PPT-Supporting Strong Cache Coherency for Active Caches in Mult

S Narravula P Balaji K Vaidyanathan S Krishnamoorthy J Wu and D K Panda The Ohio State University Presentation Outline IntroductionMotivation Design and Implementation Experimental Results. Message Passing Sharedmemory single copy of shared data in memory threads communicate by readingwriting to a shared location Messagepassing each thread has a copy of data in its own private memory that other threads cannot access threads communicate 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. 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). Community-Maintained Resources. Community Maintained Resources. Participants are responsible for generating content and administering the site. Can be games, information resources, repositories. Examples:. Adwait Jog. †. , . Asit K. Mishra‡, Cong Xu†, Yuan Xie†, N. Vijaykrishnan†, Ravi Iyer‡, Chita R. Das†. †. The Pennsylvania State University . ECE . 751. Brian Coutinho. ,. David Schlais. ,. Gokul Ravi. &. Keshav . Mathur . Summary. Fact. : Accelerators gaining popularity - to improve performance and energy efficiency. Problem. : Accelerators with scratchpads require DMA calls to satisfy memory requests (among other overheads). Cache overview. 4 Hierarchy questions. More on Locality. Please bring these slides to the next lecture!. Projects 2 and 3. Regrade. issues for 3. Please resubmit and come to office hours with a diff.. Hakim Weatherspoon. CS 3410, Spring 2013. Computer Science. Cornell University. P & H Chapter . 5.2-3, 5.5. Goals for Today: caches. Writing . to the Cache. Write-through . vs. Write-back. Cache Parameter Tradeoffs. CS 3410, Spring 2011. Computer Science. Cornell University. See P&H . 5.2 (writes), 5.3, 5.5. Announcements. HW3 available due . next. Tuesday . HW3 has been updated. . Use updated version.. Work with . Theoretical Analysis. . Motivation. . Challenges. Learning Caching Policies with Subsampling . Haonan. Wang, Hao He, Mohammad Alizadeh, Hongzi Mao. . MIT Computer Science and Artificial Intelligence Laboratory. Placement and Management. Andreas . Moshovos. University of Toronto/ECE. Short Course, University . of Zaragoza, . July 2009. Most slides are based on or directly taken from material and slides by the original paper authors. Keshav . Harisrikanth. , . Srijan. Chakraborty, Sean Ngo. Architecture Concepts. Instruction Set Architecture (ISA). Performance, Energy, Power. Memory Hierarchy. Caches. Virtual Memory (VM). Pipelines and Hazards.