The future of parallel computing: GPU vs CELL - General purpose planning against fast graphical computation architectures, which is the best solution for general purposes computation?

被引:0
作者
Bianchi, Luca [1 ]
Gatti, Riccardo [1 ]
Lombardi, Luca [1 ]
机构
[1] Univ Pavia, Dept Informat Engn, Pavia, Italy
来源
GRAPP 2008: PROCEEDINGS OF THE THIRD INTERNATIONAL CONFERENCE ON COMPUTER GRAPHICS THEORY AND APPLICATIONS | 2008年
关键词
Real-time Visual Simulations; Parallel Computing; HPC; CELL; GPU; GPGPU; general purposes; fast computing;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Complex models require high performance computing (HPC) which means Parallel Computing. That is a fact. The question we try to address in this paper is "which is the best suitable solution for HPC contexts such as rendering? Will it be possible to use it in General Purpose elaborations?" We start from these questions and analyze two different approaches, IBM CELL and the well known GPGPU, showing how changing our minds and breaking some assumptions can lead to unexpected results and open a whole set of new possibilities. We talk about rendering, but quickly move slightly towards general purpose computation, because many algorithms used in Visual Simulations are not only referred to rendering issues but to a wider range of problems.
引用
收藏
页码:419 / 425
页数:7
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