Sandstone HPC

Sampedro, Zebula; Hauser, Thomas; Sood, Saurabh

doi:10.1145/3093338.3093360

Cited by 5 publications

(2 citation statements)

References 6 publications

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“…When development is staff-driven, the option exists to build around common base technologies and reduce the cognitive load on both development and support staff. Moreover, if the staff-deployed usability technologies are sufficiently flexible, they may displace some demand for user-selected software by substituting domaingeneral platforms for domain-specific gateways [7].…”

Section: Introductionmentioning

confidence: 99%

“…The Minnesota Supercomputing Institute (MSI) at the University of Minnesota has adopted a goal of supporting Interactive HPC as a first-class service. The availability of interactive services can provide significant benefits for data visualization and exploration [15], workflow prototyping [7], and training [5]. This mode of operation is strongly desired by currently-existing users, who are routinely willing to sacrifice performance (by computing on local resources) or cost (by purchasing access to external cloud computing resources) to achieve flexibility not offered by traditional HPC.…”

Section: Introductionmentioning

confidence: 99%

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Jupyter as Common Technology Platform for Interactive HPC Services

Milligan

2018

Proceedings of the Practice and Experience on Advanced Research Computing

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The Minnesota Supercomputing Institute has implemented Jupyterhub and the Jupyter notebook server as a general-purpose pointof-entry to interactive high performance computing services. This mode of operation runs counter to traditional job-oriented HPC operations, but offers significant advantages for ease-of-use, data exploration, prototyping, and workflow development. From the user perspective, these features bring the computing cluster nearer to parity with emerging cloud computing options. On the other hand, retreating from fully-scheduled, job-based resource allocation poses challenges for resource availability and utilization efficiency, and can involve tools and technologies outside the typical core competencies of a supercomputing center's operations staff. MSI has attempted to mitigate these challenges by adopting Jupyter as a common technology platform for interactive services, capable of providing command-line, graphical, and workflow-oriented access to HPC resources while still integrating with job scheduling systems and using existing compute resources. This paper will describe the mechanisms that MSI has put in place, advantages for research and instructional uses, and lessons learned.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Jupyter as Common Technology Platform for Interactive HPC Services

Milligan

2018

Proceedings of the Practice and Experience on Advanced Research Computing

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Visual Low-Code Language for Orchestrating Large-Scale Distributed Computing

et al. 2023

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Distributed, large-scale computing is typically performed using textual general-purpose programming languages. This requires significant programming skills associated with the parallelisation and distribution of computations. In this paper, we present a visual (graphical) programming language called the Computation Application Language (CAL) to raise abstraction in distributed computing. CAL programs define computation workflows by visualising data flowing between computation units. The goal is to reduce the amount of traditional code needed and thus facilitate development even by non-professional programmers. The language follows the low-code paradigm, i.e. its implementation (the editor and the runtime system) is available online. We formalise the language by defining its syntax using a metamodel and specifying its semantics using a two-step approach. We define a translation of CAL into an intermediate language which is then defined using an operational approach. This formalisation was used to develop a programming and execution environment. The environment orchestrates computations by interpreting the intermediate language and managing the instantiation of computation modules using data tokens. We also present an explanatory case-study example that shows a practical application of the language.

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Web Portals for High-performance Computing

Calegari

Levrier

Balczyński³

2019

ACM Trans. Web

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This article addresses web interfaces for High-performance Computing (HPC) simulation software. First, it presents a brief history, starting in the 1990s with Java applets, of web interfaces used for accessing and making best possible use of remote HPC resources. It introduces HPC web-based portal use cases. Then it identifies and discusses the key features, among functional and non-functional requirements, that characterize such portals. A brief state of the art is then presented. The design and development of Bull extreme factory Computing Studio v3 (XCS3) is chosen as a common thread for showing how the identified key features can all be implemented in one software: multi-tenancy, multi-scheduler compatibility, complete control through an HTTP RESTful API, customizable user interface with Responsive Web Design, HPC application template framework, remote visualization, and access through the Authentication, Authorization, and Accounting security framework with the Role-Based Access Control permission model. Non-functional requirements (security, usability, performance, reliability) are discussed, and the article concludes by giving perspective for future work. CCS Concepts: • Human-centered computing → Graphical user interfaces; • Information systems → RESTful web services; • Computing methodologies → Massively parallel and high-performance simulations; • Software and its engineering → Cloud computing;

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Sandstone HPC

Cited by 5 publications

References 6 publications

Jupyter as Common Technology Platform for Interactive HPC Services

Jupyter as Common Technology Platform for Interactive HPC Services

Visual Low-Code Language for Orchestrating Large-Scale Distributed Computing

Web Portals for High-performance Computing

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