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DTSTART;TZID=America/Denver:20231112T111000
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UID:submissions.supercomputing.org_SC23_sess420_ws_ss105@linklings.com
SUMMARY:Energy Efficiency of Quantum Statevector Simulation at Scale
DESCRIPTION:Jakub Adamski, James Peter Richings, and Oliver Thomson Brown 
 (Edinburgh Parallel Computing Centre (EPCC), University of Edinburgh)\n\nC
 lassical simulations are essential for the development of quantum computin
 g, and their exponential scaling can easily fill any modern supercomputer.
  In this paper we consider the performance and energy consumption of large
  Quantum Fourier Transform (QFT) simulations run on ARCHER2, the UK's Nati
 onal Supercomputing Service, with QuEST toolkit. We take into account CPU 
 clock frequency and node memory size, and use cache-blocking to rearrange 
 the circuit, which minimizes communications. We find that using 2.00GHz in
 stead of 2.25GHz can save as much as 25% of energy at 5% increase in runti
 me. Higher node memory also has the potential to be more efficient, and co
 st the user fewer CUs, but at higher runtime penalty. Finally, we present 
 a cache-blocking QFT circuit, which halves the required communication. All
  our optimizations combined result in 40% faster simulations and 35% energ
 y savings in 44 qubit simulations on 4,096 ARCHER2 nodes.\n\nTag: Energy E
 fficiency, Green Computing, Sustainability\n\nRegistration Category: Works
 hop Reg Pass\n\nSession Chairs: Kimmo Koski (CSC – IT Center for Science L
 td, Finland); James H. Rogers (Oak Ridge National Laboratory (ORNL)); Fumi
 yoshi Shoji (RIKEN Center for Computational Science (R-CCS), Center for Co
 mputational Science); William W. Thigpen (NASA); Michèle Weiland (EPCC, Th
 e University of Edinburgh; The University of Edinburgh); and Mike Woodacre
  (Hewlett Packard Enterprise (HPE))\n\n
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