A Message-Driven, Multi-GPU Parallel Sparse Triangular Solver. ∗. Nan Ding ... Fast and scalable sparse triangular solver for multi-gpu based hpc architectures.
Sparse triangular solve is used in conjunction with Sparse LU for solving sparse linear systems, either as a direct solver or as a preconditioner. As GPUs ...
One-sided communications enabled distributed tasking on GPUs. • One-sided messaging libraries can vary substantially. ➢ Cray's one-sided implementation is ...
Aug 16, 2021 · A methodology to minimize blade secondary losses by modifying turbine end-walls is presented. The optimization is addressed using a gradient- ...
NVSHMEM is a parallel programming interface based on OPENSHMEM. • one-sided communication for NVIDIA GPU clusters.
This paper creates a novel producer-consumer paradigm to manage the computation and communication in SpTRSV and implement it using two CUDA streams and ...
Dec 13, 2020 · 1: The dependencies in a lower triangular and parallel. SpTRSV using level-set method. (SpGEMM), SpTRSV is more challenging to parallelize due.
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Abstract. A novel algorithm for solving in parallel a sparse triangular linear sys- tem on a graphical processing unit is proposed.
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Enables scalable, distributed memory, GPU-accelerated solvers. ➢ With 18 GPUs, up to 6x speedup over Nvidia cusparse_csrsv2().
Oct 5, 2021 · In this work, we focus on designing algorithm for SpTRSV in a single-node, multi-GPU setting. We demonstrate that directly adopting unified ...
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