PPT-ChargeCache Reducing DRAM Latency by Exploiting Row

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. Prashant. Nair. Chia-Chen Chou . Moinuddin Qureshi. 1. Dynamic Random Access Memory (DRAM) used as main memory. DRAM stores data as charge on capacitor. Leakage. DRAM cells leak data!. DRAM Chip. 1. Disclosure. Vincent. CH14. I. ntroduction. In . this chapter, we . will try to. . extract further information from an application during an . actual attack. . . This mainly involves . I. nteracting . Dev. Gomony. An introduction to SDRAM and memory controllers. 5kk73. Slides contributions: Sven Goossens, Benny Akesson. Outline. Part 1: DRAM and controller basics. DRAM architecture and operation. 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. Prashant. Nair. Chia-Chen Chou . Moinuddin Qureshi. 1. Dynamic Random Access Memory (DRAM) used as main memory. DRAM stores data as charge on capacitor. Leakage. DRAM cells leak data!. DRAM Chip. 1. 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. 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. 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. Reetuparna. Das. €. §. . Onur. Mutlu. †. . Thomas Moscibroda. ‡. . Chita Das. §. € . Intel Labs . §. PennState. . †. CMU . ‡. Microsoft Research. Network-on-Chip. Network-on-Chip. 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. 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.