Advanced Search

Browse by Discipline

Scientific Societies

E-print Alerts

Add E-prints

E-print Network

  Advanced Search  

Multicore Platforms for Scientific Computing: Cell BE and NVIDIA Tesla

Summary: Multicore Platforms for Scientific Computing:
Cell BE and NVIDIA Tesla
J. FernŽandez, M.E. Acacio, G. BernabŽe, J.L. AbellŽan, J. Franco
Dept. de IngenierŽia y TecnologŽia de Computadores, Universidad de Murcia
Facultad de InformŽatica, Campus de Espinardo s/n, 30100 Murcia (Spain)
Abstract - There are two multicore platforms that are
currently concentrating an enormous attention due to their
tremendous potential in terms of sustained performance: the
Cell Broadband Engine (Cell BE from now on) and the
NVIDIA Tesla computing solutions. The former is a re-
cent heterogeneous chip-multiprocessor (CMP) architecture
jointly developed by IBM, Sony and Toshiba to offer very
high performance, especially on game and multimedia ap-
plications. In fact, it is the heart of the PlayStation 3. The
latter are general-purpose GPUs (GPGPU) used as data-
parallel computing devices based on the Computed Unified
Device Architecture (CUDA) common to the latest NVIDIA
GPUs. The common denominator is a multicore platform
which provides an enormous potential performance benefit
driven by a non-traditional programming model. In this pa-


Source: Acacio, Manuel - Departamento de Ingenieria y Tecnologia de Computadores, Universidad de Murcia


Collections: Computer Technologies and Information Sciences