PPT-Cache

Memory and Performance Many of the following slides are taken with permission from Complete Powerpoint Lecture Notes for Computer Systems A Programmers Perspective CSAPP Randal E Bryant. George Kurian. 1. , Omer Khan. 2. , . Srini. . Devadas. 1. 1 . Massachusetts Institute of Technology. 2 . University of Connecticut, Storrs. 1. Cache Hierarchy Organization. Directory-Based Coherence. 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. Hardware Accelerators. Yakun. Sophia Shao, Sam Xi,. Viji. . Srinivasan. , . Gu-Yeon. Wei, David Brooks. More accelerators.. Out-of-Core. Accelerators. Maltiel. Consulting . estimates. 2. [Die photo from . 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. 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. 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?. 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. Matthew D. . Sinclair et. al. UIUC. Presenting by. Sharmila. . Shridhar. SoCs. Need an . Efficient Memory Hierarchy. 2. Energy-efficient memory hierarchy is . essential. Heterogeneous . SoCs. use . Yuval Yarom. The University of Adelaide and Data61. “The . binary search needs to be done in constant time to avoid timing issue. But it's fast, so there's no problem. .” . An anonymous reviewer, . Abstract. This paper proposes distributed cache invalidation mechanism (DCIM), a client-based cache consistency scheme that is implemented on top of a previously proposed architecture for caching data items in mobile ad hoc networks (MANETs), namely COACS, where special nodes cache the queries and the addresses of the nodes that store the responses to these queries. . 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. 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 . 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.