Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Guilherme Peretti-Pezzi"'
Autor:
Christopher Bignamini, João P. S. C. Augusto, Samuel Khuvis, Karen Tomko, Samuel Omlin, Matthias Kraushaar, Vasileios Karakasis, Andreas Jocksch, Zhi-Qiang You, Brandon Cook, Brian Friesen, Yun He, Rafael Sarmiento-Pérez, Guilherme Peretti-Pezzi, Victor Holanda Rusu, Theofilos Manitaras, L. Gerhardt
Publikováno v:
Communications in Computer and Information Science ISBN: 9783030447274
HUST/SE-HER/WIHPC@SC
HUST/SE-HER/WIHPC@SC
Regression testing of HPC systems is of crucial importance when it comes to ensure the quality of service offered to the end users. At the same time, it poses a great challenge to the systems and application engineers to continuously maintain regress
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::38c7dc4652c4fbc1006d742b05b6ad2d
https://doi.org/10.1007/978-3-030-44728-1_3
https://doi.org/10.1007/978-3-030-44728-1_3
Autor:
Guilherme Peretti-Pezzi, Miguel Gila, William Sawyer, Rafael Sarmiento, Vasileios Karakasis, Maxime Martinasso
Publikováno v:
Concurrency and Computation: Practice and Experience. 32
Publikováno v:
Applied Mathematics and Computation. 267:83-95
Optimization of water distribution is a crucial issue which has been targeted by many modeling tools. Useful models, implemented several decades ago, need to be updated and implemented in more powerful computing environments. This paper presents the
Autor:
Concetto Spampinato, Maurizio Drocco, Guilherme Peretti Pezzi, Massimo Torquati, Marco Aldinucci
In this paper, a highly effective parallel filter for visual data restoration is presented. The filter is designed following a skeletal approach, using a newly proposed stencil-reduce, and has been implemented by way of the FastFlow parallel programm
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9fb3ff068d1783b6f4cb77826eff897e
http://hdl.handle.net/20.500.11769/253117
http://hdl.handle.net/20.500.11769/253117
Publikováno v:
PDP
This paper presents the optimisation efforts on the creation of a graph-based mapping representation of gene adjacency. The method is based on the Hi-C process, starting from Next Generation Sequencing data, and it analyses a huge amount of static da
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fb59aa62b79de032d025153f2c566aeb
http://hdl.handle.net/2318/1521910
http://hdl.handle.net/2318/1521910
Publikováno v:
PDP
InfiniBand networks are commonly used in the high performance computing area. They offer RDMA-based operations that help to improve the performance of communication subsystems. In this paper, we propose a minimal message-passing communication layer p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d83fcda47c06f2ce36a88bd020e416cc
http://hdl.handle.net/11568/779953
http://hdl.handle.net/11568/779953
Autor:
Marco Aldinucci, Massimo Torquati, Guilherme Peretti Pezzi, Claudia Misale, Fabio Tordini, Maurizio Drocco
Publikováno v:
ICDCS Workshops
The stochastic modelling of biological systems, coupled with Monte Carlo simulation of models, is an increasingly popular technique in Bioinformatics. The simulation-analysis workflow may result into a computationally expensive task reducing the inte
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b56ef0f55f94ff9544be09753ccdcd83
http://hdl.handle.net/11568/813777
http://hdl.handle.net/11568/813777
Autor:
Philippe O. A. Navaux, Márcia Cristina Cera, Guilherme Peretti Pezzi, Maurício L. Pilla, Nicolas Maillard
Publikováno v:
Job Scheduling Strategies for Parallel Processing ISBN: 9783540710349
JSSPP
JSSPP
The Message Passing Interface is one of the most well known parallel programming libraries. Although the standard MPI-1.2 norm only deals with a fixed number of processes, determined at the beginning of the parallel execution, the recently implemente
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f1f0ba137d386c02315ecedccee7559e
https://doi.org/10.1007/978-3-540-71035-6_2
https://doi.org/10.1007/978-3-540-71035-6_2