PDF-PDRAM A Hybrid PRAM and DRAM Main Memory System Gaurav Dhiman gdhimancs
Author : marina-yarberry | Published Date : 2015-01-19
ucsdedu Raid Ayoub rayoubcsucsdedu Tajana Rosing tajanaucsdedu Department of Computer Science andEngineering Universityof California San Diego LaJolla CA920930404
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PDRAM A Hybrid PRAM and DRAM Main Memory System Gaurav Dhiman gdhimancs: Transcript
ucsdedu Raid Ayoub rayoubcsucsdedu Tajana Rosing tajanaucsdedu Department of Computer Science andEngineering Universityof California San Diego LaJolla CA920930404 ABSTRACT In this paper we propose PDRAM a novel energy ef64257cient main memory archite. Avg Access Time 2 Tokens Number of Controllers Average Access Time clock cyles brPage 16br Number of Tokens vs Avg Access Time 9 Controllers Number of Tokens Average Access Time clock cycles brPage 17br brPage 18br Niladrish. . Chatterjee. Manjunath. . Shevgoor. Rajeev . Balasubramonian. Al Davis. Zhen Fang. ‡†. Ramesh . Illikkal. *. Ravi . Iyer. *. University of Utah , NVidia. ‡. and Intel Labs*. †. Ph.D. Thesis Proposal. Kshitij Sudan. Thesis Statement. Improving DRAM access latency, power consumption, and capacity by leveraging intelligent data placement.. Overview. CPU. MC. DIMM. …. Too Easy? or Too difficult?. Uzi Vishkin. . Using Simple Abstraction to Reinvent Computing for Parallelism, CACM, January 2011, pp. 75-85. . http://www.umiacs.umd.edu/users/vishkin/XMT/. Commodity computer systems. Niladrish. . Chatterjee. Manjunath. . Shevgoor. Rajeev . Balasubramonian. Al Davis. Zhen Fang. ‡†. Ramesh . Illikkal. *. Ravi . Iyer. *. University of Utah , NVidia. ‡. and Intel Labs*. †. Kshitij. Sudan. , . Niladrish. . Chatterjee. , David . Nellans. , Manu . Awasthi. , Rajeev . Balasubramonian. , Al Davis. School of Computing, University of Utah. ASPLOS-2010. DRAM Memory Constraints. 2. . Turing machine. . RAM (. Figure . ). . Logic circuit model. . RAM . (Random Access Machine). Operations . supposed to be executed in one unit time. (1). . Control operations such as. Sathish. . Vadhiyar. PRAM Model - Introduction. Parallel Random Access Machine. Allows parallel-algorithm designers to treat processing power as unlimited. Ignores complexity of inter-process communication. Sep 17, 2017. COMPUTER ARCHITECTURE . CS 6354. Main Memory. The content and concept of this course are adapted from CMU ECE 740. AGENDA. Logistics. Review . from last . lecture. Main Memory. 2. LOGISTICS. by Exploiting the Variation in Local . Bitlines. . Jeremie S. Kim. . Minesh. Patel . Hasan Hassan . Onur. . Mutlu. . Motivation. : DRAM latency is a . major performance bottleneck. Problem. Prof. Onur Mutlu. Carnegie Mellon University. Main Memory Lectures. These slides are . from the . Scalable . Memory Systems. course . taught at . ACACES . 2013 (July 15-19, 2013). Course Website:. http. Vivek Seshadri. Thomas Mullins, . Amirali. . Boroumand. , Onur Mutlu, . Phillip B. . Gibbons, Michael A. Kozuch, . Todd C. Mowry. Executive summary. Problem: Non-unit . strided. accesses. Present in many applications. Lecture 7: Emerging Memory Technologies. Prof. . Onur. . Mutlu. Carnegie Mellon University. 9/21/2012. Reminder: Review Assignments. Due: Friday, September 21, 11:59pm.. Smith, “. Architecture and applications of the HEP multiprocessor computer system.
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