2021 IEEE SERVICES - IEEE International Symposium on Cloud HPC (CloudHPC)
Symposium Technical Program
DATE | TIME | SESSION CHAIR | PRESENTATION |
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TUES 9/7 | 17:10 - 18:30 UTC (12:10 - 13:30 CDT) SERVICES CONGRESS PLENARY PANEL |
Dennis Gannon Indiana University |
CLOUD HPC: EXPLORING THE GROWING SYNERGY BETWEEN CLOUD AND HIGH PERFORMANCE COMPUTING Panelists: Katherine Yelick, UC Berkeley and Lawrence Berkeley National Laboratory Ian Foster, Argonne National Laboratory, University of Chicago Geoffrey Fox, University of Virginia Kate Keahey, Argonne National Laboratory, University of Chicago |
TUES 9/7 | 18:50 - 20:10 UTC (US CDT: 13:50 - 15:10) CLDHPC 1 Cloud & Heterogeneous Architectures & Opportunities for HPC |
Ian Foster Argonne National Laboratory University of Chicago |
Advancing Hybrid Cloud HPC Workflows Across State of the Art Heterogeneous Infrastructures Steve Hebert, Nimbix Founder and CEO |
The impact of the rise in cloud-based HPC Brent Gorda, ARM Director HPC Business |
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HPC in a box: accelerating research with Google Cloud Alexander Titus, Google Cloud |
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TUES 9/7 | 20:20 - 21:40 UTC (US CDT: 15:20 - 16:40) CLDHPC 2 HPCI in Biology & Medicine in the Cloud |
Dennis Gannon Indiana University |
Computational Biology at the Exascale Katherine Yelick, UC Berkeley and Lawrence Berkeley National Laboratory |
HySec-Flow: Privacy-Preserving Genomic Computing with SGX-based Big-Data Analytics Framework Judy Fox, Professor, University of Virginia |
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An automated self-service multi-cloud HPC platform applied to the simulation of cardiac valve disease with machine learning Wolfgang Gentzsch, UberCloud, Founder & President |
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WED 9/8 | 16:30 - 17:50 UTC (US CDT: 11:30 - 12:50) CLDHPC 3 Using HPC to Enable AI at Scale |
Dennis Gannon Indiana University |
Grand Challenges for Humanity: Cloud Scale Impact and Opportunities Debra Goldfarb, Amazon, Director HPC Products & Strategy |
Enabling AI at scale on Azure Prabhat Ram, Microsoft, Azure HPC |
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Benchmarking for AI for Science in the Cloud: Challenges and Opportunities Jeyan Thiyagalingam, STFC, UK, Head of SciML Group |
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WED 9/8 | 19:40 - 21:00 UTC (US CDT: 14:40 - 16:00) CLDHPC 4 Applications of Cloud Native Technology to HPC in the Cloud |
Christoph Hagleitner IBM |
Serverless Supercomputing: High Performance Function as a Service Kyle Chard, Professor, University of Chicago |
Minding the Gap: Navigating the transition from traditional HPC to cloud native development Bruce D'Amora, IBM Research |
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Composable Systems: An Early Application Experience Ilkay Altintas, SDSC, Chief Data Science Officer |
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WED 9/8 | 5:40 - 7:00 UTC (US CDT: 0:40 - 2:00) CLOUD HPC 1 Part of the IEEE CLOUD Conference |
Christoph Hagleitner IBM |
CLD_REG_123 T2FA: A Heuristic Algorithm for Deadline-constrained Workflow Scheduling in Cloud with Multicore Resource Zaixing Sun, Chonglin Gu, Honglin Zhang and Hejiao Huang |
CLD_REG_137 A Case for Function-as-a-Service with Disaggregated FPGAs Burkhard Ringlein, Francois Abel, Dionysios Diamantopoulos, Beat Weiss, Christoph Hagleitner, Marc Reichenbach and Dietmar Fey |
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THU 9/9 | 18:10 - 19:30 UTC (US CDT: 13:10 - 14:30) CLDHPC 5 Distributed Computing Issues for HPC in the Cloud |
Geoffrey Fox University of Virginia |
Challenges of Distributed Computing for Pandemic Spread Prediction based on Large Scale Human Interaction Data Haiying Shen, Professor, University of Virginia |
GreenDataFlow: Minimizing the Energy Footprint of Cloud/HPC Data Movement Tevfik Kosar, Professor, University of Buffalo & NSF |
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IMPECCABLE: A Dream Pipeline for High-Throughput Virtual Screening, or a Pipe Dream? Shantenu Jha, Professor, Rutgers University |
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THU 9/9 | 19:40 - 12:00 US CDT: 14:40 - 16:00) CLDHPC 6 Cloud HPC Barriers & Opportunities |
Bruce D'Amora IBM |
The Future of OpenShift Carlos Eduardo Arango Gutierrez, Red Hat, HPC OpenShift Manager |
