Zobrazeno 1 - 10
of 52
pro vyhledávání: '"J. Daniel Garcia"'
Autor:
Placido Fernandez Declara, Daniel Hugo Campora Perez, Javier Garcia-Blas, Dorothea Vom Bruch, J. Daniel Garcia, Niko Neufeld
Publikováno v:
IEEE Access, Vol 7, Pp 91612-91626 (2019)
Real-time data processing is one of the central processes of particle physics experiments which require large computing resources. The LHCb (Large Hadron Collider beauty) experiment will be upgraded to cope with a particle bunch collision rate of 30
Externí odkaz:
https://doaj.org/article/36a55d64089a4a51a1eb35c738e28272
Publikováno v:
IEEE Access, Vol 6, Pp 39944-39961 (2018)
Parallelizing and optimizing codes for recent multi-/many-core processors have been recognized to be a complex task. For this reason, strategies to automatically transform sequential codes into parallel and discover optimization opportunities are cru
Externí odkaz:
https://doaj.org/article/77d97f163c6d4837b43a582c58d075e9
Publikováno v:
Future Generation Computer Systems
e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid
instname
e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid
instname
In recent years, on-line processing of data streams (DaSP) has been established as a major computing paradigm. This is due mainly to two reasons: first, more and more data that are generated in near real-time need to be processed; the second reason i
Publikováno v:
e-Archivo: Repositorio Institucional de la Universidad Carlos III de Madrid
Universidad Carlos III de Madrid (UC3M)
e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid
instname
Parallel Computing
Universidad Carlos III de Madrid (UC3M)
e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid
instname
Parallel Computing
In recent years, the large volumes of stream data and the near real-time requirements of data streaming applications have exacerbated the need for new scalable algorithms and programming interfaces for distributed and shared-memory platforms. To cont
Autor:
Javier Fernández, Axel Naumann, Javier López-Gómez, David del Rio Astorga, Vassil Vassilev, J. Daniel Garcia
Publikováno v:
CC
Most implementations of the C++ programming language generate binary executable code. However, interpreted execution of C++ sources has its own use cases as the Cling interpreter from CERN's ROOT project has shown. Some limitations are derived from t
Publikováno v:
EPJ Web of Conferences, Vol 245, p 01006 (2020)
Compass is a SPMD (Single Program Multiple Data) tracking algorithm for the upcoming LHCb upgrade in 2021. 40 Tb/s need to be processed in real-time to select events. Alternative frameworks, algorithms and architectures are being tested to cope with
Challenging the abstraction penalty in parallel patterns libraries: Adding FastFlow support to GrPPI
Autor:
Marco Aldinucci, Marco Danelutto, Gabriele Mencagli, Fabio Tordini, David del Rio, Massimo Torquati, J. Daniel Garcia
In the last years, pattern-based programming has been recognized as a good practice for efficiently exploiting parallel hardware resources. Following this approach, multiple libraries have been designed for providing such high-level abstractions to e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::25216b205f51bc5f971afebfaa3c4701
http://hdl.handle.net/2318/1762686
http://hdl.handle.net/2318/1762686
Publikováno v:
IEEE Access, Vol 6, Pp 39944-39961 (2018)
Repositori Universitat Jaume I
Universitat Jaume I
e-Archivo: Repositorio Institucional de la Universidad Carlos III de Madrid
Universidad Carlos III de Madrid (UC3M)
e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid
instname
Repositori Universitat Jaume I
Universitat Jaume I
e-Archivo: Repositorio Institucional de la Universidad Carlos III de Madrid
Universidad Carlos III de Madrid (UC3M)
e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid
instname
Parallelizing and optimizing codes for recent multi-/many-core processors have been recognized to be a complex task. For this reason, strategies to automatically transform sequential codes into parallel and discover optimization opportunities are cru
Publikováno v:
International Journal of Parallel Programming. 47:161-163
Publikováno v:
The Journal of Supercomputing. 74:5625-5627