Errors Classification and Static Detection Techniques for Dual-Programming Model (OpenMP and OpenACC)

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Basloom, Huda SalehKing Abdulaziz Univ, Fac Comp & Informat Technol, Dept Comp Sci, Jeddah 21514, Saudi Arabia. (author)

Errors Classification and Static Detection Techniques for Dual-Programming Model (OpenMP and OpenACC)

Article/chapterEnglish2022

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Institute of Electrical and Electronics Engineers (IEEE),2022
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LIBRIS-ID:oai:DiVA.org:kth-322203
https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-322203URI
https://doi.org/10.1109/ACCESS.2022.3219406DOI

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Language:English
Summary in:English

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Subject category:art swepub-publicationtype

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QC 20221206
Recently, incorporating more than one programming model into a system designed for high performance computing (HPC) has become a popular solution to implementing parallel systems. Since traditional programming languages, such as C, C++, and Fortran, do not support parallelism at the level of multi-core processors and accelerators, many programmers add one or more programming models to achieve parallelism and accelerate computation efficiently. These models include Open Accelerators (OpenACC) and Open Multi-Processing (OpenMP), which have recently been used with various models, including Message Passing Interface (MPI) and Compute Unified Device Architecture (CUDA). Due to the difficulty of predicting the behavior of threads, runtime errors cannot be predicted. The compiler cannot identify runtime errors such as data races, race conditions, deadlocks, or livelocks. Many studies have been conducted on the development of testing tools to detect runtime errors when using programming models, such as the combinations of OpenACC with MPI models and OpenMP with MPI. Although more applications use OpenACC and OpenMP together, no testing tools have been developed to test these applications to date. This paper presents a testing tool for detecting runtime using a static testing technique. This tool can detect actual and potential runtime errors during the integration of the OpenACC and OpenMP models into systems developed in C++. This tool implement error dependency graphs, which are proposed in this paper. Additionally, a dependency graph of the errors is provided, along with a classification of runtime errors that result from combining the two programming models mentioned earlier.

Subject headings and genre

NATURVETENSKAP Data- och informationsvetenskap Datavetenskap hsv//swe
NATURAL SCIENCES Computer and Information Sciences Computer Sciences hsv//eng
TEKNIK OCH TEKNOLOGIER Elektroteknik och elektronik Datorsystem hsv//swe
ENGINEERING AND TECHNOLOGY Electrical Engineering, Electronic Engineering, Information Engineering Computer Systems hsv//eng
Parallel programming
high-performance computing
OpenMP
OpenACC
deadlock
runtime errors
race condition
static testing
software testing
testing tools classifications
exascale systems
programming models

Added entries (persons, corporate bodies, meetings, titles ...)

Dahab, Mohamed YehiaKing Abdulaziz Univ, Fac Comp & Informat Technol, Dept Comp Sci, Jeddah 21514, Saudi Arabia.;Agr Res Ctr ARC, Giza 12619, Egypt. (author)
Alghamdi, Ahmed MohammedUniv Jeddah, Coll Comp Sci & Engn, Dept Software Engn, Jeddah 21493, Saudi Arabia. (author)
Eassa, Fathy ElbouraeyKing Abdulaziz Univ, Fac Comp & Informat Technol, Dept Comp Sci, Jeddah 21514, Saudi Arabia. (author)
Al-Ghamdi, Abdullah Saad Al-MalaiseKing Abdulaziz Univ, Fac Comp & Informat Technol, Dept Informat Syst, Jeddah 21589, Saudi Arabia. (author)
Haridi, Seif,1953-KTH,Programvaruteknik och datorsystem, SCS(Swepub:kth)u1j6y2uf (author)
King Abdulaziz Univ, Fac Comp & Informat Technol, Dept Comp Sci, Jeddah 21514, Saudi Arabia.King Abdulaziz Univ, Fac Comp & Informat Technol, Dept Comp Sci, Jeddah 21514, Saudi Arabia.;Agr Res Ctr ARC, Giza 12619, Egypt. (creator_code:org_t)

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In:IEEE Access: Institute of Electrical and Electronics Engineers (IEEE)10, s. 117808-1178262169-3536

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