Perimeter-degree: A Priori Metric for Directly Measuring and Homogenizing Interconnection Complexity in Multilevel Placement
|
|
- Dorcas Haynes
- 8 years ago
- Views:
Transcription
1 Perimeter-degree: A Priori Metric for Directly Measuring and Homogenizing Interconnection Complexity in Multilevel Placement Navaratnasothie Selvakkumaran (Selva) selva@cs.umn.edu 1
2 Authors Navaratnasothie. Selvakkumaran University of Minnesota Phiroze N.Parakh Monterey Design Systems Inc George Karypis University of Minnesota 2
3 Overview Background Placement is becoming harder Congestion Objective Motivation Experimental results Conclusions 3
4 Placement is becoming harder Support for physical synthesis Fast and accurate prototyping Focus on timing Presence of macro cells Ever increasing problem size Congestion elimination 4
5 Congestion Why Congestion? Measuring congestion. Existing techniques 5
6 Why Congestion? Demand exceeds supply Non homogeneous supply Location of bin Macro cells Lets assume uniform supply for the rest of the discussion Non homogeneous demand. 6
7 Measuring Congestion Half-perimeter wirelength Router based congestion estimation Stochastic congestion estimation 7
8 Measuring Congestion Half-perimeter Wirelength Good metric more wires => more congestion But insufficient regional variations? Bounding box of high fan-out net Vs low fan-out net? We need additional metrics Pin density? Bin degree? (no of external nets of a bin) 8
9 Measuring Congestion Router based estimates Accurate But computationally very expensive Stochastic estimates Relatively accurate Still expensive for fast prototyping 9
10 Existing Congestion Reduction Techniques Posteriori / online methods Established methods But too many constraints as the placement problem becomes harder Is priori feasible? Required for fast prototyping 10
11 Overview - recap Background Placement is becoming harder Congestion Objective Motivation Experimental results Conclusions 11
12 Objective To come up with priori techniques to aid half-perimeter wirelength objective to produce placements with lower regional variations. Use single objective of half-perimeter wirelength Quality is measured in terms of congested edges after global placement 12
13 Overview - recap Background Placement is becoming harder Congestion Objective Motivation Experimental results Conclusions 13
14 Motivation Known metrics for congestion control Pin density Bin degree Can we do better? 14
15 Motivation : known metrics Pin density dilute high pin density portions of netlist But equal pin density with varying demand possible Following clusters show equal pin density but different degree (demand) 15
16 Motivation : known metrics Bin Degree Impact of bin degree on regional wirelength Number of interconnects Gradient = 2* local Rent s exponent - 3 Interconnect length Doubling bin degree results in more than twice as much wirelength associated with that bin 16
17 Motivation : known metrics Degree of a cluster Good metric but captures only demand Following clusters have equal degree but differ in routing supply A B 17
18 Motivation : a better metric Degree is a demand at the perimeter of a cluster Supply is proportional to perimeter Thus we define a new metric perimeterdegree Perimeter-degree = degree / perimeter 18
19 Overview - recap Background Placement is becoming harder Congestion Objective Motivation Experimental results Conclusions 19
20 Experimental Results Allocate whitespace to clusters with high perimeter-degree Cell level (pin density is equally effective) Cluster level Combined method Direct use of perimeter-degree as capacity constraint 20
21 Whitespace based schemes Percentage reduction in mild and severe congested edges mild severe cell inflation cluster inflation combined method 21
22 Direct use of Perimeter-degree Set area of clusters in proportion of perimeterdegree of clusters so that total area does not change. Since actual area is not used. Bin capacity violations may occur. More legalization iterations Results Half-perimeter wirelength increased by 0.1% Mild congested edges reduced by 11% Severe congested edges reduced by 26% 22
