PPT-DCIM: Distributed Cache

Invalidation Method Authors Kassem Fawaz and Hassan Artail Alex Buchholz CS 6204 April 25 th 2013 Presentation Overview Paper overview Main conceptsdefinitions Related Works. 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. . Why Aren’t You Using DCIM?: Exploration of the Pros and Cons of DCIM. . Presenter: Paul Goodison, CEO. Cormant, Inc.. Session TRD 4. . Why Aren’t You Using DCIM?: Exploration of the Pros and Cons of DCIM. 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. ENCODER. EEL 6935 Embedded Systems. Long Presentation 2. Group Member: Qin Chen, Xiang Mao. ECE@UFL. 4/2/2010. 1. Outline. Design goals and challenges. Video encoding basics. Memory/cache optimization. with Inclusive Caches . Temporal Locality Aware (TLA) Cache Management Policies. Aamer Jaleel, Eric Borch, Malini Bhandaru,. Simon Steely Jr., Joel Emer. In International Symposium on Microarchitecture (MICRO). Varun. . Mathur. Mingwei. Liu. 1. I-cache and address tag . Instruction cache has. Large chip area. High access frequency=>switching power. Example:. Direct mapped I-cache. 1024 entries (=>1024 one way sets). 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. 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. 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 . 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. . Panelists:. DataLink. : . Irwin Teodoro. , National Practice Director. Parallel Technologies: . Tim Kittila. , PE, Business Unit Director. Server Farm: . David Eastman. , VP of . In Command . Services. Steve Peschka. Sr. Principal Architect. Microsoft . Corporation. There is a new distributed cache service in SharePoint 2013 based on Windows Server . AppFabric. Distributed Caching. It is used in features like authentication token caching and My Site social feeds. 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. Side channel attacks and defenses. Presented by:. Kazi. . Mejbaul. Islam. Introduction and Background. Microarchitecture. Cache hierarchy. Side channels in microarchitecture. Threats in parallel and distributed systems.