scholarly journals A Hierarchical Data-Partitioning Algorithm for Performance Optimization of Data-Parallel Applications on Heterogeneous Multi-Accelerator NUMA Nodes

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 7861-7876 ◽  
Author(s):  
Hamidreza Khaleghzadeh ◽  
Ravi Reddy Manumachu ◽  
Alexey Lastovetsky
Keyword(s):  
Performance Optimization ◽  
Data Partitioning ◽  
Parallel Applications ◽  
Hierarchical Data ◽  
Data Parallel ◽  
Partitioning Algorithm

Performance Optimization of Parallel Applications in Diverse On-Demand Development Teams

2017 ◽  
pp. 187-199
Author(s):  
Hristo Iliev ◽  
Marc-André Hermanns ◽  
Jens Henrik Göbbert ◽  
René Halver ◽  
Christian Terboven ◽  
...  
Keyword(s):  
Performance Optimization ◽  
Parallel Applications ◽  
On Demand ◽  
Development Teams

scholarly journals Self-Organised direction aware data partitioning algorithm

2018 ◽  
Vol 423 ◽  
pp. 80-95 ◽  
Author(s):  
Xiaowei Gu ◽  
Plamen Angelov ◽  
Dmitry Kangin ◽  
Jose Principe
Keyword(s):  
Data Partitioning ◽  
Partitioning Algorithm

scholarly journals Static Mapping with Dynamic Switching of Multiple Data-Parallel Applications on Embedded Many-Core SoCs

2014 ◽  
Vol E97.D (11) ◽  
pp. 2827-2834 ◽  
Author(s):  
Ittetsu TANIGUCHI ◽  
Junya KAIDA ◽  
Takuji HIEDA ◽  
Yuko HARA-AZUMI ◽  
Hiroyuki TOMIYAMA
Keyword(s):  
Parallel Applications ◽  
Data Parallel ◽  
Dynamic Switching ◽  
Multiple Data ◽  
Many Core

VLADYMIR—a C++ matrix library for data-parallel applications

2004 ◽  
Vol 20 (6) ◽  
pp. 1023-1039 ◽  
Author(s):  
Jonas Lätt ◽  
Bastien Chopard
Keyword(s):  
Parallel Applications ◽  
Data Parallel
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