Applications involving large sparse nonsymmetric linear systems encourage parallel implementations of robust iterative solution methods, such as GMRES(k). Two parallel versions of...
Masha Sosonkina, Donald C. S. Allison, Layne T. Wa...
The paper proposes a new parallel connected-component-tree construction algorithm based on line independent building and progressive merging of partial 1-D trees. Two parallelizati...
P. Matas, Eva Dokladalova, Mohamed Akil, Thierry G...
Abstract--Loop tiling is an important compiler transformation used for enhancing data locality and exploiting coarsegrained parallelism. Tiled codes in which tile sizes are runtime...
Albert Hartono, Muthu Manikandan Baskaran, J. Rama...
We present a distributed machine learning framework based on support vector machines that allows classification problems to be solved iteratively through parallel update algorithm...
We present an overview of our ongoing work on parallelizing self-adjusting-computation techniques. In self-adjusting computation, programs can respond to changes to their data (e....
Matthew Hammer, Umut A. Acar, Mohan Rajagopalan, A...