HPC Infrastructure Development in Bulgaria
|
|
|
- Alexander McGee
- 10 years ago
- Views:
Transcription
1 HPC Infrastructure Development in Bulgaria Svetozar Margenov Institute of Information and Communication Technologies, Bulgarian Academy of Sciences, Acad. G. Bonchev Str. Bl. 25-A, 1113 Sofia, Bulgaria PRACE-HPCW, February 2012, Sofia, Bulgaria p. 1/32
2 Outline 1. Introduction 2. Strategic documents 3. Infrastructure development 4. SEE integration 5. Parallel scalability 6. Conclusions PRACE-HPCW, February 2012, Sofia, Bulgaria p. 2/32
3 1. Introduction PRACE-HPCW, February 2012, Sofia, Bulgaria p. 3/32
4 In 1930, John Vincent Atanasoff has had a problem leading to the extremely large-scale system of 30 linear algebraic equations arising from application of Ritz method for discretization of differential equations. This has been the motivation to invent the computer. µ-fem analysis of bone microstructure High Performance Computing (HPC) is one of the most rapidly developing part of computational sciences. The advanced HPC applications reach billions of degrees of freedom. PRACE-HPCW, February 2012, Sofia, Bulgaria p. 4/32
5 Argonne National Labs GBB PRACE-HPCW, February 2012, Sofia, Bulgaria p. 5/32
6 2. Strategic documents Draft National Reform Programme ( ) National Roadmap for Research Infrastructure ( ) National Broadband Strategy ( ) National Program on Accelerated IS development ( ) Operational Programmes ( ) National Strategic Reference Framework ( ) State Policy on Accelerated IS development ( ) PRACE-HPCW, February 2012, Sofia, Bulgaria p. 6/32
7 Roadmap for RI ( ) 1. Infrastructure for sustainable development in the area of sea research 2. Infrastructure for the production and research of new materials 3. Infrastructure for genome, proteome and metabolome researches IICT - BAS is a member of the consortium 4. Infrastructure in the area of renewable energy sources and energy efficiency 5. Bulgarian supercomputing center Scientific and technical coordinator: CoE on Supercomputing applications (IICT - BAS is a coordinator of SuperCA++) 6. BG-CLARIN: integration and development of Bulgarian language electronic resources as a part of European CLARIN Scientific and technical coordinator: IICT - BAS 7. Astronomical center for research and education PRACE-HPCW, February 2012, Sofia, Bulgaria p. 7/32
8 Approach towards HPC Concentrate on better management and exploitation of existing HPC Definition of new directions in areas important to ensure the catching up process Stepping up collaboration with other countries and international organisations Financial Instruments IBM Blue Gene/P It is attractive speaking about HPC, but keep in mind exponential growing overall expectations HPC is an enabler of scientific and innovative results not a ready solution or result PRACE-HPCW, February 2012, Sofia, Bulgaria p. 8/32
9 3. Infrastructure development IICT-BAS is the main coordinator for e-infrastructure activities in Bulgaria National Research and Education Network Bulgarian Grid Infrastructure Supercomputer Blue Gene/P Grid and Supercomputing applications National and international e-infrastructure projects PRACE-HPCW, February 2012, Sofia, Bulgaria p. 9/32
10 About IICT Center for Informatics and Computer Technology (CICT) Central Laboratory for Parallel Processing (CLPP) Institute for Parallel Processing (IPP) The Institute of Information and Communication Technologies at the Bulgarian Academy of Sciences - (IICT) is founded as a successor of Institute for Parallel Processing, Institute of Information Technologies and Institute of Computer and Communication Systems PRACE-HPCW, February 2012, Sofia, Bulgaria p. 10/32
