Matching Execution Histories of Program Versions
|
|
- Mabel Conley
- 7 years ago
- Views:
Transcription
1 Mt Exuto Hstors o Prorm Vrsos Xyu Z Rv Gupt Dprtmt o Computr S T Uvrsty o Arzo Tuso, Arzo {xyz,upt}@s.rzo.u ABSTRACT W vlop mto or mt ym stors o prorm xutos o two prorm vrsos. T mts prou usul my ppltos lu sotwr pry tto svrl u sros. Ul som stt ppros or mt prorm vrsos, our ppro os ot rqur ss to sour o o t two prorm vrsos us ym stors ollt y ru strumt vrsos o prorm rs. W s our mt lortm o omprso o r prorm xuto stors w lu: otrol low t, vlus prou, rsss rr, s wll s t ps xrs. I vlop mt lortm w two ols: prou urt mt prou t quly. By us r xuto story, w r l to ompr t prorm vrsos ross my vorl msos. T rsult s st ly prs mt lortm. Our lortm rst uss vul stors o strutos to ty multpl pottl mts t t rs t st o mts y mt t t p strutur stls y t mt strutos. To tst our lortm w ttmpt mt o xuto stors o uoptmz optmz prorm vrsos. Our rsults sow tt our lortm prous ly urt mts w r ly tv w us omprso ppro to u optmz o. Ctors Sut Dsrptors D.3.4 [Prormm Lus]: Prossors Durs; D.2.5 [Sotwr Er]: Tst Du Du s, Tr Grl Trms Alortms, Msurmt, Rllty Kywors xuto trs, ym lyss, u, pry tto Support y rts rom IBM, Itl, Mrosot, NSF rts CCR , CCR , CCR , EIA to t Uv. o Arzo. Prmsso to m tl or r ops o ll or prt o ts wor or prsol or lssroom us s rt wtout prov tt ops r ot m or strut or prot or ommrl vt tt ops r ts ot t ull tto o t rst p. To opy otrws, to rpuls, to post o srvrs or to rstrut to lsts, rqurs pror sp prmsso /or. ESEC-FSE 05, Sptmr 5 9, 2005, Lso, Portul. Copyrt 2005 ACM /05/ $ INTRODUCTION I my pplto rs, lu t rs o sotwr u, mt pry tto, stutos rs w tr s or ompr two vrsos o prorm. A xst lss o lortms tt ompr two prorm vrsos r stt r lortms [1, 3, 8, 9]. Wl ts lortms rport stt rs tw o squs, stutos wr t two prorm vrsos orrspo to orl trsorm vrsos o prorm, t s srl to mt o squs tt ymlly v t sm v tou ty sttlly ppr to rt. I ts ppr w sr t s mplmtto o lortm or mt rs o two vrsos o prorm us tr ym xuto stors. Lt us osr t ppltos su s sotwr pry tto u o optmz o. I ts two ppltos o prorm vrso s rt y trsorm t otr vrso. I t rst pplto o ousto trsormtos my v prorm to pry [2, 13]. I t so pplto trsormtos r ppl to rt optmz vrso rom t uoptmz vrso. By prorm mt s upo xuto stors, w mt orrspo omputtos y ompr t rsults prou y tm. Stt r ppros, o t otr r m t pprt rs tus r ot sutl or ov ppltos. I s o sotwr pry tto w wll ot v ss to t sour or trmt o o t prt vrso tus mt soul prorm us rs. Our rl soluto to mt xuto stors rls oly o t vllty o rs s ym xuto stors ollt y ru strumt prorm rs [7, 11]. A Grl Mt Alortm. I vlop lortm or mt xuto stors o two vrsos o prorm w v two ols: vlop lortm tt s st,.. prs or s o mts trm quly wtout xssv sr; urt mts r ou,.. tru mts r rport vry w mts r mss. To rss ts ols w us t ollow ppro. W y osrvtvly ty pottl mts so tt rl mts r ot mss. By us r xuto story, w r l to ompr t prorm vrsos ross my vorl msos. Ts ls to mostly tru mts ou. Morovr, t umr o possl mts tt w to osr rtly rus w multpl s o ormto s us try rsult st mt lortm. Tus, y s our lortm o prorm my rt smpl mts, st o wr vry omplt mts, w ot xuto story mt lortm tt s ot st prs.
2 Mt or Comprso C. Wl mt s my ppltos, ts ppr w mostrt t ts o our mt lortm otxt o omprso [4, 5], tqu tt trms wtr rroous vor o optmz vrso s us y u t orl uoptmz vrso tt ws ums y optmz trsormtos or wtr t s u to u tt ws trou u to rror t optmzr. Comprso wors y ompr t vlus omput y orrspo xuto sts o sttmts t uoptmz optmz prorm vrsos. I o msmt vlus s ou, t t rror must prst t orl uoptmz prorm. A msmt o vlus o t otr ts tt t rror must v trou y t optmzr. I orr to prorm omprso, t omplr wrtr must wrt tol o tt rts mpp tw xuto sts o sttmts t uoptmz optmz vrsos. Moy t omplr to rt t mpps s tous tm osum ts t som stutos ts my ot vl opto. I prtulr, ommrl optmz omplr s us, w wll ot l to moy t to rt su mpps. I s o mpps /or omplr sour, t lortm w prst ts ppr us to mt t xutos o uoptmz optmz vrsos. I omplt mt s ou t t u must v prst t uoptmz prorm. I omplt mt s ot ou, t t prts o t xuto stors tt ot mt xm y t prormmr to ty t lly sour o t u. It s mportt to ot tt t stt ppros or ompr prorm vrsos wll ot tv or ts pplto wr w wt to ompr sp xutos. W tst our mt lortm y mt t xuto stors o uoptmz optmz prorm vrsos. Our rsults sow tt our lortm s vry tv s t prous urt mts tt r rly omplt (.., tr r w ls or mss mts). T rmr o t ppr s orz s ollows. I sto 2 w sr t orm o ym xuto stors us ts wor. Our mt lortm s sr tl sto 3. T rsults o our xprmts r prst sto 4. Rlt wor s suss sto 5. Colusos r v sto PROGRAM EXECUTION TRACES W rtly propos t Wol Exuto Tr (WET) [16] rprstto tt stors omprsv xuto story o prorm ly ompt orm s ottos to t stt rprstto o xutl o. W mostrt tt xuto stors o rlstlly lo prorm rus (w llo strutos) pt mmory. Blow w rly sr t ormto ot t xuto story ow t s usul mt prorm vrsos. T ym ormto torz roly to two tors: lol - vlus rsss volv xuto o sp struto; lol - rltv xuto orr ps tw rt strutos. Oly t summry o som o t ov ormto s y our mt lortm. Tror, xuto stors o v lor rus sly ollt stor or mt. Vlus prou (Lol). A strm o rsults prou y struto ur prorm xuto r ptur. I two prorm vrsos r xpt to prou t sm rsults o prorm put, t strms o vlus or vst morty o strutos r xpt to t sm t two vrsos. Tror ts strms o vlus ompr to mt strutos. Arsss rr (Lol). For mmory rr struto strm o rsss rr y t struto ur prorm xuto r ptur. Wl t tul rsss outr ur xutos o orrspo strutos o t two prorm vrsos my vry, t rltv rss osts xt smlr pttrs. Tror ts pttrs prov yt otr ms or mt strutos. Cotrol low (Glol). T wol prorm pt ollow ur xuto s ptur. Ts story ls tmporl orr o ll trst vts (.., I/O oprtos). Ts orrs prov oo strt pot or sr w vts o v typ rom t xuto stors o two prorm vrsos r mt wt otr. Dps xrs (Glol). For xuto o struto ts t otrol p story s ptur us outo wt t vlu rss stors to prou urt mts. Not tt vlu rss stors sstlly prorm mt o vul strutos tr s tt som otl or ls mts wll prou. By mt t ym t p rps, w orm wt mu rtr rtty tt t strutos truly orrspo to otr. Mt o ym t p rps orms t olltv orrtss o t mts or roup o strutos. Tus, t tvly rus ls mts. Otr. Systm lls, I/O oprtos, mmory lloto lloto oprtos r xmpls o spl vts tt r ptur. S ts vts r lly to lttl rom o prorm vrso to otr, mt tm us t tmporl orr s qut usul. From t susso t soul lr tt mt o prorm vrsos s s upo omprso o prorm vor lo my vorl msos. Ts s y to t suss o our ppro s t prvts urt mts rom ourr. 3. MATCHING EXECUTION HISTORIES T ol o t mt pross s to utomtlly stls orrspo tw xut strutos rom t two prorm vrsos. W ssum tt t two vrsos o t prorm rsult tr o vrso ws trsorm to otr trou smts prsrv prorm trsormtos. I mt t s our ol to prou ly urt mts. Aury s two msos: ompltss - w woul l to sovr s my tru mts s possl; orrtss - w woul l to sovr oly tru mts. Gv pr o xuto stors or two vrsos o prorm, w stls orrspo tw t xut strutos y xm t ym t p rps (DDGs) o t two vrsos s wll s t stors o vul strutos t DDGs. A DDG ots o or struto tt s xut t lst o or t p tt s xrs t lst o ur t prorm xuto. T mt pross ossts o tr m lortms: Sturs. Bs upo t lol xuto story o v struto, stur s omput. T sturs o strutos r ompr to trm pottl mts or xlu mts trouout t two lortms t xt. Root Nos. W y mt t roots o t ym t p rps o two prorm vrsos. T mt s ssst y lol ormto orm o t tmporl orr w t root os r xut lol ormto orm o sturs o vul strutos.
