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leemgs / asplos2023-ae-awards

ASPLOS2022, Artifact Evaluation (Awards)

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Summer

  • Copy-on-Pin: The Missing Piece for Correct Copy-on-Write

    • David Hildenbrand, Martin Schulz (Technical Univ. of Munich); Nadav Amit (VMware Research Group)

  • TiLT: A Time-Centric Approach for Stream Query Optimization and Parallelization

    • Anand Jayarajan (Univ. of Toronto / Vector Inst.); Wei Zhao, Yudi Sun (Univ. of Toronto); Gennady Pekhimenko (Univ. of Toronto / Vector Inst.)

  • (skip) NNSmith: Generating Diverse and Valid Test Cases for Deep Learning Compilers

    • Jiawei Liu (Univ. of Illinois Urbana-Champaign); Jinkun Lin, Fabian Ruffy (New York Univ.); Cheng Tan (Northeastern Univ.); Jinyang Li, Aurojit Panda (New York Univ.); Lingming Zhang (Univ. of Illinois Urbana-Champaign)

  • MC Mutants: Evaluating and Improving Testing for Memory Consistency Specifications

    • Reese Levine, Tianhao Guo, Mingun Cho (Univ. of California, Santa Cruz); Alan Baker, Raph Levien, David Neto (Google); Andrew Quinn, Tyler Sorensen (Univ. of California, Santa Cruz)

  • Stepwise Debugging for Hardware Accelerators

    • Griffin Berlstein, Rachit Nigam (Cornell Univ.); Chris Gyurgyik (Google); Adrian Sampson (Cornell Univ.)

  • Compiling Distributed System Models with PGo

    • Finn Hackett, Shayan Hosseini, Renato Costa, Matthew Do, Ivan Beschastnikh (Univ. of British Columbia)

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ASPLOS2022, Artifact Evaluation (Awards)

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