PPT-CSE 591: Energy-Efficient Computing Lecture 9 SLEEP: processor
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Lecture 9 SLEEP processor Anshul Gandhi 347 CS building anshulcsstonybrookedu dreamweaver paper DVFS limitations PowerNap limitation Request batching Weave Scheduling
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CSE 591: Energy-Efficient Computing Lecture 9 SLEEP: processor: Transcript
Lecture 9 SLEEP processor Anshul Gandhi 347 CS building anshulcsstonybrookedu dreamweaver paper DVFS limitations PowerNap limitation Request batching Weave Scheduling Dream Processor. Uni processor computing can be called centralized computing brPage 3br mainframe computer workstation network host network link terminal centralized computing distributed computing A distributed system is a collection of independent computers interc Talha. . Naeem. . Qureshi. Joint work with. Tauseef. . Shah and . Nadeem. . Javaid. . COMSATS. , Institute of Information Technology,. 44000. , Islamabad, . Pakistan. . www.comsats.edu.pk. . www.njavaid.com. FAWN. :. Workloads and Implications. Vijay . Vasudevan. , David Andersen, Michael . Kaminsky. *, Lawrence Tan, . Jason Franklin. , . Iulian. . Moraru. Carnegie Mellon University, *Intel Labs Pittsburgh. Lecture 7. SMARTS: custom-made systems. Anshul Gandhi. 347, CS building. anshul@cs.stonybrook.edu. Benchmark competitions. Benchmark competitions. fawn paper. Data-intensive workloads. Seek-bound. small. 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. MAC Protocol for . Wireless Sensor Networks. by . Tijs van Dam and Koen Langendoen. Delft . University of Technology. The . Netherlands. in . The First ACM Conference on Embedded Networked Sensor Systems (Sensys'03). FAWN. :. Workloads and Implications. Vijay . Vasudevan. , David Andersen, Michael . Kaminsky. *, Lawrence Tan, . Jason Franklin. , . Iulian. . Moraru. Carnegie Mellon University, *Intel Labs Pittsburgh. HPC User Forum. Julia C. White, INCITE Manager. whitejc@DOEleadershipcomputing.org. What is INCITE?. Provides awards to academic, government, and industry organizations worldwide. needing large allocations of computer time, supporting resources, and data storage . Kim Shearer. Senior Program Manager. Microsoft Corporation. SESSION CODE: DPR308. Required Slide. Agenda. The growing importance of IT efficiency initiatives . The role of applications in IT efficiency. CSCE 190: Computing in the Modern World. Jason D. Bakos. Heterogeneous and Reconfigurable Computing Group. Apollo 11 vs iPhone 10. Apollo 11. Cost: ~$200 billion. (whole program, adjusted). Guidance Computer (1966):. CSE 591: Energy-Efficient Computing Lecture 15 SCALING: storage Anshul Gandhi 347, CS building anshul@cs.stonybrook.edu rabbit paper Objectives Power-proportional storage system PP in the presence of failures Energy Efficient Operations Presentation to ASHRAE Energy Expo October 2 , 2013 Center for Energy and Environment During commissioning projects the commissioning agent develops a deep understanding of the facility &. . 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: . 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 .
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