BEGIN:VCALENDAR
VERSION:2.0
PRODID:Linklings LLC
BEGIN:VTIMEZONE
TZID:America/Denver
X-LIC-LOCATION:America/Denver
BEGIN:DAYLIGHT
TZOFFSETFROM:-0700
TZOFFSETTO:-0600
TZNAME:MDT
DTSTART:19700308T020000
RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=2SU
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0600
TZOFFSETTO:-0700
TZNAME:MST
DTSTART:19701101T020000
RRULE:FREQ=YEARLY;BYMONTH=11;BYDAY=1SU
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20260422T000622Z
LOCATION:603
DTSTART;TZID=America/Denver:20231112T140000
DTEND;TZID=America/Denver:20231112T173000
UID:submissions.supercomputing.org_SC23_sess433@linklings.com
SUMMARY:The 1st International Workshop on the Environmental Sustainability
  of High-Performance Software
DESCRIPTION:Domain-Specific Energy Modeling for Drug Discovery and Magneto
 hydrodynamics Applications\n\nFrequency scaling is a well-known energy-sav
 ing power management technique that modulates the device frequency to expl
 ore the trade-off between energy and performance.  Higher energy savings r
 equire a frequency tuning phase since different applications can have diff
 erent energy and time behavior dep...\n\n\nLorenzo Carpentieri, Marco D'An
 tonio, Kaijie Fan, Luigi Crisci, and Biagio Cosenza (University of Salerno
 ); Federico Ficarelli and Daniele Cesarini (CINECA); Gianmarco Accordi, Da
 vide Gadioli, and Gianluca Palermo (Polytechnic University of Milan); Pete
 r Thoman and Philip Salzmann (University of Innsbruck); Philipp Gschwandtn
 er (University of Innsbruck, PH3 GmbH); Markus Wippler (PH3 GmbH); Filippo
  Marchetti and Daniele Gregori (E4); and Andrea Rosario Beccari (Dompé Far
 maceutici Spa)\n---------------------\nAutomatic Energy-Efficient Job Sche
 duling in HPC: A Novel SLURM Plugin Approach\n\nWe introduce a novel energ
 y-efficient job scheduling approach for High-Performance Computing (HPC) e
 nvironments. Its primary objective is to bridge the gap between research a
 nd production in energy-efficient scheduling models for HPC. The proposed 
 architecture and program decouple scheduling heurist...\n\n\nAnders Aaen S
 pringborg and Michele Albano (Aalborg University, Copenhagen) and Samuel X
 avier-de-Souza (Federal University of Rio Grande do Norte, Brazil)\n------
 ---------------\nEnergy Consumption Comparison of Parallel Linear Systems 
 Solver Algorithms on HPC Infrastructure\n\nHigh-Performance Computing (HPC
 ) systems today are gradually increasing in size and complexity due to the
  correspondent demand for ever-increasing computing needs, requiring more 
 complicated tasks and higher accuracy. The growing energy demands of HPC s
 ystems necessitate the urgent adoption of green...\n\n\nSofia Montebugnoli
  and Anna Ciampolini (University of Bologna)\n---------------------\nAn En
 d-to-End HPC Framework for Dynamic Power Objectives\n\nHigh-Performance Co
 mputing (HPC) centers demand a lot of power, and continue to grow through 
 the exascale era. This work establishes the need for a multi-tiered, feedb
 ack-driven power management framework to follow dynamic power objectives w
 hile maximizing job performance, highlighting the need to r...\n\n\nDaniel
  C. Wilson (Boston University, Intel Corporation); Fatih Acun (Boston Univ
 ersity); Siddhartha Jana, Federico Ardanaz, and Jonathan M. Eastep (Intel 
 Corporation); and Ioannis Ch. Paschalidis and Ayse K. Coskun (Boston Unive
 rsity)\n---------------------\nAugmenting ML-Based Predictive Modelling wi
 th NLP to Forecast a Job's Power Consumption\n\nAs modern High-Performance
  Computing (HPC) reach exascale performance, their power consumption becom
 es a serious threat to environmental and energy sustainability. Efficient 
 power management in HPC systems is crucial for optimizing workload managem
 ent, reducing operational costs, and promoting envir...\n\n\nFrancesco Ant
 ici (University of Bologna), Keiji Yamamoto and Jens Domke (RIKEN Center f
 or Computational Science (R-CCS)), and Zeynep Kiziltan (University of Bolo
 gna)\n---------------------\nOpening Remarks\n\nOpening remarks by the org
 anizers\n\n\nDaniela Loreti and Andrea Borghesi (University of Bologna)\n-
 --------------------\nClosing Remarks and Best Paper\n\nDaniela Loreti and
  Andrea Borghesi (University of Bologna)\n---------------------\nPM100: A 
 Job Power Consumption Dataset of a Large-Scale Production HPC System\n\nTh
 e power requirements of modern High-Performance Computing (HPC) systems po
 se environmental and financial challenges, given their carbon emissions an
 d strain power grids. Optimizing power consumption together with system pe
 rformance has thus become crucial. As jobs running on a system contribute 
 to...\n\n\nFrancesco Antici, Mohsen Seyedkazemi Ardebili, Andrea Bartolini
 , and Zeynep Kiziltan (University of Bologna)\n\nTag: Artificial Intellige
 nce/Machine Learning, Energy Efficiency, Green Computing, Performance Meas
 urement, Modeling, and Tools, Sustainability\n\nRegistration Category: Wor
 kshop Reg Pass\n\nSession Chairs: Andrea Borghesi (University of Bologna; 
 Department of Electrical, Electronic and Information Engineering) and Dani
 ela Loreti (University of Bologna)
END:VEVENT
END:VCALENDAR