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DTSTART;TZID=Europe/Stockholm:20230626T140000
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UID:submissions.pasc-conference.org_PASC23_sess171@linklings.com
SUMMARY:MS1G - Application Optimization in an Energy Constrained Environme
 nt
DESCRIPTION:Minisymposium\n\nTime-to-solution has historically been the pr
 imary optimization objective for HPC applications. A side effect of the re
 sulting accelerated application was typically a reduced energy consumption
 . Especially in light of the current energy shortage, this side effect is 
 quickly becoming an optimization target by itself. But with dynamic power 
 management, every changing landscape of system architectures it is increas
 ingly challenging to find energy optimal implementations for a specific ap
 plication. Approaching HPC applications from the energy perspective leads 
 to a range of interesting questions: Is asking for performance portability
  justified if energy footprint is the primary driver? Can we co-design a m
 inimum energy system geared towards a certain application domain? As HPC i
 s moving from single applications to complex coupled systems, will the sam
 e types of optimization recipes hold? And what kind of tools are needed to
  support the developer’s energy optimization journey? In this minisymposiu
 m we bring together experts addressing energy optimization from the applic
 ation, system and HPC center point of view. With a focus on weather/climat
 e and related applications, the presenters will discuss the impact of low-
 level application optimization on energy footprint, the impact of differen
 t hardware architectures and the support that is needed from an HPC center
  level.\n\nUser Facility Support for Post-Exascale HPC Energy Efficiency\n
 \nEver since beginning the pursuit of achieving exascale HPC, the projecte
 d power and energy consumption was considered one of the major challenges.
  Due to the physical limits of silicon technology, exascale would require 
 an infeasible amount of power and energy to invest and operate, and we had
  work ...\n\n\nWoong Shin (Oak Ridge National Laboratory)\n---------------
 ------\nRadio-Astronomical Imaging Acceleration for Energy Efficiency\n\nT
 he Square Kilometre Array (SKA) Telescope project, a highly complex initia
 tive requiring four supercomputer facilities to process radio-astronomical
  software pipelines, presents a significant challenge in energy consumptio
 n and environmental issues' impact. Modern High-Performance Computing (HPC
 ) c...\n\n\nStefano Corda (EPFL)\n---------------------\nEnergy Impact of 
 Kernel Level Optimization in ICON\n\nGeneral code complexity, together wit
 h portability and maintainability requirements make weather and climate co
 des challenging to optimize. Directive-based approaches such as OpenACC or
  domain specific languages are therefore preferred choices to achieve high
  performance while retaining portability ...\n\n\nRamona Hohl, Benedikt Do
 rschner, Dmitry Alexeev, and Peter Messmer (NVIDIA Inc.)\n----------------
 -----\nApplication Optimization and Scalability of NICAM-LETKF on Fugaku\n
 \nTechnological trends in supercomputers change year by year, and the bott
 leneck factors for weather forecasting and climate prediction simulations 
 are also changing accordingly. Weather/climate models are collections of i
 nterdisciplinary algorithms with no obvious computational hotspots, and th
 e enti...\n\n\nHisashi Yashiro (National Institute for Environmental Studi
 es), Koji Terasaki (Meteorological Research Institute), Yuta Kawai (RIKEN)
 , Shuhei Kudo (The University of Electro-Communications), Takemasa Miyoshi
  and Toshiyuki Imamura (RIKEN), Masuo Nakano and Chihiro Kodama (JAMSTEC),
  Masaki Satoh (The University of Tokyo), and Hirofumi Tomita (RIKEN)\n\nDo
 main: Climate, Weather and Earth Sciences\n\nSession Chair: Peter Messmer 
 (NVIDIA Inc.)
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