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GTC ON-DEMAND

Tools & Libraries
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Abstract:
Traditional CPU-based computing environments offer a variety of binary instrumentation frameworks, while the instrumentation and analysis tools available to date for GPU environments have been more limited. Here we present Panoptes, a binary ins ...Read More
Abstract:

Traditional CPU-based computing environments offer a variety of binary instrumentation frameworks, while the instrumentation and analysis tools available to date for GPU environments have been more limited. Here we present Panoptes, a binary instrumentation framework for CUDA that targets the GPU. By exploiting the GPU to run modified kernels, Panoptes allows computationally intensive programs to be run at the native parallelism of the device during analysis. To demonstrate the instrumentation capabilities of Panoptes, we will present our work on a memory addressability and validity checker that targets CUDA programs.

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Topics:
Tools & Libraries
Type:
Talk
Event:
GTC Silicon Valley
Year:
2012
Session ID:
S2078
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