This draft report summarizes and details the findings, results, and
recommendations derived from the ASCR/HEP Exascale Requirements Review meeting
held in June, 2015. The main conclusions are as follows. 1) Larger, more
capable computing and data facilities are needed to support HEP science goals
in all three frontiers: Energy, Intensity, and Cosmic. The expected scale of
the demand at the 2025 timescale is at least two orders of magnitude -- and in
some cases greater -- than that available currently. 2) The growth rate of data
produced by simulations is overwhelming the current ability, of both facilities
and researchers, to store and analyze it. Additional resources and new
techniques for data analysis are urgently needed. 3) Data rates and volumes
from HEP experimental facilities are also straining the ability to store and
analyze large and complex data volumes. Appropriately configured
leadership-class facilities can play a transformational role in enabling
scientific discovery from these datasets. 4) A close integration of HPC
simulation and data analysis will aid greatly in interpreting results from HEP
experiments. Such an integration will minimize data movement and facilitate
interdependent workflows. 5) Long-range planning between HEP and ASCR will be
required to meet HEP's research needs. To best use ASCR HPC resources the
experimental HEP program needs a) an established long-term plan for access to
ASCR computational and data resources, b) an ability to map workflows onto HPC
resources, c) the ability for ASCR facilities to accommodate workflows run by
collaborations that can have thousands of individual members, d) to transition
codes to the next-generation HPC platforms that will be available at ASCR
facilities, e) to build up and train a workforce capable of developing and
using simulations and analysis to support HEP scientific research on
next-generation systems.
%0 Generic
%1 Habib2016ASCRHEP
%A Habib, Salman
%A Roser, Robert
%A Gerber, Richard
%A Antypas, Katie
%A Riley, Katherine
%A Williams, Tim
%A Wells, Jack
%A Straatsma, Tjerk
%A Almgren, A.
%A Amundson, J.
%A Bailey, S.
%A Bard, D.
%A Bloom, K.
%A Bockelman, B.
%A Borgland, A.
%A Borrill, J.
%A Boughezal, R.
%A Brower, R.
%A Cowan, B.
%A Finkel, H.
%A Frontiere, N.
%A Fuess, S.
%A Ge, L.
%A Gnedin, N.
%A Gottlieb, S.
%A Gutsche, O.
%A Han, T.
%A Heitmann, K.
%A Hoeche, S.
%A Ko, K.
%A Kononenko, O.
%A LeCompte, T.
%A Li, Z.
%A Lukic, Z.
%A Mori, W.
%A Nugent, P.
%A Ng, C. K.
%A Oleynik, G.
%A O'Shea, B.
%A Padmanabhan, N.
%A Petravick, D.
%A Petriello, F. J.
%A Power, J.
%A Qiang, J.
%A Reina, L.
%A Rizzo, T. J.
%A Ryne, R.
%A Schram, M.
%A Spentzouris, P.
%A Toussaint, D.
%A Vay, J. L.
%A Viren, B.
%A Wurthwein, F.
%A Xiao, L.
%D 2016
%K hpc, review
%T ASCR/HEP Exascale Requirements Review Report
%U http://arxiv.org/abs/1603.09303
%X This draft report summarizes and details the findings, results, and
recommendations derived from the ASCR/HEP Exascale Requirements Review meeting
held in June, 2015. The main conclusions are as follows. 1) Larger, more
capable computing and data facilities are needed to support HEP science goals
in all three frontiers: Energy, Intensity, and Cosmic. The expected scale of
the demand at the 2025 timescale is at least two orders of magnitude -- and in
some cases greater -- than that available currently. 2) The growth rate of data
produced by simulations is overwhelming the current ability, of both facilities
and researchers, to store and analyze it. Additional resources and new
techniques for data analysis are urgently needed. 3) Data rates and volumes
from HEP experimental facilities are also straining the ability to store and
analyze large and complex data volumes. Appropriately configured
leadership-class facilities can play a transformational role in enabling
scientific discovery from these datasets. 4) A close integration of HPC
simulation and data analysis will aid greatly in interpreting results from HEP
experiments. Such an integration will minimize data movement and facilitate
interdependent workflows. 5) Long-range planning between HEP and ASCR will be
required to meet HEP's research needs. To best use ASCR HPC resources the
experimental HEP program needs a) an established long-term plan for access to
ASCR computational and data resources, b) an ability to map workflows onto HPC
resources, c) the ability for ASCR facilities to accommodate workflows run by
collaborations that can have thousands of individual members, d) to transition
codes to the next-generation HPC platforms that will be available at ASCR
facilities, e) to build up and train a workforce capable of developing and
using simulations and analysis to support HEP scientific research on
next-generation systems.
