'Memory latency' presentation slideshows

High Performance Platforms

High Performance Platforms. Salvatore Orlando. Scope of Parallelism: the roadmap towards HPC . Conventional architectures are coarsely comprised of processor , memory system , I/O Each of these components presents significant performance bottlenecks .

1.95k views • 174 slides

Parallel Computing Platforms Ananth Grama, Anshul Gupta, George Karypis, and Vipin Kumar

Parallel Computing Platforms Ananth Grama, Anshul Gupta, George Karypis, and Vipin Kumar. To accompany the text ``Introduction to Parallel Computing'', Addison Wesley, 2003. Topic Overview. Implicit Parallelism: Trends in Microprocessor Architectures

1.64k views • 127 slides

1.29k views • 114 slides

Combinatorial Scientific Computing: Experiences, Directions, and Challenges

Combinatorial Scientific Computing: Experiences, Directions, and Challenges. John R. Gilbert University of California, Santa Barbara DOE CSCAPES Workshop June 11, 2008. Support: DOE Office of Science, DARPA, SGI, MIT Lincoln Labs. Combinatorial Scientific Computing.

769 views • 59 slides

Kilo-instruction Processors

Kilo-instruction Processors. Mateo Valero, UPC HPCA-10, Madrid February 14-17 th 2004. Motivation. Technology works against ILP: Faster clock rates => Lower ILP. Justin Rattner, Intel-MRL, Keynote lecture, Micro-32. Memory. L1 Instr. L2. Branch misprediction. L1 Data. Next IP.

705 views • 59 slides

616 views • 52 slides

ME964 High Performance Computing for Engineering Applications

593 views • 43 slides

MS Thesis Defense

1.4k views • 43 slides

Current Trends in CMP/CMT Processors

Current Trends in CMP/CMT Processors. Wei Hsu 7/26/2006. Trends in Emerging Systems. Industry and community could previously rely on increased frequency and micro-architecture innovations to steadily improve performance of computers each year superscalar, out-of-order issue,

535 views • 37 slides

Tuesday, September 19, 2006

Tuesday, September 19, 2006. The practical scientist is trying to solve tomorrow's problem on yesterday's computer. Computer scientists often have it the other way around. - Numerical Recipes, C Edition. Reference Material. Lectures 1 & 2

434 views • 33 slides

Topics 9-10: Database optimization for modern machines

Topics 9-10: Database optimization for modern machines. Computer architecture is changing over the years, so we have to change our programmes, too!

409 views • 26 slides

1801, Joseph Marie Jacquard Jacquard Loom and punch cards to program it. ( George H. Williams , photos from Wikipedia) S

647 views • 20 slides

Communication latency in distributed memory systems

Communication (or network) latency = time between sending and starting to receive data on ... On a uniprocessor - memory wall speed gap between processor and memory ...

510 views • 19 slides

Many-Core Operating Systems

396 views • 17 slides

Revisiting a slide from the syllabus: CS 525 will cover

Revisiting a slide from the syllabus: CS 525 will cover. Parallel and distributed computing architectures Shared memory processors Distributed memory processors Multi-core processors Parallel programming S hared memory programming ( OpenMP ) D istributed memory programming (MPI)

241 views • 16 slides

An Analysis of Memory Access in Relation to Operations on Data Structures

An Analysis of Memory Access in Relation to Operations on Data Structures. An Analysis of Memory Access in Relation to Operations on Data Structures. Ryan Connaughton & Daniel Rinzler CSE 60641 December 13, 2006. Memory latency is a consistent bottleneck

247 views • 13 slides

Reducing memory penalty by a programmable prefetch engine for on-chip caches

Reducing memory penalty by a programmable prefetch engine for on-chip caches. Presentatie voor het vak computerarchitectuur door Armin van der Togt. Indeling:. Probleemstelling De prefetch architectuur Resultaten Conclusies Gerelateerd werk. Probleemstelling.

231 views • 13 slides

Dennis Byrne dennisbyrne@apache

Memory Barriers. Dennis Byrne dennisbyrne@apache.org. Defining the Problem. Object connection = null; boolean initialized = false; // thread 1 writes twice // thread 2 reads twice connection = new Connection(); if(initialized)

175 views • 10 slides

nBody Simulation with CUDA

Joshua Brunner, Alexander Zdun , Erik Stadler. nBody Simulation with CUDA. Thread Syncronization. __ syncthreads () Keeps threads in a block synchronized Can be bad if called too often, especially if there are a lot of threads in a block.

266 views • 9 slides

independent work in between

Control-Flow Decoupling Rami Sheikh, James Tuck, Eric Rotenberg North Carolina State University. branch-slice. branch-slice. branch-slice Push_BQ. branch. branch. Branch_on_BQ. control- dependent region. control- dependent region. control- dependent region. Motivation.

110 views • 1 slides