PPT-RowClone Fast and Energy-Efficient In-DRAM Bulk Data Copy and Initialization

Author : delilah | Published Date : 2022-07-01

Y Kim C Fallin D Lee R Ausavarungnirun G Pekhimenko Y Luo O Mutlu P B Gibbons M A Kozuch T C Mowry Vivek Seshadri Executive Summary Bulk data copy

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RowClone Fast and Energy-Efficient In-DRAM Bulk Data Copy and Initialization: Transcript


Y Kim C Fallin D Lee R Ausavarungnirun G Pekhimenko Y Luo O Mutlu P B Gibbons M A Kozuch T C Mowry Vivek Seshadri Executive Summary Bulk data copy and initialization. FAWN. :. Workloads and Implications. Vijay . Vasudevan. , David Andersen, Michael . Kaminsky. *, Lawrence Tan, . Jason Franklin. , . Iulian. . Moraru. Carnegie Mellon University, *Intel Labs Pittsburgh. MICRO 2011 @ Porte . Alegre. , Brazil. Gabriel H. . Loh. [1] and Mark D. Hill [2][1]. December 2011. [1] AMD Research. [2] University of Wisconsin-Madison. Hill’s work largely performed. while on sabbatical at [1].. 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. Niladrish. . Chatterjee. Manjunath. . Shevgoor. Rajeev . Balasubramonian. Al Davis. Zhen Fang. ‡†. Ramesh . Illikkal. *. Ravi . Iyer. *. University of Utah , NVidia. ‡. and Intel Labs*. †. IN DRAM. Samira Khan. Donghyuk Lee. Onur Mutlu. PARBOR. DRAM. MEMORY IN TODAY’S SYSTEM. Processor. Memory. Storage. DRAM is a critical for performance. 2. MAIN MEMORY CAPACITY. Gigabytes of DRAM. Increasing demand . Oct 23, 2017. COMPUTER ARCHITECTURE . CS 6354. Emerging Memory Technologies. The content and concept of this course are adapted from CMU ECE 740. AGENDA. Logistics. Review . from last . lecture. Emerging Memory Technology . IN DRAM. Samira Khan. Donghyuk Lee. Onur Mutlu. PARBOR. DRAM. MEMORY IN TODAY’S SYSTEM. Processor. Memory. Storage. DRAM is a critical for performance. 2. MAIN MEMORY CAPACITY. Gigabytes of DRAM. Increasing demand . 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. FAWN. :. Workloads and Implications. Vijay . Vasudevan. , David Andersen, Michael . Kaminsky. *, Lawrence Tan, . Jason Franklin. , . Iulian. . Moraru. Carnegie Mellon University, *Intel Labs Pittsburgh. 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 . &. . Energy efficiency Data Protocol and Portal (. EeDaPP. ). &. Energy efficient Mortgage Market Implementation Plan (. EeMMIP. ). In the EU 2. 7. there are… . Bring Energy Efficiency to the EU buildings stock: . Shail Dave. 1. , . Youngbin. Kim. 2. , . Sasikanth. Avancha. 3,. Kyoungwoo. Lee. 2. , Aviral Shrivastava. 1. [1] Compiler Microarchitecture Lab, Arizona State University. [2] Department of Computer Science, Yonsei University. 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. Eva García-. Martín. . eva.garcia.martin@bth.se. Thesis. Make Machine Learning algorithms more energy efficient. Machine. . learning. Algorithms that automatically learn with experience. How can one learn from data and process evolving data in only one pass?.

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