Operating System Challenges for GPU Resource Management
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2014, Vol 2, Issue 9
Abstract
The graphics processing units(GPU) have rapidly evolved to become high performance accelerators for dataparallel computing. For accelerating graphics and data-parallel compute-intensive applications the GPU is a most popular platform. As technology stands today , the GPU is the most well-suited platform. GPUs can accelerate the processing speeds significantly. It significantly outperforms traditional multi-core processor in performance and energy efficiency. The efforts of GPU resource management for multitasking environments are lacking models, designs and implementation. This paper identifies a GPU resource management model to provide a basis for operating systems research using GPU technology .We present design concepts for GPU resource management. In this paper, we discuss about the list of operating system challenges for GPU resource management. The specific idea of GPU scheduling is for real-time system. Our primary evaluation demonstrate that the performance of open-source software is competitive with that of proprietary software , and hence operating systems research can start investigating GPU resource management.
Authors and Affiliations
Jyoti Chandel, Neha Gupta, Jyoti Yadav
Keywords
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