Supporting High-Performance and High-Throughput Computing for Experimental Science

  • E. A. HuertaEmail author
  • Roland Haas
  • Shantenu Jha
  • Mark Neubauer
  • Daniel S. Katz


The advent of experimental science facilities—instruments and observatories, such as the Large Hadron Collider, the Laser Interferometer Gravitational Wave Observatory, and the upcoming Large Synoptic Survey Telescope —has brought about challenging, large-scale computational and data processing requirements. Traditionally, the computing infrastructure to support these facility’s requirements were organized into separate infrastructure that supported their high-throughput needs and those that supported their high-performance computing needs. We argue that to enable and accelerate scientific discovery at the scale and sophistication that is now needed, this separation between high-performance computing and high-throughput computing must be bridged and an integrated, unified infrastructure provided. In this paper, we discuss several case studies where such infrastructure has been implemented. These case studies span different science domains, software systems, and application requirements as well as levels of sustainability. A further aim of this paper is to provide a basis to determine the common characteristics and requirements of such infrastructure, as well as to begin a discussion of how best to support the computing requirements of existing and future experimental science facilities.


HPC HTC LIGO CMS ATLAS Blue Waters Titan OSG Containers 



This research is part of the Blue Waters sustained-petascale computing project, which is supported by the National Science Foundation (awards OCI-0725070 and ACI-1238993) and the State of Illinois. Blue Waters is a joint effort of the University of Illinois at Urbana-Champaign and its National Center for Supercomputing Applications. We thank Brett Bode, Greg Bauer, Jeremy Enos, HonWai Leong and William Kramer for useful interactions. On behalf of all authors, the corresponding author states that there is no conflict of interest.


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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • E. A. Huerta
    • 1
    Email author
  • Roland Haas
    • 2
  • Shantenu Jha
    • 3
  • Mark Neubauer
    • 4
  • Daniel S. Katz
    • 5
  1. 1.National Center for Supercomputing Applications & Department of AstronomyUniversity of Illinois at Urbana-ChampaignUrbanaUSA
  2. 2.National Center for Supercomputing ApplicationsUniversity of Illinois at Urbana-ChampaignUrbanaUSA
  3. 3.Brookhaven National Laboratory and RutgersThe State University of New JerseyPiscatawayUSA
  4. 4.Department of Physics, National Center for Supercomputing ApplicationsUniversity of Illinois at Urbana-ChampaignUrbanaUSA
  5. 5.National Center for Supercomputing Applications & Department of Computer Science, & Department of Electrical and Computer Engineering & School of Information SciencesUniversity of Illinois at Urbana-ChampaignUrbanaUSA

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