会議情報
PEARC 2025: Practice & Experience in Advanced Research Computing Conference
https://pearc.acm.org/pearc25/
提出日:
2025-03-29
通知日:
2025-05-03
会議日:
2025-07-20
場所:
Columbus, Ohio, USA
年:
9
閲覧: 8014   追跡: 0   出席: 1

論文募集
Track 1: Applications and Software
Co-Chairs: Jason Yalim and Karen Tomko

Papers in this track will interest researchers, software developers, students, and educators.

Papers will focus on practice and experience relating to the use of advanced research computing to address problems in the physical and life sciences, social sciences, arts and humanities, computer science, engineering, education, manufacturing, government, and other fields.

Examples of relevant topics include the development of domain-specific software; applications of and application software for GPUs, novel CPUs, FPGAs, or other advanced hardware; optimization, parallelization, or other enhancements to existing software; advanced visualization techniques; science gateways and other novel ways to access advanced computing; workflow management systems; cost-effective use of cloud and on-premise HPC resources; advanced user support; scientific results, insights, or breakthroughs enabled by research computing; tools, libraries, middleware, and frameworks that lead to more effective use of computational and data resources; approaches to scientific code design patterns, security, and reusability; and applications of machine learning techniques.

Track 2: Systems and System Software
Co-Chairs: Richard Knepper and John Huffman

Papers in this track will interest system administrators, network administrators, and cybersecurity specialists.

Papers will focus on practice and experience related to physical or virtual systems (compute, storage, visualization, instruments, and networking), system software for managing hardware, middleware and interoperability, virtualization and containerization, and operating distributed cyberinfrastructures and research computing environments.

Examples of relevant topics include containerized solutions; job scheduling; monitoring and usage analysis; fault detection and repair; software stack management; experience with advanced storage systems; hardware and systems for data-centric computing; networking challenges; design and use of visualization environments; design, deployment, and maintenance of virtualized environments; funding and operating of advanced research computing facilities (including considerations of cost of locally-sited hardware vs. remote hardware such as cloud facilities); systems procurement; systems administration; cybersecurity; practice and experience in facilitating the acquisition, operation, and use of advanced hardware, software, networks and services to advance research, scholarship, and creativity securely and sustainably; data center energy efficiency, hardware life cycle and other environmental impacts; operational performance comparisons and performance aspects of cloud environments. Submissions covering both established state of practice as and novel research in operations are welcome.

Track 3: Workforce Development, Training, Diversity, and Education
Co-Chairs: Gladys Andino and Christina Gancayco

Papers in this track will interest educators, research computing and data (RCD) professionals, executive leadership, early career professionals, and students.

Papers will focus on practice and experience in developing and sustaining advanced research computing as a profession, and developing a highly proficient workforce that realizes the full potential of people in all demographic groups.

Examples of relevant topics include training in advanced research computing; curriculum development for STEM, computer science, data science, and computational sciences; learning technologies; case studies involving underserved communities and groups traditionally underrepresented in STEM fields; career and workplace improvement (leadership opportunities, coaching and/or mentoring opportunities as part of a leadership development experience, community recognition of the value of research computing and data professionals, creating an inclusive environment); professional development in relevant professional and technical skills; and defining research computing and data career tracks.
最終更新 Dou Sun 2024-11-24
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