Operating Systems Challenges for GPU Resource Management







Operating systems challenges for GPU resource management
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The graphics processing unit (GPU) is becoming a very powerful platform to accelerate graphics and data-parallel compute-intensive applications. It significantly outperforms traditional multi-core processors in performance and energy efficiency. Its application domains also range widely from embedded systems to high-performance computing systems. However, operating systems support is not adequate, lacking models, designs, and implementation efforts of GPU resource management for multi-tasking environments. This

Operating System Challenges for GPU Resource Management
free download

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



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