Comparative Study of Mixed-Precision and Low-Rank Compression Techniques in Sparse Direct Solvers
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Enhancing sparse direct solver scalability through runtime system automatic data partition
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New parallel features in the sparse solver PaStiX
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Study of the recent developments around the PaStiX solver for the EoCoE project: distributed mem- ory, runtime systems, and low-rank
As the core of a large number of simulation tools, the resolution of large linear systems often represents the dominant part of the computing time. Massively parallel versions are …
Heterogeneous architectures, Hybrid methods, Hierarchical matrices for Sparse Linear Solvers
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Sparse Supernodal Solver Using Hierarchical Compression over Runtime System
In this talk, we present the PaStiX sparse supernodal solver, using hierarchical compression to reduce the burden on large blocks appearing during the nested dissection process. We …
Impact of Blocking Strategies for Sparse Direct Solvers on Top of Generic Runtimes
Among the preprocessing steps of a sparse direct solver, reordering and block symbolic factorization are two major steps to reach a suitable granularity for BLAS kernels efficiency …
Exploiting Modern Manycore Architecture in Sparse Direct Solver with Runtime Systems
Sparse direct solvers is a time consuming operation required by many scientific applications to simulate physical problems. By its important overall cost, many studies tried to …