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Linear algebra software for large-scale accelerated multicore computing
2016
Acta Numerica
Many crucial scientific computing applications, ranging from national security to medical advances, rely on high-performance linear algebra algorithms and technologies, underscoring their importance and broad impact. Here we present the state-of-the-art design and implementation practices for the acceleration of the predominant linear algebra algorithms on large-scale accelerated multicore systems. Examples are given with fundamental dense linear algebra algorithms – from the LU, QR, Cholesky,
doi:10.1017/s0962492916000015
fatcat:cwsstweghjaj7ff6fu62lmn6ce