GSched: An Efficient Scheduler for Hybrid CPU-GPU HPC Systems

Autor:	Mariano Raboso Mateos, Juan Antonio Cotobal Robles
Rok vydání:	2013
Předmět:	CUDA Parallel processing (DSP implementation) Computer science High performance computation Parallel computing Grid Software programming Execution time
Zdroj:	Distributed Computing and Artificial Intelligence ISBN: 9783319005508 DCAI
DOI:	10.1007/978-3-319-00551-5_22
Popis:	Modern and efficient GPUs evolve towards a new integration paradigm for parallel processing systems, where Message-Passing Interfaces (MPI), Open MP and GPU architectures (CUDA) may be joined to perform a powerful high performance computation system (HPC). Nevertheless, this challenge requires much effort to properly integrate both technology and software programming. This paper describes GSched (Grid Scheduler), an optimized scheduler that allows distributing both CPU and GPU processor execution using a previous calculated optimum pattern, obtaining the best elapsed execution time for overall execution. Furthermore, high-level algorithm description is introduced to efficiently distribute processing and network resources.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::6a633b4ba3ec5ef3a3f7f48f849221f8 https://doi.org/10.1007/978-3-319-00551-5_22 Zobrazit plný text záznamu