11 IICT basic scientific trends IICT-BAS has the leading position in Bulgaria in the field of: Network and Grid services Grid, Cloud and GPU computing Large-Scale scientific computations and supercomputer applications Security and information systems A large number of international projects (total number: 39 for the last 5 years), among them: EGEE -1st, 2nd and 3rd phase, EGI-InSPIRE SEEGRID-1, SEEGRID-2, SEEGRID-SCI, HP-SEE CoreGRID, GRINKO, PSIRP, FORWARD Projects funded by Bulgarian National Science Fund (NSF) (36 for the last 5 years) PRACE-HPCW, February 2012, Sofia, Bulgaria p. 11/32
12 National ei responsibilities IICT-BAS coordinates consortium of 3 universities and 3 institutes of the Academy in Center of Excellence Supercomputer Applications (SuperCA++). IICT-BAS coordinates the National Grid Initiative (NGI) (named Bulgarian Grid Consortium) and presents it in the EGI Policy Board. IICT-BAS hosts the main node of BREN and is a member of the Board of Bulgarian Research and Educational Network (BREN). IICT-BAS is responsible for the operations of the Bulgarian Academic Certification Authority ( which is authorized to issue digital Grid certificates free of charge for all Bulgarian Grid users or hosts. PRACE-HPCW, February 2012, Sofia, Bulgaria p. 12/32
13 BREN The Bulgarian Research and Educational Network (BREN) is the academic provider of Internet for Bulgaria. Members of BREN: Executive Agency Electronic Communication Networks and Information Systems, Ministry of Transport, Information Technology and Communications Bulgarian Academy of Sciences The Council of Bulgarian Universities Rectors National Research Network PRACE-HPCW, February 2012, Sofia, Bulgaria p. 13/32
14 The Bulgarian Grid consortium Founders: Institute for Parallel Processing (IPP-BAS, former CLPP-BAS) and Institute for Nuclear Research and Nuclear Energy (INRNE-BAS) ( Agreement signed in September 2002) Joined by 8 institutes and 4 universities in the next several years Active work started 2004 Since 2007, IPP-BAS is recognized as the coordinator of Bulgarian Grid Initiative Main goals: Sharing of resources and expertise in Grid technologies; Development of Grid applications. PRACE-HPCW, February 2012, Sofia, Bulgaria p. 14/32
15 Grid computing resources PRACE-HPCW, February 2012, Sofia, Bulgaria p. 15/32
16 PRACE-HPCW, February 2012, Sofia, Bulgaria p. 16/32
17 PRACE-HPCW, February 2012, Sofia, Bulgaria p. 17/32
18 PRACE-HPCW, February 2012, Sofia, Bulgaria p. 18/32
19 PRACE-HPCW, February 2012, Sofia, Bulgaria p. 19/32
20 PRACE-HPCW, February 2012, Sofia, Bulgaria p. 20/32
21 HPC pyramid European and National HPC Projects and Initiatives PRACE: Partnership for Advanced Computing in Europe HP-SEE: High Performance Computing Infrastructure for South East Europe s Research Communities SuperCA++: Center of Excellence for Supercomputing Applications PRACE-HPCW, February 2012, Sofia, Bulgaria p. 21/32
22 SuperCA++ PRACE-HPCW, February 2012, Sofia, Bulgaria p. 22/32
23 5. SEE integration PRACE-HPCW, February 2012, Sofia, Bulgaria p. 23/32
24 PRACE-HPCW, February 2012, Sofia, Bulgaria p. 24/32
25 PRACE-HPCW, February 2012, Sofia, Bulgaria p. 25/32
26 PRACE-HPCW, February 2012, Sofia, Bulgaria p. 26/32
27 PRACE-HPCW, February 2012, Sofia, Bulgaria p. 27/32
28 5. Parallel scalability Figure: 1D, 2D and 3D partitioning: voxel triangulation of a cubic domain Parallel numerical tests for a parabolic problem in cubic space domain, voxel FEM mesh, and 96 implicit backward Euler time steps, are given bellow. Table: Parallel scalability PRACE-HPCW, February 2012, Sofia, Bulgaria p. 28/32
29 Unstructured meshes Figure: 3D FEM discretization: unstructured mesh and and ParMETIS partitioning for 16 processors ParMETIS is developed by Karypis Lab. It is an MPI-based parallel library that implements a variety of algorithms for partitioning unstructured graphs, meshes, and for computing fill-reducing orderings of sparse matrices. PRACE-HPCW, February 2012, Sofia, Bulgaria p. 29/32
