Sparse

Work stealing and granularity optimizations for a sparse solver on manycores

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Sparse Linear Algebra over DAG Runtimes

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Matrices over Runtime Systems at Exascale

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Scheduling for Sparse Solver on Manycore Architectures

The emergence of many-cores architectures introduces variations in computation costs, which makes precise cost models hard to realize. Static schedulers based on cost models, like the one used in the sparse direct solver PaStiX, are no longer …

Sparse direct solvers with accelerators over DAG runtimes

The current trend in the high performance computing shows a dramatic increase in the number of cores on the shared memory compute nodes. Algorithms, especially those related to linear algebra, need to be adapted to these new computer architectures …

Memory Optimization to Build a Schur Complement

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Sparse direct solver on top of large-scale multicore systems with GPU accelerators

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Toward a supernodal sparse direct solver over DAG runtimes

The current trend in the high performance computing shows a dramatic increase in the number of cores on the shared memory compute nodes. Algorithms, especially those related to linear algebra, need to be adapted to these new computer architectures …

Fine Grain Scheduling for Sparse Solver on Manycore Architectures

The emergence of many-cores architectures introduces variations in computation costs, which makes precise cost models hard to realize. Static schedulers based on cost models, like the one used in the sparse direct solver textscPaStiX, are no longer …

Memory Optimization to Build a Schur Complement in an Hybrid Solver

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