PDF-ABSTRACTPractical cache replacement policies attempt to emulate optima

1We are viewing the RRIP chain like a. 65 W 065 W 065 W 065 W VerdiV 10 W 10 W 10 W 10 W VerdiV10 13 W 13 W 13 W 13 W Innova57518 310 W 0 W 0 W 0 W 0 W Sabre57518 1 W 1 W 1 W 1 W 1 W uning Range 00 to 0 nm 00 to 0 nm 00 to 0 nm 00 to 0 nm 00 to 1000 nm typial 0utoorrelation 1200 fs Replacement Using Re-Reference . Interval . Prediction (RRIP. ). Aamer Jaleel, Kevin B. Theobald. , . Simon C. Steely Jr. , Joel . Emer. Intel . Corporation. 1. / 20. The ACM IEEE International Symposium on Computer Architecture . 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?. Stefan . Podlipnig. , Laszlo . Boszormenyl. University Klagenfurt. ACM Computing Surveys, December 2003. Presenter: . Junghwan. Song. 2012.04.25. Outline. Introduction. Classification. Recency. -based. Objectives. After reviewing this training and successful passing of the quiz, you will be able to:. Understand your responsibilities in maintaining a culture of compliance in the workplace. Learn where compliance policies and documents are located for easy reference. Samira Khan . March 23, 2017. Agenda. Review from last lecture. Data flow model. Memory hierarchy. More Caches. The Dataflow Model (of a Computer). Von Neumann model: An instruction is fetched and executed in . Defending . Against Cache-Based Side Channel . Attacks. Mengjia. Yan, . Bhargava. . Gopireddy. , Thomas Shull, . Josep Torrellas. University of Illinois at Urbana-Champaign. http://. iacoma.cs.uiuc.edu. After reviewing this training and successful passing of the quiz, you will be able to:. Understand your responsibilities in maintaining a culture of compliance in the workplace. Learn where compliance policies and documents are located for easy reference. 2015. NATIONAL INTERAGENCY SUPPORT CACHE . PRESENTATION. The National Interagency Support Cache System is made up of 15 caches in strategic locations throughout the United States. Ft. Wainwright, AK; Boise, ID; Missoula, MT; Redmond, OR; Redding, CA; Ontario, CA; Denver, CO; Prescott, AZ; Silver City, NM; London, KY; Grand Rapids, MN; LaGrande, OR; Wenatchee, WA; Billings, MT & Coeur d’ Alene, ID. The caches are operated under the direction of federal and state agencies, including the US Forest Service; Bureau of Land Management and various states including Alaska, Minnesota and Idaho.. March 28, 2017. Agenda. Review from last lecture. Cache access. Associativity. Replacement. Cache Performance. Cache Abstraction and Metrics. Cache hit rate = (# hits) / (# hits # misses) = (# hits) / (# accesses). Agenda. Review from last lecture. Data flow model. Memory hierarchy. More Caches. The Dataflow Model (of a Computer). Von Neumann model: An instruction is fetched and executed in . control flow order . Virtual Memory Use main memory as a “cache” for secondary (disk) storage Managed jointly by CPU hardware and the operating system (OS) Programs share main memory Each gets a private virtual address space holding its frequently used code and data A Framework for Evaluating Caching Policies in a Hierarchical Network of Caches Eman Ramadan, Pariya Babaie , Zhi -Li Zhang Presented By: Arvind Narayanan University of Minnesota, USA 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.