3 Dpt Nos. Gv t mt o t roots, trtv lortm s us to mt t rm os t ym t p rps. For struto o p rp, t lortm s st o mt t strutos t otr t p rp trou trtv rmt us t strutur o t ym t p rp. Nxt w suss t tls o t root mt pt o mt lortms. Dur ts lortms w wll ssum tt sturs r lry vll. Flly w suss t tls o stur rto mt. 3.1 Mt Root Nos Bor w prst t root mt lortm, w m t ollow osrvtos. Frst root o o DDG my om rom y pot t prorm s otrol low rp. Ts s us root os orrspo to strutos su s vrl tlztos, rs, mmory llotos t. ll o w ppr y wr prorm. So smt prsrv prorm trsormtos tt my v us to rt otr vrso o t prorm v st ts o ts strutos. I prtulr, struto my or lt, t my mr wt otr struto or splt to two strutos, t my rorr wt rspt to otr strutos, or t my v smply mov us ts xuto rquy to. 0 1 m Vrso Vrso 0 1 At Trsormto A Dlt m Mov rq() Mov rq() Mr & Rorr (,( 0, 1)) (, ) Rorr & Splt (, ) (( 0, 1), ) Fur 1: Mt roots o prorm vrsos. A xmpl Fur 1, llustrts t ov osrvtos. Frst ll strutos sow, w r t y lttrs, r ssum to root os tt r spr trouout t otrol low rp. T ott s tw t two vrsos ts t orrspo tw ts strutos. T tl t ur sows t trsormtos tt rsult rto o Vrso rom Vrso. To stus tw orrspo struto t two vrsos w us t otto ī. W multpl strutos o vrso orrspo to o struto t otr vrso, susrpts r us. Nxt w prst root mt lortm tt s s t to out t ov osrvtos. Gv two vrsos o prorm, Vrso Vrso, w y rst rt tmporlly orr lsts o t root os, Roots Roots, s ollows. E root o pprs o t lst. T orr w os ppr orrspos to t orr w tr rst xutos too pl. Ts orr s trm rom t ull otrol low tr. Gv t two lsts, ll to uto Mt(Roots,Roots) Fur 2 prous mt o t root os. T outom o t mt pross s tto o prs o os rom Roots Roots tt mt st o os UMt UMt tt ot t os tt o ot v orrspo mts. Mt(Roots,Roots) { Mt UMt UMt φ; rst(roots); rst(roots); wl Roots φ o s( ) = s( ) t Mt Mt {(, )}; rq( ) = rq( ) t xt(roots); xt(roots); Roots Roots { }; Roots Roots { }; ls rq( ) < rq( ) t xt(roots); Roots Roots { }; rq( ) rq( ) rq( ); ls rq( ) > rq( ) t xt(roots); Roots Roots { }; rq( ) rq( ) rq( ); ls xt(roots); = l t UMt UMt { }; rst(roots); rst(roots); wl Roots φ t or Roots o (, ) Mt t UMt UMt {}; or rtur(mt,umt,umt) } Fur 2: Mt tmporlly orr roots. Our lortm ts o struto rom Roots t tm (ot s ) s t struto(s) rom Roots tt mt ts struto. To mt, t stur o, s( ), s ompr wt t sturs o strutos Roots o t tm. I mt s ou wt struto Roots, umr o ss rs. I rquy o t mt strutos s t sm, w osr mt o ot to omplt ty r rmov rom t lsts. I t rquy o s lowr, t w osr t mt o to omplt ut ot tt o tus, s rmov ut ot. I t rquy o s lowr, t w osr t mt o to omplt ut ot tt o. Us t ov lortm w l o struto o vrso to mt wt multpl strutos t otr vrso. Also, ll strutos vrso tt o ot mt y struto t otr vrso r lso t.
4 Wl t ov lortm pprs to qut smpl, t s vry tv prt. W pply t ov lortm to t xmpl o Fur 1 sow ow our lortm ts t orrt mt. Lt us rst osr xutos o t two vrsos o t prorm o t sm put. Lt us ssum tt t xuto pt ollow ur ts xutos s s ollows: Vrso : m 0 1. Vrso : ā ē ē ī 0 ḡ ī 1. From t ov otrol low pts w orr lst o t root os s upo w t strutos wr xut t rst tm t ov tr. I to, w lso omput t umr o tms struto s xut. Blow w v t orr rquy o t xut strutos. Roots ( struto rq. ): m 1 Roots ( struto rq ): ā ē 01 ḡ Now lt us osr t mt o t ov lsts. W strt wt mt m rom Roots ut o mt s ou v tr trvrs t tr Roots lst. Tror t s put to UMt. r sussully mt wt ā s tr rqus mt, ty r rmov rom t lsts. T st Mt s upt to rlt t ou mts. Nxt 0 s mt wt. Howvr, s s r rquy t s ot rmov rom t Roots lst.,, r mt xt wt, ē,. s mt wt ī 0 ī 1. s mt wt. 1 s mt wt ts tm s rmov rom Roots.,, r mt wt, ḡ,. Now Roots s mpty s Roots ots, t s mov to UMt. Mt = {(, ā), (, ), ( 0, ), (, ), (, ē), (, ), (, ī 0), (, ī 1), (, ), ( 1, ), (, ), (,ḡ), (, )} UMt = {m} UMt = { } Tus, w s tt spt t umrous pprt rs tw t two prorm vrsos, ll roots v xtly mt or t ov xmpl. 3.2 Mt Dpt Nos Atr mt t root os w pro to t mt o t pt os,.. t trl os t l os t DDGs o t two vrsos. I ts stp o t mt pross w v mor ormto vll t t root mt stp. For pt os ot oly o w v t lol sturs o vul strutos tt r us mt; to, t p strutur o t DDG s lso mt. For trl o o DDG vrso to mt trl o t otr DDG vrso, t ollow otos must ol: sturs o must mt; sturs o ll orrspo prts o must mt s t prts supply t opr vlus; sturs o som orrspo lr o o-l os must mt s t rsults must v smlr uss. T p strutur mt ot oly ls mor urt mt, s ot t sturs t ps o orrspo strutos must mt, t lso ls str mt s t stur o struto o vrso oly ompr wt sturs o lmt umr o struto sturs rom t otr vrso. T lttr s tru us t mt s rv y t p strutur. T mt w sr xt ossts o multpl psss ur w or struto t DDG o o vrso, Mt st ot t orrspo mt strutos t otr vrso r trm. T Mt sts r osrvtvly ovrstmt t trtv pross otus to r ts sts tll vtully o mor rmt ours. T rmt s rr out y rptly pply two psss, orwr pss wr pss. Gv struto DDG, t my rtly ot y s to two typs o os, ts prt os ts l os. Dur t orwr pss, or v struto DDG o o vrso, pottl mt ts rom t DDG o t otr vrso r t y osr t mt rltosps o prt os o. Ts stmt s urtr r y osr t mt rltosps o l os o t wr pss. T rmt pross s trtvly ppl y rpt t orwr wr psss tll o urtr rmt s possl. s() = s(ā); s() = s( ) = s(ī); s() = s( ) = s(ḡ); s() = s( ) = s( ); s() = s(ē); s( ) o mt Fur 3: Itl root mts. W rst llustrt t mt pross us smpl xmpl t prst tl lortm. Cosr t two DDGs sow Fur 3 t rltosps tw sturs o strutos rom t two vrsos. Aor to t sturs v, t p strutur, os,,,, mt wt os ā,,,, ē rsptvly. Now w llustrt ow t mt pross s rr out. Frst t root mt s prorm us t lortm sr t pr sto. Lt us ssum tt t prous t rsult sow ov,.. Mt() = {ā} Mt() = {, ī}. T orwr pss s mts or rm os s ollows. It xms t os orr osstt wt t topolol sort orr o t os t DDG. Frst t xms o. To orrspo strutos t rst s t st. S s o prt,, Mt() = {ā}, t lr o ā,.. {, ḡ}, t pottl mts or tus ty orm t t st. Now t stur o s ompr wt sturs o ḡ. S t sturs mt, t rst pproxmto o Mt() s {, ḡ}. Smlrly w trm tt Mt() = {, }. Nxt w xm o w s two prts. T mt os o r xm w tt tr r two os t t st ts tm, ē. Ts s us ot ts os lso v two prts l w om rom sts Mt() Mt() rsptvly. Howvr, ts tm w w mt sturs, wl w tt ē rms vl mt, s ot mt or. Tus t t o t orwr pss, t Mt sts r s sow Fur 4.
