PPT-The DRAM Latency PUF: Quickly Evaluating Physical

Author : audrey | Published Date : 2023-06-22

Unclonable Functions by Exploiting the LatencyReliability Tradeoff in Modern Commodity DRAM Devices Jeremie S Kim Minesh Patel Hasan Hassan Onur Mutlu Motivation

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The DRAM Latency PUF: Quickly Evaluating Physical: Transcript

Unclonable Functions by Exploiting the LatencyReliability Tradeoff in Modern Commodity DRAM Devices Jeremie S Kim Minesh Patel Hasan Hassan Onur Mutlu Motivation. Niladrish. . Chatterjee. Manjunath. . Shevgoor. Rajeev . Balasubramonian. Al Davis. Zhen Fang. ‡†. Ramesh . Illikkal. *. Ravi . Iyer. *. University of Utah , NVidia. ‡. and Intel Labs*. †. 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 . 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. 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. OLTP on NVM:. YMMV. The Last Six Months. ?. PDL Retreat. October 2013. PDL Visit Day. May 2014. Prison Life. Washing Dishes. Not Fighting. Repentant. Cafeteria Thievery. Shankings. Making . Pruno. GOOD. OLTP on the NVM SDV:. YMMV. 2013. January. Retreat. Thesis. Defense. December. Retreat. Job. Interviews. Moved to. CMU. 2013. January. Retreat. Thesis. Defense. December. Retreat. Job. Interviews. Moved to. 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 . 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. Lecture 6 - Memory. Dr. George Michelogiannakis. EECS, University of California at Berkeley. CRD, Lawrence Berkeley National Laboratory. http://. inst.eecs.berkeley.edu. /~cs152. CS152 . Administritivia. 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. 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. Lecture 6 - Memory. Dr. George Michelogiannakis. EECS, University of California at Berkeley. CRD, Lawrence Berkeley National Laboratory. http://. inst.eecs.berkeley.edu. /~cs152. CS152 . Administritivia. Computer Architecture Lecture 6b: SoftMC Hasan Ibrahim Hasan ETH Zürich Fall 2018 4 October 2018 SoftMC A Flexible and Practical Open-Source Infrastructure for Enabling Experimental DRAM Studies Charge-Level-Aware Look-Ahead Partial Restoration. Yaohua. Wang. 1,2. . Arash. Tavakkol. 1. Lois Orosa. 1,4. . Saugata. . Ghose. 3. . Nika Mansouri Ghiasi. 1. . Minesh. Patel.

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