Paper Info
Title
Survey of Methodologies, Approaches, and Challenges in Parallel Programming Using High-Performance Computing Systems
Abstract
AbstractThis paper provides a review of contemporary methodologies and APIs for parallel programming, with representative technologies selected in terms of target system type (shared memory, distributed, and hybrid), communication patterns (one-sided and two-sided), and programming abstraction level. We analyze representatives in terms of many aspects including programming model, languages, supported platforms, license, optimization goals, ease of programming, debugging, deployment, portability, level of parallelism, constructs enabling parallelism and synchronization, features introduced in recent versions indicating trends, support for hybridity in parallel execution, and disadvantages. Such detailed analysis has led us to the identification of trends in high-performance computing and of the challenges to be addressed in the near future. It can help to shape future versions of programming standards, select technologies best matching programmers’ needs, and avoid potential difficulties while using high-performance computing systems.
Year
DOI
Venue
2020
10.1155/2020/4176794
Periodicals
DocType
Volume
Issue
Journal
2020
1
ISSN
Citations 
PageRank 
1058-9244
0
0.34
References 
Authors
0
3
Name
Order
Citations
PageRank
Pawel Czarnul112121.11
Jerzy Proficz2318.24
Krzysztof Drypczewski300.34