Scientific Computing On Low-cost Transient Cloud Servers Prateek Sharma, Indiana University |
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HW-accelerated HPC in the cloud: Barriers and Opportunities Christoph Hagleitner, IBM Research |
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SAT 9/11 | 1:00 - 2:20 UTC (US CDT 19:00 - 21:20) CLOUD HPC 2 Part of the IEEE CLOUD Conference |
Andrew Lumsdaine University of Washington |
CLD_REG_207 Usage Trends Aware VM Placement in Academic Research Computing Clouds Mohamed Elsakhawy and Michael Bauer |
CLD_REG_210 Neon: Low-Latency Streaming Pipelines for HPC Pierre Matri and Robert Ross |
Call for Papers
Cloud computing is traditionally defined in terms of data and compute services that support on-demand applications that scale to thousands of simultaneous users. High Performance Computing (HPC) is associated with massive supercomputers that run highly parallel programs for small groups of users. However, over the last five years, the demands of the scientific and engineering research community have created an evolutionary pressure to merge the best innovations of these two models. HPC centers have started to use cloud-native technologies like data object stores and cloud tools and processes to develop and deploy software. On the other side, cloud data centers are integrating advanced accelerators on each node and deploy high-performance interconnects with latency optimizations known from HPC. Furthermore, the AI revolution that was initially nurtured by the public cloud companies with their hyperscale datacenters, is increasingly finding adoption in the scientific and engineering applications on supercomputers.
The IEEE CloudHPC Symposium will explore all aspects of the growing synergy between Cloud computing and HPC. Topics of special interest include the following:
- HPC workflows using hybrid cloud and supercomputer configurations
- Innovative tools and usage for (Cloud) HPC application developers
- Scalability, performance optimization and benchmarking in Cloud HPC
- Next generation interactive operating environments for hybrid cloud deployments combining on-prem and cloud infrastructure
- The evolution and deployment of advanced accelerators (GPUs, FPGAs, TPUs, etc.) in Cloud HPC
- The role of cloud-native infrastructure (including containers, Kubernetes and notebooks) to solve significant scientific and engineering problems
- The future of MPI in Cloud HPC
- An exploration of the role Cloud HPC played in the pandemic response
- Using advanced AI methods in the cloud for improving science and business outcomes
- Industry design, engineering, and/or automation enabled by advanced Cloud HPC technologies
- The unique security challenges in Cloud HPC
The inaugural IEEE CloudHPC Symposium provides a forum for leading researchers, practitioners, and visionaries to share their R&D findings, experiences, and/or visions of Cloud HPC. It will be held as a cross-conference event at IEEE SERVICES 2021, featuring distinguished speeches, panels, invited talks/presentations, and joint research paper presentations with IEEE CLOUD 2021. Please stay tuned for program updates. We extend an invitation to all to participate and make it a success.
MANUSCRIPT GUIDELINES AND SUBMISSION INFORMATION
Please download the paper template in WORD, LaTeX or Overleaf.
Language: English
Paper size and format: US Letter; Two-column format in the IEEE style
Page limit: * Every full paper submission can include up to 10 pages for the main contents (including all text, footnotes, figures, tables and appendices) with additional pages for appropriate references.
* Up to three pages for panel position statement submission (including main contents and references).
SUBMISSION LINK
Please submit your papers to the Symposium via EasyChair at https://easychair.org/conferences/?conf=ieeeservices2021
PUBLICATION
All submissions will be reviewed by the Program Committee. Accepted papers of the Symposium will be included in the Congress proceedings for IEEE CLOUD 2021 and published in IEEE Xplore.
IMPORTANT DATES (at 5:00 AM UTC)
Paper submission due: 20 June 2021
Notification to authors: 5 July 2021
Camera-ready and registration due: 15 July 2021
Organization
Honorary General ChairsIan Foster, University of Chicago/ANL
Geoffrey C. Fox, Indiana University
General Chairs
Dennis Gannon, Indiana University
James Sexton, IBM Research, TJ Watson Research Center
Program Chairs
Christoph Hagleitner, IBM Research, TJ Watson Research Center
Andrew Lumsdaine, University of Washington