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UID:submissions.supercomputing.org_SC24_sess739@linklings.com
SUMMARY:Sustainable Supercomputing
DESCRIPTION:Sustainable supercomputing is a pressing topic for our communi
 ty, industry, and governments. Supercomputing has an ever-increasing need 
 for computational cycles while facing increasing challenges of delivering 
 performance/Watt advances and within the context of climate change, the dr
 ive towards net-zero, and geo-political-economic pressures. Improving supe
 rcomputing sustainability provides many opportunities considering an end-t
 o-end, holistic view of the HPC system, facility, site, and broader enviro
 nment. All elements of the HPC system must be considered; from low-level c
 ircuits, up the software stack and beyond to power/cooling systems. The dr
 ive towards more sustainable supercomputing requires measurements, metrics
 , goals, and improvement processes.\n\nTowards Sustainable Post-Exascale L
 eadership Computing\n\nAs computing systems approach the limits of traditi
 onal silicon technology, the diminishing returns in performance per watt p
 resent a significant barrier to sustaining growth in HPC. From a large-sca
 le scientific supercomputing facility point of view, we propose a multifac
 eted strategy toward specia...\n\n\nWoong Shin, James B. White III, Wael E
 lwasif, Rafael Ferreira da Silva, Christopher Zimmer, Bronson Messer, Reub
 en Budiardja, Antigoni Georgiadou, Verónica Melesse Vergara, Jack Lange, M
 atthias Maiterth, Tim Osborne, Leah Huk, John Holmen, Nick Hagerty, Ahmad 
 Maroof Karimi, Thomas Naughton, Ryan Adamson, Ryan Prout, Feiyi Wang, Scot
 t Atchley, Kevin G. Thach, Thomas Beck, and Sarp Oral (Oak Ridge National 
 Laboratory (ORNL))\n---------------------\nEE-HPC a Framework for Energy E
 fficient HPC System Management\n\nThe energy consumption has become a majo
 r cost\nfactor in the procurement and operation of large scale HPC data\nc
 enters. In addition, funding bodies and governments are starting\nto focus
  on assessment and improvement of energy efficiency, as\nwell as reducing 
 the overall environmental impact of data c...\n\n\nDavid Brayford (Hewlett
  Packard Labs); Radita Liem (RWTH Aachen University); and Thomas Gruber (F
 riedrich-Alexander University, Erlangen-Nuremberg)\n---------------------\
 nInput-Dependent Power Usage in GPUs\n\nGPUs are known to be power-hungry,
  and due to the boom in artificial intelligence, they are the major contri
 butors to the high power demands of datacenters. Most GPU usage in these p
 opular workloads consists of large general matrix-matrix multiplications (
 GEMMs), which have therefore been optimized ...\n\n\nTheo Gregersen (Unive
 rsity of Washington, Carnegie Mellon University); Pratyush Patel (Universi
 ty of Washington); and Esha Choukse (Microsoft Corporation)\n-------------
 --------\nAnalysis of Power Consumption and GPU Power Capping for MILC\n\n
 Power has been a key constraint for supercomputers, and limitations on pow
 er become increasingly noticeable through the exascale era. Limited power 
 availability pushes the facilities to operate under power constraints and 
 develop power management methods, making it crucial to understand applicat
 ions...\n\n\nFatih Acun (Boston University), Zhengji Zhao and Brian Austin
  (Lawrence Berkeley National Laboratory (LBNL)), Ayse Coskun (Boston Unive
 rsity), and Nicholas J. Wright (Lawrence Berkeley National Laboratory (LBN
 L))\n---------------------\nSustainable Supercomputing — Lunch Break\n----
 -----------------\nVendor-neutral and Production-grade Job Power Managemen
 t in High Performance Computing\n\nPower management and energy efficiency 
 are critical\nresearch areas for exascale computing and beyond, necessitat
 ing\nreliable telemetry and control for distributed systems. Despite this\
 nneed, existing approaches present several limitations precluding\ntheir a
 doption in production. These limitations in...\n\n\nNaman Kulshresthha (Cl
 emson University); Tapasya Patki, Jim Garlick, and Mark Grondona (Lawrence
  Livermore National Laboratory (LLNL)); and Rong Ge (Clemson University)\n
 ---------------------\nSustainable AI: Experiences, Challenges and Recomme
 ndations\n\nThe use of Artificial Intelligence (AI) and Machine Learning (
 ML) as part of scientific workloads is becoming increasingly widespread. I
 t is imperative to understand how to configure AI and ML applications on H
 PC systems to optimise their performance and energy efficiency, thereby mi
