1,732 research outputs found
Lattice QCD Application Development within the US DOE Exascale Computing Project
In October, 2016, the US Department of Energy launched the Exascale Computing
Project, which aims to deploy exascale computing resources for science and
engineering in the early 2020's. The project brings together application teams,
software developers, and hardware vendors in order to realize this goal.
Lattice QCD is one of the applications. Members of the US lattice gauge theory
community with significant collaborators abroad are developing algorithms and
software for exascale lattice QCD calculations. We give a short description of
the project, our activities, and our plans.Comment: 35th International Symposium on Lattice Field Theory (Lattice 2017
DALiuGE: A Graph Execution Framework for Harnessing the Astronomical Data Deluge
The Data Activated Liu Graph Engine - DALiuGE - is an execution framework for
processing large astronomical datasets at a scale required by the Square
Kilometre Array Phase 1 (SKA1). It includes an interface for expressing complex
data reduction pipelines consisting of both data sets and algorithmic
components and an implementation run-time to execute such pipelines on
distributed resources. By mapping the logical view of a pipeline to its
physical realisation, DALiuGE separates the concerns of multiple stakeholders,
allowing them to collectively optimise large-scale data processing solutions in
a coherent manner. The execution in DALiuGE is data-activated, where each
individual data item autonomously triggers the processing on itself. Such
decentralisation also makes the execution framework very scalable and flexible,
supporting pipeline sizes ranging from less than ten tasks running on a laptop
to tens of millions of concurrent tasks on the second fastest supercomputer in
the world. DALiuGE has been used in production for reducing interferometry data
sets from the Karl E. Jansky Very Large Array and the Mingantu Ultrawide
Spectral Radioheliograph; and is being developed as the execution framework
prototype for the Science Data Processor (SDP) consortium of the Square
Kilometre Array (SKA) telescope. This paper presents a technical overview of
DALiuGE and discusses case studies from the CHILES and MUSER projects that use
DALiuGE to execute production pipelines. In a companion paper, we provide
in-depth analysis of DALiuGE's scalability to very large numbers of tasks on
two supercomputing facilities.Comment: 31 pages, 12 figures, currently under review by Astronomy and
Computin
CFD Vision 2030 Study: A Path to Revolutionary Computational Aerosciences
This report documents the results of a study to address the long range, strategic planning required by NASA's Revolutionary Computational Aerosciences (RCA) program in the area of computational fluid dynamics (CFD), including future software and hardware requirements for High Performance Computing (HPC). Specifically, the "Vision 2030" CFD study is to provide a knowledge-based forecast of the future computational capabilities required for turbulent, transitional, and reacting flow simulations across a broad Mach number regime, and to lay the foundation for the development of a future framework and/or environment where physics-based, accurate predictions of complex turbulent flows, including flow separation, can be accomplished routinely and efficiently in cooperation with other physics-based simulations to enable multi-physics analysis and design. Specific technical requirements from the aerospace industrial and scientific communities were obtained to determine critical capability gaps, anticipated technical challenges, and impediments to achieving the target CFD capability in 2030. A preliminary development plan and roadmap were created to help focus investments in technology development to help achieve the CFD vision in 2030
Status and progress of China SKA Regional Centre prototype
The Square Kilometre Array (SKA) project consists of delivering two largest
radio telescope arrays being built by the SKA Observatory (SKAO), which is an
intergovernmental organization bringing together nations from around the world
with China being one of the major member countries. The computing resources
needed to process, distribute, curate and use the vast amount of data that will
be generated by the SKA telescopes are too large for the SKAO to manage on its
own. To address this challenge, the SKAO is working with the international
community to create a shared, distributed data, computing and networking
capability called the SKA Regional Centre Alliance. In this model, the SKAO
will be supported by a global network of SKA Regional Centres (SRCs)
distributed around the world in its member countries to build an end-to-end
science data system that will provide astronomers with high-quality science
products. SRCs undertake deep processing, scientific analysis, and long-term
storage of the SKA data, as well as user support. China has been actively
participating in and promoting the construction of SRCs. This paper introduces
the international cooperation and ongoing prototyping of the global SRC
network, the construction plan of the China SRC and describes in detail the
China SRC prototype. The paper also presents examples of scientific
applications of SKA precursor and pathfinder telescopes completed using
resources from the China SRC prototype. Finally, the future prospects of the
China SRC are presented.Comment: T. An, et al. Status and progress of China SKA Regional Centre
prototype. Sci. China-Phys. Mech. Astron. 65: 129501 (2022
Measuring Success for a Future Vision: Defining Impact in Science Gateways/Virtual Research Environments
Scholars worldwide leverage science gateways/VREs for a wide variety of research and education endeavors spanning diverse scientific fields. Evaluating the value of a given science gateway/VRE to its constituent community is critical in obtaining the financial and human resources necessary to sustain operations and increase adoption in the user community. In this paper, we feature a variety of exemplar science gateways/VREs and detail how they define impact in terms of e.g., their purpose, operation principles, and size of user base. Further, the exemplars recognize that their science gateways/VREs will continuously evolve with technological advancements and standards in cloud computing platforms, web service architectures, data management tools and cybersecurity. Correspondingly, we present a number of technology advances that could be incorporated in next-generation science gateways/VREs to enhance their scope and scale of their operations for greater success/impact. The
exemplars are selected from owners of science gateways in the Science Gateways Community Institute (SGCI) clientele in the United States, and from the owners of VREs in the International Virtual Research Environment Interest Group (VRE-IG) of the Research Data Alliance. Thus, community-driven best practices and technology advances are compiled from diverse expert groups with an international perspective
to envisage futuristic science gateway/VRE innovations
- …