Abstract
Clippy (CLI + PYthon) is a Python language interface to HPC resources. Precompiled binaries that execute on HPC systems are exposed as methods to a dynamically-created Clippy Python object, where they present a familiar interface to researchers, data scientists, and others. Clippy allows these users to interact with HPC resources in an easy, straightforward environment - at the REPL, for example, or within a notebook - without the need to learn complex HPC behavior and arcane job submission commands.
- Developers:
-
Bromberger, Seth [1] ; Pearce, Roger [1] ; Park, Jae [1]
- Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
- Release Date:
- 2021-01-01
- Project Type:
- Open Source, Publicly Available Repository
- Software Type:
- Scientific
- Version:
- 0.1.0
- Licenses:
-
MIT License
- Sponsoring Org.:
-
USDOE National Nuclear Security Administration (NNSA)Primary Award/Contract Number:AC52-07NA27344
- Code ID:
- 68196
- Site Accession Number:
- LLNL-CODE- 818157
- Research Org.:
- Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)
- Country of Origin:
- United States
Citation Formats
Bromberger, Seth A., Pearce, Roger A., and Park, Jae S.
Clippy.
Computer Software.
https://github.com/LLNL/clippy.
USDOE National Nuclear Security Administration (NNSA).
01 Jan. 2021.
Web.
doi:10.11578/dc.20211210.4.
Bromberger, Seth A., Pearce, Roger A., & Park, Jae S.
(2021, January 01).
Clippy.
[Computer software].
https://github.com/LLNL/clippy.
https://doi.org/10.11578/dc.20211210.4.
Bromberger, Seth A., Pearce, Roger A., and Park, Jae S.
"Clippy." Computer software.
January 01, 2021.
https://github.com/LLNL/clippy.
https://doi.org/10.11578/dc.20211210.4.
@misc{
doecode_68196,
title = {Clippy},
author = {Bromberger, Seth A. and Pearce, Roger A. and Park, Jae S.},
abstractNote = {Clippy (CLI + PYthon) is a Python language interface to HPC resources. Precompiled binaries that execute on HPC systems are exposed as methods to a dynamically-created Clippy Python object, where they present a familiar interface to researchers, data scientists, and others. Clippy allows these users to interact with HPC resources in an easy, straightforward environment - at the REPL, for example, or within a notebook - without the need to learn complex HPC behavior and arcane job submission commands.},
doi = {10.11578/dc.20211210.4},
url = {https://doi.org/10.11578/dc.20211210.4},
howpublished = {[Computer Software] \url{https://doi.org/10.11578/dc.20211210.4}},
year = {2021},
month = {jan}
}