PPT-Energy-Efficient Data Compression for Modern Memory Systems

Gennady Pekhimenko ACM Student Research Competition March 2015 High Performance Computing I s E verywhere 2 Modern memory systems are b andwidth c onstrained Energy e fficiency . Compression for Modern Memory Systems. Gennady Pekhimenko. ACM Student Research Competition. March, 2015. High . Performance Computing . I. s . E. verywhere. 2. Modern memory systems are . b. andwidth . FAWN. :. Workloads and Implications. Vijay . Vasudevan. , David Andersen, Michael . Kaminsky. *, Lawrence Tan, . Jason Franklin. , . Iulian. . Moraru. Carnegie Mellon University, *Intel Labs Pittsburgh. Embedded Systems . Chanik. Park, . Jaeyu. . Seo. , . Dongyoung. . Seo. , . Shinhan. Kim and . Bumsoo. Kim . Software Center, SAMSUNG Electronics, Co., Ltd. . Proceedings of the 21st International Conference on Computer . Large-Scale Systems . (updated). Luis . Ceze. , Bill . Feiereisen. , Krishna Kant, Richard Murphy, . Onur. . Mutlu. , . Anand. . Sivasubramanian. , Christos Kozyrakis . ACAR Workshop – February 2010. Using Brain-Inspired . Hyperdimensional Computing. Abbas . Rahimi. , . Pentti. . Kanerva. , Jan M. . Rabaey. UC Berkeley. Outline. Background in HD Computing. Language Recognition as an Example. HD Memory-centric Architecture. openacc. Ebad. . Salehi. , Ahmad . Lashgar. and . Amirali. . Baniasadi. Electrical and Computer Engineering Department. University of Victoria. This Work. Motivation: Effective memory bandwidth usage is needed to achieve high performance in GPUs.. FAWN. :. Workloads and Implications. Vijay . Vasudevan. , David Andersen, Michael . Kaminsky. *, Lawrence Tan, . Jason Franklin. , . Iulian. . Moraru. Carnegie Mellon University, *Intel Labs Pittsburgh. Paul Larson | Justin Levandoski. Microsoft. 9/9/2016. MM-DB Tutorial VLDB 2016. 1. Tutorial Overview. Main-memory database research has been going on for a long time. Only recently do we have a number of general-purpose commercial main-memory databases. CS295: Modern Systems: Application Case Study Neural Network Accelerator – 2 Sang-Woo Jun Spring 2019 Many slides adapted from Hyoukjun Kwon‘s Gatech “Designing CNN Accelerators ” and for . High-Performance Systems. Rajeev . Balasubramonian. School of Computing. University of Utah. Sep 25. th. 2013. 2. Micron Road Trip. MICRON. BOISE. SALT LAKE CITY. 3. DRAM Chip Innovations. 4. Feedback - I. &. . 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: . Samuli Laine Tero Karras. NVIDIA Research. “Bitmaps” vs “Vectors”. 2. Bitmap 2D image. Vector 2D image. Why Not “Bitmaps” in 3D?. 3. ?. “Bitmap” 3D object. Vector 3D object. Voxel datasets often consist of volume data . Vida . Rozite. . The Role of Standardization for Smart Grids in Realizing Their Energy-Efficiency Potential and Their Enabling Effect in Developing Access to Electricity in the Third World. Benefits . with Low Complexity and Low Latency . Gennady Pekhimenko, Advisers: Todd C. Mowry and Onur Mutlu (Carnegie Mellon University). Executive Summary. Main memory is a limited shared resource. . Observation.