23 Conclusion We have shown that congestion can be reduced substantially with negligible change in half-perimeter wirelength. Same amount of interconnects but substantially lower congestion => homogeneous routing demand Negligible computations required 23
24 Questions 24
FF-Bond: Multi-bit Flip-flop Bonding at Placement CHANG-CHENG TSAI YIYU SHI GUOJIE LUO IRIS HUI-RU JIANG. IRIS Lab NCTU MST PKU
FF-Bond: Multi-bit Flip-flop Bonding at Placement CHANG-CHENG TSAI YIYU SHI GUOJIE LUO IRIS HUI-RU JIANG IRIS Lab NCTU MST PKU ISPD-13 Outline 2 Introduction Preliminaries Problem formulation Algorithm
More informationUniversity of Texas at Dallas. Department of Electrical Engineering. EEDG 6306 - Application Specific Integrated Circuit Design
University of Texas at Dallas Department of Electrical Engineering EEDG 6306 - Application Specific Integrated Circuit Design Synopsys Tools Tutorial By Zhaori Bi Minghua Li Fall 2014 Table of Contents
More informationEfficient Tree Topology for FPGA Interconnect Network
Efficient Tree Topology for FPGA Interconnect Network Zied Marrakchi, Hayder Mrabet, Emna Amouri and Habib Mehrez LIP6, Université Pierre et Marie Curie 4, Place Jussieu, 75005 Paris, France zied.marrakchi@lip6.fr
More informationIL2225 Physical Design
IL2225 Physical Design Nasim Farahini farahini@kth.se Outline Physical Implementation Styles ASIC physical design Flow Floor and Power planning Placement Clock Tree Synthesis Routing Timing Analysis Verification
More informationDesign Compiler Graphical Create a Better Starting Point for Faster Physical Implementation
Datasheet Create a Better Starting Point for Faster Physical Implementation Overview Continuing the trend of delivering innovative synthesis technology, Design Compiler Graphical delivers superior quality
More informationIntrusion Detection: Game Theory, Stochastic Processes and Data Mining
Intrusion Detection: Game Theory, Stochastic Processes and Data Mining Joseph Spring 7COM1028 Secure Systems Programming 1 Discussion Points Introduction Firewalls Intrusion Detection Schemes Models Stochastic
More informationOptimal Technology Mapping and Cell Merger for Asynchronous Threshold Networks
Optimal Technology Mapping and Cell Merger for Asynchronous Threshold Networks Cheoljoo Jeong Steven M. Nowick Department of Computer Science Columbia University Outline Introduction Background Technology
More informationlarge-scale machine learning revisited Léon Bottou Microsoft Research (NYC)
large-scale machine learning revisited Léon Bottou Microsoft Research (NYC) 1 three frequent ideas in machine learning. independent and identically distributed data This experimental paradigm has driven
More informationComparing Alternate Designs For A Multi-Domain Cluster Sample
Comparing Alternate Designs For A Multi-Domain Cluster Sample Pedro J. Saavedra, Mareena McKinley Wright and Joseph P. Riley Mareena McKinley Wright, ORC Macro, 11785 Beltsville Dr., Calverton, MD 20705
More informationARM Cortex-A9 MPCore Multicore Processor Hierarchical Implementation with IC Compiler
ARM Cortex-A9 MPCore Multicore Processor Hierarchical Implementation with IC Compiler DAC 2008 Philip Watson Philip Watson Implementation Environment Program Manager ARM Ltd Background - Who Are We? Processor
More informationLab 3 Layout Using Virtuoso Layout XL (VXL)
Lab 3 Layout Using Virtuoso Layout XL (VXL) This Lab will go over: 1. Creating layout with Virtuoso layout XL (VXL). 2. Transistor Chaining. 3. Creating Standard cell. 4. Manual Routing 5. Providing Substrate
More informationMesh Partitioning and Load Balancing
and Load Balancing Contents: Introduction / Motivation Goals of Load Balancing Structures Tools Slide Flow Chart of a Parallel (Dynamic) Application Partitioning of the initial mesh Computation Iteration
More informationIntroduction to Quality of Service. Andrea Bianco Telecommunication Network Group firstname.lastname@polito.it http://www.telematica.polito.
