VECTORIZATION OF OPERATIONS ON SMALL- DIMENSIONAL MATRICES FOR INTEL XEON PHI KNIGHTS LANDING PROCESSOR
The article is devoted to the vectorization of calculations for Intel Xeon Phi Knights Landing (KNL) processor. Small-dimensional matrices are considered as objects for optimization. These operations are wide common in calculation codes in various scopes of research, for example, in calculational fl...
Main Authors: | Leonid A. Benderskiy, Sergey A. Leshchev, Alexey A. Rybakov |
---|---|
Format: | Article |
Language: | Russian |
Published: |
The Fund for Promotion of Internet media, IT education, human development «League Internet Media»
2018-03-01
|
Series: | Современные информационные технологии и IT-образование |
Subjects: | |
Online Access: | http://sitito.cs.msu.ru/index.php/SITITO/article/view/343 |
Similar Items
-
VECTORIZATION OF SMALL-SIZED SPECIAL-TYPE MATRICES MULTIPLICATION USING INSTRUCTIONS AVX-512
by: Leonid A. Benderskiy, et al.
Published: (2018-09-01) -
Applying AVX512 vectorization to improve the performance of a random number generator
by: M. S. Guskova, et al.
Published: (2018-10-01) -
Software and DVFS Tuning for Performance and Energy-Efficiency on Intel KNL Processors
by: Enrico Calore, et al.
Published: (2018-06-01) -
Effective SIMD Vectorization for Intel Xeon Phi Coprocessors
by: Xinmin Tian, et al.
Published: (2015-01-01) -
Nonlinear Wave Simulation on the Xeon Phi Knights Landing Processor
by: Hristov Ivan, et al.
Published: (2018-01-01)