TY - GEN
T1 - Lessons Learned from a Decade of Providing Interactive, On-Demand High Performance Computing to Scientists and Engineers
AU - Mullen, Julia
AU - Reuther, Albert
AU - Arcand, William
AU - Bergeron, Bill
AU - Bestor, David
AU - Byun, Chansup
AU - Gadepally, Vijay
AU - Houle, Michael
AU - Hubbell, Matthew
AU - Jones, Michael
AU - Klein, Anna
AU - Michaleas, Peter
AU - Milechin, Lauren
AU - Prout, Andrew
AU - Rosa, Antonio
AU - Samsi, Siddharth
AU - Yee, Charles
AU - Kepner, Jeremy
N1 - Funding Information:
This material is based upon work supported by the Assistant Secretary of Defense for Research and Engineering under Air Force Contract No. FA8721-05-C-0002 and/or FA8702-15-D-0001. Any opinions, findings, conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the Assistant Secretary of Defense for Research and Engineering.
Publisher Copyright:
© 2018, Springer Nature Switzerland AG.
PY - 2018
Y1 - 2018
N2 - 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 tools to effective use of HPC systems, it seems appropriate to revisit the assumptions surrounding the necessary skills required for access to large computational systems. For over a decade, MIT Lincoln Laboratory has been supporting interactive, on-demand high performance computing by seamlessly integrating familiar high productivity tools to provide users with an increased number of design turns, rapid prototyping capability, and faster time to insight. In this paper, we discuss the lessons learned while supporting interactive, on-demand high performance computing from the perspectives of the users and the team supporting the users and the system. Building on these lessons, we present an overview of current needs and the technical solutions we are building to lower the barrier to entry for new users from the humanities, social, and biological sciences.
AB - 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 tools to effective use of HPC systems, it seems appropriate to revisit the assumptions surrounding the necessary skills required for access to large computational systems. For over a decade, MIT Lincoln Laboratory has been supporting interactive, on-demand high performance computing by seamlessly integrating familiar high productivity tools to provide users with an increased number of design turns, rapid prototyping capability, and faster time to insight. In this paper, we discuss the lessons learned while supporting interactive, on-demand high performance computing from the perspectives of the users and the team supporting the users and the system. Building on these lessons, we present an overview of current needs and the technical solutions we are building to lower the barrier to entry for new users from the humanities, social, and biological sciences.
KW - HPC abstractions
KW - Interactive On-demand HPC
UR - http://www.scopus.com/inward/record.url?scp=85066126404&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-02465-9_47
DO - 10.1007/978-3-030-02465-9_47
M3 - Conference contribution
AN - SCOPUS:85066126404
SN - 9783030024642
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 655
EP - 668
BT - High Performance Computing - ISC High Performance 2018 International Workshops, Revised Selected Papers
A2 - Alam, Sadaf
A2 - Weiland, Michèle
A2 - Shalf, John
A2 - Yokota, Rio
PB - Springer Verlag
Y2 - 28 June 2018 through 28 June 2018
ER -