Introduction to Quality of Service Andrea Bianco Telecommunication Network Group firstname.lastname@polito.it http://www.telematica.polito.it/ QoS Issues in Telecommunication Networks - 1 Quality of service
More informationData Center Load Balancing. 11.11.2015 Kristian Hartikainen
Data Center Load Balancing 11.11.2015 Kristian Hartikainen Load Balancing in Computing Efficient distribution of the workload across the available computing resources Distributing computation over multiple
More informationSolving the Vehicle Routing Problem with Multiple Trips by Adaptive Memory Programming
Solving the Vehicle Routing Problem with Multiple Trips by Adaptive Memory Programming Alfredo Olivera and Omar Viera Universidad de la República Montevideo, Uruguay ICIL 05, Montevideo, Uruguay, February
More informationBREAKING RENT S RULE: OPPORTUNITIES FOR 3D INTERCONNECT NETWORKS
BREAKING RENT S RULE: OPPORTUNITIES FOR 3D INTERCONNECT NETWORKS W. Rhett Davis and Christopher Mineo North Carolina State University, ECE Department, Box 79, Raleigh, NC 7695, U.S.A. ABSTRACT Stochastic
More informationGraser User Conference Only
Miniaturization- Rigid-Flex Design with Allegro Jonathan Lee / Graser 31/Oct/2014 Rigid-Flex Design with Allegro Miniaturization Design Miniaturization through Rigid-Flex Rigid-Flex Design Flow Miniaturization
More informationSoftware Technologies for Reconfigurable Systems
Northwestern University, ept. of ECE, Technical Report, 996. Software Technologies for Reconfigurable Systems Scott Hauck epartment of ECE Northwestern University Evanston, IL 6008 USA hauck@ece.nwu.edu
More informationTIMING-DRIVEN PHYSICAL DESIGN FOR DIGITAL SYNCHRONOUS VLSI CIRCUITS USING RESONANT CLOCKING
TIMING-DRIVEN PHYSICAL DESIGN FOR DIGITAL SYNCHRONOUS VLSI CIRCUITS USING RESONANT CLOCKING BARIS TASKIN, JOHN WOOD, IVAN S. KOURTEV February 28, 2005 Research Objective Objective: Electronic design automation
More informationA 2-Slot Time-Division Multiplexing (TDM) Interconnect Network for Gigascale Integration (GSI)
A 2-Slot Time-Division Multiplexing (TDM) Interconnect Network for Gigascale Integration (GSI) Ajay Joshi Georgia Institute of Technology School of Electrical and Computer Engineering Atlanta, GA 3332-25
More informationHow To Design A Chip Layout
Spezielle Anwendungen des VLSI Entwurfs Applied VLSI design (IEF170) Course and contest Intermediate meeting 3 Prof. Dirk Timmermann, Claas Cornelius, Hagen Sämrow, Andreas Tockhorn, Philipp Gorski, Martin
More informationOn the Traffic Capacity of Cellular Data Networks. 1 Introduction. T. Bonald 1,2, A. Proutière 1,2
On the Traffic Capacity of Cellular Data Networks T. Bonald 1,2, A. Proutière 1,2 1 France Telecom Division R&D, 38-40 rue du Général Leclerc, 92794 Issy-les-Moulineaux, France {thomas.bonald, alexandre.proutiere}@francetelecom.com
More informationSoftware Metrics. Lord Kelvin, a physicist. George Miller, a psychologist
Software Metrics 1. Lord Kelvin, a physicist 2. George Miller, a psychologist Software Metrics Product vs. process Most metrics are indirect: No way to measure property directly or Final product does not
More informationModel Based E/E Architecture Development at Daimler
Model Based E/E Architecture Development at Daimler...and a Look at the Broader Picture Markus Hemprich Gabriel Schwefer E/E Architecture & Standardisation (RD/EEP) Vector Congress Stuttgart, 28.11.2012
More informationSCALABILITY AND AVAILABILITY
SCALABILITY AND AVAILABILITY Real Systems must be Scalable fast enough to handle the expected load and grow easily when the load grows Available available enough of the time Scalable Scale-up increase