5 tt s() = s( ), t,, wll mt prs o os {, ḡ}, {, }, {ē, } rsptvly. T xmpl osr so r s llustrt t y s our mt lortm. Howvr, t xmpl osr ws smpl o rspt. T DDG o t rst vrso ws ot ts xt sm orm t orrspo lrr DDG o t otr vrso. Howvr, s mto ur t vlopmt o t root mt lortm, t so vrso my rt rom t rst ts orm u to prorm trsormtos us to rv t so vrso rom t rst. Lts osr otr xmpl to llustrt tt t sm s lortm tt ws sr ov wt som smpl ut mportt motos lso wors or mor rl stutos. Vrso Fur 4: Forwr pss: Mt DDGs. 0 1 Now lt us prorm t wr pss. I ts pss w m us o t Mt st or t oly l o to r t Mt sts o ts prt os vtully t root os. I otr wors t os r xm t rvrs topolol orr ts tm. Lts osr o rst. No s o l o su tt Mt() = {ē}. T mt ts or r os s ty r t two prts o ē. Howvr, tr mt t sturs, s lmt wl rms. By trst ts wr stmt or Mt() wt t rlr orwr stmt w olu tt Mt() = { }. Smlrly Mt() ts r to { }. W w otu t ov pross to t roots, w tt wl Mt() = {ā} rms t sm, Mt() s r to { }. Not tt t Mt sts t ts pot rprst t sr rsults (s Fur 5). 2 3 At Trsormto A (opy/mov) ( 0, ē 1 ) Dlt (spll/st-l) ( 2, 3 ) Mr (ruy) ( 0, 1 ) Splt (rmtrlzto) ( 0, 1 ) Smt (rssoto) ((( 1, ), )) ( (, ( 1, ē 1 )) Vrso Vrso 0 o Fur 5: Bwr pss: Mt DDGs. Wl t ov xmpl w prorm t orwr pss o wr pss o, rl w my v to pply tm rptly tll t Mt sts stlz. T umr o rpt ppltos s ou y t pt o t DDG. Howvr, prt rpt pplto s lmost vr rqur. Altou t ov xmpl struto t rst DDG mt wt xtly o struto t so DDG, rl ts my ot t s. For xmpl, w t xmpl su Dsr Mt Fur 6: Aotr xmpl o mt DDGs. I Fur 6 two vrsos o DDG r sow tt r rt tr strutur u to t trsormtos ppl to rv vrso o t prorm rom vrso. Lts loo t ow t trsormtos v t rp. Drs rstr lloto sos or xmpl, rsult to lto o os. Corrspo to o w v two os ē 0 ē 1
6 t vrso ē 1 orrspos to MOV struto tt movs t rsult o ē 0 rom o rstr to otr us t to o o. Nos 2 3 orrspo to spll o 2 stors t rsult o 0 wl 3 rlos ts vlu or us y. Bttr rstr lloto my lmt ts spll l to vrso o t rp. I vrso 0 1 prorm t sm omputto tus ty r mr ur ruy lmto. Tus, vrso ots sl o orrspo to os 0, 1, 2, 3 t vrso. No s splt to 0 1 u to rmtrlzto. Rssoto s prorm us trmt omputto vrso to rpl y rt trmt omputto vrso. 0 1 Vrso p() mp() p() mp() 1 2 Forwr Pss 3 3 () m() Bwr Pss () 2 m() 1 2 Fur 8: Mt ts Vrso Fur 7: Sps o mt portos. T orrt mt or ts xmpl s lso sow Fur 6 t mt portos o t two vrsos r sow ptorlly Fur 7. T mportt t to ot r s tt, ul t prvous xmpl suss, ts s t orrspo mt portos o t DDGs o ot v tl sz or strutur. Lt us ow osr ow su mts sovr. Cosr t orwr pss s llustrt rlr. Gv o o vrso o t DDG, orrspo o t otr DDG tt s t or mt wt ws rlt to s ollows. Tr ws prt o, sy p(), su tt p() mt mp() ws l o mp(). O ours tr my my os tt stsy ts rtr ty ll r osr s mt ts. Ts rul s rlz s ollows. Frst p() ot mmt prt o ut rtr t s t losst stor o tt s o-mpty mt st. Ts rul s to t ross os tt o ot v y orrspo mts. Not tt su os my trou y trsormtos. So o mp() s ow, t ts or mt tt r osr must lu mp() ll rt or rt sts o mp(). Ts rul s us tr trsormtos v ppl, w my v s o os o vrso tt mt sl o otr vrso. T mo rltosp tw s llustrt Fur 8. Smlr s r m to t wr pss. Dur t wr pss, v o orrspo o tt s t or mt wt ws rlt to s ollows. Tr ws l o, sy (), su tt () mt m() ws prt o m(). Ts rul s rlz s ollows. Frst () ot mmt l o ut rtr t s t losst st o tt s o-mpty mt st. A ts rul s to t ross os tt o ot v y orrspo mts. So o m() s ow, t ts or mt tt r osr must lu m() ll rt or rt stors o m(). A, ts rul s us s o os o vrso my mt sl o otr vrso. Ts mo rltosp tw ur t wr pss s llustrt Fur 8. I w rosr t xmpl Fur 7, w s ow t ov rlz ruls wll l t mt sow to sovr. W t surp 1 s mt to 1, rst w r l to mt t to. So v tou t mmt l o 1,.. s mpty mt st, w r l ross ovr mt wt t mmt l o. Tus 1 s lso sussully mt wt. For smlr rsos w r l to sussully mt to { 0, 1, 2} to {ē 0, ē 1}. W olu y prst t tl mt lortm. Bor prst ts lortm w v t prs tos o mmt stors/sts (A/Ds) ll stors/ sts (A/Ds). Ts tos r y to t sts ur mt orport t ruls ust suss. Lt us ot DDG s G(N, E), wr N s t st o os E s t st o s. Furtrmor lts ot E to t sust o s E su tt G (N, E ) orms yl rp. T tos o ll mmt stors sts r v Fur 9. Not tt t omputto o mmt stors/sts ps upo t Mt sts mpty or ot. T tl mt lortm s v Fur 9 w w v two DDGs, DDG = G(A, E ) DDG = G(B, E ), omputs t Mt st or o A to t sust o os B tt r ou to mt. As lry suss, ollow tlzto t lortm trts ovr orwr wr psss. Dur t omputto o C st or o t orwr pss t s sur trou t us o t trsto oprtor tt o Vrso uss two oprs, t mt
7 o Vrso lso uss two oprs. O t otr, ur t omputto o C st or o t wr pss t s sur trou t us o uo oprtor tt t umr uss o vlu omput y o vry tw t two vrsos. T lortm trmts w ll Mt sts stlz. Follow ts, t umt os DDG r t os wos Mt sts r mpty t umt os DDG r tos tt o ot lo to Mt st o y o A. S A() := {} A(p) (p ) E S Ds() := {} Ds() ( ) E A() := ( Ds() := ( S ( ) E Mt() φ ( S {} ) ( ) E Mt()=φ S ( ) E Mt() φ ( S {} ) ( ) E Mt()=φ A() ) Ds() ) MtDtDpGrps(DDG,DDG ) { Gv: Lt DDG = G(A, E ); DDG = G(B, E ); Itlzto o Mt sts. or o A o s root o t Mt() s ou y t root mt lortm. ls Mt() B or Itrtv rmt o Mt sts. Wl Mt sts otu to o Forwr Pss: Lt topoa t topolol sort orr o A or o TtopoA xlu S roots o C = ( Ds( ) ) A() Mt() Mt() = Mt() { : C s( ) = s()} or Bwr Pss: Lt topoa 1 t rvrs topo. sort orr o A or o StopoA 1 xlu S lvs o C = ( A( ) ) Ds() Mt() Mt() = Mt() { : C s( ) = s()} or wl } Fur 9: Mt t p rps. 3.3 Stur Mt Now w sr ow t lol stors o strutos r us to orm tr sturs ow stur mt s prorm. W w mt t lol stors o two strutos, w sstlly mt t strm o rsults prou y t strutos. T rsults prou y struto tr rprst strm o t vlus or strm o rsss. T most ovous ppro s to loo or xt mt tw t strm o vlus. Howvr, ts s ot oo wy to mt strutos. Rll tt prorm trsormtos my ltr t orr w struto sts r xut lso t umr o tms struto s xut my rs or rs. Tus, t lst o rsults or my strutos r ully to mt xtly. O rso or t umr o xutos s u to lmto o sts. By lmt ll sts rom ot vrsos o t ym stors w vo ts prolm. Howvr, rmovl o sts s ot t oly rso. Svrl otr optmztos, ruy lmto spultv o moto, lso us su s. Tror w rv smplr sturs rom xt lst o rsults su tt t rv sturs sly mt v prorm trsormtos v t t orrspo strutos. For strutos wt lo xuto stors su smpltos r ully to us sturs o strutos tt o ot orrspo to otr to mt. I s xuto stors or som strutos r vry smll, tr s posslty o otl mts. Howvr, su ss t mt o p strutur s lly to vo ls mts. Mt Dt Vlu Strms. A orr strm o t vlus s ovrt to smplr rprstto osst o vtor o uqu vlus (U). W mt xuto stors, w smply loo or ossty ot qulty. Gv two strutos I 1 I 2, w osr tr vlu vtors U 1 U 2 to mt tr U 1 U 2 ot t sm st o vlus or ll vlus ot U 1 (U 2) r ot U 2 (U 1). I vlus U 1 r sust o vlus U 2, w osr struto I 1 to ully mt I 2 to prtly mt. Mt Arss Strms. W osr rss strms w ot smply mt t uqu rsss us t rsss wll vry v ty orrspo to otr. For l mt o rsss, w rst ovrt tm to osts. I s o p rss t ost s msur rom t s rss o mmory lo llot rom t p. I s o st rss t ost s msur wt rspt to t rst ss v t st potr. O ts ovrso s rr out, t omprso o rss strms prorm t sm so s tt or vlu strms. Ts ppro s tv us ssum tt rssv mmory lyout optmztos r ot prorm. 4. EXPERIMENTAL RESULTS Mt s mplmt t Trmr systm [17]. Our mplmtto rs rom t prst lortm tt t prorms xustv omprsos ur root mt st o us tmporl orr to spup root mt. W rt two vrsos o VLIW m o support ur t Trmr systm y rt uoptmz optmz vrso o prorms. W r t two vrsos o t sm put, ollt tr tl wol xuto trs. T xuto stors o orrspo utos wr t ompr. T IMPACT systm o w Trmr s s supports w r o optmztos. To l uto y uto omprso o ym stors, w tur o uto l. To vlut our mt lortm w rr out two sts o xprmts. Frst w us t to mt uoptmz optmz vrsos wr o rrors wr prst t optmzr. Ts xprmt ws out to s ow tv (st urt) s our mt lortm mts w ty xst. So xprmt ws rr out to vlut t tvss o mt ur omprso wr rrors wr trou t optmz o. Bor prst t rsults o xprmts w sr t mrs us ts stuy. 4.1 Bmr Crtrsts T prorm vrsos us ts vluto r summrz Tl 1. For prorm rtrsts o two vrsos, uop-
