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LTTng CLUST: A system-wide unified CPU and GPU tracing tool for OpenCL applications

David Couturier and Michel R. Dagenais

Article (2015)

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Cite this document: Couturier, D. & Dagenais, M. R. (2015). LTTng CLUST: A system-wide unified CPU and GPU tracing tool for OpenCL applications. Advances in Software Engineering, 2015. doi:10.1155/2015/940628
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Abstract

As computation schemes evolve and many new tools become available to programmers to enhance the performance of their applications, many programmers started to look towards highly parallel platforms such as Graphical Processing Unit (GPU). Offloading computations that can take advantage of the architecture of the GPU is a technique that has proven fruitful in recent years. This technology enhances the speed and responsiveness of applications. Also, as a side effect, it reduces the power requirements for those applications and therefore extends portable devices battery life and helps computing clusters to run more power efficiently. Many performance analysis tools such as LTTng, strace and SystemTap already allow Central Processing Unit (CPU) tracing and help programmers to use CPU resources more efficiently. On the GPU side, different tools such as Nvidia’s Nsight, AMD’s CodeXL, and third party TAU and VampirTrace allow tracing Application Programming Interface (API) calls and OpenCL kernel execution. These tools are useful but are completely separate, and none of them allow a unified CPU-GPU tracing experience. We propose an extension to the existing scalable and highly efficient LTTng tracing platform to allow unified tracing of GPU along with CPU’s full tracing capabilities.

Open Access document in PolyPublie
Subjects: 2700 Technologie de l'information > 2700 Technologie de l'information
2700 Technologie de l'information > 2706 Génie logiciel
2700 Technologie de l'information > 2715 Optimisation
Department: Département de génie informatique et génie logiciel
Research Center: Non applicable
Funders: CRSNG/NSERC, Ericsson, EfficiOS
Date Deposited: 16 Aug 2021 13:22
Last Modified: 17 Aug 2021 01:20
PolyPublie URL: https://publications.polymtl.ca/4834/
Document issued by the official publisher
Journal Title: Advances in Software Engineering (vol. 2015)
Publisher: Hindawi
Official URL: https://doi.org/10.1155/2015/940628

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