PPT-Leveraging Heterogeneity in DRAM Main Memories to Accelerat

Author : cheryl-pisano | Published Date : 2015-10-13

Niladrish Chatterjee Manjunath Shevgoor Rajeev Balasubramonian Al Davis Zhen Fang Ramesh Illikkal Ravi Iyer University of Utah NVidia and Intel Labs

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Leveraging Heterogeneity in DRAM Main Memories to Accelerat: Transcript

Niladrish Chatterjee Manjunath Shevgoor Rajeev Balasubramonian Al Davis Zhen Fang Ramesh Illikkal Ravi Iyer University of Utah NVidia and Intel Labs . 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. 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. Supervisor: Dr. Doug King. Niloofar. . Alavi. Background: Biodiversity and Habitat . H. eterogeneity. Biodiversity:. . T. he . variability among living organisms from all sources including, terrestrial, marine and other aquatic ecosystems and the ecological complexes of which they are part . 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. Montek Singh. Oct 24, . 2016. Topics. Previous lecture on memories:. Read-Only Memories (ROMs). Static. Random-Access. . Memory (SRAM). Today:. Dynamic. Random. -Access . Memory (DRAM). 2. Dynamic . Finding Where We Fit. Can never forget the reason for our work and zeal. Mt. 28:19-20; Mk. 16:15-16. . Jn. 3:16-17; 2 Pet. 3:9; . Lk. . 15:7, 10. Leveraging Our Strengths. Finding Where We Fit. We all are given talents that we are expected to use. 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. 2014. 9/30/2014. © 2014 DE DIOS & ASSOCIATES. ALL RIGHTS RESERVED. Reproduction prohibited without prior permission.. 1. Strange situation: demand is weakening while supply remains tight. Weakening PC-DRAM demand and supply mix issues in 2H14. 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 . 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.

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