PDF-Rethinking DRAM Design and Organization for EnergyConstrained MultiCores Aniruddha N
Author : liane-varnes | Published Date : 2015-01-18
Udipi University of Utah Salt Lake City UT udipicsutahedu Naveen Muralimanohar HewlettPackard Laboratories Palo Alto CA naveenmuralihpcom Niladrish Chatterjee University
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Rethinking DRAM Design and Organization for EnergyConstrained MultiCores Aniruddha N: Transcript
Udipi University of Utah Salt Lake City UT udipicsutahedu Naveen Muralimanohar HewlettPackard Laboratories Palo Alto CA naveenmuralihpcom Niladrish Chatterjee University of Utah Salt Lake City UT nilcsutahedu Rajeev Balasubramonian University of Uta. by Parallelizing Refreshes. with Accesses. Donghyuk. Lee, . Zeshan. . Chishti. , . Alaa. . Alameldeen. , Chris Wilkerson, . Yoongu. Kim, . Onur. . Mutlu. Kevin Chang. Executive Summary. DRAM . refresh interferes with memory accesses. Bank Privatization for Predictability and Temporal Isolation. Sungjun. . Kim . Columbia . University. Edward A. Lee . UC . Berkeley . Isaac . Liu . UC Berkeley. Hiren. D. Patel University of Waterloo. in . Early . Literacy Instruction . Rick Chan Frey. University of California, Berkeley. rick@mustardseedbooks.org. . Rethinking the Role of Decodable Texts. My focus: what kind of texts work best to help students learn to read—hard to study. Jaewoong. . Sim. *, Gabriel H. Loh. +. , Vilas Sridharan. #. , Mike O’Connor. +. June . 2013 . *Georgia Tech. +. AMD Research. #. AMD RAS Architecture. Die-stacked Memory. Die-stacking is coming along, esp. DRAM. In-DRAM Address Translation to Improve the Spatial Locality of Non-unit Strided Accesses. Vivek Seshadri. Thomas Mullins, . Amirali. . Boroumand. , Onur Mutlu, . Phillip B. . Gibbons, Michael A. Kozuch, . 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. DRAM Scaling. Prof. Onur Mutlu. http://www.ece.cmu.edu/~omutlu. onur@cmu.edu. HiPEAC. ACACES Summer School 2013. July 15-19, . 2013. The Main Memory System. Main memory is a critical component of all computing systems. ___________________________________________________________. Kyle Rheiner, Insurance Producer. Strickler Insurance Agency, Lebanon PA. www.CraftBrewingInsurance.com. Acknowledgement . __________________________________________________________. 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. Access Locality. Hasan Hassan,. Gennady . Pekhimenko. , . Nandita Vijaykumar, . Vivek. . Seshadri. , Donghyuk Lee, Oguz Ergin, . Onur. . Mutlu. Executive Summary. Goal. : . Reduce average DRAM access latency with no modification to the existing DRAM chips. Vinson Young. Prashant Nair. Moinuddin Qureshi. 1. MOORE’s LAW HITS BANDWIDTH WALL. 2. Moore’s scaling encounters Bandwidth Wall. 3D-DRAM MITIGATES BANDWIDTH WALL. 3. 3D-DRAM. Hybrid Memory Cube (HMC) from Micron, . Xiangyao. Yu. 1. , Christopher Hughes. 2. , . Nadathur. Satish. 2. , . Onur. Mutlu. 3. , Srinivas . Devadas. 1. 1. MIT . 2 . Intel Labs . 3. ETH Zürich. Motivation. In-package DRAM has . Easing Restrictions on Home-Based Businesses. Updating HBB regulations became more pressing in the early 2000s as the Internet changed how businesses operated and created new professions. . Few owns comprehensively updated their HBB regulations, which can burden new start-ups and limit business flexibility..
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