8 tmz (.U) optmz (.O), r v. T umr o xut utos (utos prst) prorm r v. T stt umr o strutos vrso t umr o strutos xut ur prorm rus r v. As w s, t stt o sz t umr o strutos xut rs stly or t two vrsos. Ts s us o rssv optmztos rr out y IMPACT. Optmzto lvl O = 4 ws us w prorms ostt propto, opy propto, ommo suxprsso lmto, ostt om, ostt ol, o moto, strt ruto, o rmovl, loop optmztos t. Tl 1: Prorm rtrsts. Prorm Futos Istrutos U/O Ex. (Exst) Stt Num. Ex. (mllos) l.u/o 118 (357) 37491/ /65.1 m88sm.u/o 25 (252) 68349/ /61.8 twol.u/o 51 (191) / /63.3 o.u/o 277 (372) / /62.4 vortx.u/o 307 (923) / /60.8 prsr.u/o 32 (324) 56526/ /62.1 S t omprso s rr out tw optmz uoptmz vrsos o prorm, our lortm s tv, t soul mt vry prt o strutos rom t optmz vrso wt orrspo strutos t uoptmz vrso. T umr o strutos uoptmz o tt mt somt t optmz o s xpt to lowr us my sttmts r lmt y t optmztos (.., ruy lmto, o rmovl, opy propto). Flly w xpt som strutos optmz o ot to mt yt t uoptmz vrso u to spl turs (strutos) o t VLIW m tt r xplot y IMPACT oly ur rto optmz o (.., r rmt strutos us sotwr ppl o, lo spult lo vry strutos). I Tl 2 w prst t rtrsts o t DDGs o uoptmz optmz vrsos o t xut utos. T vr umr o xut root os, l os, trl os ross ll xut utos prorm r lso v. As w s, t vrsos r stly ot oly t umr o os ty xut ut lso t sps o t ym p rps s ll tr typs o os r tr umr. Ts s us t IMPACT systm prorms ot m pt m pt optmztos vry rssvly. Tl 2: DDG rtrsts. Prorm. Av. Ex. Num. Aross Fus U/O Vrso Roots Lvs Itrl Nos l.u/o 17.2/ / /14.0 m88sm.u/o 20.7/ / /268.0 twol.u/o 67.1/ / /102.0 o.u/o 38.8/ / /65.4 vortx.u/o 53.0/ / /39.0 prsr.u/o 17.7/ / / Aury Cost o Mt Now w prst rsults w uoptmz vrso ws mt wt optmz vrso tt o rrors trou t y t optmzr. T ol o ts xprmt s to stuy t ury ost o our mt lortm. I Tl 3 w summrz t xtt to w t xuto stors o prorm vrsos wr mt. T totl umr o sttlly stt os tt wr xut t lst o r v or prorm vrso. Ts umr o xut os orrspos to t totl umr o xut os mt ll o t utos om. Ts r lso t os tt our lortm ttmpts to mt wt otr. T prt o ts os vrso or w mts wr ou t otr vrso r v. O vr, or ovr 95% o t os t optmz o, o or mor orrspo mts wr ou. For t uoptmz o ts umr s lowr s xpt. Ts s us, tr rssv optmzto, t vr umr o strutos t uoptmz vrso s rly 25% lss t t uoptmz vrso (12909 vs ). My o ts strutos v o orrspo struto t optmz o. Tl 3: Nos mt. Prorm Optmz Uoptmz Nos Mt (%) Nos Mt (%) l m88sm twol o vortx prsr Avr Altou som o t strutos wr ot mt y our mt lortm, ts os ot ssrly m tt t mts soul v ou ut wr mss y our mt lortm. Som strutos r ot mt u to t turs o t VLIW m us oly y t optmz vrso optmztos su s strt ruto w trou omputtos tt prou rt trmt rsults t two vrsos. Tror, to trm t ompltss o t ov mts w xm t os t mts rt. S ts pross to prorm mully, w oul ot prorm t or ll t utos. W rst loo t my smll utos ou tt tr mts wr lmost lwys 100% omplt. T or prorm w slt xut uto s upo ts omplxty: w slt t lrst uto or w t umr o stt xut strutos t two vrsos r t most. T umr o stt strutos xut t optmz (Ex.O) uoptmz (Ex.U) vrsos o slt utos r v Tl 4. W mully ou t tul totl umr o mt prs o strutos y osr ll xut strutos rom t optmz o. By ompr ts mt prs wt tos ou y our lortm, w trm t umr o prs tt r mss t umr tt r ls mts. T rsults o ts xprmt v Tl 4 sow tt w mss vry w Tl 4: Mt ury. F.Prorm. Ex.O Ex.U Mts Vrso Atul Mss Fls l m88sm twol o vortx prsr prs ltou w o som mor ls mts. Ts s ot surprs s our stur mt s osrvtv tus w r lss lly to mss mts mor lly to som ls mts. Howvr, v som ls mts s ot srous prolm or two rsos. Frst, or vry struto tt w ou ls mt, w lso ou t tru mts. So, w lv
9 tt ls mts urtr ru wtout t propos lortm. Lor /or multpl rus o t two prorm vrsos us to r t mts ou y sl ru. Flly w lm tt mss mts r mor rmul tt ls mts us usr xm t mts ou lmt ls mts ut mss mts s r mor tous. Tror w v s our lortm to o t osrvtv s, mor mts r ou t truly xst. Tl 5 vs t totl sp ( MByts) tm ( sos) ost o mt. T sp ost mly rss u to t ym story us wl t tm rprsts t ort t ts to mt ll o t xuto utos. As w s t tm sp osts r rsol to mt xutos o rly lr prorms volv xuto o urs o stt utos. Tl 5: Cost: Sp, tm, trtos (vrs). Prorm Sp Tm Itrtos (MB) (s.) DDG Num. Atr Fl Dpt Itr. 1 Itr. Itr. l m88sm twol o vortx prsr W lso stu ow quly our trtv mt lortm stlzs. I Tl 5 t vr pt o t DDGs ross ll utos s v (DDG Dpt). T vr umr o trtos (Num. Itr.) t tully too or sts to stlz s lso v. As w s, ltou t pts o t rps lr, t umr o trtos rqur or t Mt sts stlz s smll. T vr mt st szs tr rst trto (Atr 1 Itr.) tr lortm stlz (Fl) r lso v to sow tt ty r ru stly y our trtv lortm. 4.3 Mt or Comprso C Nxt w vlut mt otxt o omprso. W t tr rt rrors to t rst tr mrs. Ts rrors smult t t o rroous t low rsults or ommo suxprsso lmto, opy propto o lmto. Dur omprso mt s us to mt s my strutos s possl tw t xut uoptmz optmz vrsos t rulr trvls (xuto o 8 mllo strutos). T strutos tt o ot mt r rport to t usr or xmto s ty my ot rror. W plott t umr o stt rport strutos s prt o stt xut strutos ovr tm two stutos: w optmz prorm o rror w t ot rror (s Fur 10). T pots t rp r lso ott wt t tul umr o strutos rport. T trvl ur w rror pot s outr ur xuto s mr. As w s, ompr to t optmz prorms wtout rrors, t umr o rport strutos rss srply tr t rror trvl pot s outr. For two out o t tr mrs, t rss r srp 6% to 14% or m88sm 3% to 35% or twol. I t w w loo t t tul umr o strutos rport mmtly or tr t xuto trvl ur w rror s rst outr, t umr rport rss y orr o mtu. For l t rror s su tt rroous rsults r ot propt r tus w s smllr rs. Usr xm t rport strutos rly quly ous o rroous strutos s t umr o rport strutos s smll l. I otr ss wr t umr s lr, y xm t strutos t orr ty r xut, rroous strutos quly solt. Otr rport strutos r mrly pt upo t strutos tt r t root uss o t rrors. For xmpl, twol, out o t ovr 2000 rport strutos t t o so trvl, w oly to xm t rst 15 rport strutos tmporl orr to rroous struto. Not tt v w o rrors r outr, som strutos t optmz vrso r vrtlss rport. T rport o som strutos s uvol v wt prt mt lortm us tr s o orrspo mt or tm t uoptmz vrso. Rport rto Rport Rport rto m88sm w/o ERROR rror trvl w/error Exuto lt(mllos) twol w/o ERROR rror trvl w/ ERROR Exuto Lt (mllos) l w/o ERROR rror trvl Exuto lt(mllos) w/ ERROR Fur 10: Sttmts rport or. From t rsults o t ov xprmt w s tt rroous vor s ut vry tvly y our mt lortm. Tus, w olu tt our mt lortm ms t ts o mplmt omprso smpl s t os ot rqur t omplr wrtr to rt mpps tw uoptmz optmz strutos. Morovr, t omplr os ot prov su mpps o sour or t omplr s vll (.., t s ommrl omplr), w stll mplmt omprso us our mt lortm
10 5. RELATED WORK Stt r lortms. A xst lss o lortms tt ompr two prorm vrsos r stt r lortms [1, 3, 8, 9]. Ts lortms prorm r t rt lvls: [9] s rs us l y l omprso, [1, 8] rs y ompr otrol low rps, [3] omprs put/output ps o prours. Wt t xpto o [3], ts lortms rport sttmts tt ppr to rt s rt. Morovr, ts lortms wor wt sour or trmt o rprsttos o t prorm vrsos. I otrst our mt lortms wor t ry lvl ty mt strutos tt ymlly v t sm v tou ty sttlly ppr to rt. Dr ym stors. Rsr s rr out o r ym stors o prorm xutos. T ts o su lortms or sotwr mt v roz. I [10] Rps t l. m us o pt prols to roz Y2K us prorms. Wl [14] s vlop systm tt ls prormmr to vsulz t s t ym vor o prorm. Howvr, ts wors ym stors o rt xutos, orrspo to two rt puts, o sl vrso o prorm r ompr. I otrst, our wor osrs mt o ym stors o two prorm vrsos o t sm put. Exst mt tqus. Tr r som xst tqus or mt: prour xtrto [6] rqurs sour or trmt o mts wl BMAT [12] wors o rs. BMAT mts rs to l propto o prol t ollt y xut o ry to trsorm ry so tt rxuto o t lttr oul vo. Gv t tur o ts pplto, t m ss to mt rs sttlly. O t otr, ppltos su s omprso sotwr pry tto w r trst mt t ym vors o two vrsos t xuto prols o t two vrsos r lry vll. 6. CONCLUSIONS I ts ppr w prst lortm or mt xuto stors o two prorm vrsos. S rsults prou y strutos r us to prorm t mt, w r l to mt strutos tt ppr to rt ut omput t sm rsults. I ts wy w ovrom t prolm o mt strutos prs o rt prorm trsormtos tt my v ppl rt t two vrsos. To vo ls mts w strutos otlly prou t sm rsults, w lso mt t ym t p struturs o t omputtos. A our lortm or mt t p strutur sus mt p rps tt v t sm ut ppr to rt. W mostrt tt us mt w l mplmtto o omprso v t s o sour o o t optmz omplr. Our oo wor s xplor t us o mt sotwr pry tto. 7. REFERENCES [1] T. Apwttpo, A. Orso, M.J. Hrrol, A Dr Alortm or Ot-Ort Prorms, IEEE Itrtol Co. o Automt Sotwr Er, ps 2-13, [2] C. Collr, C. Tomorso, D. Low, Br Astrtos Ustrutur Dt Struturs, IEEE Itrtol Cor o Computr Lus, ps 28-38, Co, IL, [3] D. Jso D.A. L, Smt D: A Tool or Summrz t Ets o Motos, IEEE Cor o Sotwr Mt, ps , Nov [4] C. Jrmllo, R. Gupt, M.L. So, Comprso C: A Appro to Avo Du o Optmz Co, 7t Europ Sotwr Er Cor ACM SIGSOFT 7t Symposum o Foutos o Sotwr Er, LNCS 1687, Sprr Vrl, ps , Toulous, Fr, Sptmr [5] C. Jrmllo, R. Gupt, M.L. So, Du Tst Optmzrs trou Comprso C, Itrtol Worsop o Complr Optmzto Mts Complr Vrto, Eltro Nots Tortl Computr S 65 No. 2 (2002), l outo wt ETAPS, Grol, Fr, Aprl [6] R. Komooor S. Horwtz, Smts-Prsrv Prour Extrto, 27t ACM SIGPLAN-SIGACT o Prpls o Prormm Lus, ps , [7] J.R. Lrus E. Srr, EEL: M-Ipt Exutl Et, SIGPLAN Cor o Prormm Lu Ds Implmtto, ps , [8] J. Ls W. Szrmr, Itto o Prorm Motos ts Appltos to Sotwr Mt, IEEE Cor o Sotwr Mt, ps , Nov [9] E.W. Myrs, A O(ND) Dr Alortm ts Vrtos, Alortm, 1(2): , [10] T. Rps, T. Bll, M. Ds, J. Lrus, T Us o Prorm Prol or Sotwr Mt wt Appltos to t Yr 2000 Prolm, 6t Europ Sotwr Er Cor ACM SIGSOFT 5t Symposum o Foutos o Sotwr Er, ps , [11] A. Srvstv A. Eust, ATOM - A Systm or Bul Customz Prorm Alyss Tools, SIGPLAN Cor o Prormm Lu Ds Implmtto, ps , [12] Z. W, K. Pr, S. MFrl, BMAT - A Bry Mt Tool or Stl Prol Propto, T Jourl o Istruto Lvl Prlllsm, 2, My [13] C. W, J. Dvso, J. ll, J. Kt, Protto o Sotwr-s Survvlty Msms, Itrtol Cor o Dpl Systms Ntwors, ps , Gotor, Sw, July [14] N. Wl, Fstr Rus Mt Us Sotwr Ross, Tl Rport SERC-TR-75F, SERC, Uv. o Flor, CIS Dprtmt, Gsvll, FL, July [15] A. Zllr, Isolt Cus-Et Cs rom Computr Prorms, ACM SIGSOFT 10t Itrtol Symposum o t Foutos o Sotwr Er, Crlsto, Sout Crol, Novmr [16] X. Z R. Gupt, Wol Exuto Trs, IEEE/ACM 37t Itrtol Symposum o Mrorttur, Portl, Or, Dmr [17] T Trmr Complr Rsr Irstrutur. Nov [18] S.S. Mu. Av Complr Ds Implmtto, Mor Kum, 1997.