@misc{Habib2016ASCRHEP,
abstract = {{This draft report summarizes and details the findings, results, and
recommendations derived from the ASCR/HEP Exascale Requirements Review meeting
held in June, 2015. The main conclusions are as follows. 1) Larger, more
capable computing and data facilities are needed to support HEP science goals
in all three frontiers: Energy, Intensity, and Cosmic. The expected scale of
the demand at the 2025 timescale is at least two orders of magnitude -- and in
some cases greater -- than that available currently. 2) The growth rate of data
produced by simulations is overwhelming the current ability, of both facilities
and researchers, to store and analyze it. Additional resources and new
techniques for data analysis are urgently needed. 3) Data rates and volumes
from HEP experimental facilities are also straining the ability to store and
analyze large and complex data volumes. Appropriately configured
leadership-class facilities can play a transformational role in enabling
scientific discovery from these datasets. 4) A close integration of HPC
simulation and data analysis will aid greatly in interpreting results from HEP
experiments. Such an integration will minimize data movement and facilitate
interdependent workflows. 5) Long-range planning between HEP and ASCR will be
required to meet HEP's research needs. To best use ASCR HPC resources the
experimental HEP program needs a) an established long-term plan for access to
ASCR computational and data resources, b) an ability to map workflows onto HPC
resources, c) the ability for ASCR facilities to accommodate workflows run by
collaborations that can have thousands of individual members, d) to transition
codes to the next-generation HPC platforms that will be available at ASCR
facilities, e) to build up and train a workforce capable of developing and
using simulations and analysis to support HEP scientific research on
next-generation systems.}},
added-at = {2019-02-23T22:09:48.000+0100},
archiveprefix = {arXiv},
author = {Habib, Salman and Roser, Robert and Gerber, Richard and Antypas, Katie and Riley, Katherine and Williams, Tim and Wells, Jack and Straatsma, Tjerk and Almgren, A. and Amundson, J. and Bailey, S. and Bard, D. and Bloom, K. and Bockelman, B. and Borgland, A. and Borrill, J. and Boughezal, R. and Brower, R. and Cowan, B. and Finkel, H. and Frontiere, N. and Fuess, S. and Ge, L. and Gnedin, N. and Gottlieb, S. and Gutsche, O. and Han, T. and Heitmann, K. and Hoeche, S. and Ko, K. and Kononenko, O. and LeCompte, T. and Li, Z. and Lukic, Z. and Mori, W. and Nugent, P. and Ng, C. K. and Oleynik, G. and O'Shea, B. and Padmanabhan, N. and Petravick, D. and Petriello, F. J. and Power, J. and Qiang, J. and Reina, L. and Rizzo, T. J. and Ryne, R. and Schram, M. and Spentzouris, P. and Toussaint, D. and Vay, J. L. and Viren, B. and Wurthwein, F. and Xiao, L.},
biburl = {https://www.bibsonomy.org/bibtex/214706278965132dedaa68425db6d753a/cmcneile},
citeulike-article-id = {14017638},
citeulike-linkout-0 = {http://arxiv.org/abs/1603.09303},
citeulike-linkout-1 = {http://arxiv.org/pdf/1603.09303},
day = 31,
eprint = {1603.09303},
interhash = {d57cde9b85d39b3582cc6680048c6c63},
intrahash = {14706278965132dedaa68425db6d753a},
keywords = {hpc, review},
month = mar,
posted-at = {2016-04-21 13:27:36},
priority = {2},
timestamp = {2019-02-23T22:15:27.000+0100},
title = {{ASCR/HEP Exascale Requirements Review Report}},
url = {http://arxiv.org/abs/1603.09303},
year = 2016
}