Abstract
CUDA introduces developers to a number of concepts (such as kernels, streams, warps and explicitly multi-level memory) beyond what they are used to in serial, parallel and multi-threaded applications. Visibility into these elements is critical for troubleshooting and tuning applications that make use of CUDA. This paper will highlight CUDA concepts implemented in CUDA 3.0–4.0, the complications they introduce for troubleshooting, and how TotalView helps the user deal with these new CUDA specific constructs.
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© 2012 Springer-Verlag Berlin Heidelberg
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Gottbrath, C., Lüdtke, R. (2012). Debugging CUDA Accelerated Parallel Applications with TotalView. In: Brunst, H., Müller, M., Nagel, W., Resch, M. (eds) Tools for High Performance Computing 2011. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31476-6_5
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DOI: https://doi.org/10.1007/978-3-642-31476-6_5
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Publisher Name: Springer, Berlin, Heidelberg
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Online ISBN: 978-3-642-31476-6
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