Proceedings of the 6th International Workshop on Performance Modeling, Benchmarking, and Simulation of High Performance Computi 2015
DOI: 10.1145/2832087.2832090
|View full text |Cite
|
Sign up to set email alerts
|

Examining recent many-core architectures and programming models using SHOC

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1

Citation Types

0
5
0

Year Published

2016
2016
2021
2021

Publication Types

Select...
5
2

Relationship

0
7

Authors

Journals

citations
Cited by 10 publications
(5 citation statements)
references
References 20 publications
0
5
0
Order By: Relevance
“…We chose six benchmarks from the Rodinia suite and one benchmark from the SHOC suite for our application suite. The additional SHOC benchmark represents the sparse linear algebra application class, which is not present in Rodinia.…”
Section: Evaluating Coprocesssor Performancementioning
confidence: 99%
“…We chose six benchmarks from the Rodinia suite and one benchmark from the SHOC suite for our application suite. The additional SHOC benchmark represents the sparse linear algebra application class, which is not present in Rodinia.…”
Section: Evaluating Coprocesssor Performancementioning
confidence: 99%
“…This trend indicates that determining the optimal mapping to the Xeon Phi is critical to application developers. In a total of 19 works (Aprà et al, 2014; Bernaschi and Salvadore, 2014; Bernaschi et al, 2014; Brown et al, 2015; Heinecke et al, 2013; Höhnerbach et al, 2016; Jundt et al, 2015; Krishnaiyer et al, 2013; Lai et al, 2014; Liu et al, 2015; Lopez et al, 2015; Mathew et al, 2015; Misra et al, 2013; Newburn et al, 2013; Park et al, 2013; Saini et al, 2015; Sainz et al, 2015; Saule et al, 2014; Teodoro et al, 2014), it was found the Xeon Phi outperformed the CPU, and only two works found the CPU to be better (Li et al, 2014; Luo et al, 2013). Hence, Xeon Phi was found to be a promising accelerator.…”
Section: Introductionmentioning
confidence: 99%
“…In this way, heterogeneous computing systems have emerged as an important contribution to provide computational capacity in high‐performance computing. In fact, the prevalence of heterogeneous systems in the TOP500 list grew from 3.4% to 18.0% between June 2010 and June 2015 . Hence, one of the important and challenging issues in parallel and distributed computing systems is heterogeneity…”
Section: Introductionmentioning
confidence: 99%
“…In fact, the prevalence of heterogeneous systems in the TOP500 list grew from 3.4% to 18.0% between June 2010 and June 2015. 13 Hence, one of the important and challenging issues in parallel and distributed computing systems is heterogeneity. 14 In this paper, we target clusters of heterogeneous nodes each having different computational powers but do not address GPU accelerators.…”
Section: Introductionmentioning
confidence: 99%