PPT-Decoupled Dynamic Cache Segmentation

Author : natalia-silvester | Published Date : 2018-02-02

Samira M Khan Zhe Wang and Daniel A Jiménez The University of Texas at San Antonio 18th International Symposium on High Performance Computer Architecture 2012

Presentation Embed Code

Download Presentation

Download Presentation The PPT/PDF document "Decoupled Dynamic Cache Segmentation" is the property of its rightful owner. Permission is granted to download and print the materials on this website for personal, non-commercial use only, and to display it on your personal computer provided you do not modify the materials and that you retain all copyright notices contained in the materials. By downloading content from our website, you accept the terms of this agreement.

Decoupled Dynamic Cache Segmentation: Transcript


Samira M Khan Zhe Wang and Daniel A Jiménez The University of Texas at San Antonio 18th International Symposium on High Performance Computer Architecture 2012 Introduction Least Recently Used LRU replacement policy. The coupling is describ ed through a communication graph where each system is a node and the control action at each node is only function of its sta te and the states of its neighbors A distributed control desig method is presented which requires th The coupling is described thr ough communication graph wher each system is node and the contr ol action at each node is only function of its state and the states of its neighbors distrib uted contr ol design method is pr esented which equir es the s 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. Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial adv Characterizing Roles of Front-end Servers in . End. -to-. End. . Performance of Dynamic Content Distribution . 46842197. Li . ZHANG. 78884704 . . Dakuo WANG. 30165502 . . Xuejie. SUN. and . its usage . in . the real . world. Ivan . Chepurnyi. Owner. EcomDev. BV. About me. Meet Magento. Technical Consultant, Owner at EcomDev B.V.. Started as one of the first five developers in original Magento core team. 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. Lecture . 29. Memory. (6). Review. P2 . assigned. Exam 2 next . Friday. Demand paging. Page faults. TLB intro. Advantage of TLB. When does TLB offer an advantage. When most of the page numbers the process refers to is in the TLB. . + . Also Affiliated with NSF Center for High-Performance Reconfigurable Computing . This work was supported by National Science Foundation (NSF) grant CNS-0953447 . Tosiron Adegbija and Ann Gordon-Ross. document contains proprietary information of Conversant and may not be reproduced in any form or disclosed to any third party without the expressed written permission of a duly authorized representative from Conversant . René Vidal. Center for Imaging Science. Institute for Computational Medicine. Johns Hopkins University. Data segmentation and clustering. Given a set of points, separate them into multiple groups. Discriminative methods: learn boundary. Presented by: Nadjib BRAHIMI, PhD Equipe : Systèmes Logistiques et de Production Département d’automatique , Productique et Informatique Ecole des Mines de Nantes Integrated and Decoupled Models for the Production Routing Problem with Backlogging 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. S. Narravula, P. Balaji, K. Vaidyanathan, . H.-W. Jin and D. K. Panda. The Ohio State University. Presentation Outline. Introduction/Motivation. Design and Implementation. Experimental Results. Conclusions.

Download Document

Here is the link to download the presentation.
"Decoupled Dynamic Cache Segmentation"The content belongs to its owner. You may download and print it for personal use, without modification, and keep all copyright notices. By downloading, you agree to these terms.

Related Documents