A survey of communication performance models for high-performance computing
JA Rico-Gallego, JC Díaz-Martín… - ACM Computing …, 2019 - dl.acm.org
This survey aims to present the state of the art in analytic communication performance
models, providing sufficiently detailed descriptions of particularly noteworthy efforts …
models, providing sufficiently detailed descriptions of particularly noteworthy efforts …
Bi-objective optimization of data-parallel applications on heterogeneous HPC platforms for performance and energy through workload distribution
Performance and energy are the two most important objectives for optimization on modern
parallel platforms. In this article, we show that moving from single-objective optimization for …
parallel platforms. In this article, we show that moving from single-objective optimization for …
Обзор моделей параллельных вычислений
НА Ежова, ЛБ Соколинский - Вестник Южно-Уральского …, 2019 - cyberleninka.ru
Цель данного обзора дать максимально полное представление о достижениях и
современном состоянии дел в разработке аналитических моделей параллельных …
современном состоянии дел в разработке аналитических моделей параллельных …
BSF: A parallel computation model for scalability estimation of iterative numerical algorithms on cluster computing systems
LB Sokolinsky - Journal of Parallel and Distributed Computing, 2021 - Elsevier
This paper examines a novel parallel computation model called bulk synchronous farm
(BSF) that focuses on estimating the scalability of compute-intensive iterative algorithms …
(BSF) that focuses on estimating the scalability of compute-intensive iterative algorithms …
[HTML][HTML] Model-based selection of optimal MPI broadcast algorithms for multi-core clusters
The performance of collective communication operations determines the overall
performance of MPI applications. Different algorithms have been developed and …
performance of MPI applications. Different algorithms have been developed and …
Correlation of performance optimizations and energy consumption for stencil-based application on Intel Xeon scalable processors
This article provides a comprehensive study of the impact of performance optimizations on
the energy efficiency of a real-world CFD application called MPDATA, as well as an …
the energy efficiency of a real-world CFD application called MPDATA, as well as an …
Exploration of OpenCL heterogeneous programming for porting solidification modeling to CPU‐GPU platforms
This article provides a comprehensive study of OpenCL heterogeneous programming for
porting applications to CPU–GPU computing platforms, with a real‐life application for the …
porting applications to CPU–GPU computing platforms, with a real‐life application for the …
Sparse FCM-based map-reduce framework for distributed parallel data clustering in E-Khool learning platform
A Suki Antely, P Jegatheeswari… - … Journal of Uncertainty …, 2023 - World Scientific
Parallel clustering serves as a platform for handling big data. The literature displays a
number of clustering algorithms using a map-reduce framework, but they did not assure the …
number of clustering algorithms using a map-reduce framework, but they did not assure the …
Assessment of offload-based programming environments for hybrid CPU–MIC platforms in numerical modeling of solidification
Heterogeneous (or hybrid) computing platforms with Intel Xeon Phi accelerators offer
potential advantages of energy efficient, massively parallel computing, while supporting …
potential advantages of energy efficient, massively parallel computing, while supporting …
Performance portable parallel programming of heterogeneous stencils across shared-memory platforms with modern Intel processors
In this work, we take up the challenge of performance portable programming of
heterogeneous stencil computations across a wide range of modern shared-memory …
heterogeneous stencil computations across a wide range of modern shared-memory …