30 ParMETIS partitioning Table: 3D FEM discretization: unstructured mesh and and ParMETIS partitioning for 512 processors ParMETIS computes in parallel partitionings of very large unstructured meshes. A high quality balance with respect to the number of elements and vertices, and minimization of the size of interfaces is provided. The relatively large number of neighbors is still an open problem. PRACE-HPCW, February 2012, Sofia, Bulgaria p. 30/32
31 Supercomputing in Blue Blue Gene/P: 4 x 3D Torus = : diam = 96 Blue Gene/Q: 32 x 5D Torus = : diam = 20 Blue Water diam = 4 PRACE-HPCW, February 2012, Sofia, Bulgaria p. 31/32
32 6. Conclusions Bulgaria has visible presence and active role in the area of e-infrastructures in the SEE region with its achievements, expertise and resources. Bulgaria is a pioneer in SEE region in the field of national SC programs (SuperCA, SuperCA++), and IICT-BAS is ready to share its experience. THANK YOU! PRACE-HPCW, February 2012, Sofia, Bulgaria p. 32/32
HPC enabling of OpenFOAM R for CFD applications
HPC enabling of OpenFOAM R for CFD applications Towards the exascale: OpenFOAM perspective Ivan Spisso 25-27 March 2015, Casalecchio di Reno, BOLOGNA. SuperComputing Applications and Innovation Department,
Mesh Generation and Load Balancing
Mesh Generation and Load Balancing Stan Tomov Innovative Computing Laboratory Computer Science Department The University of Tennessee April 04, 2012 CS 594 04/04/2012 Slide 1 / 19 Outline Motivation Reliable
FRIEDRICH-ALEXANDER-UNIVERSITÄT ERLANGEN-NÜRNBERG
FRIEDRICH-ALEXANDER-UNIVERSITÄT ERLANGEN-NÜRNBERG INSTITUT FÜR INFORMATIK (MATHEMATISCHE MASCHINEN UND DATENVERARBEITUNG) Lehrstuhl für Informatik 10 (Systemsimulation) Massively Parallel Multilevel Finite
Fast 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,
Network for Sustainable Ultrascale Computing (NESUS) www.nesus.eu
Network for Sustainable Ultrascale Computing (NESUS) www.nesus.eu Objectives of the Action Aim of the Action: To coordinate European efforts for proposing realistic solutions addressing major challenges
Welcome to the. Jülich Supercomputing Centre. D. Rohe and N. Attig Jülich Supercomputing Centre (JSC), Forschungszentrum Jülich
Mitglied der Helmholtz-Gemeinschaft Welcome to the Jülich Supercomputing Centre D. Rohe and N. Attig Jülich Supercomputing Centre (JSC), Forschungszentrum Jülich Schedule: Monday, May 19 13:00-13:30 Welcome
IMPORTANT PROJECT OF COMMON EUROPEAN INTEREST (IPCEI)
IMPORTANT PROJECT OF COMMON EUROPEAN INTEREST (IPCEI) ON HIGH PERFORMANCE COMPUTING AND BIG DATA ENABLED APPLICATIONS (IPCEI-HPC-BDA) European Strategic Positioning Paper Luxembourg, France, Italy (& Spain)
HPC Deployment of OpenFOAM in an Industrial Setting
HPC Deployment of OpenFOAM in an Industrial Setting Hrvoje Jasak [email protected] Wikki Ltd, United Kingdom PRACE Seminar: Industrial Usage of HPC Stockholm, Sweden, 28-29 March 2011 HPC Deployment
Workprogramme 2014-15
Workprogramme 2014-15 e-infrastructures DCH-RP final conference 22 September 2014 Wim Jansen einfrastructure DG CONNECT European Commission DEVELOPMENT AND DEPLOYMENT OF E-INFRASTRUCTURES AND SERVICES
Introduction History Design Blue Gene/Q Job Scheduler Filesystem Power usage Performance Summary Sequoia is a petascale Blue Gene/Q supercomputer Being constructed by IBM for the National Nuclear Security
Cosmological simulations on High Performance Computers
Cosmological simulations on High Performance Computers Cosmic Web Morphology and Topology Cosmological workshop meeting Warsaw, 12-17 July 2011 Maciej Cytowski Interdisciplinary Centre for Mathematical
Dr. Raju Namburu Computational Sciences Campaign U.S. Army Research Laboratory. The Nation s Premier Laboratory for Land Forces UNCLASSIFIED
