PPT-Leveraging Heterogeneity in DRAM Main Memories to Accelerat

Author : tawny-fly | Published Date : 2016-10-31

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 . Caching Compiler Choices int x32512 forj 0 j 512 j fori 0 i 32 i xij 2xij1 int x32512 fori 0 i 32 i forj 0 j 512 j xij 2xij1 brPage 14br Caches and Consistency IO using caches Interferes with CPU may throw useful blocks IO using main m Niladrish. . Chatterjee. Manjunath. . Shevgoor. Rajeev . Balasubramonian. Al Davis. Zhen Fang. ‡†. Ramesh . Illikkal. *. Ravi . Iyer. *. University of Utah , NVidia. ‡. and Intel Labs*. †. Tim Dennis – Solution Consultant, QAD. 2. The following is intended to outline QAD’s general product direction. It is intended for information purposes only, and may not be incorporated into any contract. It is not a commitment to deliver any material, code, functional capabilities, and should not be relied upon in making purchasing decisions. The development, release, and timing of any features or functional capabilities described for QAD’s products remains at the sole discretion of QAD.. Kshitij. Sudan. , . Niladrish. . Chatterjee. , David . Nellans. , Manu . Awasthi. , Rajeev . Balasubramonian. , Al Davis. School of Computing, University of Utah. ASPLOS-2010. DRAM Memory Constraints. Emma Mead. Methodologist at the . Cochrane Skin . Group, University of Nottingham. Research associate and PhD student, Teesside University. Email: . Emma.Mead@nottingham.ac.uk. Dr . Ben . Carter. Statistics Editor for the Cochrane Skin Group, . 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. . Donghyuk Lee. Lavanya. . Subramanian, . Rachata. . Ausavarungnirun. , . Jongmoo. Choi. , . Onur. . Mutlu. Decoupled Direct Memory Access. processor. Logical System Organization. m. ain memory. 2014. 11/21/2014. © 2014 DE DIOS & ASSOCIATES. ALL RIGHTS RESERVED. Reproduction prohibited without prior permission.. 1. DRAM market entering a new phase – a more “normal” market – in 2015. 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. 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, . Mar 3, 2016. 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. ANONYMOUS FEEDBACK. 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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