'2 processors' diaporamas de présentation

An Overview of High Performance Computing and Challenges for the Future

An Overview of High Performance Computing and Challenges for the Future. Jack Dongarra INNOVATIVE COMP ING LABORATORY University of Tennessee Oak Ridge National Laboratory University of Manchester. Outline. Top500 Results Four Important Concepts that Will Effect Math Software

748 views • 62 slides

April 2002 David Harakal/Austin/IBM dharakal@us.ibm

Tivoli Spring Launch Enhanced Value-Based Pricing for the Tivoli Portfolio Consolidation David Harakal, IBM Tivoli Pricing. April 2002 David Harakal/Austin/IBM dharakal@us.ibm.com. Topics to cover. Portfolio Consolidation Goals and results Timeline Enhancements to Value-Based Pricing

695 views • 57 slides

April 2002 David Harakal/Austin/IBM dharakal@us.ibm

Tivoli Spring Launch Enhanced Value-Based Pricing for the Tivoli Portfolio Consolidation David Harakal, IBM Tivoli Pricing. April 2002 David Harakal/Austin/IBM dharakal@us.ibm.com. Topics to cover. Portfolio Consolidation Goals and results Timeline Enhancements to Value-Based Pricing

572 views • 57 slides

Numerical Algorithms

683 views • 55 slides

Strategic Applications to Drive Strategic Technologies for the 21st Century

Strategic Applications to Drive Strategic Technologies for the 21st Century. Keynote Talk at the RCI Annual Member Management Executive Conference Arlington, Virginia October 13, 1998. The Emerging Concept of a National Scale Information Power Grid.

550 views • 41 slides

Paradigms for Parallel Algorithms

Paradigms for Parallel Algorithms. Levels of Parallelism. (Sub)Program Level Parallelism. Program Level Parallelism If there are n independent programs, these programs can be given to n different processing elements (or machines).

415 views • 32 slides

516 views • 31 slides

Infrastructure and Architecture

James Elliott. Infrastructure and Architecture. Outline. HPCI Cluster Overview Azul Itanium Cores, Processors, Hyperthreading Highly Parallel vs. Memory Intensive Benchmarks Computing Resources Looking ahead. HPCI Cluster Overview. HPCI manages 4 clusters Azul ( Spanish for Blue ) ?

369 views • 29 slides

Senior Lecturer SOE Dan Garcia cs.berkeley/~ddgarcia

inst.eecs.berkeley.edu/~cs61c CS61C : Machine Structures Lecture 21 Thread Level Parallelism II. Senior Lecturer SOE Dan Garcia www.cs.berkeley.edu/~ddgarcia.

322 views • 24 slides

Senior Lecturer SOE Dan Garcia cs.berkeley/~ddgarcia

inst.eecs.berkeley.edu/~cs61c CS61C : Machine Structures Lecture 21 Thread Level Parallelism II. Senior Lecturer SOE Dan Garcia www.cs.berkeley.edu/~ddgarcia.

296 views • 24 slides

Performance of CMAQ on a Mac OS X System

Performance of CMAQ on a Mac OS X System. Tracey Holloway, John Bachan, Scott Spak Center for Sustainability and the Global Environment University of Wisconsin-Madison A presentation to the 3rd annual CMAS Models-3 conference October 19, 2004. Thinking different. Motivation Methods

371 views • 21 slides

COSMO - RO mania

COSMO - RO mania. Liliana VELEA National Meteorological Administration, Bucharest, Romania. Outline. COSMO-RO Group Current state of work Romania involvement within COSMO Future plans. NMA Romania. Starting date: October 2004 First results: December 2004. COSMO-RO Group.

187 views • 8 slides

COSMO - RO mania

COSMO - RO mania. Liliana VELEA National Meteorological Administration, Bucharest, Romania. Outline. COSMO-RO Group Current state of work Romania involvement within COSMO Future plans. NMA Romania. Starting date: October 2004 First results: December 2004. COSMO-RO Group.

234 views • 8 slides

Application Servers

Application Servers. Dell, Fujitsu, HP, IBM, Sun (Windows/Linux/Unix). DELL PowerEdge Rack-Optimized 7U (8450), 4U (6650), 3U (1655MC), 2U (2650), 1U (1650, 350). DELL PowerEdge Tower Servers (Rack-Capable) 6600, 4600, 2600. DELL PowerEdge SC Servers 1600sc, 1400sc, 600sc.

288 views • 8 slides

Numerical Algorithms Quiz questions

Numerical Algorithms Quiz questions. What is meant by the term cost-optimal?. When the cost of computers is the lowest When the parallel time complexity x number of processors used = sequential time complexity When the number of lines of code is at the lower bound (minimum)

52 views • 5 slides