SysCellC: a data-flow programming model on multi-GPU | Zendy

Dominique Houzet | Zendy; Sylvain Huet | Zendy; Anis Ur Rahman | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

SysCellC: a data-flow programming model on multi-GPU

Author(s) -

Dominique Houzet,

Sylvain Huet,

Anis Ur Rahman

Publication year - 2010

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2010.04.115

Subject(s) - computer science , systemc , programmer , compiler , parallel computing , exploit , scheduling (production processes) , computer architecture , data flow diagram , dataflow , programming language , database , operations management , computer security , economics

High performance computing with low cost machines becomes a reality with GPU. Unfortunately, high performances are achieved when the programmer exploits the architectural specificities of the GPU processors: he has to focus on inter-GPU communications, task allocations among the GPUs, task scheduling, external memory prefetching, and synchronization. In this paper, we propose and evaluate a compile flow. It automates the transformation of a program expressed with the high level system design language SystemC, to its implementation on a cluster of multi-GPU. SystemC constructs and scheduler are directly mapped to the GPU API, preserving their semantic. Inter-GPU communications are abstracted by means of SystemC channels

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research