Work Distribution of Data-Parallel Applications on Heterogeneous Systems

2016 ◽  
pp. 69-81
Author(s):  
Suejb Memeti ◽  
Sabri Pllana
Keyword(s):  
Heterogeneous Systems ◽  
Parallel Applications ◽  
Data Parallel ◽  
Work Distribution

scholarly journals Energy efficiency of load balancing for data-parallel applications in heterogeneous systems

2016 ◽  
Vol 73 (1) ◽  
pp. 330-342 ◽  
Author(s):  
Borja Pérez ◽  
Esteban Stafford ◽  
José Luis Bosque ◽  
Ramón Beivide
Keyword(s):  
Energy Efficiency ◽  
Load Balancing ◽  
Heterogeneous Systems ◽  
Parallel Applications ◽  
Data Parallel

scholarly journals Resource-Aware Device Allocation of Data-Parallel Applications on Heterogeneous Systems

Electronics ◽  
2020 ◽  
Vol 9 (11) ◽  
pp. 1825
Author(s):  
Donghyeon Kim ◽  
Seokwon Kang ◽  
Junsu Lim ◽  
Sunwook Jung ◽  
Woosung Kim ◽  
...  
Keyword(s):  
Heterogeneous Systems ◽  
Parallel Applications ◽  
Small Data ◽  
Data Set ◽  
Computing Device ◽  
Parallel Application ◽  
Multiple Gpus ◽  
Data Parallel ◽  
Multiple Data ◽  
Resource Aware

As recent heterogeneous systems comprise multi-core CPUs and multiple GPUs, efficient allocation of multiple data-parallel applications has become a primary goal to achieve both maximum total performance and efficiency. However, the efficient orchestration of multiple applications is highly challenging because a detailed runtime status such as expected remaining time and available memory size of each computing device is hidden. To solve these problems, we propose a dynamic data-parallel application allocation framework called ADAMS. Evaluations show that our framework improves the average total execution device time by 1.85× over the round-robin policy in the non-shared-memory system with small data set.

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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