PDF-Fundamental Latency Tradeoffs in Architecting DRAM Cac

Author : celsa-spraggs | Published Date : 2015-06-04

Qureshi Gabriel H Loh Dept of Electrical and Computer Engineering AMD Research Georgia Institute of Technology Advanced Micro Devices In c moingatechedu gabelohamdcom

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Fundamental Latency Tradeoffs in Architecting DRAM Cac: Transcript


Qureshi Gabriel H Loh Dept of Electrical and Computer Engineering AMD Research Georgia Institute of Technology Advanced Micro Devices In c moingatechedu gabelohamdcom Abstract This paper analyzes the design tradeoffs in architecting largescale DRAM. Qureshi Gabriel H Loh Dept of Electrical and Computer Engineering AMD Research Georgia Institute of Technology Advanced Micro Devices In c moingatechedu gabelohamdcom Abstract This paper analyzes the design tradeoffs in architecting largescale DRAM 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. …. K. . Qureshi. ECE, Georgia Tech. Gabriel H. Loh, AMD. Fundamental Latency Trade-offs. in Architecting DRAM Caches. MICRO 2012. 3-D Memory Stacking. 3-D Stacked memory can provide large caches at high . with. Patterns. Kurt . Keutzer. , EECS. , . Berkeley. with thanks to Tim Mattson, Intel . and the PALLAS team:. The Challenge of Parallelism. Programming parallel processors is one of the challenges of our era . Niladrish. . Chatterjee. Manjunath. . Shevgoor. Rajeev . Balasubramonian. Al Davis. Zhen Fang. ‡†. Ramesh . Illikkal. *. Ravi . Iyer. *. University of Utah , NVidia. ‡. and Intel Labs*. †. ___________________________________________________________. Kyle Rheiner, Insurance Producer. Strickler Insurance Agency, Lebanon PA. www.CraftBrewingInsurance.com. Acknowledgement . __________________________________________________________. Niladrish Chatterjee. Mike O’Connor. Gabriel H. . Loh. Nuwan. . Jayasena. Rajeev . Balasubramonian. Irregular GPGPU Applications. Conventional GPGPU workloads access vector or matrix-based data structures. 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. kindly visit us at www.examsdump.com. Prepare your certification exams with real time Certification Questions & Answers verified by experienced professionals! We make your certification journey easier as we provide you learning materials to help you to pass your exams from the first try. Professionally researched by Certified Trainers,our preparation materials contribute to industryshighest-99.6% pass rate among our customers. kindly visit us at www.examsdump.com. Prepare your certification exams with real time Certification Questions & Answers verified by experienced professionals! We make your certification journey easier as we provide you learning materials to help you to pass your exams from the first try. Professionally researched by Certified Trainers,our preparation materials contribute to industryshighest-99.6% pass rate among our customers. kindly visit us at www.examsdump.com. Prepare your certification exams with real time Certification Questions & Answers verified by experienced professionals! We make your certification journey easier as we provide you learning materials to help you to pass your exams from the first try. Professionally researched by Certified Trainers,our preparation materials contribute to industryshighest-99.6% pass rate among our customers. 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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