ELECTRICAL CAPACITY SYMBOL EQUIPMENT TYPE LOCATION / SERVING MFR MODEL (GALLONS) VOLTS PH AMPS WATTS
OT: This is a stadard symbol list ad ot all items listed may be used. bbreviatios () XT OV OOR OW OOR P OW PRVTR OT R OT. OTTO V VV W O WTR R OT TR OW T TR O OOR OT OOR R T T O P O PR OR P O PR T W R WT,
More informationReading. Minimum Spanning Trees. Outline. A File Sharing Problem. A Kevin Bacon Problem. Spanning Trees. Section 9.6
Rin Stion 9.6 Minimum Spnnin Trs Outlin Minimum Spnnin Trs Prim s Alorithm Kruskl s Alorithm Extr:Distriut Shortst-Pth Alorithms A Fil Shrin Prolm Sy unh o usrs wnt to istriut il monst thmslvs. Btwn h
More informationVictims Compensation Claim Status of All Pending Claims and Claims Decided Within the Last Three Years
Claim#:021914-174 Initials: J.T. Last4SSN: 6996 DOB: 5/3/1970 Crime Date: 4/30/2013 Status: Claim is currently under review. Decision expected within 7 days Claim#:041715-334 Initials: M.S. Last4SSN: 2957
More information4.1 Interval Scheduling. Chapter 4. Greedy Algorithms. Interval Scheduling. Interval Scheduling: Greedy Algorithms
1 ptr 4 41 Intrvl Suln ry lortms Sls y Kvn Wyn opyrt 5 Prson-son Wsly ll rts rsrv Intrvl Suln Intrvl Suln: ry lortms Intrvl suln Jo strts t s n nss t Two os omptl ty on't ovrlp ol: n mxmum sust o mutully
More informationPRESENTED TO. Data Leakage Worldwide: The Effectiveness of Corporate Security Policies
PRSNTD TO Dt Lk Worlw: T tvnss o Corport Surty Pols UUST 2008 Ovrvw Rsr Otvs Cso ontrt nst xprss to xut n ntrntonl survy wt ous on t ollown otvs: xplor mploy us o ompny vs, nlun ommunton srvs n vs us,
More informationForm: Parental Consent for Blood Donation
A R C Wt, C 20006 Ptl Ct f B i Ifi T f t y t ll f i y tl t q y t l A R C ly. Pl ll 1-800-RE-CROSS (1-800-733-2767) v. if y v q r t t i I iv t f yr,, t, y v t t: 1. Y y t t l i ly, 2. Y y t t t l i ( k
More informationWAVEGUIDES (& CAVITY RESONATORS)
CAPTR 3 WAVGUIDS & CAVIT RSONATORS AND DILCTRIC WAVGUIDS OPTICAL FIBRS 導 波 管 & 共 振 腔 與 介 質 導 波 管 光 纖 W t rqu is t irowv rg >4 G? t losss o wv i two-odutor trsissio li du to iprt odutor d loss diltri o
More informationUses for Binary Trees -- Binary Search Trees
CS122 Algorithms n Dt Struturs MW 11:00 m 12:15 pm, MSEC 101 Instrutor: Xio Qin Ltur 10: Binry Srh Trs n Binry Exprssion Trs Uss or Binry Trs Binry Srh Trs n Us or storing n rtriving inormtion n Insrt,
More information1.- L a m e j o r o p c ió n e s c l o na r e l d i s co ( s e e x p li c a r á d es p u é s ).
PROCEDIMIENTO DE RECUPERACION Y COPIAS DE SEGURIDAD DEL CORTAFUEGOS LINUX P ar a p od e r re c u p e ra r nu e s t r o c o rt a f u e go s an t e un d es a s t r e ( r ot u r a d e l di s c o o d e l a
More informationA New Efficient Distributed Load Balancing Algorithm for OTIS-Star Networks
Int'l Con. Pr. n Dst. Pro. T. n Appl. PDPTA' A Nw Ent Dstrut Lo Blnn Alortm or OTIS-Str Ntwors A. Aww 1, J. Al-S 1 Dprtmnt o CS, Unvrsty o Ptr, Ammn, Jorn Dprtmnt o ITC, Ar Opn Unvrsty, Ammn, Jorn Astrt
More informationPaper Technics Orientation Course in Papermaking 2009:
P P Otto Cou Pmkg 2009: g to mk u tt you ol o tgt P Wo ould ttd? Otto Cou Pmkg wll b of vlu to t followg gou of ol:- 1. P mll mloy, wo dl dtly wt t o of mkg d w to mov t udtdg of t o d t mll oto t bod
More informationEuroFGI Workshop on IP QoS and Traffic Control TITOLO. A Receiver Side Approach for Real-Time Monitoring of IP Performance Metrics
EuroFGI Workhop on IP QoS n Trff Conrol TITOLO A Rvr S Approh for Rl-T Monorng of IP Prforn Mr TESI R. G. Grroppo, S. Gorno, F. Oppno, G. Pro Dp. of Inforon Engnrng Unvry of P 1 Lbon, Porugl, Dbr 6-7,
More informationCampus Sustainability Assessment and Related Literature
Campus Sustainability Assessment and Related Literature An Annotated Bibliography and Resource Guide Andrew Nixon February 2002 Campus Sustainability Assessment Review Project Telephone: (616) 387-5626
More informationAttorney Directory. Prepared for on 12/8/2008. Helping you balance work and life. To use your plan:
Prepared for on 12/8/2008 ttorney irectory R PRT elping you balance work and life elow is a list of etwork ttorneys with offices located near you. You can save money on legal services by using a etwork
More informationOracle PL/SQL Programming Advanced
Orl PL/SQL Progrmming Avn In orr to lrn whih qustions hv n nswr orrtly: 1. Print ths pgs. 2. Answr th qustions. 3. Sn this ssssmnt with th nswrs vi:. FAX to (212) 967-3498. Or. Mil th nswrs to th following
More informationH ig h L e v e l O v e r v iew. S te p h a n M a rt in. S e n io r S y s te m A rc h i te ct
H ig h L e v e l O v e r v iew S te p h a n M a rt in S e n io r S y s te m A rc h i te ct OPEN XCHANGE Architecture Overview A ge nda D es ig n G o als A rc h i te ct u re O ve rv i ew S c a l a b ili
More informationComparing plans is now simple with metal plans. What Does it Mean to Have a 6-Tier Pharmacy Plan? Tie. Individual Health Insurance
Compg p ow mp wth mt p Iu p py 0% 0% Iu p py T T T T T T 0% t to M G - No G B No B Iu p py 0% Iu p py Iu Hth Iu Mt p po you wth ho. Th m wth mt p th ptg you p w gy py o. 0% A Hth O tm. Cot. Cg o you. Wh
More informationPIN #1 ID FIDUCIAL LOCATED IN THIS AREA TOP VIEW. ccc C SIDE VIEW
Packag iagrams ruary 20 all W Packag Option : i0 P imnsions in illimtrs ata ht r PI # I IUI OT I TI R (X) 2 OTTO VIW. X Ø s TOP VIW Ø.0 Ø.0 I VIW OT:. IIO TOR PR Y. 99. 2. IIO R I IITR. IIO I UR T T XIU
More informationSAN JOSE UNIFIED RETURNING VOLUNTEER DRIVER PACKET
SAN JOSE UNIFIED ETUNING VOLUNTEE DIVE PACKET VOLUNTEE DIVE S NAME: STUDENT NAME /ID# SCHOOL: SPOT/ACTIVITY: STUDENT NAME /ID# SCHOOL: SPOT/ACTIVITY: STUDENT NAME /ID# SCHOOL: SPOT/ACTIVITY: STUDENT NAME
More informationSchedule C. Notice in terms of Rule 5(10) of the Capital Gains Rules, 1993
(Rul 5(10)) Shul C Noti in trms o Rul 5(10) o th Cpitl Gins Ruls, 1993 Sttmnt to sumitt y trnsror o shrs whr thr is trnsr o ontrolling intrst Prt 1 - Dtils o Trnsror Nm Arss ROC No (ompnis only) Inom Tx
More informationtis, cis cunc - cunc - tis, cis tis, cis cunc - tis, func - def - def - tis, U func - def - func - tis, pa - tri pa - tri pa - tri tu - per - tu -
1 B Ihsu dulcs cuncts [Supr 1] [Supr 2] Tnr B B B B - B - B - Ih - Ih - Ih - su su su cs cs cs cunc - cunc - cunc - Amns, Bblthèqu Cntl L Agn, ms 162 D, ff 2v-10 ts, ts, ts, E-tr - E-tr - E-tr - n p n
More informationCC01[PE] 4mm² BLK. 16mm² [CC01] ASSEMBLY PLATE CB10PE. 16mm². 16mm²
ST WR R WR W R WR R WR R WR W R WR R WR R WR W R WR R 0 0 0 [0] 00V, 0z S R [0] SV.000 g V= 0 0 UT 0[] mm². mm² T T T T T T T T T T T T T T T T T T T T T SSY T [0] UT, VV TR 0 UT, TR VV X V V V V T, 0V
More informationChange Your History How Can Soccer Knowledge Improve Your Business Processes?
