PPT-Quantifying the Impact of GPUs on Performance and Energy Ef
Author : yoshiko-marsland | Published Date : 2016-05-09
Craig Steffen csteffenncsauiucedu NCSA Innovative Systems Lab First International Green Computing Conference Workshop in Progress in Green Computing August 16 2010
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Quantifying the Impact of GPUs on Performance and Energy Ef: Transcript
Craig Steffen csteffenncsauiucedu NCSA Innovative Systems Lab First International Green Computing Conference Workshop in Progress in Green Computing August 16 2010 Cast of Characters Jim Philips and John Stone Theoretical and Computational Biophysics Group Beckman Institute UIUC. Dept. of Electrical and Computer Engineering North Carolina State UniversityRaleigh, NC, USA {pxiang, hzhou}@ncsu.edu *Dept. of Computing Systems Architecture NEC Laboratories AmericaPrinceton, NJ, 1-2 April 2014. EeB.NMP.2010-1 . New nanotechnology based high performance insulation systems for energy efficiency. Georgios KATALAGARIANAKIS. Research Programme Officer. DG Research & Innovation. for Realistic Memory Systems. Rustam Miftakhutdinov. Eiman. . Ebrahimi. Yale N. . Patt. V. f. Dynamic Voltage/Frequency Scaling. 2. Image source: intel.com. f. opt. Impact of Frequency Scaling. frequency. for S2D forecasting. EUPORIAS wp31. Nov 2012, Ronald Hutjes. Background. S2D impact prediction. Uncertainty explosion / Skill implosion ??. SST. Weather. (Downscaling). Soil moisture. Plant productivity. Freight Volatility. Kurn. Ma. Manish Kumar. Agenda. Project Motivation. Over 5,000 trucking companies (~400,000 trucks) went out of business in 2012. . There are . about 8,000 fewer trucks available nationwide on any given day. (. Supercomputing. The Next wave of HPC. Presented by Shel Waggener. HP Materials from Marc Hamilton. June. , . 2011. © Copyright 2011 Hewlett-Packard Development Company, L.P. . GPUs – changing the Economics of Supercomputing. Betkaoui, B.; Thomas, D.B.; Luk, W., "Comparing performance and energy efficiency of FPGAs and GPUs for high productivity computing," . Field-Programmable Technology (FPT), 2010 International Conference on. NJ Clean Energy Learning Center Conference. September 12, 2017. Jackie Berger. APPRISE. APPRISE. 2. Achieving High Savings. 3. INTRODUCTION. 4. Energy Efficiency . Program Goals. 5. Energy Efficiency . Small Business Vouchers Pilot. March, 2015. DOE Labs: A Reservoir of Talent for Science and Technology. Graphic courtesy of “A Decade of Discovery”. DOE. 2008. 17 National Laboratories. 10 in Office of Science. based on evidence from the ICT sector . « . 2015 EU Innovation Procurement. . Event. ». Paris, 27. th. . October. 2015 . . Sara Bedin. European. Expert on . Innovation Procurement. Author of the . Quantifying the Impact of PCP in Europe based on evidence from the ICT sector « 2015 EU Innovation Procurement Event » Paris, 27 th October 2015 Sara Bedin European Expert on Innovation Procurement panel discussions. HSF and its role in performance? . V: This is the question that we should keep in mind throughout the panel discussion . What is Computational Efficiency for you?. Holistic Performance Assessment? . proposed design compared to the average energy performance of buildings relative to a benchmark year Revise as Follows Table 3021 Section Section Title or Description and Directives Jurisdictional Req Energy Quad Charts. UCF Faculty and Staff. Building Energy and Clean Energy Workforce Training. PROBLEM STATEMENT: . As new solar and energy efficiency products and services are brought to the market, a host of audiences require training. This includes skilled trades and professionals that require skills upgrades as well as those entering the workforce. In most cases, new curricula is required and hands on laboratory activities developed..
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