PDF-The Cache Coherency Challenge
Author : tawny-fly | Published Date : 2016-03-07
Today146s most popular mobile devices rely on multiple processors such as the ARM Cortex 153 A15 to satisfy consumer demand for high performance and respon siveness
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The Cache Coherency Challenge: Transcript
Today146s most popular mobile devices rely on multiple processors such as the ARM Cortex 153 A15 to satisfy consumer demand for high performance and respon siveness But a softwarebased. Autumn 2006 CSE P548 Cache Coherence 6 A Lowend MP brPage 4br Autumn 2006 CSE P548 Cache Coherence 7 Cache Coherency Prot ocol Implementations Snooping used with lowend MPs few processors centralized memory busbased distributed implementation 1 1 CS448 2 What is Cache Coherence? • Two processors can have two different values for the same memory location Write Through Cache 2 3 Terminology • Coherence – Defines what va Stefan . Schackow. Program Manager. Microsoft Corporation. PC41. What's the current state?. Why is it changing?. How are we changing it?. .NET Framework Caching. A great in-memory object cache in ASP.NET. Hakim Weatherspoon. CS 3410, Spring 2013. Computer Science. Cornell University. P&H Chapter . 2.11 and 5.8. Big Picture: Parallelism and Synchronization. How do I take advantage of multiple processors; . 1. Øyvind Andreassen. 2,3. Helwig Hauser. 1. Integrated Multi-aspect Visualization of 3D Fluid Flows. 1. University of Bergen, Norway. 2. . Norwegian Defence Research Establishment, Norway. 3. University Graduate Center at Kjeller, Norway. UC Berkeley Seismological Laboratory. Towards Optimal Design of Seismic Array For Earthquake Source Imaging . Pablo . Ampuero. Caltech . Seismo. Lab. Yellow Knife Array. (. Rost. & Thomas ,2002). CS448. 2. What is Cache Coherence?. Two processors can have two different values for the same memory location. Write Through Cache. 3. Terminology. Coherence. Defines what values can be returned by a read. with Inclusive Caches . Temporal Locality Aware (TLA) Cache Management Policies. Aamer Jaleel, Eric Borch, Malini Bhandaru,. Simon Steely Jr., Joel Emer. In International Symposium on Microarchitecture (MICRO). Smruti R. Sarangi, IIT Delhi. Contents. Overview of the Directory Protocol. Details. Optimizations. Basic Idea of a Coherence Protocol. Memory Level . n. Memory Level . n+2. Private Cache. Private Cache. Smruti R. Sarangi, IIT Delhi. Contents. Overview of the Directory Protocol. Details. Optimizations. Basic Idea of a Coherence Protocol. Memory Level . n. Memory Level . n+2. Private Cache. Private Cache. Lecture for CPSC 5155. Edward Bosworth, Ph.D.. Computer Science Department. Columbus State University. The Simple View of Memory. The simplest view of memory is . that presented . at the ISA (Instruction Set Architecture) level. At this level, memory is a . With a superscalar, we might need to accommodate more than 1 per cycle. Typical server and . m. obile device. memory hierarchy. c. onfiguration with. b. asic sizes and. access times. PCs and laptops will. Direct-mapped caches. Set-associative caches. Impact of caches on performance. CS 105. Tour of the Black Holes of Computing. Cache Memories. C. ache memories . are small, fast SRAM-based memories managed automatically in hardware. TLC: A Tag-less Cache for reducing dynamic first level Cache Energy Presented by Rohit Reddy Takkala Introduction First level caches are performance critical and are therefore optimized for speed. Modern processors reduce the miss ratio by using set-associative caches and optimize latency by reading all ways in parallel with the TLB(Translation Lookaside Buffer) and tag lookup.
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