PPT-Exascale Computing: Challenges and Opportunities

Author : tawny-fly | Published Date : 2018-11-06

Ahmed Sameh and Ananth Grama NNSAPRISM Center Purdue University Path to Exascale Hardware Evolution Key Challenges for Hardware System Software Runtime Systems

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Exascale Computing: Challenges and Opportunities: Transcript

Ahmed Sameh and Ananth Grama NNSAPRISM Center Purdue University Path to Exascale Hardware Evolution Key Challenges for Hardware System Software Runtime Systems Programming Interface Compilation Techniques. Opportunities for . Small . Credit . Unions . Office of Small Credit Union Initiatives. Martha Ninichuk, Deputy Director. Presentation Title. 2. Many small credit unions are struggling to survive and thrive. Presented by: Ehsan Kouroshfar. Outline. Introduction. Self-management. Architectural Considerations. Engineering challenges. Scientific challenges. Discussion. Introduction. IBM manifesto (2001): The main obstacle to further progress in the IT industry is a looming software complexity problem. ExaScale. . Challenges and Potential Solutions. Bill Dally. Chief Scientist, . NVIDIA. Bell Professor of Engineering, Stanford University. Two Key Challenges. Programmability. Writing an efficient parallel program is hard. Intel Corporation. Workshop on Programming weather, climate, and earth-system models. on heterogeneous multi-core platforms. September 7, 2011. Opportunity of . Improving . WRF . Performance Through . . Tibana. Carvalho. MSc. . . Student. @ GTA. Introduction. Cloud Computing. Provisioning of computing infrastructure. Move things to the cloud. Emerging area. Potential to transform IT industry. New aspects. Advanced Scientific Computing Research. Future of Computing:. A BES/ASCR Partnership . Background. Near Term. Exascale. Longer Term. Quantum Information Systems. Neuromorphic . 2. 3. Advanced Scientific Computing Research. Advanced Scientific Computing Research. ASCR OVERVIEW . August 3, 2011. BESAC. BESAC August 3, 2011. 2. Advanced Scientific Computing Research. Delivering world leading computational and networking capabilities to extend the frontiers of science and technology. 1. Table of contents:. 1. What is the Cloud?. 2. Cloud Computing Service Models.. - Software as a Service (SaaS).. - Platform as a Service (PaaS).. - Infrastructure as a Service (IaaS).. 3. Benefits of Cloud Computing.. Tripolis. , 31 May-1 June 2017. Node-X. : A networked architecture for energy efficient high performance computing and data . acquisition. Evangelos. . Angelakos. , . Spiros. . Poulis. , . Grigoris. Dhabaleswar K. (DK) Panda. The Ohio State University. E-mail: panda@cse.ohio-state.edu. http://www.cse.ohio-state.edu/~panda. Keynote Talk at ISCS (2015). by. High-End Computing (HEC): ExaFlop & ExaByte. 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, . The Desired Brand Effect Stand Out in a Saturated Market with a Timeless Brand Performance portability: An implementer’s Perspective. Versatility of HPE Cray Programming Environment (CPE). Platforms from HPE/Cray. Supported by CPE. 2. AMD CPUs and NVIDIA GPUs. AMD CPUs and AMD GPUs. , collected data is streamed to a central server and data . is processed . on a powerful central server which is usually far away from the . data source.. Cloud Computing or simply “the . Cloud. ”,is.

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