'Cache performance' diaporamas de présentation

Chapter 7 Memory Hierarchy

Chapter 7 Memory Hierarchy. Outline. Technology Trends. Processor Memory Latency Gap. Time of a full cache miss in instructions executed 1st Alpha: 340 ns/5.0 ns = 68 clks x 2 (136 instr.) 2nd Alpha: 266 ns/3.3 ns = 80 clks x 4 (320 instr.)

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Principle of Locality: Memory Hierarchies

Principle of Locality: Memory Hierarchies. Text and data are not accessed randomly Temporal locality Recently accessed items will be accessed in the near future (e.g., code in loops, top of stack) Spatial locality

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Instructor: Justin Hsia

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Cache & Concurrency considerations for a high performance Cassandra

SriSatish Ambati Performance, Riptano, Cassandra Azul Systems & OpenJDK Twitter: @srisatish srisatish.ambati@gmail.com. Cache & Concurrency considerations for a high performance Cassandra. Trail ahead. Elements of Cache Performance Metrics, Monitors JVM goes to BigData Land! Examples

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2K papers on caches by Y2K: Do we need more?

2K papers on caches by Y2K: Do we need more?. Jean-Loup Baer Dept. of Computer Science & Engineering University of Washington. A little bit of history. The Y0K problem. A little bit of history. The Y0K problem The Y1K problem. A little bit of history. The Y0K problem The Y1K problem

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Instruction Based Memory Distance Analysis and its Application to Optimization

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Cache-Conscious Data Placement

Cache-Conscious Data Placement. Adapted from CS 612 talk by Amy M. Henning. What is Cache-Conscious Data Placement?. Software-based technique to improve data cache performance by relocating variables in the cache and virtual memory space. Goals: Increase spatial locality.

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Presentation of Group 9 W ong S uet -F ai N ewman Chau Man-Hau Dee

Cache Conscious Algorithms for Relational Query Processing by Ambuj Shatdal, Chander Kant, Jeffrey F. Naughton. Presentation of Group 9 W ong S uet -F ai N ewman Chau Man-Hau Dee. Introduction. Why cache performance is so important: The performance gap between the processor and memory .

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Effective Non-Blocking Cache Architecture for High-Performance Texture Mapping

Effective Non-Blocking Cache Architecture for High-Performance Texture Mapping. Dukki Hong 1 Youngduke Seo 1 Youngsik Kim 2 Kwon- Taek Kwon 3 Sang-Oak Woo 3 Seok -Yoon Jung 3 Kyoungwoo Lee 4 Woo-Chan Park 1 1 Media Processor Lab., Sejong University 2 Korea Polytechnic University

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Caching II

Caching II. Andreas Klappenecker CPSC321 Computer Architecture. Verilog Questions & Answers. Verilog Q & A. How is the xor instruction encoded? R-format instruction, function field Ox26 See [PH] page A-59 What is the purpose of Idealmem.v? It models the memory

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Sudipta Chattopadhyay Lee Kee Chong Abhik Roychoudhury

Program Performance Spectrum. Sudipta Chattopadhyay Lee Kee Chong Abhik Roychoudhury. Insight. i = 0; while (i++ < 100) { if (x - y < 5) //low performance else //high performance } . x = 10, y = 8. x = 100, y = 1. x,y are inputs.

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High-Performance Computer Architecture

High-Performance Computer Architecture . Memory Organization Chapter 5 from Quantitative Architecture January 2006. Basic Ideas -- Locality. Instructions and data exhibit both spatial and temporal locality

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COSC 4349 and 5349 Computer Architecture

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A Data Cache with Dynamic Mapping

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CS 213 Introduction to Computer Systems Course Organization Todd C. Mowry January 18, 2000

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Caching in multiprocessor systems

Caching in multiprocessor systems. Tiina Niklander In AMICT 2009, Petrozavodsk 19.5.2009. Background. More transistors on one chip Multiple cores Larger cache Multiple on chip caches More functionality (more functional units, dedicated multimedia / deciphering cell, integrated GPU)

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HOCT: A Highly Scalable Algorithm for Training Linear CRF on Modern Hardware

HOCT: A Highly Scalable Algorithm for Training Linear CRF on Modern Hardware. presented by Tianyuan Chen. Introduction. Conditional random fields (CRFs) are probabilistic models for segmenting and labeling sequential data. They offer many advantages over other models.

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Cache Basics (Section 1.7, 5.1)

Cache Basics (Section 1.7, 5.1). A cache is a small, fast memory located close to the CPU that holds the most recently accessed code or data A block is a fixed-size collection of data containing the requested word, that is retrieved from the memory

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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.

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Computer Architecture

Computer Architecture. We will use a quantitative approach to analyze architectures and potential improvements and see how well they work (if at all) We study RISC instruction sets to promote instruction-level, block-level and thread-level parallelism

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