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Persistent URL http://purl.org/net/epubs/work/12417437
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Record Id 12417437
Title DAG-Scheduled Linear Algebra Using Template-Based Building Blocks
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Abstract We describe our experiences using DAG-driven algorithms built from templated BLAS-like building blocks to implement LAPACK-like functionality at the single kernel level. There will be a particular focus on strong scaling of multiple small dense factorizations, as required for sparse direct methods. The main objective is to overlap expensive latency-bound pivoting operations with highly parallel matrix-matrix multiplication operations. As the later are dependent on the output of previous pivoting decisions, a directed-acyclic graph (DAG) scheduler is implemented using global memory to manage fine-grained inter-block parallelism.
Organisation STFC , SCI-COMP , SCI-COMP-CM
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Language English (EN)
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Presentation Presented at NVIDIA GPU Technology Conference (GTC 2015), San Jose, California, USA, 17-20 Mar 2015. dag_sched_la.pdf 2015
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Science and Technology Facilities Council Switchboard: 01793 442000