Dr. Raju Namburu Computational Sciences Campaign U.S. Army Research Laboratory 21 st Century Research Continuum Theory Theory embodied in computation Hypotheses tested through experiment SCIENTIFIC METHODS
High Performance Computing
High Parallel Computing Hybrid Program Coding Heterogeneous Program Coding Heterogeneous Parallel Coding Hybrid Parallel Coding High Performance Computing Highly Proficient Coding Highly Parallelized Code
Parallel Visualization of Petascale Simulation Results from GROMACS, NAMD and CP2K on IBM Blue Gene/P using VisIt Visualization Toolkit
Available online at www.prace-ri.eu Partnership for Advanced Computing in Europe Parallel Visualization of Petascale Simulation Results from GROMACS, NAMD and CP2K on IBM Blue Gene/P using VisIt Visualization
Towards an EU-Africa Project
Towards an EU-Africa Project Panos Louridas, GRNET [email protected] EGEE Policy & International Cooperation Leader HellasGrid Coordinator Atellier Interrnet et Grilles de Calculs en, Montpellier December
High Performance Computing in Horizon 2020. February 26-28, 2014 Fukuoka Japan
High Performance Computing in Horizon 2020 Big Data and Extreme Scale Computing Workshop 51214 February 26-28, 2014 Fukuoka Japan Excellence in Science DG CONNECT European Commission Jean-Yves Berthou
HPC technology and future architecture
HPC technology and future architecture Visual Analysis for Extremely Large-Scale Scientific Computing KGT2 Internal Meeting INRIA France Benoit Lange [email protected] Toàn Nguyên [email protected]
010200 - «Mathematics and Computer Science»
Institute of Applied Mathematics and Mechanics Telematics Department (under the Central Scientific Research Institute of Robotics and Technical Cybernetics) announces admission to bachelor's and master's
How Cineca supports IT
How Cineca supports IT Topics CINECA: an overview Systems and Services for Higher Education HPC for Research Activities and Industries Cineca: the Consortium Not For Profit Founded in 1969 HPC FERMI: TOP500
Part I Courses Syllabus
Part I Courses Syllabus This document provides detailed information about the basic courses of the MHPC first part activities. The list of courses is the following 1.1 Scientific Programming Environment
Parallel Programming at the Exascale Era: A Case Study on Parallelizing Matrix Assembly For Unstructured Meshes
Parallel Programming at the Exascale Era: A Case Study on Parallelizing Matrix Assembly For Unstructured Meshes Eric Petit, Loïc Thebault, Quang V. Dinh May 2014 EXA2CT Consortium 2 WPs Organization Proto-Applications
Data-intensive HPC: opportunities and challenges. Patrick Valduriez
Data-intensive HPC: opportunities and challenges Patrick Valduriez Big Data Landscape Multi-$billion market! Big data = Hadoop = MapReduce? No one-size-fits-all solution: SQL, NoSQL, MapReduce, No standard,
A Load Balancing Tool for Structured Multi-Block Grid CFD Applications
A Load Balancing Tool for Structured Multi-Block Grid CFD Applications K. P. Apponsah and D. W. Zingg University of Toronto Institute for Aerospace Studies (UTIAS), Toronto, ON, M3H 5T6, Canada Email:
Data Centric Systems (DCS)
Data Centric Systems (DCS) Architecture and Solutions for High Performance Computing, Big Data and High Performance Analytics High Performance Computing with Data Centric Systems 1 Data Centric Systems
Horizon 2020. Research e-infrastructures Excellence in Science Work Programme 2016-17. Wim Jansen. DG CONNECT European Commission
Horizon 2020 Research e-infrastructures Excellence in Science Work Programme 2016-17 Wim Jansen DG CONNECT European Commission 1 Before we start The material here presented has been compiled with great
PACE Predictive Analytics Center of Excellence @ San Diego Supercomputer Center, UCSD. Natasha Balac, Ph.D.
