Publications

Archer

  1. ARCHER: Effectively Spotting Data Races in Large OpenMP Applications. S. Atzeni, G. Gopalakrishnan, Z. Rakamarić, D. H. Ahn, I. Laguna, M. Schulz, G. L. Lee, J. Protze, and M. S. Müller, 2016 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2016, Chicago, IL, USA.
    [Abstract] [BibTex] [PDF]

  2. Towards Providing Low-Overhead Data Race Detection for Large OpenMP Applications. J. Protze, S. Atzeni, D. H. Ahn, M. Schulz, G. Gopalakrishnan, M. S. Müller, I. Laguna, Z. Rakamarić, and G. L. Lee, 2014 LLVM Compiler Infrastructure in HPC, 2014, New Orleans, LA, USA.
    [Abstract] [BibTex] [PDF]

Ninja

  1. Noise injection techniques to expose subtle and unintended message races. Kento Sato, Dong H. Ahn, Ignacio Laguna, Gregory L. Lee, Martin Schulz, and Christopher M. Chambreau, Proceedings of the 22Nd acm sigplan symposium on principles and practice of parallel programming, 2017, Austin, TX, USA.
    [Abstract] [BibTex] [PDF]

ReMPI

  1. Clock Delta Compression for Scalable Order-replay of Non-deterministic Parallel Applications. Kento Sato, Dong H. Ahn, Ignacio Laguna, Gregory L. Lee, and Martin Schulz, Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, 2015, Austin, TX, USA.
    [Abstract] [BibTex] [PDF]


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