Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Mauro Bianco"'
Autor:
Anton Afanasyev, Mauro Bianco, Lukas Mosimann, Carlos Osuna, Felix Thaler, Hannes Vogt, Oliver Fuhrer, Joost VandeVondele, Thomas C. Schulthess
Publikováno v:
SoftwareX, Vol 15, Iss , Pp 100707- (2021)
Weather forecasts and climate projections are of tremendous importance for economical and societal reasons. Software implementing weather and climate models is complex to develop and hard to maintain, and requires a large range of different competenc
Externí odkaz:
https://doaj.org/article/dbf7b1902e9045738d27aacdb5d10bff
Autor:
Mark Klein, Mauro Bianco, Xavier Lapillonne, Thomas C. Schulthess, Roberto Aielli, André Walser, Sadaf R. Alam
Publikováno v:
Communications in Computer and Information Science ISBN: 9783030633929
SMC
SMC
In 2015, CSCS and the Swiss national weather and climate service (a.k.a. MeteoSwiss) have deployed the first GPU accelerated HPC system for numerical weather prediction (NWP), which has been in operation since Spring of 2016. As part of the lifecycle
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::550ab0391bd2d54538681e69b9756b21
https://doi.org/10.1007/978-3-030-63393-6_20
https://doi.org/10.1007/978-3-030-63393-6_20
Autor:
Hannes Vogt, Thomas C. Schulthess, Lukas Mosimann, Carlos Osuna, Oliver Fuhrer, Felix Thaler, Anton Afanasyev, Mauro Bianco, Joost VandeVondele
Publikováno v:
SoftwareX, 15
SoftwareX, Vol 15, Iss, Pp 100707-(2021)
SoftwareX, Vol 15, Iss, Pp 100707-(2021)
Weather forecasts and climate projections are of tremendous importance for economical and societal reasons. Software implementing weather and climate models is complex to develop and hard to maintain, and requires a large range of different competenc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4fad59f4842a5d4ca687c23828aa3fea
https://doi.org/10.1016/j.softx.2021.100707
https://doi.org/10.1016/j.softx.2021.100707
Autor:
Oliver Fuhrer, Anton Afanasyev, Mauro Bianco, Lukas Mosimann, Stefan Moosbrugger, Torsten Hoefler, Thomas C. Schulthess, Hannes Vogt, Felix Thaler, Carlos Osuna
Publikováno v:
PASC
Weather and climate simulations are a major application driver in high-performance computing (HPC). With the end of Dennard scaling and Moore's law, the HPC industry increasingly employs specialized computation accelerators to increase computational
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::975ca51ab541d6d0eacc61b4f27308f2
https://doi.org/10.1145/3324989.3325723
https://doi.org/10.1145/3324989.3325723
Autor:
Maxime Martinasso, Colin McMurtrie, Thomas C. Schulthess, Sadaf R. Alam, Mauro Bianco, Miguel Gila
Publikováno v:
SC
Leading hybrid and heterogeneous supercomputing systems process hundreds of thousands of jobs using complex scheduling algorithms and parameters. The centers operating these systems aim to achieve higher levels of resource utilization while being res
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ccfea0951123dba5344cb763efdaf8d1
https://doi.org/10.1109/sc.2018.00028
https://doi.org/10.1109/sc.2018.00028
Publikováno v:
SBAC-PAD
Selected inversion problems must be addressed in several research fields like physics, genetics, weather forecasting, and finance, in order to extract selected entries from the inverse of large, sparse matrices. State-of-the-art algorithms are either
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7d523a139207d8d0b05ff62ca1f4f233
https://doi.org/10.1109/cahpc.2018.8645868
https://doi.org/10.1109/cahpc.2018.8645868
Autor:
John Shalf, Anshu Dubey, Jeff Keasler, Miquel Pericas, Bradford L. Chamberlain, H. Carter Edwards, Romain E. Cledat, Hal Finkel, Emmanuel Jeannot, Vitus J. Leung, Amir Kamil, Hatem Ltaief, Paul H. J. Kelly, Didem Unat, Mark Abraham, Mauro Bianco, Naoya Maruyama, Frank Hannig, Karl Fuerlinger, Chris J. Newburn, Torsten Hoefler
Publikováno v:
IEEE Transactions on Parallel and Distributed Systems, vol 28, iss 10
IEEE Transactions on Parallel and Distributed Systems
IEEE Transactions on Parallel and Distributed Systems, 2017, 28 (10), pp.3007-3020. ⟨10.1109/TPDS.2017.2703149⟩
Unat, D; Dubey, A; Hoefler, T; Shalf, JB; Abraham, M; Bianco, M; et al.(2017). Trends in Data Locality Abstractions for HPC Systems. IEEE Transactions on Parallel and Distributed Systems, 28(10), 3007-3020. doi: 10.1109/TPDS.2017.2703149. Lawrence Berkeley National Laboratory: Retrieved from: http://www.escholarship.org/uc/item/8v30n4hf
IEEE Transactions on Parallel and Distributed Systems, Institute of Electrical and Electronics Engineers, 2017, 28 (10), pp.3007-3020. ⟨10.1109/TPDS.2017.2703149⟩
IEEE Transactions on Parallel and Distributed Systems
IEEE Transactions on Parallel and Distributed Systems, 2017, 28 (10), pp.3007-3020. ⟨10.1109/TPDS.2017.2703149⟩
Unat, D; Dubey, A; Hoefler, T; Shalf, JB; Abraham, M; Bianco, M; et al.(2017). Trends in Data Locality Abstractions for HPC Systems. IEEE Transactions on Parallel and Distributed Systems, 28(10), 3007-3020. doi: 10.1109/TPDS.2017.2703149. Lawrence Berkeley National Laboratory: Retrieved from: http://www.escholarship.org/uc/item/8v30n4hf
IEEE Transactions on Parallel and Distributed Systems, Institute of Electrical and Electronics Engineers, 2017, 28 (10), pp.3007-3020. ⟨10.1109/TPDS.2017.2703149⟩
International audience; The cost of data movement has always been an important concern in high performance computing (HPC) systems. It has now become the dominant factor in terms of both energy consumption and performance. Support for expression of d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fad3f59cfa8f6f0aa75364c19811e73a
https://escholarship.org/uc/item/8v30n4hf
https://escholarship.org/uc/item/8v30n4hf
Autor:
Nancy M. Amato, Nedal Mourad, Timmie Smith, Jeremy Vu, Mauro Bianco, Xiabing Xu, Gabriel Tanase, Nathan Thomas, Olga Pearce, Adam Fidel, Lawrence Rauchwerger, Ioannis Papadopoulos, Harshvardhan, Antal Buss
Publikováno v:
PPOPP
The Standard Template Adaptive Parallel Library (STAPL) is a parallel programming infrastructure that extends C++ with support for parallelism. It includes a collection of distributed data structures called pContainers that are thread-safe, concurren
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0353672a6db40e0ebd7f7c6fd308223e
https://doi.org/10.1145/2038037.1941586
https://doi.org/10.1145/2038037.1941586
Publikováno v:
SC
Many high-performance computing applications solving partial differential equations (PDEs) can be attributed to the class of kernels using stencils on structured grids. Due to the disparity between floating point operation throughput and main memory
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bbdfb982aabb88758b1c424a28096aba
https://doi.org/10.1145/2807591.2807627
https://doi.org/10.1145/2807591.2807627