Symposium Inuurl Lctur o Hjo Rijrs, VU, 26-6-2015 Chn Your History How Cn Soccr Knowl Improv Your Businss Procsss? Wil vn r Alst TU/ n DSC/ 1970 born Oostrbk 1988-1992 CS TU/ 1992-1994 TS TU/ 1994-1996
More informationDistributed Systems Principles and Paradigms. Chapter 11: Distributed File Systems. Distributed File Systems. Example: NFS Architecture
Distriut Systms Prinipls n Prigms Mrtn vn Stn VU mstrm, Dpt. Computr Sin stn@s.vu.nl Chptr 11: Vrsion: Dmr 10, 2012 1 / 14 Gnrl gol Try to mk fil systm trnsprntly vill to rmot lints. 1. Fil mov to lint
More informationMenu Structure. Section 5. Introduction. General Functions Menu
Menu Structure Section 5 Introduction General Functions Menu Most workstation functions are accessed by menu selections. This section explains the menu structure and provides a tree structured view of
More informationDATA MANAGEMENT POLICY
Dt Mnmnt Poly Vrson 04.0, UPR IM12 Etv: 2 Mr 2011. R-ssu: 1 Sptmr 2012 DATA MANAGEMENT POLICY SUMMARY OF PRINCIPAL CHANGES Gnrl ns Doumnt upt wt t rom 1 Sptmr 2012 to norport t Unvrsty s rvs ntrnl mnmnt
More informationA122 MARION COUNTY HEALTH BUILDING HVAC, GLAZING AND LIGHTING RENOVATION 75% DOCUMENTS 08/31/2015
7 ' 7 /" ' " ' /" ' 9 /" ' 0" ' 0" ' 0" ' 0" ' " ' /" 0 NRL SHT NOTS IL VRIY XISTIN PRIOR TO WORK N NOTIY RHITT/NINR O ISRPNIS TWN RWINS N XISTIN ONITIONS. 0 0 0 PTH LOTIONS N IR PROOIN WHR XISTIN WLLS
More informationC o a t i a n P u b l i c D e b tm a n a g e m e n t a n d C h a l l e n g e s o f M a k e t D e v e l o p m e n t Z a g e bo 8 t h A p i l 2 0 1 1 h t t pdd w w wp i j fp h D p u b l i c2 d e b td S t
More informationMPLS FOR MISSION-CRITICAL MICROWAVE NETWORKS BUILDING A HIGHLY RESILIENT MICROWAVE NETWORK WITH MULTI-RING TOPOLOGY
MPLS FOR MISSION-CRITICAL MICROWAVE NETWORKS BUILDING A HIGHLY RESILIENT MICROWAVE NETWORK WITH MULTI-RING TOPOLOGY TECHNICAL WHITE PAPER H rslny n srv vllty r ky sn onsrtons wn uln msson-rtl mrowv ntworks.
More informationI n la n d N a v ig a t io n a co n t r ib u t io n t o eco n o m y su st a i n a b i l i t y
I n la n d N a v ig a t io n a co n t r ib u t io n t o eco n o m y su st a i n a b i l i t y and KB rl iak s iol mi a, hme t a ro cp hm a5 a 2k p0r0o 9f i,e ls hv oa nr t ds eu rmv oedye l o nf dae cr
More informationHermes: Dynamic Partitioning for Distributed Social Network Graph Databases
Hrms: Dynm Prttonn or Dstrut Sol Ntwork Grph Dtss Dnl Nor Unvrsty o Wtrloo nl.nor@ml.om Shhn Kml Unvrsty o Wtrloo s3kml@uwtrloo. Khuzm Duj Unvrsty o Wtrloo kuj@uwtrloo. L Chn HKUST lhn@s.ust.hk ABSTRACT
More informationDATA MANAGEMENT POLICY. SUMMARY OF PRINCIPAL CHANGES General changes None for amendments in this revision, refer to Appendix II, UPR IM16.
Dt Mnmnt Poly Vrson 03.0, UPR IM16 (prvously UPR IM12) Etv: 2 Mr 2011. R-ssu: 1 Sptmr 2015 DATA MANAGEMENT POLICY SUMMARY OF PRINCIPAL CHANGES Gnrl ns Non or mnmnts n ts rvson, rr to Appnx II, UPR IM16.
More informationSCO TT G LEA SO N D EM O Z G EB R E-
SCO TT G LEA SO N D EM O Z G EB R E- EG Z IA B H ER e d it o r s N ) LICA TIO N S A N D M ETH O D S t DVD N CLUDED C o n t e n Ls Pr e fa c e x v G l o b a l N a v i g a t i o n Sa t e llit e S y s t e
More informationThe Mathematics of Sudoku
T Mtmts o Suoku Tom Dvs tomrvs@rtlnk.nt ttp://www.omtr.or/mtrls (Prlmnry) Sptmr, 0 Introuton Suoku s puzzl prsnt on squr r tt s usully, ut s somtms or otr szs. In ts oumnt, w wll onsr only t s, ltou lmost
More informationBLADE 12th Generation. Rafał Olszewski. Łukasz Matras
BLADE 12th Generation Rafał Olszewski Łukasz Matras Jugowice, 15-11-2012 Gl o b a l M a r k e t i n g Dell PowerEdge M-Series Blade Server Portfolio M-Series Blades couple powerful computing capabilities
More informationB a rn e y W a r f. U r b a n S tu d ie s, V o l. 3 2, N o. 2, 1 9 9 5 3 6 1 ±3 7 8
U r b a n S tu d ie s, V o l. 3 2, N o. 2, 1 9 9 5 3 6 1 ±3 7 8 T e le c o m m u n ic a t io n s a n d th e C h a n g in g G e o g r a p h ie s o f K n o w le d g e T r a n s m is s io n in th e L a te
More informationi n g S e c u r it y 3 1B# ; u r w e b a p p li c a tio n s f r o m ha c ke r s w ith t his å ] í d : L : g u id e Scanned by CamScanner
í d : r ' " B o m m 1 E x p e r i e n c e L : i i n g S e c u r it y. 1-1B# ; u r w e b a p p li c a tio n s f r o m ha c ke r s w ith t his g u id e å ] - ew i c h P e t e r M u la e n PACKT ' TAÞ$Æo
More informationRecall from Last Time: Disjoint Set ADT
Ltur 21: Unon n Fn twn Up-Trs Toy s An: Plntn n rown orst o Up-Trs Unon-n n Fn-n Extn xmpl Implmntn Unon/Fn Smrt Unon n Fn Unon-y-sz/t n Pt Comprsson Run Tm Anlyss s tou s t ts! Covr n Cptr 8 o t txtook
More informationM P L S /V P N S e c u rity. 2 0 0 1, C is c o S y s te m s, In c. A ll rig h ts re s e rv e d.
M P L S /V P N S e c u rity M ic h a e l B e h rin g e r < m b e h rin g @ c is c o.c o m > M b e h rin g - M P L S S e c u rity 2 0 0 1, C is c o S y s te m s, In c. A ll rig h ts re s e rv e d. 1 W h
More informationWith Rejoicing Hearts/ Con Amor Jovial. A Fm7 B sus 4 B Cm Cm7/B
for uli With Rejoic Herts/ on mor ol dition # 10745-Z1 ime ortez Keyord ccompniment y effy Honoré INTRO With energy ( = c 88) Keyord * m7 B sus 4 B 7/B mj 9 /B SMPL B 7 *Without percussion, egin he 1995,
More informationd e f i n i c j i p o s t a w y, z w i z a n e j e s t t o m. i n. z t y m, i p o jі c i e t o
P o s t a w y s p o і e c z e t s t w a w o b e c o s у b n i e p e і n o s p r a w n y c h z e s z c z e g у l n y m u w z g lb d n i e n i e m o s у b z z e s p o і e m D o w n a T h e a t t i t uodf
More informationBack left Back right Front left Front right. Blue Shield of California. Subscriber JOHN DOE. a b c d
Smpl ID r n sription o trms Bk lt Bk right Front lt Front right Provirs: Pls il ll lims with your lol BluCross BluShil lins in whos srvi r th mmr riv srvis or, whn Mir is primry, il ll Mir lims with Mir.
More informationEM EA. D is trib u te d D e n ia l O f S e rv ic e
EM EA S e c u rity D e p lo y m e n t F o ru m D e n ia l o f S e rv ic e U p d a te P e te r P ro v a rt C o n s u ltin g S E p p ro v a rt@ c is c o.c o m 1 A g e n d a T h re a t U p d a te IO S Es
More informationUnit 16 : Software Development Standards O b jec t ive T o p r o v id e a gu ide on ho w t o ac h iev e so f t wa r e p r o cess improvement through the use of software and systems engineering standards.
More informationw ith In fla m m a to r y B o w e l D ise a se. G a s tro in te s tin a l C lin ic, 2-8 -2, K a s h iw a z a, A g e o C ity, S a ita m a 3 6 2 -
E ffic a c y o f S e le c tiv e M y e lo id L in e a g e L e u c o c y te D e p le tio n in P y o d e r m a G a n g re n o su m a n d P so r ia sis A sso c ia te d w ith In fla m m a to r y B o w e l D
More information1. Oblast rozvoj spolků a SU UK 1.1. Zvyšování kvalifikace Školení Zapojení do projektů Poradenství 1.2. Financování 1.2.1.
