PPT-Energy-efficient Cluster Computing with

FAWN Workloads and Implications Vijay Vasudevan David Andersen Michael Kaminsky Lawrence Tan Jason Franklin Iulian Moraru Carnegie Mellon University Intel Labs Pittsburgh. Comfort is hard to define and is best understood as the absence of discomfort. Perhaps the most remarkable thing about radiant heat is what you won't notice. There are no forced air registers to see. No noise or dust from mechanical blowers. No hot air blowing on you. No hot air collecting at the ceiling, wasting energy. No cold floors to chill your feet. The mild warmth of a radiant floor is a subtle experience and always feels just right. “Computing . is changing more rapidly than ever before, and scientists have the unprecedented opportunity to change computing . directions” . “In . 20 or 30 years, you'll be able to hold in your hand as much computing knowledge as exists now in the whole city, or even the whole world. microsensor. networks. W. . Heinzelman. , A. . Chandrakasan. , H. . Balakrishnan. , Published in 2000. Overview. Problem Description. Energy Models. Conventional Methods. LEACH Algorithm. Conclusions. CSG – Spring 2015 – Happy Valley. Charley Kneifel. Where we were. Duke Shared Cluster Resource (DSCR). In some ways – Research Computing was the Cluster. Monolithic Cluster – Intel Chips, Common Image, Variety of capabilities. Overview:. What the Heck is Supercomputing?. Joshua Alexander, U Oklahoma. Ivan . Babic. , Earlham College. Michial. Green, Contra Costa College. Mobeen. . Ludin. , Earlham College. Tom Murphy, Contra Costa College. via distributed cooperative control: . application to power management in computing clusters. Authors: . Mianyu. Wang, . Nagarajan. . Kandasamy. , . Allon. . Guez. , and Moshe . Kam. Proceedings of the 3. Cloud computing is a model for enabling . convenient. , . on-demand network access . to a . shared pool . of . configurable computing resources . (e.g., networks, servers, storage, applications, and services) [Mell_2009], [Berkely_2009]. . Cloud Versus In-house Cluster: Evaluating Amazon Cluster Compute Instances for Running MPI Applications Yan Zhai , Mingliang Liu, Jidong Zhai Xiaosong Ma, Wenguang Chen Tsinghua University & Pierre Riteau. Université de Rennes 1, IRISA. INRIA Rennes – Bretagne . Atlantique. Rennes, . France. Pierre.Riteau@irisa.fr. Introduction To. Sky. . Computing. IaaS. . clouds. On demand/elastic . 1. Heru. . Suhartanto. Faculty of Computer Science, . Universitas. Indonesia. E-mail: . heru@cs.ui.ac.id. Presented at University of YARSI. – General Course – on 27-th April 2011. A revised version of presentation at ICACSIS2010, . Konsep. Aloysius Airlangga Bajuadji, S.Kom, M.Eng. aabayuadji@yahoo.com. | . aabayuadji@gmail.com. Bayu R Langga. 1. High Performance Computing | . 2013. ... Sistem Perkuliahan. Ada 14 Tatap Muka. Prosentase Penilaian. &. . 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 . Directorate General for Internal Market, Industry, Entrepreneurship and SMEs. Christophe Guichard. Team leader Cluster internationalisation. Unit GROW.F2 – Clusters, Social Economy & Entrepreneurship.