More informationPlace & Route Tutorial #1
Place & Route Tutorial #1 In this tutorial you will use Cadence Encounter to place, route, and analyze the timing and wire-length of two simple designs. This tutorial assumes that you have worked through
More informationMonitoring of Internet traffic and applications
Monitoring of Internet traffic and applications Chadi BARAKAT INRIA Sophia Antipolis, France Planète research group ETH Zurich October 2009 Email: Chadi.Barakat@sophia.inria.fr WEB: http://www.inria.fr/planete/chadi
More informationRent s Rule and Parallel Programs: Characterizing Network Traffic Behavior
Rent s Rule and Parallel Programs: Characterizing Network Traffic Behavior Wim Heirman, Joni Dambre, Dirk Stroobandt, Jan Van Campenhout Ghent University, ELIS Sint-Pietersnieuwstraat 4 9 Gent, Belgium
More informationRoute Power 10 Connect Powerpin 10.1 Route Special Route 10.2 Net(s): VSS VDD
SOCE Lab (2/2): Clock Tree Synthesis and Routing Lab materials are available at ~cvsd/cur/soce/powerplan.tar.gz Please untar the file in the folder SOCE_Lab before lab 1 Open SOC Encounter 1.1 % source
More informationGraph Database Proof of Concept Report
Objectivity, Inc. Graph Database Proof of Concept Report Managing The Internet of Things Table of Contents Executive Summary 3 Background 3 Proof of Concept 4 Dataset 4 Process 4 Query Catalog 4 Environment
More informationDECENTRALIZED LOAD BALANCING IN HETEROGENEOUS SYSTEMS USING DIFFUSION APPROACH
DECENTRALIZED LOAD BALANCING IN HETEROGENEOUS SYSTEMS USING DIFFUSION APPROACH P.Neelakantan Department of Computer Science & Engineering, SVCET, Chittoor pneelakantan@rediffmail.com ABSTRACT The grid
More informationHigh-fidelity electromagnetic modeling of large multi-scale naval structures
High-fidelity electromagnetic modeling of large multi-scale naval structures F. Vipiana, M. A. Francavilla, S. Arianos, and G. Vecchi (LACE), and Politecnico di Torino 1 Outline ISMB and Antenna/EMC Lab
More informationDoppler Traffic Flow Sensor For Traveler Information Systems. October, 2007 1
Doppler Traffic Flow Sensor For Traveler Information Systems October, 2007 1 Traffic congestion costs $70B a year Road construction can t keep up with demand Congestion spreading to smaller cities Many
More informationRapid Software Development with OpenAccess. Dean Marvin Exec Director, Product Development
Rapid Software Development with OpenAccess Dean Marvin Exec Director, Product Development Presentation Overview Conditions for rapid OA development Discussion of development styles C++ object oriented
More informationCellular Computing on a Linux Cluster
Cellular Computing on a Linux Cluster Alexei Agueev, Bernd Däne, Wolfgang Fengler TU Ilmenau, Department of Computer Architecture Topics 1. Cellular Computing 2. The Experiment 3. Experimental Results
More informationIntroduction to LAN/WAN. Network Layer
Introduction to LAN/WAN Network Layer Topics Introduction (5-5.1) Routing (5.2) (The core) Internetworking (5.5) Congestion Control (5.3) Network Layer Design Isues Store-and-Forward Packet Switching Services
More informationHow To Provide Qos Based Routing In The Internet
CHAPTER 2 QoS ROUTING AND ITS ROLE IN QOS PARADIGM 22 QoS ROUTING AND ITS ROLE IN QOS PARADIGM 2.1 INTRODUCTION As the main emphasis of the present research work is on achieving QoS in routing, hence this
More informationInterconnection Networks. Interconnection Networks. Interconnection networks are used everywhere!