1. O b l a s t r o z v o j s p o l k a S U U K 1. 1. Z v y š o v á n í k v a l i f i k a c e Š k o l e n í o S t u d e n t s k á u n i e U n i v e r z i t y K a r l o v y ( d á l e j e n S U U K ) z í
More informationW h a t is m e tro e th e rn e t
110 tv c h a n n e ls to 10 0 0 0 0 u s e rs U lf V in n e ra s C is c o S y s te m s 2 0 0 2, C is c o S y s te m s, In c. A ll rig h ts re s e rv e d. 1 W h a t is m e tro e th e rn e t O b je c tiv
More informationMasters Mens Physique 45+
C G x By, F, hysq, Bk Chpshps Ap, Cv Cy, Cf Mss Ms hysq + Fs Ls Css Ov Css s G MC Chpk M+ W M+/MC y Bs 9 8 9 9 8 B O'H 8 9 8 S Rs 8 8 9 h K 9 D Szwsk 8 9 8 9 9 G M+ h D Ly Iz M+ 8 M R : : C G x By, F,
More informationOutline. Binary Tree
Outlin Similrity Srh Th Nikolus Augstn Fr Univrsity of Bozn-Bolzno Fulty of Computr Sin DIS 1 Binry Rprsnttion of Tr Binry Brnhs Lowr Boun for th Eit Distn Unit 10 My 17, 2012 Nikolus Augstn (DIS) Similrity
More informationUsing Predictive Modeling to Reduce Claims Losses in Auto Physical Damage
Using Predictive Modeling to Reduce Claims Losses in Auto Physical Damage CAS Loss Reserve Seminar 23 Session 3 Private Passenger Automobile Insurance Frank Cacchione Carlos Ariza September 8, 23 Today
More informationJCUT-3030/6090/1212/1218/1325/1530
JCUT CNC ROUTER/CNC WOODWORKING MACHINE JCUT-3030/6090/1212/1218/1325/1530 RZNC-0501 Users Guide Chapter I Characteristic 1. Totally independent from PC platform; 2. Directly read files from U Disk; 3.
More informationA n d r e w S P o m e r a n tz, M D
T e le h e a lth in V A : B r in g in g h e a lth c a r e to th e u n d e r s e r v e d in c lin ic a n d h o m e A n d r e w S P o m e r a n tz, M D N a tio n a l M e n ta l H e a lth D ir e c to r f
More informationSEE PAGE 2 FOR BRUSH MOTOR WIRING SEE PAGE 3 FOR MANUFACTURER SPECIFIC BLDC MOTOR WIRING EXAMPLES A
0V TO 0V SUPPLY +0V TO +0V RS85 ONVRTR 9 TO OM PORT ON P TO P OM PORT US 9600 U 8IT, NO PRITY, STOP, NO FLOW TRL. OPTO SNSOR # +0V TO +0V RS85 RS85 OPTO SNSOR # PHOTO TRNSISTOR OPTO SNSOR # L TO OTHR Z
More information/* ------------------------------------------------------------------------------------
Pr o g r a m v a r e fo r tr a fik k b e r e g n in g e r b a s e r t p å b a s is k u r v e m e to d e n n M a tr ix * x M a tr ix E s ta lp h a B e ta ; n M a tr ix * z M a tr ix ; g e n M a tr ix X
More information- ASSEMBLY AND INSTALLATION -
- SSEMLY ND INSTLLTION - Sliin Door Stm Mot Importnt! Ti rmwork n ml to uit 100 mm ini wll tikn (75 mm tuwork) or 125 mm ini wll tikn (100 mm tuwork) HOWEVER t uppli jm kit i pii to itr 100 mm or 125 mm
More informationA simple algorithm to generate the minimal separators and the maximal cliques of a chordal graph
A smpl lgortm to gnrt t mnml sprtors nd t mxml lqus o ordl grp Ann Brry 1 Romn Pogorlnk 1 Rsr Rport LMOS/RR-10-04 Fbrury 11, 20 1 LMOS UMR CNRS 6158, Ensmbl Sntqu ds Cézux, F-63 173 Aubèr, Frn, brry@sm.r
More informationData Center end users for 40G/100G and market dy nami c s for 40G/100G on S M F Adam Carter Ci s c o 1 W Now that 40GbE is part of the IEEE 802.3ba there will be a wid er array of applic ation s that will
More informationLTCG. Runways: Runway 11 Takeoff length: 2640, Landing length: 2640 Runway 29 Takeoff length: 2640, Landing length: 2640
LTG irport information: ountry: Turkey ity: INTL oordinates: N 0 59.8', E039 7. Elevation: ustoms: ustoms Fuel: Jet RFF: T 8 hours: H2 Runways: Runway Takeoff length: 260, Landing length: 260 Runway 29
More informationCREATE SHAPE VISUALIZE
SHAPE VISUALIZE B I M E q u i t y BIM Workflow Guide SHAPE VISUALIZE Introduction We o e to t e r t ook i t e BIM Workflow erie I t e o owi ter we wi o er e eryt i eeded or you to ter t e i o re ti i d
More informationResort, Bermud Get from information on important new serv. #BDACaptive15
c F & k R l Glb Excllc & r S r O b Ex c v rf c r ry Lr cm 21 c m Y r R A r M SUM rc mmrcl CONFERENCE Brm C r y l jr Hr frm m Rrc Mrk Irc mc r c x G m yr cv S r m r F y rlry m k l c Rr, Brm G frm frm mr
More informationOperation Transform Formulae for the Generalized. Half Canonical Sine Transform
Appl Mhmcl Scnc Vol 7 3 no 33-4 HIKARI L wwwm-hrcom Opron rnorm ormul or h nrl Hl Cnoncl Sn rnorm A S uh # n A V Joh * # ov Vrh Inu o Scnc n Humn Amrv M S In * Shnrll Khnlwl Coll Aol - 444 M S In luh@mlcom
More informationSEPTEMBER Unit 1 Page Learning Goals 1 Short a 2 b 3-5 blends 6-7 c as in cat 8-11 t 12-13 p
The McRuffy Kindergarten Reading/Phonics year- long program is divided into 4 units and 180 pages of reading/phonics instruction. Pages and learning goals covered are noted below: SEPTEMBER Unit 1 1 Short
More information11 + Non-verbal Reasoning
Prti Tst + Non-vrl Rsoning R th instrutions rfully. Do not gin th tst or opn th ooklt until tol to o so. Work s quikly n s rfully s you n. Cirl th orrt lttr from th options givn to nswr h qustion. You
More informationAN EVALUATION OF SHORT TERM TREATMENT PROGRAM FOR PERSONS DRIVING UNDER THE INFLUENCE OF ALCOHOL 1978-1981. P. A. V a le s, Ph.D.
AN EVALUATION OF SHORT TERM TREATMENT PROGRAM FOR PERSONS DRIVING UNDER THE INFLUENCE OF ALCOHOL 1978-1981 P. A. V a le s, Ph.D. SYNOPSIS Two in d ep en d en t tre a tm e n t g ro u p s, p a r t ic ip
More informationSCHOOL PESTICIDE SAFETY AN D IN TEG R ATED PEST M AN AG EM EN T Statutes put into law by the Louisiana Department of Agriculture & Forestry to ensure the safety and well-being of children and school personnel
More informationPRESS RELEASE Sw y x e m b r a c e s En t e r p r i s e m a r k e t w i t h l a u n c h o f n e w I P t e l e p h o n y p o r t f o l i o t h r o u g h a s i n g l e c o m m o n p l a t f o r m - New offerings
More informationfun www.sausalitos.de
O ily i f www.lit. Ctt. Cy... 4 5 Rtt... 6 7 B... 8 11 Tt... 12 13 Pt... 14 15. 2 Ctt. Cy. Rtt. B. Tt. Pt Ctt. Cy. Rtt. B. Tt. Pt. 3 Ti t f vyy lif, ity viti. AUALITO i l t t fi, t ty, t t, jy ktil jt
More informationApplication Note: Cisco A S A - Ce r t if ica t e T o S S L V P N Con n e ct ion P r of il e Overview: T h i s a p p l i ca ti o n n o te e x p l a i n s h o w to co n f i g u r e th e A S A to a cco m
More informationSKILL TEST IR(H) HELICOPTER SE ME Application and report form A. Udfyldes af ansøgeren/to be filled out by the applicant:
SKILL TEST IR(H) HELICOPTER SE ME Applition n rport orm A. Uyls nsørn/to ill out y th pplint: CPR-nr./Dt o Birth: Crtiikt nr./lin no.: (I ny) Ustn Stt/Stt o Lin Issu: Fornvn/First nm(s): Etrnvn/Lst nm:
More informationB rn m e d s rlig e b e h o v... 3 k o n o m i... 6. S s k e n d e tils k u d o g k o n o m is k frip la d s... 7 F o r ld re b e ta lin g...
V e lf rd s s e k re ta ria te t S a g s n r. 1 4 3 4 1 5 B re v id. 9 9 3 9 7 4 R e f. S O T H D ir. tlf. 4 6 3 1 4 0 0 9 s o fie t@ ro s k ild e.d k G o d k e n d e ls e s k rite rie r fo r p riv a tin
More informationB I N G O B I N G O. Hf Cd Na Nb Lr. I Fl Fr Mo Si. Ho Bi Ce Eu Ac. Md Co P Pa Tc. Uut Rh K N. Sb At Md H. Bh Cm H Bi Es. Mo Uus Lu P F.
Hf Cd Na Nb Lr Ho Bi Ce u Ac I Fl Fr Mo i Md Co P Pa Tc Uut Rh K N Dy Cl N Am b At Md H Y Bh Cm H Bi s Mo Uus Lu P F Cu Ar Ag Mg K Thomas Jefferson National Accelerator Facility - Office of cience ducation
More informationErfa rin g fra b y g g in g a v
Erfa rin g fra b y g g in g a v m u ltim e d ia s y s te m e r Eirik M a u s e irik.m a u s @ n r.n o N R o g Im e d ia N o rs k R e g n e s e n tra l fo rs k n in g s in s titu tt in n e n a n v e n d
More informationFinite Dimensional Vector Spaces.
