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DTSTART;TZID=America/New_York:20241118T120000
DTEND;TZID=America/New_York:20241118T123000
UID:submissions.supercomputing.org_SC24_sess748_ws_pmbsf109@linklings.com
SUMMARY:Ponte Vecchio Across the Atlantic: Single-Node Benchmarking of Two
  Intel GPU Systems
DESCRIPTION:Thomas Applencourt (Argonne National Laboratory (ANL)); Aditya
  Sadawarte (University of Bristol, England); Servesh Muralidharan, Colleen
  Bertoni, JaeHyuk Kwack, Ye Luo, Esteban Rangel, John Tramm, and Yasaman G
 hadar (Argonne National Laboratory (ANL)); Arjen Tamerus and Chris Edsall 
 (University of Cambridge, England); and Tom Deakin (University of Bristol,
  England)\n\nIntel Data Center GPU Max 1550, known as Ponte Vecchio (PVC),
  is a new Intel GPU architecture for high-performance computing. It is the
  basis of two systems on the June 2024 TOP500 list, Dawn (#51) and Aurora 
 (#2).\n\nThis work provides micro-benchmarking data on PVCs from which app
 lication developers may benefit, shows how the micro-benchmarking results 
 are indicative of mini-app performance on PVC, and demonstrates real appli
 cations on large-scale Intel GPU systems.\n\nWe quantify the obtainable pe
 rformance from PVC systems through micro-benchmarking fundamental architec
 tural properties. We evaluate the performance of four mini-apps with known
  performance characteristics, and two full applications, comparing perform
 ance on a node of Aurora and Dawn with a node of NVIDIA H100 GPUs and a no
 de of AMD MI250 GPUs. We show the figure-of-merit of the mini-apps on a si
 ngle PVC ranges from 0.6–1.8X the performance of an H100, and 0.8–7.5X of 
 an MI250.\n\nTag: Accelerators, Modeling and Simulation, Performance Evalu
 ation and/or Optimization Tools\n\nRegistration Category: Workshop Reg Pas
 s\n\nSession Chairs: Simon Hammond (National Nuclear Security Administrati
 on (NNSA)); Sascha Hunold (Technical University of Vienna); and Steven A. 
 Wright (University of York, England)\n\n
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