2018
DOI: 10.1007/978-3-030-02465-9_47
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Lessons Learned from a Decade of Providing Interactive, On-Demand High Performance Computing to Scientists and Engineers

Abstract: For decades, the use of HPC systems was limited to those in the physical sciences who had mastered their domain in conjunction with a deep understanding of HPC architectures and algorithms. During these same decades, consumer computing device advances produced tablets and smartphones that allow millions of children to interactively develop and share code projects across the globe. As the HPC community faces the challenges associated with guiding researchers from disciplines using high productivity interactive … Show more

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Cited by 4 publications
(3 citation statements)
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References 22 publications
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“…The LLSC has a long history of lowering the barrier to entry for supercomputing practitioners by creating an environment where researchers can focus on short term mission driven applications [9]. As it became apparent that researchers needed a simplified, intuitive approach for job monitoring, the team began to design a tool that would…”
Section: Llload 21 Designmentioning
confidence: 99%
“…The LLSC has a long history of lowering the barrier to entry for supercomputing practitioners by creating an environment where researchers can focus on short term mission driven applications [9]. As it became apparent that researchers needed a simplified, intuitive approach for job monitoring, the team began to design a tool that would…”
Section: Llload 21 Designmentioning
confidence: 99%
“…• Introductory and Learner level: Michael Nielsen's book [25] and tutorials [17,18,23,24] are one of the most welcoming when it comes to introduction for QC. As previously mentioned by [20][21][22], games and interactive environments have significant importance in education and training in HPC, and there are also QC-related games available [7,32]. There are several very well-prepared materials such as Qiskit textbook [8,31] Tensorflow Quantum [10], Cirq [13], Pennylane Tutorials [9], however, they are tailored for specific SDKs and hardware.…”
Section: Quantum Computingmentioning
confidence: 99%
“…For over a decade, the MIT Lincoln Laboratory Supercomputer Center (LLSC) has enabled interactive, on-demand high performance computing [14], [15] by integrating highproductivity tools with traditional HPC systems to enable the prototyping and development of a wide range of scientific applications. As machine learning (ML) workflows have occupied an increasingly large proportion of the types of jobs running on the system, we have developed new tools that support interactive web-based environments [16] such as Jupyter notebooks for prototyping machine learning applications.…”
Section: System Architecturementioning
confidence: 99%