本当は怖い情報科学

とあるHPC屋の趣味&実益ブログ

HPDC'17

HPDC'17が開催されています(私は参加していません)。

Programを眺めた感じ、個人的には以下の論文が面白そうです。

  • “CuMF_SGD: Parallelized Stochastic Gradient Descent for Matrix Factorization on GPUs” Xie, Tan, Fong, Liang
  • LetGo: A Lightweight Continuous Framework for HPC Applications Under Failures Fang, Guan, Debardeleben, Pattabiraman, Ripeanu
  • “Towards a More Complete Understanding of SDC Propagation” Calhoun, Snir, Olson, Gropp
  • “Diagnosing Machine Learning Pipelines with Fine-grained Lineage” Zhang, Sparks, Franklin
  • “COS: A Parallel Performance Model for Dynamic Variations in Processor Speed, Memory Speed, and Thread Concurrency” Li, Leon, Cameron
  • “Explaining Wide Area Data Transfer Performance” Liu, Balaprakash, Kettimuthu, Foster
  • “Machine and Application Aware Partitioning for Adaptive Mesh Refinement Applications” Fernando, Sundar, Duplyakin
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