Parallel Programming Models in High‐Performance Cloud (ParaMo 2019)

2021 ◽  
Author(s):  
Sangyoon Oh
Keyword(s):  
Parallel Programming ◽  
High Performance ◽  
Programming Models ◽  
Parallel Programming Models

Study of parallel programming models on computer clusters with Intel MIC coprocessors

2015 ◽  
Vol 31 (4) ◽  
pp. 303-315 ◽  
Author(s):  
Miaoqing Huang ◽  
Chenggang Lai ◽  
Xuan Shi ◽  
Zhijun Hao ◽  
Haihang You
Keyword(s):  
Parallel Programming ◽  
High Performance ◽  
Programming Model ◽  
Fixed Number ◽  
Parallel Applications ◽  
Programming Models ◽  
Communication Overhead ◽  
Computer Clusters ◽  
Parallel Programming Models ◽  
Intel Mic

Coprocessors based on the Intel Many Integrated Core (MIC) Architecture have been adopted in many high-performance computer clusters. Typical parallel programming models, such as MPI and OpenMP, are supported on MIC processors to achieve the parallelism. In this work, we conduct a detailed study on the performance and scalability of the MIC processors under different programming models using the Beacon computer cluster. Our findings are as follows. (1) The native MPI programming model on the MIC processors is typically better than the offload programming model, which offloads the workload to MIC cores using OpenMP. (2) On top of the native MPI programming model, multithreading inside each MPI process can further improve the performance for parallel applications on computer clusters with MIC coprocessors. (3) Given a fixed number of MPI processes, it is a good strategy to schedule these MPI processes to as few MIC processors as possible to reduce the cross-processor communication overhead. (4) The hybrid MPI programming model, in which data processing is distributed to both MIC cores and CPU cores, can outperform the native MPI programming model.

APPROACHING DEVELOPMENTS ON PARALLEL PROGRAMMING MODELS THROUGH JAVA

2016 ◽  
Vol 10 (3) ◽  
pp. 14
Author(s):  
VEERASAMY BALA DHANDAYUTHAPANI ◽  
NASIRA G.M ◽  
◽  
Keyword(s):  
Parallel Programming ◽  
Programming Models ◽  
Parallel Programming Models

scholarly journals Evaluating attainable memory bandwidth of parallel programming models via BabelStream

2017 ◽  
Vol 1 (1) ◽  
pp. 1
Author(s):  
Matt Martineau ◽  
Simon McIntosh Smith ◽  
James Price ◽  
Tom Deakin
Keyword(s):  
Parallel Programming ◽  
Programming Models ◽  
Memory Bandwidth ◽  
Parallel Programming Models

scholarly journals Tying Memory Management to Parallel Programming Models

2006 ◽  
pp. 666-675
Author(s):  
Ioannis E. Venetis ◽  
Theodore S. Papatheodorou
Keyword(s):  
Parallel Programming ◽  
Memory Management ◽  
Programming Models ◽  
Parallel Programming Models

scholarly journals On the adequacy of lightweight thread approaches for high-level parallel programming models

2018 ◽  
Vol 84 ◽  
pp. 22-31 ◽  
Author(s):  
Adrián Castelló ◽  
Rafael Mayo ◽  
Kevin Sala ◽  
Vicenç Beltran ◽  
Pavan Balaji ◽  
...  
Keyword(s):  
Parallel Programming ◽  
Programming Models ◽  
Parallel Programming Models ◽  
High Level

A comparison of the shared-memory parallel programming models OpenMP, OpenACC and Kokkos in the context of implicit solvers for high-order FEM

2020 ◽  
Vol 255 ◽  
pp. 107245 ◽  
Author(s):  
Jan Eichstädt ◽  
Martin Vymazal ◽  
David Moxey ◽  
Joaquim Peiró
Keyword(s):  
Parallel Programming ◽  
Shared Memory ◽  
High Order ◽  
Programming Models ◽  
Implicit Solvers ◽  
Parallel Programming Models

scholarly journals Parallel programming models for heterogeneous many-cores: a comprehensive survey

2020 ◽  
Vol 2 (4) ◽  
pp. 382-400
Author(s):  
Jianbin Fang ◽  
Chun Huang ◽  
Tao Tang ◽  
Zheng Wang
Keyword(s):  
Parallel Programming ◽  
Programming Models ◽  
Parallel Programming Models ◽  
Comprehensive Survey
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