This paper describes matrix multiplication performance results for Matlab and GNU Octave over a variety of combinations of process counts and OpenMP threads and ...

Jul 6, 2019 · Achieving optimal performance of matrix operations within data analysis environments requires tuning the Xeon Phi OpenMP set- tings, process ...

This paper describes matrix multiplication performance results for Matlab and GNU Octave over a variety of combinations of process counts and OpenMP threads ...

This paper describes matrix multiplication performance results for Matlab and GNU Octave over a variety of combinations of process counts and OpenMP threads and ...

In this paper, we present a modified version of matrix multiplication algorithm on Intel Xeon Phi Knights Landing (KNL) processor, which is the second ...

Achieving optimal performance of matrix operations within data analysis environments requires tuning the Xeon Phi OpenMP settings, process pinning, and memory ...

Bibliographic details on Optimizing Xeon Phi for Interactive Data Analysis.

英特尔至强融核多核处理器旨在提供数据分析中经常执行的高性能矩阵计算。常见的数据分析环境包括Matlab、GNU Octave、Julia、Python 和R。在数据分析环境 ...

Optimizing Xeon Phi for Interactive Data Analysis. Chansup Byun Anne Klein ... highly interactive · data processing · user interaction · interactive visualization ...

The Intel Xeon Phi manycore processor is designed to provide high performance matrix computations of the type often performed in data analysis. Common data ...