Enhancing Sparse Direct Solver Scalability Through Runtime System Automatic Data Partition
Alycia Lisito,
Mathieu Faverge,
Grégoire Pichon
et al.
Abstract:With the ever-growing number of cores per node, it is critical for runtime systems and applications to adapt the task granularity to scale on recent architectures. Among applications, sparse direct solvers are a time-consuming step and the task granularity is rarely adapted to large many-core systems. In this paper, we investigate the use of runtime systems to automatically partition tasks in order to achieve more parallelism and rene the task granularity. Experiments are conducted on the new version of the Pa… Show more
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