'Miss ratio' presentation slideshows

Memory Hierarchy

Memory Hierarchy. Lecture notes from MKP, H. H. Lee and S. Yalamanchili. Reading. Sections 5.2, 5.3, 5.9. W. o. r. d. l. i. n. e. P. a. s. s. t. r. a. n. s. i. s. t. o. r. B. i. t. l. i. n. e. B. i. t. l. i. n. e bar. W. o. r. d. l. i. n. e. P. a.

1.08k views • 79 slides

An Experimental Comparison of Empirical and Model-based Optimization

An Experimental Comparison of Empirical and Model-based Optimization. Keshav Pingali Cornell University Joint work with: Kamen Yotov 2 ,Xiaoming Li 1 , Gang Ren 1 , Michael Cibulskis 1 , Gerald DeJong 1 , Maria Garzaran 1 , David Padua 1 , Paul Stodghill 2 , Peng Wu 3

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Feedback Control Real-Time Scheduling

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CPU Cache Prefetching Timing Evaluations of Hardware Implementation

ECE7995 : Presentation. CPU Cache Prefetching Timing Evaluations of Hardware Implementation. Ravikiran Channagire & Ramandeep Buttar. TOPICS. Introduction Previous research and issues in it. Architectural Model Processor, Cache, Buffer, Memory bus, Main Memory etc. Methodology

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Cache Models and Program Transformations

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Cache Models and Program Transformations

Cache Models and Program Transformations. Goal of lecture. Develop abstractions of real caches for understanding program performance Study the cache performance of matrix-vector multiplication (MVM) simple but important computational science kernel

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Chapter Seven

Chapter Seven. Memories: Review. SRAM: value is stored on a pair of inverting gates very fast but takes up more space than DRAM (4 to 6 transistors) DRAM: value is stored as a charge on capacitor (must be refreshed) very small but slower than SRAM (factor of 5 to 10).

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CS 612: Software Design for High-performance Architectures

CS 612: Software Design for High-performance Architectures. Administration. Instructor: Keshav Pingali 457 Rhodes Hall pingali@cs.cornell.edu TA: Milind Kulkarni 490 Rhodes Hall milind@cs.cornell.edu. Course content.

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Optimizing MMM & ATLAS Library Generator

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Optimizing MMM & ATLAS Library Generator

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Chapter Seven Large and Fast: Exploiting Memory Hierarchy

Chapter Seven Large and Fast: Exploiting Memory Hierarchy. Memories: Review. SRAM: value is stored on a pair of inverting gates very fast but takes up more space than DRAM (4 to 6 transistors) DRAM: value is stored as a charge on capacitor (must be refreshed)

346 views • 33 slides

CS 380C: Advanced Topics in Compilers

CS 380C: Advanced Topics in Compilers. Administration. Instructor: Keshav Pingali Professor (CS, ICES) ACES 4.126A pingali@cs.utexas.edu TA: Zubair Malik Graduate student (ECE) ACES 5.132D zubair.malik@gmail.com. Meeting times. Lecture: MW 12:30-2:00PM, ENS 126 Office hours:

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CS 380C: Advanced Compiler Techniques

CS 380C: Advanced Compiler Techniques. Administration. Instructor: Keshav Pingali Professor (CS, ICES) ACES 4.126A pingali@cs.utexas.edu Co-instructor: Martin Burtscher Research scientist (ICES) ACES 4.124 burtscher@ices.utexas.edu TA: Suriya Subramanian Graduate student (CS)

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CS 380C: Advanced Topics in Compilers

CS 380C: Advanced Topics in Compilers. Administration. Instructor: Keshav Pingali Professor (CS, ICES) ACES 4.126A pingali@cs.utexas.edu TA: Muhammed Zubair Malik Graduate student (ECE) zubair.malik@gmail.com. Meeting times. Lecture: MW 12:30-2:00PM, ENS 126 Office hours:

404 views • 26 slides

Data Locality

403 views • 26 slides

Memories: Review

Memories: Review. SRAM: value is stored on a pair of inverting gates very fast but takes up more space than DRAM (4 to 6 transistors) DRAM: value is stored as a charge on capacitor (must be refreshed) very small but slower than SRAM (factor of 5 to 10). Exploiting Memory Hierarchy.

581 views • 23 slides

Cache Parameters

Cache Parameters. Cache size : S cache (lines) Set number: N (sets) Line number per set: K (lines/set) S cache = KN (lines) = KN * L (bytes) ? Here L is line size in bytes K-way set-associative. Trade-offs in Set-Associativity. Fully-associative:

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Non Redundant Data Cache

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Locality

Locality. A principle that makes having a memory hierarchy a good idea If an item is referenced, temporal locality: it will tend to be referenced again soon spatial locality: nearby items will tend to be referenced soon. Why does code have locality?

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A8 MIPS vs A8 Clock Sweep Simulation

A8 MIPS vs A8 Clock Sweep Simulation. May 2011. A8 MIPS vs A8 clk sweep (L2 hit ratio of ~ 85%). 32bit mem, no competitive load. 16bit mem, no competitive load. L1 inst miss ratio = 0.004 L1 load miss ratio = 0.003 L1 store miss ratio = 0.003 L1 eviction ratio = 0.5976.

152 views • 4 slides