Programming for High-Performance Computing on Edge Accelerators
The field of edge computing has grown considerably over the past few years, with applications in artificial intelligence and big data processing, particularly due to its powerful accelerators offering a large amount of hardware parallelism. As the computing power of the latest edge systems increases...
| Main Author: | |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-02-01
|
| Series: | Mathematics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2227-7390/11/4/1055 |
| _version_ | 1797619495620050944 |
|---|---|
| author | Pilsung Kang |
| author_facet | Pilsung Kang |
| author_sort | Pilsung Kang |
| collection | DOAJ |
| description | The field of edge computing has grown considerably over the past few years, with applications in artificial intelligence and big data processing, particularly due to its powerful accelerators offering a large amount of hardware parallelism. As the computing power of the latest edge systems increases, applications of edge computing are being expanded to areas that have traditionally required substantially high-performant computing resources such as scientific computing. In this paper, we review the latest literature and present the current status of research for implementing high-performance computing (HPC) on edge devices equipped with parallel accelerators, focusing on software environments including programming models and benchmark methods. We also examine the applicability of existing approaches and discuss possible improvements necessary towards realizing HPC on modern edge systems. |
| first_indexed | 2024-03-11T08:28:45Z |
| format | Article |
| id | doaj.art-cf30a56ff8704023b976fae19c73b946 |
| institution | Directory Open Access Journal |
| issn | 2227-7390 |
| language | English |
| last_indexed | 2024-03-11T08:28:45Z |
| publishDate | 2023-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Mathematics |
| spelling | doaj.art-cf30a56ff8704023b976fae19c73b9462023-11-16T21:57:44ZengMDPI AGMathematics2227-73902023-02-01114105510.3390/math11041055Programming for High-Performance Computing on Edge AcceleratorsPilsung Kang0Department of Software Science, Dankook University, Yongin 16890, Republic of KoreaThe field of edge computing has grown considerably over the past few years, with applications in artificial intelligence and big data processing, particularly due to its powerful accelerators offering a large amount of hardware parallelism. As the computing power of the latest edge systems increases, applications of edge computing are being expanded to areas that have traditionally required substantially high-performant computing resources such as scientific computing. In this paper, we review the latest literature and present the current status of research for implementing high-performance computing (HPC) on edge devices equipped with parallel accelerators, focusing on software environments including programming models and benchmark methods. We also examine the applicability of existing approaches and discuss possible improvements necessary towards realizing HPC on modern edge systems.https://www.mdpi.com/2227-7390/11/4/1055edge computingparallel systemshigh-performance computingGPU (Graphics Processing Unit)acceleratorsprogramming model |
| spellingShingle | Pilsung Kang Programming for High-Performance Computing on Edge Accelerators Mathematics edge computing parallel systems high-performance computing GPU (Graphics Processing Unit) accelerators programming model |
| title | Programming for High-Performance Computing on Edge Accelerators |
| title_full | Programming for High-Performance Computing on Edge Accelerators |
| title_fullStr | Programming for High-Performance Computing on Edge Accelerators |
| title_full_unstemmed | Programming for High-Performance Computing on Edge Accelerators |
| title_short | Programming for High-Performance Computing on Edge Accelerators |
| title_sort | programming for high performance computing on edge accelerators |
| topic | edge computing parallel systems high-performance computing GPU (Graphics Processing Unit) accelerators programming model |
| url | https://www.mdpi.com/2227-7390/11/4/1055 |
| work_keys_str_mv | AT pilsungkang programmingforhighperformancecomputingonedgeaccelerators |