Recent Progress on Parallel Processing Techniques for Computational Engineering

Authors
Minseong KimWoochan LeeMoonseong KimJaeyoung Park
Issue Date
2019-12
Publisher
KSII
Citation
11th International Conference on Internet (ICONI) 2019
Abstract
This paper represents a survey on current trends in parallel computing for artificial intelligence (AI) and machine learning (ML). As recent AI/ML technology is highly advanced, new computing models such as edge computing is proposed in order to reduce latency and bandwidth. Edge computing processes data close to the source of data, thus heterogeneous computing and networking technology are inevitable to support edge computing. Software model for parallel computing is another mainstream. It is expected that the hardware and software developments for edge computing and parallel computing software model are to be active.
Keywords
Parallel Processing; Computations; Machine Learning; Edge Computing
ISSN
2093-0542
URI
https://pubs.kist.re.kr/handle/201004/78281
Appears in Collections:
KIST Conference Paper > 2019
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