Interconnection Networks Interconnection Networks Interconnection networks are used everywhere! Supercomputers connecting the processors Routers connecting the ports can consider a router as a parallel
More informationTwo Papers on Internet Connectivity and Quality. Abstract
Two Papers on Internet Connectivity and Quality ROBERTO ROSON Dipartimento di Scienze Economiche, Università Ca Foscari di Venezia, Venice, Italy. Abstract I review two papers, addressing the issue of
More informationA 2-Slot Time-Division Multiplexing (TDM) Interconnect Network for Gigascale Integration (GSI)
A 2-Slot Time-Division Multiplexing (TDM) Interconnect Network for Gigascale Integration (GSI) Ajay Joshi and Jeff Davis AIMD Research Group Georgia Institute of Technology Sponsored by: NSF # 0092450
More informationQuality of Service Routing Network and Performance Evaluation*
Quality of Service Routing Network and Performance Evaluation* Shen Lin, Cui Yong, Xu Ming-wei, and Xu Ke Department of Computer Science, Tsinghua University, Beijing, P.R.China, 100084 {shenlin, cy, xmw,
More informationLoad Balancing Mechanisms in Data Center Networks
Load Balancing Mechanisms in Data Center Networks Santosh Mahapatra Xin Yuan Department of Computer Science, Florida State University, Tallahassee, FL 33 {mahapatr,xyuan}@cs.fsu.edu Abstract We consider
More informationNetworking Systems (10102)
Networking Systems (10102) Rationale Statement: The goal of this course is to help students understand and participate in the significant impact of computer networking in their lives. Virtually any career
More informationOptimizing Data Center Networks for Cloud Computing
PRAMAK 1 Optimizing Data Center Networks for Cloud Computing Data Center networks have evolved over time as the nature of computing changed. They evolved to handle the computing models based on main-frames,
More informationSimPL: An Effective Placement Algorithm
SimPL: An Effective Placement Algorithm Myung-Chul Kim, Dong-Jin Lee and Igor L. Markov University of Michigan, Department of EECS, 226 Hayward St., Ann Arbor, MI 4819-2121 {mckima, ejdjsy, imarkov}@eecs.umich.edu
More informationLoad balancing model for Cloud Data Center ABSTRACT:
Load balancing model for Cloud Data Center ABSTRACT: Cloud data center management is a key problem due to the numerous and heterogeneous strategies that can be applied, ranging from the VM placement to
More informationStorage Systems Autumn 2009. Chapter 6: Distributed Hash Tables and their Applications André Brinkmann
Storage Systems Autumn 2009 Chapter 6: Distributed Hash Tables and their Applications André Brinkmann Scaling RAID architectures Using traditional RAID architecture does not scale Adding news disk implies
More informationReformulating the monitor placement problem: Optimal Network-wide wide Sampling
Reformulating the monitor placement problem: Optimal Network-wide wide Sampling Gianluca Iannaccone Intel Research @ Cambridge Joint work with: G. Cantieni,, P. Thiran (EPFL) C. Barakat (INRIA), C. Diot
More informationAN OVERVIEW OF QUALITY OF SERVICE COMPUTER NETWORK
Abstract AN OVERVIEW OF QUALITY OF SERVICE COMPUTER NETWORK Mrs. Amandeep Kaur, Assistant Professor, Department of Computer Application, Apeejay Institute of Management, Ramamandi, Jalandhar-144001, Punjab,
More informationIaaS Multi Tier Applications - Problem Statement & Review
Outline PHD Dissertation Proposal Defense Wes J. Lloyd Colorado State University, Fort Collins, Colorado USA Research Problem Challenges Approaches & Gaps Research Goals Research Questions & Experiments
More informationAutomated EMC Rule Checking for PCB Designs in the Real-World
Automated EMC Rule Checking for PCB Designs in the Real-World Bruce Archambeault, PhD IEEE Fellow Archambeault EMI/EMC Enterprises Missouri University of Science & Technology Adjunct Professor IBM Distinguished
More informationEfficient and Robust Allocation Algorithms in Clouds under Memory Constraints
Efficient and Robust Allocation Algorithms in Clouds under Memory Constraints Olivier Beaumont,, Paul Renaud-Goud Inria & University of Bordeaux Bordeaux, France 9th Scheduling for Large Scale Systems
More informationUnit 9: Software Economics
Unit 9: Software Economics Objectives Ð To provide an empirical view of where the effort and money goes when we build large software systems. Ð To suggest ways of reducing and controlling software costs.
