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. 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 Here we focus on cache improvements to support at least 1 instruction fetch and at least 1 data access per cycle. With a superscalar, we might need to accommodate more than 1 per cycle. Typical server and .  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. 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. 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; . Table 4.1 . Key . Characteristics of Computer Memory Systems. . © 2016 Pearson Education, Inc., Hoboken, NJ. All rights reserved.. Characteristics of Memory Systems. Location. Refers to whether memory is internal and external to the computer. :. What is Cache Coherence?. When one Core writes to its own cache the other core gets to see it, when they read it out of its own cache.. Provides underlying guarantees for the programmer with respect to data validation.. Michael . Moeng. Sangyeun. Cho. Rami. . Melhem. University of Pittsburgh. Background. Architects simulating more cores. Increasing . simulation . times. Cannot keep doing single-threaded . simulations if we want to see results in a reasonable time frame. 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 . 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). Jayesh Gaur. 1. , . Mainak Chaudhuri. 2. , Sreenivas Subramoney. 1. 1. Intel Architecture Group,. Intel Corporation, Bangalore, India. 2. Department of Computer Science and Engineering,. Indian Institute of Technology Kanpur, India. The basic objective of a computer system is to increase the speed of computation. Likewise, the basic objective of a memory system is to provide fast, uninterrupted access by the processor to the memory such that, the processor can operate at its expected speed. .