parallel.cse.wustl.edu
Parallel Computing Technology Group atWashington University in St. LouisParallel Computing Technology Group at Washington University in St. Louis
http://parallel.cse.wustl.edu/
Parallel Computing Technology Group at Washington University in St. Louis
http://parallel.cse.wustl.edu/
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Parallel Computing Technology Group atWashington University in St. Louis | parallel.cse.wustl.edu Reviews
https://parallel.cse.wustl.edu
Parallel Computing Technology Group at Washington University in St. Louis
parallel.cse.wustl.edu
Parallel Computing Technology GroupatWashington University in St. Louis
http://parallel.cse.wustl.edu/index.html
Parallel Computing Technology Group. Welcome to the Parallel Computing Technology Group at Washington University in St. Louis. The Parallel Computing Technology Group investigates a wide range of topics relating to parallel computing, ranging from parallel algorithms, scheduling, language design, underlying system support, to software tools for correctness and performance engineering. We are currently seeking graduate students who are algorithmically oriented or system savvy (or both!
Parallel Computing Technology Group at Washington University in St. Louis
http://parallel.cse.wustl.edu/members.html
Parallel Computing Technology Group. Research interests: parallel computing, scheduling, resource allocation, transactional memory, cache-aware, and cache-oblivious streaming. Research interests: language design and runtime system support for for multicore software, transactional memory, memory model, tool design for writing correct and efficient parallel code.
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Parallel Computing Technology Group atWashington University in St. Louis
Parallel Computing Technology Group. Welcome to the Parallel Computing Technology Group at Washington University in St. Louis. The Parallel Computing Technology Group investigates a wide range of topics relating to parallel computing, ranging from parallel algorithms, scheduling, language design, underlying system support, to software tools for correctness and performance engineering. We are currently seeking graduate students who are algorithmically oriented or system savvy (or both!
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Computational Science Lab | Home | University of Applied Sciences Bielefeld – Department of Engineering Sciences and Mathematics
University of Applied Sciences Bielefeld - Department of Engineering Sciences and Mathematics. Ingenieurinformatik (ab WiSe 2012 / 2013). Programmierung verteilter Systeme (PVS). Informationstechnik (bis SoSe 2012). Angewandte Mathematik I (AM1). Angewandte Mathematik II (AM2). Elektrotechnik (ab SoSe 2013). Optimierung und Simulation (2011; WiSe 2011 / 2012 bis WiSe 2012 / 2013). High Performance Computing Cluster. Prof Dr. rer. nat. Christian Schröder. Dipl-Ing. (FH) Thomas Hilbig.
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