PPT-Learning Cache Models by Measurements

Author : conchita-marotz | Published Date : 2016-06-01

Jan Reineke j oint work with Andreas Abel Uppsala University December 20 2012 The Timing Analysis Problem Embedded Software Timing Requirements Microarchitecture

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Learning Cache Models by Measurements: Transcript


Jan Reineke j oint work with Andreas Abel Uppsala University December 20 2012 The Timing Analysis Problem Embedded Software Timing Requirements Microarchitecture What does the execution time of a program depend on. Client sends HTTP request 2 Web Cache responds immediately if cached object is available 3 If object is not in cache W eb Cache requests object from Application Server 4 Application Server generates response may include Database queries 5 Applicatio 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  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. for 3D memory systems. CAMEO. 12/15/2014 MICRO. Cambridge, UK. Chiachen Chou, Georgia Tech. Aamer. . Jaleel. , Intel. Moinuddin. K. . Qureshi. , Georgia Tech. Executive Summary. How to use . S. tacked DRAM: Cache or Memory. S. Narravula, P. Balaji, K. Vaidyanathan, . S. Krishnamoorthy, J. Wu and D. K. Panda. The Ohio State University. Presentation Outline. Introduction/Motivation. Design and Implementation. Experimental Results. 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). Mark Gebhart. 1,2 . Stephen W. Keckler. 1,2. Brucek Khailany. 2. Ronny Krashinsky. 2. . William J. Dally. 2,3. 1. The University of Texas at Austin . 2. NVIDIA . 3. Stanford University. Methodology. using Per-Instruction Working Blocks. Jason Jong Kyu Park. 1. , . Yongjun. Park. 2. , and . Scott . Mahlke. 1. 1. 1. University . of . Michigan, . Ann . Arbor. 2. Hongik University. Inter-thread Interference. AMANO, Hideharu, Keio University. hunga@am. .. ics. .. keio. .. ac. .. jp. Textbook.  . pp.40-60. Cache memory. A small high speed memory for storing frequently accessed data/instructions.. T. Rogers, M O’Conner, and T. . Aamodt. MICRO 2012. Goal. Understand the relationship between schedulers (warp/wavefront) and locality behaviors . Distinguish between inter-wavefront and intra-wavefront locality. 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. 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. Ou Wang. Problem: . Can drifter velocity measurements improve circulation estimates by constraining coarse resolution climate-type models to drifter measurements?. Finding:. . Drifter velocity measurements can have a substantial impact on the ECCO large-scale time-mean surface circulation over extensive areas..

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