PPT-Amoeba-Cache Adaptive Blocks for

Eliminating Waste in the Memory Hierarchy Snehasish Kumar Arrvindh Shriraman Eric Matthews Lesley Shannon Hongzhou Zhao Sandhya Dwarkadas Fixed granularity cache organisation Tag Array. Structure and Life. Amoeba are animal like . Protists. Animal like . protists. are called . Protozoa. Protozoans. are classed by their method of locomotion. Amoeba are . protozoans. with a . pseudopod. 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. J. . Zebchuk. , E. Safi, and A. . Moshovos. Introduction. On-Chip caches will continue to grow. To compensate for limited off-chip bandwidth. On-Chip Area and Power consumption are the limiting factors. for . Programs. Daniel Crowell, . Wenbin. Fang, and Evan . Samanas. Summary. A flexible framework for microarchitecture . adaptivity. , which separates software policies from hardware mechanism. C. ase study: adaptive cache. Today’s topic. Cache performance assessment. Associative caches. Reminder. HW8 due next Friday 11/21/2014. HW9 . due Wednesday 12/03/2014. Grades so far. http://eecs.wsu.edu/~hassan/cs260/hws/CS260_Grades.pdf. Exploiting . Spatial Locality . for Energy-Optimized . Compressed Caching. Somayeh. . Sardashti. and . David . A. . Wood. University . of Wisconsin-Madison. 1. 2. 3. Where does energy go?. Communication vs. Computation. 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. Exploiting . Spatial Locality . for Energy-Optimized . Compressed Caching. Somayeh. . Sardashti. and . David . A. . Wood. University . of Wisconsin-Madison. 1. 2. 3. Where does energy go?. Communication vs. Computation. Prefetcher. -. Caused Pollution Using Informed Caching Policies for Prefetched Blocks. Vivek Seshadri. Samihan. . Yedkar. . ∙. . Hongyi. . Xin. . ∙. . Onur. . Mutlu. Phillip B. Gibbons. . Instructor:. . Mark Wyse. Teaching Assistants:. Kevin Bi. Parker . DeWilde. Emily . Furst. Sarah House. Waylon Huang. Vinny . Palaniappan. Administrative. Lab 3 due . Friday . (2/16). Homework 4 released today (Structs, Caches). Cache Memory and Performance Many of the following slides are taken with permission from Complete Powerpoint Lecture Notes for Computer Systems: A Programmer's Perspective (CS:APP) Randal E. Bryant 2018. Instructor:. . Justin Hsia. Teaching Assistants:. Akshat. Aggarwal. An Wang. Andrew Hu. Brian Dai. Britt Henderson. James Shin. Kevin Bi. Kory Watson. Riley . Germundson. Sophie Tian. Teagan . Aditya Shah. Recitation 7: Oct . 8. th. , 2015. Welcome to the World of Pointers !. Outline. Schedule. Memory . organization. Caching. Different . types of locality. Cache organization. Cache lab. Part (a) Building Cache Simulator. Snehasish. Kumar, . Hongzhou. Zhao†, . Arrvindh. . Shriraman. Eric Matthews∗, Sandhya . Dwarkadas. †, Lesley Shannon∗. School of Computing Sciences, Simon Fraser University. †Department of Computer Science, University of Rochester.