PACE Predictive Analytics Center of Excellence @ San Diego Supercomputer Center, UCSD Natasha Balac, Ph.D. Brief History of SDSC 1985-1997: NSF national supercomputer center; managed by General Atomics
Energy efficiency in HPC :
Energy efficiency in HPC : A new trend? A software approach to save power but still increase the number or the size of scientific studies! 19 Novembre 2012 The EDF Group in brief A GLOBAL LEADER IN ELECTRICITY
PLGrid Programme: IT Platforms and Domain-Specific Solutions Developed for the National Grid Infrastructure for Polish Science
1 PL-Grid: Polish Infrastructure for Supporting Computational Science in the European Research Space PLGrid Programme: IT Platforms and Domain-Specific Solutions Developed for the National Grid Infrastructure
The Lattice Project: A Multi-Model Grid Computing System. Center for Bioinformatics and Computational Biology University of Maryland
The Lattice Project: A Multi-Model Grid Computing System Center for Bioinformatics and Computational Biology University of Maryland Parallel Computing PARALLEL COMPUTING a form of computation in which
Petascale, Adaptive CFD (ALCF ESP Technical Report)
ANL/ALCF/ESP-13/7 Petascale, Adaptive CFD (ALCF ESP Technical Report) ALCF-2 Early Science Program Technical Report Argonne Leadership Computing Facility About Argonne National Laboratory Argonne is a
AN APPROACH FOR SECURE CLOUD COMPUTING FOR FEM SIMULATION
AN APPROACH FOR SECURE CLOUD COMPUTING FOR FEM SIMULATION Jörg Frochte *, Christof Kaufmann, Patrick Bouillon Dept. of Electrical Engineering and Computer Science Bochum University of Applied Science 42579
High Performance Computing. Course Notes 2007-2008. HPC Fundamentals
High Performance Computing Course Notes 2007-2008 2008 HPC Fundamentals Introduction What is High Performance Computing (HPC)? Difficult to define - it s a moving target. Later 1980s, a supercomputer performs
High Performance Computing Initiatives
High Performance Computing Initiatives Eric Stahlberg September 1, 2015 DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Cancer Institute Frederick National Laboratory is
8970/15 FMA/AFG/cb 1 DG G 3 C
Council of the European Union Brussels, 19 May 2015 (OR. en) 8970/15 NOTE RECH 141 TELECOM 119 COMPET 228 IND 80 From: Permanent Representatives Committee (Part 1) To: Council No. prev. doc.: 8583/15 RECH
Mathematical Libraries on JUQUEEN. JSC Training Course
Mitglied der Helmholtz-Gemeinschaft Mathematical Libraries on JUQUEEN JSC Training Course May 10, 2012 Outline General Informations Sequential Libraries, planned Parallel Libraries and Application Systems:
YALES2 porting on the Xeon- Phi Early results
YALES2 porting on the Xeon- Phi Early results Othman Bouizi Ghislain Lartigue Innovation and Pathfinding Architecture Group in Europe, Exascale Lab. Paris CRIHAN - Demi-journée calcul intensif, 16 juin
PRACE the European HPC Research Infrastructure. Carlos Mérida-Campos, Advisor of Spanish Member at PRACE Council
PRACE the European HPC Research Infrastructure Carlos Mérida-Campos, Advisor of Spanish Member at PRACE Council Barcelona, 6-June-2013 PRACE an European e-infrastructure & ESFRI-list item in operation
Computational infrastructure for NGS data analysis. José Carbonell Caballero Pablo Escobar
Computational infrastructure for NGS data analysis José Carbonell Caballero Pablo Escobar Computational infrastructure for NGS Cluster definition: A computer cluster is a group of linked computers, working
ACCELERATING COMMERCIAL LINEAR DYNAMIC AND NONLINEAR IMPLICIT FEA SOFTWARE THROUGH HIGH- PERFORMANCE COMPUTING
ACCELERATING COMMERCIAL LINEAR DYNAMIC AND Vladimir Belsky Director of Solver Development* Luis Crivelli Director of Solver Development* Matt Dunbar Chief Architect* Mikhail Belyi Development Group Manager*
SURVEY REPORT DATA SCIENCE SOCIETY 2014
SURVEY REPORT DATA SCIENCE SOCIETY 2014 TABLE OF CONTENTS Contents About the Initiative 1 Report Summary 2 Participants Info 3 Participants Expertise 6 Suggested Discussion Topics 7 Selected Responses
Regional Vision and Strategy The European HPC Strategy
Regional Vision and Strategy The European HPC Strategy BDEC 29 January 2015 Augusto BURGUEÑO ARJONA Head of Unit einfrastructure - DG CONNECT European Commission @ABurguenoEU aburguenoeu.wordpress.com
9360/15 FMA/AFG/cb 1 DG G 3 C
