GPU-to-CPU Callbacks
| Autor: | Michael Brian Cox, Jeff A. Stuart, John D. Owens |
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| Rok vydání: | 2011 |
| Předmět: | |
| Zdroj: | Euro-Par 2010 Parallel Processing Workshops ISBN: 9783642218774 Euro-Par Workshops |
| DOI: | 10.1007/978-3-642-21878-1_45 |
| Popis: | We present GPU-to-CPU callbacks, a new mechanism and abstraction for GPUs that offers them more independence in a heterogeneous computing environment. Specifically, we provide a method for GPUs to issue callback requests to the CPU. These requests serve as a tool for ease-of-use, future proofing of code, and new functionality. We classify the types of these requests into three categories: System calls (e.g. network and file I/O), device/host memory transfers, and CPU compute, and provide motivation as to why all are important. We show how to implement such a mechanism in CUDA using pinned system memory and discuss possible GPU-driver features to alleviate the need for polling, thus making callbacks more efficient with CPU usage and power consumption. We implement several examples demonstrating the use of callbacks for file I/O, network I/O, memory allocation, and debugging. |
| Databáze: | OpenAIRE |
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