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Article . 2023
License: CC BY
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Visual Studio Code (VSCode) on HPC Clusters: Unleashing the Power of Visual Studio Code for High-Performance Computing

Authors: Zhang, Zhiyong;

Visual Studio Code (VSCode) on HPC Clusters: Unleashing the Power of Visual Studio Code for High-Performance Computing

Abstract

Visual Studio Code (VSCode) has emerged as one of the most popular development tools among professional developers and programmers, offering a versatile and powerful coding environment. However, configuring and setting up VSCode to work effectively within the unique environment of a shared High-Performance Computing (HPC) cluster remains a challenge. This discusses the configuration and integration of VSCode with the diverse and demanding environments typically found on HPC clusters. We demonstrate how to configure and set up VSCode to take full advantage of its capabilities while ensuring seamless integration with HPC-specific resources and tools. Our objective is to enable developers to harness the power of VSCode for HPC applications, resulting in improved productivity, better code quality, and accelerated scientific discovery.

Related Organizations
Keywords

High-Performance Computing, Debug, Singularity, VSCode, container, Python

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average