Lctur 5. Ft Dmsoal Vctor Spacs. To b rad to th musc of th group Spac by D.Maruay DEFINITION OF A LINEAR SPACE Dfto: a vctor spac s a st R togthr wth a oprato calld vctor addto ad aothr oprato calld scalar
More informationCompactPCI Connectors acc. to PIGMG 2.0 Rev. 3.0
Ctlog E 074486 08/00 Eition ComptPCI Conntors. to PIGMG.0 Rv. 3.0 Gnrl Lt in 999 PCI Inustril Computr Mnufturrs Group (PICMG) introu th nw rvision 3.0 of th ComptPCI Cor Spifition. Vrsion 3.0 of this spifition
More informationI n s t r u k c j a o b s ł u g i p r o g r a m u Program Finansowo-K się gowy w e r s j a 1. 1 p o d W i n d o w s. W y d a w n i c t w o " G I D E X " S Z C Z E C I N - m a j - 2 0 0 2 W y ł ą c z n
More informationLicensed to TAP - AIR PORTUGAL,. Printed from JeppView disc 16-03.
Licensed to TP - IR PORTUGL,. Printed from JeppView disc 16-03. TRNS LEVEL: Y T TRNS LT: 31 MR 00.SI. 10-3, RZIL OT, LOL, SELO EPRTURES This SI requires take-off minimums of: eiling 500', Visibility 1600m
More informationFirst A S E M R e c to rs C o n f e re n c e : A sia E u ro p e H ig h e r E d u c a tio n L e a d e rsh ip D ia l o g u e Fre ie U n iv e rsitä t, B e rl in O c to b e r 2 7-2 9 2 0 0 8 G p A G e e a
More informationAlgorithmic Aspects of Access Networks Design in B3G/4G Cellular Networks
Algorithmi Aspts o Ass Ntworks Dsign in BG/G Cllulr Ntworks Dvi Amzllg, Josph (Si) Nor,DnnyRz Computr Sin Dprtmnt Thnion, Hi 000, Isrl {mzllg,nny}@s.thnion..il Mirosot Rsrh On Mirosot Wy, Rmon, WA 980
More informationCollaboration in Public H e alth be tw e e n U niv e rs ity of H e id e lbe rg and U niv e rs ity of D ar e s S alaam How t h e c oop e r a t i on e m e r g e d Informal c ont ac t s from e arly 1 9
More informationOPTIMAl PREMIUM CONTROl IN A NON-liFE INSURANCE BUSINESS
ONDERZOEKSRAPPORT NR 8904 OPTIMAl PREMIUM CONTROl IN A NON-liFE INSURANCE BUSINESS BY M. VANDEBROEK & J. DHAENE D/1989/2376/5 1 IN A OPTIMAl PREMIUM CONTROl NON-liFE INSURANCE BUSINESS By Martina Vandebroek
More informationDYNAMIC PROGRAMMING APPROACH TO TESTING RESOURCE ALLOCATION PROBLEM FOR MODULAR SOFTWARE
DYAMIC PROGRAMMIG APPROACH TO TESTIG RESOURCE ALLOCATIO PROBLEM FOR MODULAR SOFTWARE P.K. Kpur P.C. Jh A.K. Brdh Astrct Tstg phs of softwr gs wth modul tstg. Durg ths prod moduls r tstd dpdtly to rmov
More informationACE-1/onearm #show service-policy client-vips
M A C E E x a m Basic Load Balancing Using O ne A r m M ode w it h S ou r ce N A T on t h e C isco A p p licat ion C ont r ol E ngine Goal Configure b a s ic l oa d b a l a nc ing (L a y er 3 ) w h ere
More informationAn E mpir ical Analysis of Stock and B ond M ar ket Liquidity
A p r il 2 2, 2 0 0 2 An E mpir ical Analysis of Stock and B ond M ar ket Liquidity Ta r u n Ch o r d ia, A s a n i S a r ka r, a n d A va n id h a r S u b r a h m a n ya m Go iz u e t a B u s in e s s
More informationC e r t ifie d Se c u r e W e b
C r t ifi d S c u r W b Z r t ifizi r t Sic h r h it im W b 1 D l gat s N ic o las M ay n c o u r t, C EO, D r am lab T c h n o lo gi s A G M ar c -A n d r é B c k, C o n su lt an t, D r am lab T c h n
More informationm Future of learning Zehn J a hr e N et A c a d ei n E r f o l g s p r o g r a m Cisco E x p o 2 0 0 7 2 6. J u n i 2 0 0 7, M e sse W ie n C. D or n in g e r, b m u k k 1/ 12 P r e n t t z d e r p u t
More informationTRIUMPH TR2 - TR4A WIRING DIAGRAMS
TOI www.autowire.com TIMH T2 T4 II IMS dmp LICTIO 2005 www.autowire.com dmp LICTIO 200 5 TOI TO IITIO I OTIOL OVIV 1 TO COTOL OX O O SH L ISTIT IITIO TO 2 O S OX HT HOSTT HT MOTO (OTIOL) OM S OX 3 (O STT
More informationUNDERSTANDING FLOW PROCESSING WITHIN THE CISCO ACE M ODULE Application de liv e r y pr odu cts can distr ib u te tr af f ic to applications and w e b se r v ice s u sing v ar y ing le v e ls of application
More informationExponential Generating Functions
Epotl Grtg Fuctos COS 3 Dscrt Mthmtcs Epotl Grtg Fuctos (,,, ) : squc of rl umbrs Epotl Grtg fucto of ths squc s th powr srs ( )! 3 Ordry Grtg Fuctos (,,, ) : squc of rl umbrs Ordry Grtg Fucto of ths squc
More informationplaque reduction assay, modified dye uptake assay including formazan test, dye uptake assay
Sauerbrei A, Bohn-Wippert K, Kaspar M, Krumbholz A, Karrasch M, Zell R. 2015. Database on natural polymorphisms and resistance-related non-synonymous mutations in thymidine kinase and DNA polymerase genes
More informationSPRINGWELLS AND NORTHEAST WATER TREATMENT PLANTS SLUDGE REMOVAL AND DISPOSAL SERVICES
ITY O TROIT SPRINGWLLS N NORTHST WTR TRTMNT PLNTS ONTRT NO. WS-898 ook 2 of 2 MIK UGGN, MYOR TROIT ITY OUNSIL OR O WTR OMMISSIONRS ORHR LK RO MILLT RO NORTHWSTRN HWY. SHIWSS NWURGH R. 696 TLGRPH RO 24
More informationG S e r v i c i o C i s c o S m a r t C a r e u ي a d e l L a b o r a t o r i o d e D e m o s t r a c i n R ل p i d a V e r s i n d e l S e r v i c i o C i s c o S m a r t C a r e : 1 4 ع l t i m a A c
More informationBERGEN COMMUNITY COLLEGE DIVISION OF BUSINESS, PERFORMING ARTS AND SOCIAL SCIENCES BUSINESS DEPARTMENT
BERGEN COMMUNITY COLLEGE DIVISION OF BUSINESS, PERFORMING ARTS AND SOCIAL SCIENCES BUSINESS DEPARTMENT BUS 207 Pcpl f Mg S, Y Syllbu Dl Cu Nub/Sc: Mg Dy & T: Iuc: Offc Lc: Ph: R Nub: Offc Hu: E-l : C u
More informationAlgebra 1 Semester 1. 1.11.2 Project: Performance Task: A Trade Show Booth
Algebra 1 Semester 1 Tips on how to successfully complete: 1.11.2 Project: Performance Task: A Trade Show Booth See next page for tips on the assignment itself. Hetpfut fhntsl http://acecontent.apexlearning.com/live/online/algebra_i_cc_sem_1...
More informationJesus Performed Miracles
F Jonl P Ju Pr Mircl ch f lo Al n fri r b f Li blo n of ick li on Po k r u yi li br o n o y o on y r v y o r b f ch rfriror n -ll cr r p r o y k li Tor n of o ll y r u o kn on r ch n L ch p Ju Hl Officil
More information55 th EOQ Congress as World Quality Congress
55 h EOQ grss s Wr Qu grss HOTEL RESERVTION ND DESRITION OF HOTELS LOTION OF 55 h EOQ OFFIIL HOTELS 1 Kpsk H rvus***** (ONGRESS VENUE ND HOTEL) H-1051 Bups, Erzséb ér 7-8. 2 Dubus H Gér**** H-1111 Bups,
More informationPhonics Scope and Sequence Struggling or At Risk Readers. Phonological Awareness and Letter Naming : Early Literacy Kindergarten or first grade 1
Phonics Scope and Sequence Struggling or At Risk Readers Phonological Awareness and Letter Naming : Early Literacy Kindergarten or first grade 1 Phonological Awareness 1. Hearing Rhymes 2. Producing rhymes
More informationSticky News. sticky rice cooking school newsletter
S R C S V A T 3 HS SA 2009 S Nw w #05 m 2010 j v T L & S O I M T Ow C F... S C Nw C C A Smb 2010 M C S R C S BEST FOOD EXPERIENCE 2009 N F C w S R C S w w b Aw T 6 B F Ex A. A N F A Tv Tm Aw, w b M Ex
More informationFrederikshavn kommunale skolevæsen
Frederikshavn kommunale skolevæsen Skoleåret 1969-70 V e d K: Hillers-Andersen k. s k o l e d i r e k t ø r o g Aage Christensen f u l d m æ g t i g ( Fr e d e rik sh av n E k sp r e s- T ry k k e rie
More informationNeighborhood Evaluation in Acquiring Stock Trading Strategy Using Genetic Algorithms
Il Jul Cpu I S Iul M Appl. ISSN 215-7988 Vlu 4 (212) pp. 366 373 MIR Lb, www.lb./j/x.hl Nhbh Elu Aqu Sk S U G Alh Kzuh Mu Hu S p Cpu S, Cll E, Nh U, 1 Nkw, ku, u-h, K, 963-8642, Jp u@..h-u..jp Ab: W pp
More informationA Quick Guide to Colleges. Offering Engineering Degrees
Qk gs ffg gg Dgs Fby 2007 www.dgs.g Qk gs ffg gg Dgs Ts qk f g ps sy sg (by s) f U.S. gs ss ffg b s (4-y) gs gg 363 ss, spg 50 ss ps Ds f b R. Ts sy s s gg g pgs by f gg Tgy (T, gz f g sy pgs pp s, pg,
More information