LHCb GPU acceleration project

A. Badalov; D. Cámpora; N. Neufeld; X. Vilasís-Cardona

doi:10.1088/1748-0221/11/01/P01001

LHCb GPU acceleration project

A. Badalov^*
, D. Cámpora
, N. Neufeld
, X. Vilasís-Cardona

^*Autor/a de correspondencia de este trabajo

Facultad Internacional de Comercio y Economía Digital La Salle

Producción científica: Artículo en revista indizada › Artículo › revisión exhaustiva

1 Cita (Scopus)

Resumen

The LHCb detector is due to be upgraded for processing high-luminosity collisions, which will increase data bandwidth to the event filter farm from 100 GB/s to 4 TB/s, encouraging us to look for new ways of accelerating Online reconstruction. The Coprocessor Manager is a new framework for integrating LHCb's existing computation pipelines with massively parallel algorithms running on GPUs and other accelerators. This paper describes the system and analyzes its performance.

Idioma original	Inglés
Número de artículo	P01001
Publicación	Journal of Instrumentation
Volumen	11
N.º	1
DOI	https://doi.org/10.1088/1748-0221/11/01/P01001
Estado	Publicada - 5 ene 2016

Acceder al documento

10.1088/1748-0221/11/01/P01001

Otros archivos y enlaces

Enlace a la publicación en Scopus

Cómo citar

@article{0721eeff9de144f9b295a21e5c6a608b,

title = "LHCb GPU acceleration project",

abstract = "The LHCb detector is due to be upgraded for processing high-luminosity collisions, which will increase data bandwidth to the event filter farm from 100 GB/s to 4 TB/s, encouraging us to look for new ways of accelerating Online reconstruction. The Coprocessor Manager is a new framework for integrating LHCb's existing computation pipelines with massively parallel algorithms running on GPUs and other accelerators. This paper describes the system and analyzes its performance.",

keywords = "Data processing methods, Software architectures (event data models, frameworks and databases)",

author = "A. Badalov and D. C{\'a}mpora and N. Neufeld and X. Vilas{\'i}s-Cardona",

note = "Publisher Copyright: {\textcopyright} CERN 2016.",

year = "2016",

month = jan,

day = "5",

doi = "10.1088/1748-0221/11/01/P01001",

language = "English",

volume = "11",

journal = "Journal of Instrumentation",

issn = "1748-0221",

publisher = "Institute of Physics",

number = "1",

}

TY - JOUR

T1 - LHCb GPU acceleration project

AU - Badalov, A.

AU - Cámpora, D.

AU - Neufeld, N.

AU - Vilasís-Cardona, X.

PY - 2016/1/5

Y1 - 2016/1/5

N2 - The LHCb detector is due to be upgraded for processing high-luminosity collisions, which will increase data bandwidth to the event filter farm from 100 GB/s to 4 TB/s, encouraging us to look for new ways of accelerating Online reconstruction. The Coprocessor Manager is a new framework for integrating LHCb's existing computation pipelines with massively parallel algorithms running on GPUs and other accelerators. This paper describes the system and analyzes its performance.

AB - The LHCb detector is due to be upgraded for processing high-luminosity collisions, which will increase data bandwidth to the event filter farm from 100 GB/s to 4 TB/s, encouraging us to look for new ways of accelerating Online reconstruction. The Coprocessor Manager is a new framework for integrating LHCb's existing computation pipelines with massively parallel algorithms running on GPUs and other accelerators. This paper describes the system and analyzes its performance.

KW - Data processing methods

KW - Software architectures (event data models, frameworks and databases)

UR - https://www.scopus.com/pages/publications/84956986727

U2 - 10.1088/1748-0221/11/01/P01001

DO - 10.1088/1748-0221/11/01/P01001

M3 - Article

AN - SCOPUS:84956986727

SN - 1748-0221

VL - 11

JO - Journal of Instrumentation

JF - Journal of Instrumentation

IS - 1

M1 - P01001

ER -

LHCb GPU acceleration project

Resumen

Acceder al documento

Otros archivos y enlaces

Huella

Cómo citar