'Cache misses' diaporamas de présentation

Principles and Practice of Application Performance Measurement and Analysis on Parallel Systems

1.41k views • 121 slides

Evaluation of Leading Parallel Architectures for Scientific Computing

Evaluation of Leading Parallel Architectures for Scientific Computing. Leonid Oliker Future Technologies Group NERSC/LBNL www.nersc.gov/~oliker. Overview.

761 views • 67 slides

603 views • 48 slides

Accuracy of Performance Monitoring Hardware

Accuracy of Performance Monitoring Hardware. Michael E. Maxwell, Patricia J. Teller, and Leonardo Salayandia University of Texas-El Paso and Shirley Moore University of Tennessee-Knoxville. PCAT Team. Dr. Patricia Teller Alonso Bayona - Undergraduate Alexander Sainz - Undergraduate

559 views • 47 slides

CS 61C: Great Ideas in Computer Architecture (Machine Structures) More Cache: Set Associativity

567 views • 43 slides

Towards a Computationally Bound Numerical Weather Prediction Model

Towards a Computationally Bound Numerical Weather Prediction Model. Daniel B. Weber, Ph.D. Software Group - 76 SMXG Tinker Air Force Base October 6, 2008. Definitions. Computationally bound: A significant portion of processing time is spent doing floating point operations (FLOPS)

614 views • 41 slides

The Application of POSIX Threads And OpenMP to the U.S. NRC Neutron Kinetics Code PARCS

The Application of POSIX Threads And OpenMP to the U.S. NRC Neutron Kinetics Code PARCS. D.J. Lee and T.J. Downar School of Nuclear Engineering Purdue University. July, 2001. Contents. Introduction Parallelism in PARCS Parallel Performance of PARCS Cache Analysis Conclusions.

449 views • 34 slides

Accurate Timing Analysis by Modeling Caches, Speculation and their Interaction

Accurate Timing Analysis by Modeling Caches, Speculation and their Interaction. Xianfeng Li Tulika Mitra Abhik Roychoudhury National University of Singapore. Why Timing Analysis?. Timing guarantees for real time embedded system Real time scheduling:

377 views • 26 slides

Synergistic Execution of Stream Programs on Multicores with Accelerators

Synergistic Execution of Stream Programs on Multicores with Accelerators. Abhishek Udupa et. al. Indian Institute of Science. Abstract. Orchestrating the execution of a stream program on a multicore platform with an accelerator [GPUs, CellBE]

311 views • 22 slides

Schedulers and Instruction Windows for High Performance Superscalars

Schedulers and Instruction Windows for High Performance Superscalars. Kshitiz Malik Viral Mehta. Instruction Dispatch: Rename, and send to Scheduler Instruction Issue: Send from Scheduler to Execution Unit

258 views • 18 slides

Instrumentation and Performance Analysis for Finding Memory Bottlenecks

University of Maryland. Thomas J. Watson. Research Center. Instrumentation and Performance Analysis for Finding Memory Bottlenecks. Jeff Hollingsworth Luiz Derose K Ekanadham. Using Data Cache Sampling. Hardware Requirements: Periodic interrupt on cache miss

276 views • 18 slides

An Adaptive Shared/Private NUCA Cache Partitioning Scheme for Chip Multiprocessors

579 views • 18 slides

Operating System Support for improving data locality on CC-NUMA machines

Operating System Support for improving data locality on CC-NUMA machines. CSE597A Presentation By V.N.Murali. WHY CC-NUMA?. Scalable with increase in number of nodes Attractive properties.Transparent access to local and remote memory at the cost of increased access latency to remote memory.

316 views • 17 slides

Query Reordering for Photon Mapping

285 views • 16 slides

Cache coherence for CMPs

Cache coherence for CMPs. Miodrag Bolic. Private cache. Each cache bank is private to a particular core Cache coherence is maintained at the L2 cache level Intel Montecito [81], AMD Opteron [56], or IBM POWER6 [63]. Private cache. Advantages . Disadvantages. Data blocks can get duplicated

308 views • 12 slides

Using Processor-Cache Affinity Information in Shared-Memory Multiprocessor Scheduling

273 views • 12 slides

Cache-Based Scalable Deep Packet Inspection with Predictive Automaton

Cache-Based Scalable Deep Packet Inspection with Predictive Automaton. Presenter : Shi- qu Yu Date : 2011/08/31. INTRODUCTION.

251 views • 11 slides

Reducing Misses using Compiler Optimizations

Reducing Misses using Compiler Optimizations. McFarling [1989] reduced caches misses by 75% on 8KB direct mapped cache, 4 byte blocks in software Instructions Reorder procedures in memory so as to reduce conflict misses Profiling to look at conflicts(using tools they developed) Data

198 views • 8 slides

Measuring & Improving Cache Performance

Measuring & Improving Cache Performance. measurement and analysis of cache performance look at two different techniques for improving cache performance: adding associativity to the cache to reduce the miss rate Use of multi-level caches to reduce the miss penalty.

1.33k views • 8 slides

Software Prefetching

213 views • 4 slides