More informationOn the effect of forwarding table size on SDN network utilization
IBM Haifa Research Lab On the effect of forwarding table size on SDN network utilization Rami Cohen IBM Haifa Research Lab Liane Lewin Eytan Yahoo Research, Haifa Seffi Naor CS Technion, Israel Danny Raz
More informationIntroduction Chapter 1. Uses of Computer Networks
Introduction Chapter 1 Uses of Computer Networks Network Hardware Network Software Reference Models Example Networks Network Standardization Metric Units Revised: August 2011 Uses of Computer Networks
More informationFLOORPLANNING CHALLENGES IN EARLY CHIP PLANNING
FLOORPLANNING CHALLENGES IN EARLY CHIP PLANNING Jeonghee Shin, John A. Darringer, Guojie Luo 1, Merav Aharoni, Alexey Y. Lvov, Gi-Joon Nam and Michael B. Healy IBM T. J. Watson Research Center Yorktown
More informationNetwork Architecture and Topology
1. Introduction 2. Fundamentals and design principles 3. Network architecture and topology 4. Network control and signalling 5. Network components 5.1 links 5.2 switches and routers 6. End systems 7. End-to-end
More informationAchieving the Science DMZ
Achieving the Science DMZ Eli Dart, Network Engineer ESnet Network Engineering Group Joint Techs, Winter 2012 Baton Rouge, LA January 22, 2012 Outline of the Day Motivation Services Overview Science DMZ
More informationRouteBricks: A Fast, Software- Based, Distributed IP Router
outebricks: A Fast, Software- Based, Distributed IP outer Brad Karp UCL Computer Science (with thanks to Katerina Argyraki of EPFL for slides) CS GZ03 / M030 18 th November, 2009 One-Day oom Change! On
More informationLecture 18: Interconnection Networks. CMU 15-418: Parallel Computer Architecture and Programming (Spring 2012)
Lecture 18: Interconnection Networks CMU 15-418: Parallel Computer Architecture and Programming (Spring 2012) Announcements Project deadlines: - Mon, April 2: project proposal: 1-2 page writeup - Fri,
More informationIntroduction to Digital System Design
Introduction to Digital System Design Chapter 1 1 Outline 1. Why Digital? 2. Device Technologies 3. System Representation 4. Abstraction 5. Development Tasks 6. Development Flow Chapter 1 2 1. Why Digital
More informationIntroduction to Parallel Computing. George Karypis Parallel Programming Platforms
Introduction to Parallel Computing George Karypis Parallel Programming Platforms Elements of a Parallel Computer Hardware Multiple Processors Multiple Memories Interconnection Network System Software Parallel
More informationEfficient Heterogeneous Architecture Floorplan Optimization using Analytical Methods
Efficient Heterogeneous Architecture Floorplan Optimization using Analytical Methods Asma Kahoul, Alastair M. Smith, George A.Constantinides, and Peter Y.K. Cheung Imperial College London This paper argues
More informationIC05 Introduction on Networks &Visualization Nov. 2009. <mathieu.bastian@gmail.com>
IC05 Introduction on Networks &Visualization Nov. 2009 Overview 1. Networks Introduction Networks across disciplines Properties Models 2. Visualization InfoVis Data exploration
More informationConstrained Clustering of Territories in the Context of Car Insurance
Constrained Clustering of Territories in the Context of Car Insurance Samuel Perreault Jean-Philippe Le Cavalier Laval University July 2014 Perreault & Le Cavalier (ULaval) Constrained Clustering July
More informationCreating the Conceptual Design by Gathering and Analyzing Business and Technical Requirements
Creating the Conceptual Design by Gathering and Analyzing Business and Technical Requirements Analyze the impact of Active Directory on the existing technical environment. Analyze hardware and software
More informationIt Takes a Village to Raise a Machine Learning Model. Lucian Lita @datariver
It Takes a Village to Raise a Machine Learning Model Lucian Lita It Takes a Village to Raise a Machine Learning Model Lucian Lita Algorithms Data Big Data Sheep @bigdatasheep n 5yr more data is better
More informationGeographic market analysis: Ofcom s experiences
RTR and WIK workshop on sub-national markets Geographic market analysis: Ofcom s experiences Colin Garland Economist Vienna, 20 June 2008 1 Content Section 1 Introduction and background Section 2 Developing
More informationPerformance of networks containing both MaxNet and SumNet links
Performance of networks containing both MaxNet and SumNet links Lachlan L. H. Andrew and Bartek P. Wydrowski Abstract Both MaxNet and SumNet are distributed congestion control architectures suitable for
