An Analysis for the Performance of Reservoir Simulations on a Multicore CPU

Ahmad, Najeeb; Bakar, Recep

doi:10.1007/978-981-15-2485-1_323

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2021

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“…Many researchers have described how AVX can augment processing performance. For example, optimized QcBits key encapsulation with AVX512 [10], boosted the efficiency of 2D shallow water equations calculations [11], reservoir simulations [12], and strong string dictionary compression [13].…”

Section: Background and Related Workmentioning

confidence: 99%

An Improvement of the Matrix-Matrix Multiplication Speed using 2D-Tiling and AVX512 Intrinsics for Multi-Core Architectures

Oo¹,

Chaikan²

2021

ASEAN Sci Tech Rept

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Matrix-matrix multiplication is a time-consuming operation in scientific and engineering applications. When the matrix size is large, it will take a lot of computation time, resulting in slow software which is unacceptable in real-time applications. In this paper, 2D-tiling, loop unrolling, data padding, OpenMP directives, and AVX512 intrinsics are utilized to increase the speed of matrix-matrix multiplication on multi-core architectures. Our algorithm, tested on a Core i9-7900X machine, is more than two times faster than the operations offered by the OpenBLAS and Eigen libraries for single and double precision floating-point matrices. We also propose an equation for parameter tuning which allows our algorithm to be adapted to process any size of matrix on CPUs with different cache organizations.

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