PPT-Designing HPC and Big Data Middleware for Exascale Systems: Opportunities and Challenges

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Dhabaleswar K DK Panda The Ohio State University Email pandacseohiostateedu httpwwwcseohiostateedupanda Keynote Talk at ISCS 2015 by HighEnd Computing HEC ExaFlop

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Designing HPC and Big Data Middleware for Exascale Systems: Opportunities and Challenges: Transcript

Dhabaleswar K DK Panda The Ohio State University Email pandacseohiostateedu httpwwwcseohiostateedupanda Keynote Talk at ISCS 2015 by HighEnd Computing HEC ExaFlop amp ExaByte. 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. Fog. Panel. . at SC11. Seattle. November 17 2011. Geoffrey Fox. gcf@indiana.edu. . . http://www.infomall.org. . . http://www.salsahpc.org. . Director, Digital Science Center, Pervasive Technology . by Saltanat Mashirova. Distributed applications. Distributed applications have distinctly different characteristics than conventional desktop or back office applications in that the right answer delivered too late can become the wrong answer, i.e., failure to meet key . HPC-ABDS. NSF 1443054: CIF21 DIBBs: Middleware and High Performance Analytics Libraries for Scalable Data Science. HPC Cloud. Convergence. February 2017. 1. Clouds, HPC Clouds. Simulations, Big Data. Architecture and Ogres. International Workshop on Extreme Scale Scientific Computing (Big Data and Extreme Computing (BDEC. )). Fukuoka Japan February 27 2014. 3. Geoffrey Fox . Judy Qiu. Shantenu. . 5th Multicore World. 15-17 February 2016 – Shed 6, Wellington, New Zealand. http://openparallel.com/multicore-world-2016/. . 1. Geoffrey Fox. February 16, 2016. gcf@indiana.edu. . . http://www.dsc.soic.indiana.edu/. Keynote. BigDat. 2015: International Winter School on Big Data. Tarragona, Spain, January 26-30, 2015. January 26 2015. Geoffrey . Fox . gcf@indiana.edu. . . http://www.infomall.org. School of Informatics and Computing. (building an HPC system for HEP and beyond) . Doug Benjamin. Duke University. Goals for this effort. Develop a simple and robust system . Simple – because I am pragmatic and need to support it. Robust – to minimize labor required to operate and fix it (DB’s need to be efficient). Geoffrey Fox. June 30, 2016. gcf@indiana.edu. . . http://www.dsc.soic.indiana.edu/. , . http://spidal.org/. . http://hpc-abds.org/kaleidoscope/. . Department of Intelligent Systems Engineering. K3130303129/RAJAmemory and a range of various architectures which can result in decreased productivity for library and application developers who need to write specialized so31ware for each system 30e kindly visit us at www.nexancourse.com. Prepare your certification exams with real time Certification Questions & Answers verified by experienced professionals! We make your certification journey easier as we provide you learning materials to help you to pass your exams from the first try. Alberto Di Meglio (CERN). Project Director. Outline. What is EMI?. EMI Vision and Objectives. How does it work?. Conclusions. 06/10/2010. EMI Overview v. 3.0. 2. Outline. What is EMI?. EMI Vision and Objectives. Addison Snell, CEO. addison. @intersect360.com. Technical Computing. Top-line missions: . Find the oil. Design the minivan. Cure the disease. Driven by price/performance. Fast adoption of new technologies, algorithms, and approaches. September . 2010. Authors. : Earl Joseph, Steve Conway and . Jie. Wu. Overall EU Study Strategic . Goals. Develop a complete strategic agenda to guide EU investments in HPC and to help . drive European leadership in using and providing .

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