An Elementary Introduction to Kalman Filtering
Demystifying the uses of a powerful tool for uncertain information.
Keshav Pingali
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Data-centric abstractions and execution strategies are needed to exploit parallelism in large-scale graph analytics.
Optimistic Parallelism Requires Abstractions
Writing software for multicore processors is greatly simplified if we could automatically parallelize sequential programs. Although auto-parallelization has been studied for many decades, it has succeeded only in a few application areas such as dense matrix computations.
Compiler Research: The Next 50 Years
Four recommendations address the major challenges to keeping compilers and high-level languages vibrant.
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ACM encourages its members to take a direct hand in shaping the future of the association. There are more ways than ever to get involved.
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