'Cache lines' presentation slideshows

Performance Optimization for the Origin 2000

Performance Optimization for the Origin 2000. http://www.cs.utk.edu/~mucci/MPPopt.html. Philip Mucci ( mucci@cs.utk.edu ) Kevin London ( london@cs.utk.edu ) University of Tennessee, Knoxville. Army Research Laboratory, Aug. 31 - Sep. 2. Outline. Introduction to Performance Optimization

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MEMORY OPTIMIZATION

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Cache Designs and Tricks

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External-Memory and Cache-Oblivious Algorithms: Theory and Experiments

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Application-Specific Signatures for Transactional Memory in Soft Processors

ECE Dept. University of Toronto. Application-Specific Signatures for Transactional Memory in Soft Processors. Martin Labrecque Mark Jeffrey Gregory Steffan. FPGA. Soft Processor. DDR controller. Ethernet MAC controllers. FPGAs for Systems-on-Chip. Increasingly large Systems-on-Chip

483 views • 39 slides

Memory Hierarchy

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CS6290 Caches

CS6290 Caches. Locality and Caches. Data Locality Temporal: if data item needed now, it is likely to be needed again in near future Spatial: if data item needed now, nearby data likely to be needed in near future Exploiting Locality: Caches

512 views • 34 slides

Computer Systems

Computer Systems. Cache characteristics. How do you know?. (ow133)cpuid This system has a Genuine Intel(R) Pentium(R) 4 processor Processor Family: F, Extended Family: 0, Model: 2, Stepping: 7 Pentium 4 core C1 (0.13 micron): core-speed 2 Ghz - 3.06 GHz (bus-speed 400/533 MHz)

434 views • 33 slides

Page Overlays An Enhanced Virtual Memory Framework to Enable Fine-grained Memory Management

Page Overlays An Enhanced Virtual Memory Framework to Enable Fine-grained Memory Management. Vivek Seshadri Gennady Pekhimenko , Olatunji Ruwase , Onur Mutlu, Phillip B. Gibbons, Michael A. Kozuch, Todd C. Mowry, Trishul Chilimbi. @CMU. Executive Summary. P. V. O.

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Towards a Theory of Cache-Efficient Algorithms

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Scheduling and Performance Issues for Programming using OpenMP

Scheduling and Performance Issues for Programming using OpenMP. Alan Real ISS, University of Leeds. Overview. Scheduling for worksharing constructs STATIC. GUIDED. RUNTIME. Performance. SCHEDULE clause. Gives control over which loop iterations are executed by which thread. Syntax:

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Practical Aspects of Modern Cryptography

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Gennady Pekhimenko Advisers: Todd C. Mowry & Onur Mutlu

Linearly Compressed Pages: A Main Memory Compression Framework with Low Complexity and Low Latency . Gennady Pekhimenko Advisers: Todd C. Mowry & Onur Mutlu. Executive Summary. Main memory is a limited shared resource Observation : Significant data redundancy

277 views • 18 slides

Dynamic Management Technique to Mitigate Performance Degradation for Low-Leakage Caches

Dynamic Management Technique to Mitigate Performance Degradation for Low-Leakage Caches. Reiko Komiya, Koji Inoue, Kazuaki Murakami Kyushu University. Outline. Introduction Leakage energy of cache memory Conventional low leakage cache : Cache decay Problem of cache decay approach

329 views • 18 slides

Code Compression

Code Compression. Motivations Data compression techniques Code compression options and methods Comparison. Motivations for Code Compression. Code storage is significant fraction of the cost of an embedded system ranging from 10% to 50%

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A Novel Cache Architecture with Enhanced Performance and Security

A Novel Cache Architecture with Enhanced Performance and Security. Zhenghong Wang and Ruby B. Lee. Introduction. Introduction Problems with current designs Attempts to mitigate information leakage Proposed Design Cache Miss Replacement Policy Address Decoder Results. Introduction.

553 views • 15 slides

Matrix Multiplication (i,j,k)

Matrix Multiplication (i,j,k). for I = 1 to n do for j = 1 to n do for k = 1 to n do C[i,j] = C[i,j] + A[i,k] x B[k,j] endfor endfor endfor. i. k. k. j. (i,j,k) Memory Map. i. x. =. j. Functional units. Main memory.

390 views • 15 slides

MonetDB : A column-oriented DBMS

MonetDB : A column-oriented DBMS. Ryan Johnson CSC2531. The memory wall has arrived. CPU performance +70%/year Memory performance latency: -50%/ decade bandwidth: +20%/year (est.) Why? DRAM focus on capacity (+70%/year) Physical limitations (pin counts, etc.)

465 views • 12 slides