Theoretical modeling of chemical and biological processes is a key to understand nature and to predict experiments. Unfortunately, this is very data and computation extensive. Howe...
Wibke Sudholt, Kim Baldridge, David Abramson, Coli...
We investigate runtime strategies for data-intensive applications that involve generalized reductions on large, distributed datasets. Our set of strategies includes replicated fi...
We report the results of a year-long experiment in the use of robots to teach computer science. Our data set compares results from over 800 students on identical tests from both r...
For most parallel and high performance systems, tuning guides provide the users with advices to optimize the execution time of their programs. Execution time may be very sensitive...
Recent studies on value locality reveal that many instructions are frequently executed with a small variety of inputs. This paper proposes an approach that integrates architecture...