More informationTraffic Prediction in Wireless Mesh Networks Using Process Mining Algorithms
Traffic Prediction in Wireless Mesh Networks Using Process Mining Algorithms Kirill Krinkin Open Source and Linux lab Saint Petersburg, Russia kirill.krinkin@fruct.org Eugene Kalishenko Saint Petersburg
More informationCOMP 422, Lecture 3: Physical Organization & Communication Costs in Parallel Machines (Sections 2.4 & 2.5 of textbook)
COMP 422, Lecture 3: Physical Organization & Communication Costs in Parallel Machines (Sections 2.4 & 2.5 of textbook) Vivek Sarkar Department of Computer Science Rice University vsarkar@rice.edu COMP
More informationCS 688 Pattern Recognition Lecture 4. Linear Models for Classification
CS 688 Pattern Recognition Lecture 4 Linear Models for Classification Probabilistic generative models Probabilistic discriminative models 1 Generative Approach ( x ) p C k p( C k ) Ck p ( ) ( x Ck ) p(
More informationPADS PCB Design Solutions
start smarter D A T A S H E E T PADS PCB Design Solutions The standard in desktop PCB design FEATURES AND BENEFITS: Easy to learn and use Proven technology for PCB design, analysis, and verification Accurately
More informationManagement and Orchestration of Virtualized Network Functions
Management and Orchestration of Virtualized Network Functions Elisa Maini Dep. of Electrical Engineering and Information Technology, University of Naples Federico II AIMS 2014, 30 th June 2014 Outline
More informationLoad Balancing in Cellular Networks with User-in-the-loop: A Spatial Traffic Shaping Approach
WC25 User-in-the-loop: A Spatial Traffic Shaping Approach Ziyang Wang, Rainer Schoenen,, Marc St-Hilaire Department of Systems and Computer Engineering Carleton University, Ottawa, Ontario, Canada Sources
More informationBASIC ORTHODONTICS. And why we believe in THE TIP EDGE TECHNIQUE (Differential Straight Arch)
BASIC ORTHODONTICS And why we believe in THE TIP EDGE TECHNIQUE (Differential Straight Arch) MOVING TEETH Light force + Time = Tooth Movement Any technique of moving teeth involves light force and time.
More informationG-Lab: A Future Generation Internet Research Platform
Institute of Computer Science Department of Distributed Systems Prof. G-Lab: A Future Generation Internet Research Platform www3.informatik.uni-wuerzburg.de Institute of Computer Science University of
More informationU.S. Energy Storage Monitor Q2 2015: Executive Summary. September 2015
U.S. Energy Storage Monitor Q2 2015: Executive Summary September 2015 About This Report U.S. Energy Storage Monitor is a quarterly publication of GTM Research and the Energy Storage Association (ESA).
More informationMPLS Environment. To allow more complex routing capabilities, MPLS permits attaching a
MPLS Environment Introduction to MPLS Multi-Protocol Label Switching (MPLS) is a highly efficient and flexible routing approach for forwarding packets over packet-switched networks, irrespective of the
More informationLatch Timing Parameters. Flip-flop Timing Parameters. Typical Clock System. Clocking Overhead
Clock - key to synchronous systems Topic 7 Clocking Strategies in VLSI Systems Peter Cheung Department of Electrical & Electronic Engineering Imperial College London Clocks help the design of FSM where
More informationApproximate mechanism for measuring Stability of Internet Link in aggregated Internet Pipe
1 Approximate mechanism for measuring Stability of Internet Link in aggregated Internet Pipe Abstract Vipin M, Mohamed Imran K R {vipintm, mohamed.imran}@au-kbc.org AU-KBC Research Centre, MIT Campus of
More information9/14/2011 14.9.2011 8:38
Algorithms and Implementation Platforms for Wireless Communications TLT-9706/ TKT-9636 (Seminar Course) BASICS OF FIELD PROGRAMMABLE GATE ARRAYS Waqar Hussain firstname.lastname@tut.fi Department of Computer
More informationApplication Notes. Introduction. Contents. Managing IP Centrex & Hosted PBX Services. Series. VoIP Performance Management. Overview.
Title Series Managing IP Centrex & Hosted PBX Services Date July 2004 VoIP Performance Management Contents Introduction... 1 Quality Management & IP Centrex Service... 2 The New VoIP Performance Management
More informationSystem-on. on-chip Design Flow. Prof. Jouni Tomberg Tampere University of Technology Institute of Digital and Computer Systems. jouni.tomberg@tut.
System-on on-chip Design Flow Prof. Jouni Tomberg Tampere University of Technology Institute of Digital and Computer Systems jouni.tomberg@tut.fi 26.03.2003 Jouni Tomberg / TUT 1 SoC - How and with whom?