 nimising their e...\n\n\nEleanor Broadway, Joseph Lee, and Michele Weiland
  (Edinburgh Parallel Computing Centre (EPCC))\n---------------------\nCEEM
 S: A Resource Manager Agnostic Energy and Emissions Monitoring Stack\n\nCo
 mpute Energy & Emissions Monitoring Stack (CEEMS) has been designed to rep
 ort energy usage of compute workloads in real time for HPC and cloud platf
 orms alike. Besides CPU energy usage, it supports reporting energy usage o
 f workloads on NVIDIA and AMD GPU accelerators. CEEMS has been built aroun
 d ...\n\n\nMahendra Paipuri (CNRS)\n---------------------\nIncreasing Ener
 gy Efficiency of Astrophysics Simulations Through GPU Frequency Scaling\n\
 nThe growing demand for HPC necessitates significant energy consumption, p
 osing a sustainability challenge for HPC centers, users, and society, espe
 cially\ndue to stricter environmental regulations. While efforts exist to 
 reduce overall system energy consumption, optimizations\nfor GPU-based wor
 kloads,...\n\n\nOsman Seckin Simsek (University of Basel, Switzerland); Je
 an-Guillaume Piccinali (Swiss National Supercomputing Centre (CSCS)); and 
 Florina Ciorba (University of Basel, Switzerland)\n---------------------\n
 Navigating Exascale Operational Data Analytics: From Inundation to Insight
 \n\nIn this paper, we address the challenges in achieving sustainable data
 -driven efficiency by providing a detailed exploration of the end-to-end o
 perational data analytics (ODA) framework that evolved through two generat
 ions of supercomputer systems at the Oak Ridge Leadership Computing Facili
 ty (OLCF...\n\n\nWoong Shin, Tim Osborne, Ahmad Maroof Karimi, Rachel Palu
 mbo, Alex May, Corwin Lester, Jesse Hines, Naw Safrin Sattar, Leah Huk, Sc
 ott Simmerman, Wesley Brewer, Jeffrey Miller, Ryan Adamson, Olga Kuchar, R
 yan Prout, Feiyi Wang, Scott Atchley, and Sarp Oral (Oak Ridge National La
 boratory (ORNL))\n---------------------\nPawsey's Sustainability Journey\n
 \nMaciej Cytowski (Pawsey Supercomputing Research Centre)\n---------------
 ------\nhws: A Tool for Monitoring Hardware Metrics Across Diverse Vendors
 : A Case Study on Hyperparameter Optimization Algorithms\n\nDue to modern 
 hardware's constantly growing energy demands, it is important to consider 
 energy efficiency and power consumption. Especially in the age of AI, wher
 e a massive amount of computational power is necessary, energy consumption
  and the costs involved can become a significant problem. Howeve...\n\n\nM
 arcel Breyer, Alexander Van Craen, Peter Domanski, and Dirk Pflüger (Unive
 rsity of Stuttgart, Germany; University of Stuttgart, Institute for Parall
 el and Distributed Systems)\n---------------------\nSustainable Supercompu
 ting — Afternoon Break\n---------------------\nExploring the Frontiers of 
 Energy Efficiency using Power Management at System Scale\n\nIn the face of
  surging power demands for exascale HPC systems, this work tackles the cri
 tical challenge of understanding the impact of software-driven power manag
 ement\ntechniques like Dynamic Voltage and Frequency Scaling (DVFS) and Po
 wer Capping. These techniques have been actively developed over t...\n\n\n
 Ahmad Maroof Karimi, Matthias Maiterth, Woong Shin, Naw Safrin Sattar, Hao
  Lu, and Feiyi Wang (Oak Ridge National Laboratory (ORNL))\n--------------
 -------\nAIOps and Sustainability: Transforming Data Centers for a Greener
  Future\n\nEnterprise and high-performance computing data centers are deal
 ing with thousands of sensor metrics and associated data. A top-end target
  for exascale machines is 10 million data points per second. The escalatin
 g volume and speed of data generation are making things more difficult, an
 d outages are i...\n\n\nSubrahmanya Vinayak Joshi, Sergey Serebryakov, Dee
 pak Nanjundaiah, Tejas Hegde, and Martin Foltin (Hewlett Packard Enterpris
 e (HPE))\n---------------------\nSustainable Supercomputing — Morning Brea
 k\n---------------------\nPanel/Wrap up\n\nMichael Woodacre (HPE)\n\nTag: 
 Energy Efficiency, HPC Infrastructure, Sustainability\n\nRegistration Cate
 gory: Workshop Reg Pass\n\nSession Chairs: Cate Berard (US Department of E
 nergy); James H. Rogers (Oak Ridge National Laboratory (ORNL)); Fumiyoshi 
 Shoji (RIKEN, Center for Computational Science); Michèle Weiland (EPCC, Th
 e University of Edinburgh; The University of Edinburgh); and Mike Woodacre
  (Hewlett Packard Enterprise (HPE))
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