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@CONFERENCE{Herten:916420,
author = {Herten, Andreas},
title = {{JUWELS} {B}ooster {T}uning and {S}caling {W}orkshop 2022},
reportid = {FZJ-2022-06220},
year = {2022},
note = {Indico:
https://indico-jsc.fz-juelich.de/event/266/other-view?view=standard},
abstract = {The Booster module of the JUWELS supercomputer at JSC
consists of 936 compute nodes, each equipped with 4 NVIDIA
A100 GPUs and providing a peak performance of over 70
PFLOP/s. Per node, 4 InfiniBand HDR200 adapters are
installed, providing 800 GBit/s of network bandwidth per
node. The system is in production since end of 2020 and used
by many researchers for advanced simulations at large
scales.This workshop will focus on applications already
enabled for a few GPUs, with the goal to improve scaling and
performance on many GPUs.Dedicated lectures will present
state-of-the-art tools and techniques for efficient
multi-GPU computing; while the main focus is on interactive
hands-on sessions together with mentors, in which the
applications of the participants will be analyzed and
optimized.},
month = {Mar},
date = {2022-03-07},
organization = {JUWELS Booster Tuning and Scaling
Workshop 2022, online (Germany), 7 Mar
2022 - 11 Mar 2022},
cin = {JSC},
cid = {I:(DE-Juel1)JSC-20090406},
pnm = {5112 - Cross-Domain Algorithms, Tools, Methods Labs (ATMLs)
and Research Groups (POF4-511) / 5122 - Future Computing
$\&$ Big Data Systems (POF4-512) / 5121 - Supercomputing
$\&$ Big Data Facilities (POF4-512) / ATML-X-DEV - ATML
Accelerating Devices (ATML-X-DEV)},
pid = {G:(DE-HGF)POF4-5112 / G:(DE-HGF)POF4-5122 /
G:(DE-HGF)POF4-5121 / G:(DE-Juel-1)ATML-X-DEV},
typ = {PUB:(DE-HGF)5},
url = {https://juser.fz-juelich.de/record/916420},
}