Zobrazeno 1 - 10
of 44
pro vyhledávání: '"Pietro Cicotti"'
Publikováno v:
Complexity, Vol 2018 (2018)
Optimization problems pervade essentially every scientific discipline and industry. A common form requires identifying a solution satisfying the maximum number among a set of many conflicting constraints. Often, these problems are particularly diffic
Externí odkaz:
https://doaj.org/article/7066cf9345f14227b6881417b4292550
Publikováno v:
IEEE Transactions on Parallel and Distributed Systems. 31:2734-2748
Data analytics has become an integral part of large-scale scientific computing. Among various data analytics frameworks, MapReduce has gained the most traction. Although some efforts have been made to enable efficient MapReduce for supercomputing sys
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5e8c9188f6bd17fb77155534332edf5c
https://doi.org/10.1109/tpds.2019.2932066
https://doi.org/10.1109/tpds.2019.2932066
Publikováno v:
The International Journal of High Performance Computing Applications. 33:384-396
In many scientific and computational domains, graphs are used to represent and analyze data. Such graphs often exhibit the characteristics of small-world networks: few high-degree vertexes connect many low-degree vertexes. Despite the randomness in a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bd1285e991b3e9e71664c6408de37ae7
https://doi.org/10.1177/1094342018762510
https://doi.org/10.1177/1094342018762510
Publikováno v:
Parallel Computing. 63:38-60
Scalable method to cluster molecules from docking simulations on distributed systems.Projections and interpolations into 3-D and 6-D capture molecular geometries.Our approach scales up to 2048 processing cores and 2 TB input data.Our approach is more
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c8e60003016d4b394818661cfc6151f1
https://doi.org/10.1016/j.parco.2017.02.005
https://doi.org/10.1016/j.parco.2017.02.005
Publikováno v:
ICPADS
Analyzing large volumes of data is becoming more and more important in various scientific computing domains. MapReduce over MPI frameworks are an appealing solution to enable scalable big data analytics on supercomputing systems. These systems can fu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a55eb05ba0fb1b2b128577239029ef97
https://doi.org/10.1109/padsw.2018.8644595
https://doi.org/10.1109/padsw.2018.8644595
Autor:
Y. Cui, Dawei Mu, Haemin Jenny Lee, Florin-James Langer, Pietro Cicotti, Junyi Qiu, Cody Morrin, En Jui Lee
Publikováno v:
PEARC
Detecting earthquakes is one of the most fundamental tasks in seismology. As continuous seismic recordings grow and become readily available, they offer opportunities for identifying weak seismic signals (e.g., microseismicity, nonvolcanic tremor). M
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::af6a63e32b296c5caddf87f956f9e46f
https://doi.org/10.1145/3219104.3219133
https://doi.org/10.1145/3219104.3219133
Publikováno v:
Sheldon, F; Cicotti, P; Traversa, FL; & Ventra, MD. (2018). Stress-testing memcomputing on hard combinatorial optimization problems. UC San Diego: Retrieved from: http://www.escholarship.org/uc/item/2p1448pg
IEEE transactions on neural networks and learning systems, vol 31, iss 6
IEEE transactions on neural networks and learning systems, vol 31, iss 6
Memcomputing is a novel computing paradigm that employs time non-local dynamical systems to compute with and in memory. The digital version of these machines [digital memcomputing machines or (DMMs)] is scalable , and is particularly suited to solve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b566c6669586bb5ef8b818906a3418d3
http://www.escholarship.org/uc/item/2p1448pg
http://www.escholarship.org/uc/item/2p1448pg
Publikováno v:
Complexity, Vol 2018 (2018)
Optimization problems pervade essentially every scientific discipline and industry. A common form requires identifying a solution satisfying the maximum number among a set of many conflicting constraints. Often, these problems are particularly diffic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dde105328b831639e2ba13bed60630f9
Autor:
Yanfei Guo, Michela Taufer, Pietro Cicotti, Bingqiang Wang, Pavan Balaji, Yutong Lu, Tao Gao, Yanjie Wei
Publikováno v:
ICPADS
K-mer counting is a fundamental operation in DNA research and genome analytics; its application includes estimating genome assembly, understanding similarities in genomic samples, and merging a newly processed genome with a reference genome. As the g
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b60f7a2c00cc6932bafe651269bf4eaf
https://doi.org/10.1109/icpads.2017.00033
https://doi.org/10.1109/icpads.2017.00033
Publikováno v:
Contemporary High Performance Computing ISBN: 9781351104005
Contemporary High Performance Computing
Contemporary High Performance Computing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::53ce9f300f0ae5d200c4d9d89009890d
https://doi.org/10.1201/9781351104005-17
https://doi.org/10.1201/9781351104005-17