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Cuda
Making Big Data Analytics Interactive and Real-Time
Interdisciplinary Research: Opportunities and Challenges Anne Condon The Department of Computer Science U. British Columbia Nancy Amato Department of Computer.
Now You C It. Now You Dont! Rob Ennals Intel Research Cambridge.
Laboratoire Informatique de Grenoble Parallel algorithms and scheduling: adaptive parallel programming and applications Bruno Raffin, Jean-Louis Roch,
Something for almost nothing: Advances in sublinear time algorithms Ronitt Rubinfeld MIT and Tel Aviv U.
Space, Time, Power: Evolving Concerns for Parallel Algorithms Quentin F. Stout Computer Science and Engineering University of Michigan qstoutqstout.
Parallel Algorithms on Networks of Processors Roy (Hutch) Pargas, PhD Computer Science (UNC Chapel Hill) School of Computing, Clemson University [email protected].
Dr. Wei Chen ( ), Professor Tennessee State University 2013 8 1 Lectures on Parallel and Distributed Computing.
Parallel Algorithms. Computation Models Goal of computation model is to provide a realistic representation of the costs of programming. Model provides.
Building the Next Generation of Parallel Applications Co-Design Opportunities and Challenges Michael A. Heroux Scalable Algorithms Department Sandia National.