More informationBloom Filter based Inter-domain Name Resolution: A Feasibility Study
Bloom Filter based Inter-domain Name Resolution: A Feasibility Study Konstantinos V. Katsaros, Wei Koong Chai and George Pavlou University College London, UK Outline Inter-domain name resolution in ICN
More informationA Dynamic Polling Scheme for the Network Monitoring Problem
A Dynamic Polling Scheme for the Network Monitoring Problem Feng Gao, Jairo Gutierrez* Dept. of Computer Science *Dept. of Management Science and Information Systems University of Auckland, New Zealand
More informationSU R F A C E T R A N S P O R T A T I O N I N T H E U N I T E D S T A T E S I S A
TRAFFIC CONGESTION AND GREENHOUSE GA SES B Y M AT T H E W B A R T H A N D K A N O K B O R I B O O N S O M S I N SU R F A C E T R A N S P O R T A T I O N I N T H E U N I T E D S T A T E S I S A LARGE source
More informationCase Study: Improving FPGA Design Speed with Floorplanning
Case Study: Improving FPGA Design Speed with Floorplanning - An introduction to Xilinx PlanAhead 10.1 by Consultant Kent Salomonsen (kent.salomonsen@teknologisk.dk) Picture this: the RTL is simulating
More informationQuick Questions. Skills and Knowledge. Overview. Preparation and Materials. Suggested Procedure
Quick Questions Overview Quick Questions describes a simple activity type that can be used for students to practise and revise a wide range of in the head skills. Quick Questions are short sets of questions,
More informationLecture 15 An Arithmetic Circuit Lowerbound and Flows in Graphs
CSE599s: Extremal Combinatorics November 21, 2011 Lecture 15 An Arithmetic Circuit Lowerbound and Flows in Graphs Lecturer: Anup Rao 1 An Arithmetic Circuit Lower Bound An arithmetic circuit is just like
More informationDesigning with High-Density BGA Packages for Altera Devices
2014.12.15 Designing with High-Density BGA Packages for Altera Devices AN-114 Subscribe As programmable logic devices (PLDs) increase in density and I/O pins, the demand for small packages and diverse
More informationThe Quality of Internet Service: AT&T s Global IP Network Performance Measurements
The Quality of Internet Service: AT&T s Global IP Network Performance Measurements In today's economy, corporations need to make the most of opportunities made possible by the Internet, while managing
More informationMANAGING QUEUE STABILITY USING ART2 IN ACTIVE QUEUE MANAGEMENT FOR CONGESTION CONTROL
MANAGING QUEUE STABILITY USING ART2 IN ACTIVE QUEUE MANAGEMENT FOR CONGESTION CONTROL G. Maria Priscilla 1 and C. P. Sumathi 2 1 S.N.R. Sons College (Autonomous), Coimbatore, India 2 SDNB Vaishnav College
More informationWITH A GREAT market drive for high performance and
1338 IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, VOL. 23, NO. 9, SEPTEMBER 2004 Retiming for Wire Pipelining in System-On-Chip Hai Zhou, Member, IEEE, and Chuan Lin Abstract
More informationRegion 10 Videoconference Network (R10VN)
Region 10 Videoconference Network (R10VN) Network Considerations & Guidelines 1 What Causes A Poor Video Call? There are several factors that can affect a videoconference call. The two biggest culprits
More informationStatus of the design of the TDC for the GTK TDCpix ASIC
Status of the design of the TDC for the GTK TDCpix ASIC Gianluca Aglieri Rinella, Lukas Perktold DLL design review meeting, 16 03 2011 Outline Introduction Purpose and objectives Reminder Challenges of
More informationFast Multipole Method for particle interactions: an open source parallel library component
Fast Multipole Method for particle interactions: an open source parallel library component F. A. Cruz 1,M.G.Knepley 2,andL.A.Barba 1 1 Department of Mathematics, University of Bristol, University Walk,
More informationTheory and Practice of VLSI Placement
Theory and Practice of VLSI Placement Dissertation zur Erlangung des Doktorgrades der Mathematisch-Naturwissenschaftlichen Fakultät der Rheinischen Friedrich-Wilhelms-Universität Bonn vorgelegt von Ulrich
More informationAndroid for the Enterprise Ge#ng from Here to There
Android for the Ge#ng from Here to There 1 Overview addresses enterprise needs: security and device management. 2 Overview pla6orm server so4ware 3 Overview 4 Use cases 5 Use cases Loss Remediation Minimize
More information