Council of the European Union Brussels, 29 May 2015 (OR. en) 9360/15 OUTCOME OF PROCEEDINGS From: To: Council Delegations RECH 183 TELECOM 134 COMPET 288 IND 92 No. prev. doc.: 8970/15 RECH 141 TELECOM
Number of hours in the semester L Ex. Lab. Projects SEMESTER I 1. Economy 45 18 27. 2. Philosophy 18 18. 4. Mathematical Analysis 45 18 27 Exam
Year 1 Lp. Course name Number of hours in the semester L Ex. Lab. Projects SEMESTER I 1. Economy 45 18 7. Philosophy 18 18 3. Linear Algebra 45 18 7 Exam 4. Mathematical Analysis 45 18 7 Exam 5. Economical
P013 INTRODUCING A NEW GENERATION OF RESERVOIR SIMULATION SOFTWARE
1 P013 INTRODUCING A NEW GENERATION OF RESERVOIR SIMULATION SOFTWARE JEAN-MARC GRATIEN, JEAN-FRANÇOIS MAGRAS, PHILIPPE QUANDALLE, OLIVIER RICOIS 1&4, av. Bois-Préau. 92852 Rueil Malmaison Cedex. France
Appro Supercomputer Solutions Best Practices Appro 2012 Deployment Successes. Anthony Kenisky, VP of North America Sales
Appro Supercomputer Solutions Best Practices Appro 2012 Deployment Successes Anthony Kenisky, VP of North America Sales About Appro Over 20 Years of Experience 1991 2000 OEM Server Manufacturer 2001-2007
High Performance Computing Infrastructure in JAPAN
High Performance Computing Infrastructure in JAPAN Yutaka Ishikawa Director of Information Technology Center Professor of Computer Science Department University of Tokyo Leader of System Software Research
Enabling Multi-pipeline Data Transfer in HDFS for Big Data Applications
Enabling Multi-pipeline Data Transfer in HDFS for Big Data Applications Liqiang (Eric) Wang, Hong Zhang University of Wyoming Hai Huang IBM T.J. Watson Research Center Background Hadoop: Apache Hadoop
Mathematical Libraries and Application Software on JUROPA and JUQUEEN
Mitglied der Helmholtz-Gemeinschaft Mathematical Libraries and Application Software on JUROPA and JUQUEEN JSC Training Course May 2014 I.Gutheil Outline General Informations Sequential Libraries Parallel
Development and Evaluation of Point Cloud Compression for the Point Cloud Library
Development and Evaluation of Point Cloud Compression for the Institute for Media Technology, TUM, Germany May 12, 2011 Motivation Point Cloud Stream Compression Network Point Cloud Stream Decompression
Introduction to Cloud Computing
Introduction to Cloud Computing Parallel Processing I 15 319, spring 2010 7 th Lecture, Feb 2 nd Majd F. Sakr Lecture Motivation Concurrency and why? Different flavors of parallel computing Get the basic
Towards real-time image processing with Hierarchical Hybrid Grids
Towards real-time image processing with Hierarchical Hybrid Grids International Doctorate Program - Summer School Björn Gmeiner Joint work with: Harald Köstler, Ulrich Rüde August, 2011 Contents The HHG
High-Performance Computing and Big Data Challenge
High-Performance Computing and Big Data Challenge Dr Violeta Holmes Matthew Newall The University of Huddersfield Outline High-Performance Computing E-Infrastructure Top500 -Tianhe-II UoH experience: HPC
The Jigsaw Collaborative Method in Blended Learning Course Computer Games and Education Realization in Moodle
The Jigsaw Collaborative Method in Blended Learning Course Computer Games and Education Realization in Moodle Daniela Tuparova 1, Georgi Tuparov 1,2 1 Department of Computer Science, South-West University,
New Jersey Big Data Alliance
Rutgers Discovery Informatics Institute (RDI 2 ) New Jersey s Center for Advanced Computation New Jersey Big Data Alliance Manish Parashar Director, Rutgers Discovery Informatics Institute (RDI 2 ) Professor,
Future and Emerging Technologies (FET) in H2020. Ales Fiala Future and Emerging Technologies DG CONNECT European Commission
Future and Emerging Technologies (FET) in H2020 51214 Ales Fiala Future and Emerging Technologies DG CONNECT European Commission H2020, three pillars Societal challenges Excellent science FET Industrial
INFO@HAND: Mobile Application for Conference Series
INFO@HAND: Mobile Application for Conference Series Zsolt László Márkus 1, Gábor Kaposi 1, György Szántó 1, Tibor Szkaliczki 1, Miklós Veres 1, Zsolt Weisz 1, Werner Routsalainen 1, Detelin Luchev 2, Radoslav
A Software Development Environment for the CSP
A Software Development Environment for the CSP Nicolás Erdödy Open Parallel Ltd. Computing for SKA Colloquium 2015 AUT University, Auckland, New Zealand February 12, 2015 Agenda Introduction - Track record.
MIKE by DHI 2014 e sviluppi futuri
MIKE by DHI 2014 e sviluppi futuri Johan Hartnack Torino, 9-10 Ottobre 2013 Technology drivers/trends Smart devices Cloud computing Services vs. Products Technology drivers/trends Multiprocessor hardware
The GPU Accelerated Data Center. Marc Hamilton, August 27, 2015
The GPU Accelerated Data Center Marc Hamilton, August 27, 2015 THE GPU-ACCELERATED DATA CENTER HPC DEEP LEARNING PC VIRTUALIZATION CLOUD GAMING RENDERING 2 Product design FROM ADVANCED RENDERING TO VIRTUAL
Scientific Cloud Computing Infrastructure for Europe Strategic Plan. Bob Jones,
Scientific Cloud Computing Infrastructure for Europe Strategic Plan Bob Jones, IT department, CERN Origin of the initiative Conceived by ESA as a prospective for providing cloud services to space sector
Unleashing the Performance Potential of GPUs for Atmospheric Dynamic Solvers
Unleashing the Performance Potential of GPUs for Atmospheric Dynamic Solvers Haohuan Fu [email protected] High Performance Geo-Computing (HPGC) Group Center for Earth System Science Tsinghua University
Relations with ISV and Open Source. Stephane Requena GENCI [email protected]
Relations with ISV and Open Source Stephane Requena GENCI [email protected] Agenda of this session 09:15 09:30 Prof. Hrvoje Jasak: Director, Wikki Ltd. «HPC Deployment of OpenFOAM in an Industrial
Matrix Multiplication
Matrix Multiplication CPS343 Parallel and High Performance Computing Spring 2016 CPS343 (Parallel and HPC) Matrix Multiplication Spring 2016 1 / 32 Outline 1 Matrix operations Importance Dense and sparse
Design and Optimization of OpenFOAM-based CFD Applications for Hybrid and Heterogeneous HPC Platforms
Design and Optimization of OpenFOAM-based CFD Applications for Hybrid and Heterogeneous HPC Platforms Amani AlOnazi, David E. Keyes, Alexey Lastovetsky, Vladimir Rychkov Extreme Computing Research Center,
BookTOC.txt. 1. Functions, Graphs, and Models. Algebra Toolbox. Sets. The Real Numbers. Inequalities and Intervals on the Real Number Line
College Algebra in Context with Applications for the Managerial, Life, and Social Sciences, 3rd Edition Ronald J. Harshbarger, University of South Carolina - Beaufort Lisa S. Yocco, Georgia Southern University
Cloud Computing. Alex Crawford Ben Johnstone
Cloud Computing Alex Crawford Ben Johnstone Overview What is cloud computing? Amazon EC2 Performance Conclusions What is the Cloud? A large cluster of machines o Economies of scale [1] Customers use a
Design and Optimization of OpenFOAM-based CFD Applications for Modern Hybrid and Heterogeneous HPC Platforms. Amani AlOnazi.
Design and Optimization of OpenFOAM-based CFD Applications for Modern Hybrid and Heterogeneous HPC Platforms Amani AlOnazi For the Degree of Master of Science Uniersity College Dublin, Dublin, Ireland
The Hartree Centre helps businesses unlock the potential of HPC
The Hartree Centre helps businesses unlock the potential of HPC Fostering collaboration and innovation across UK industry with help from IBM Overview The need The Hartree Centre needs leading-edge computing
