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Entropy-Aware I/O Pipelining for Large-Scale Deep Learning on HPC Systems.

, , , , , , and . MASCOTS, page 145-156. IEEE Computer Society, (2018)

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A case study of MapReduce speculation for failure recovery., , and . DISCS@SC, page 7:1-7:8. ACM, (2015)High-Performance Key-Value Store On OpenSHMEM., , , , and . CCGrid, page 559-568. IEEE Computer Society / ACM, (2017)Entropy-Aware I/O Pipelining for Large-Scale Deep Learning on HPC Systems., , , , , , and . MASCOTS, page 145-156. IEEE Computer Society, (2018)SHMEMGraph: Efficient and Balanced Graph Processing Using One-Sided Communication., , , , and . CCGrid, page 513-522. IEEE Computer Society, (2018)OpenSHMEM over MPI as a Performance Contender: Thorough Analysis and Optimizations., , , and . OpenSHMEM, volume 13159 of Lecture Notes in Computer Science, page 39-60. Springer, (2021)DISP: Optimizations towards Scalable MPI Startup., , , and . COMHPC@SC, page 53-62. IEEE, (2016)Portable SHMEMCache: A High-Performance Key-Value Store on OpenSHMEM and MPI., , , and . OpenSHMEM, volume 10679 of Lecture Notes in Computer Science, page 114-129. Springer, (2017)Cracking Down MapReduce Failure Amplification through Analytics Logging and Migration., , and . IPDPS, page 261-270. IEEE Computer Society, (2015)SHMemCache: Enabling Memcached on the OpenSHMEM Global Address Model., , , , and . OpenSHMEM, volume 10007 of Lecture Notes in Computer Science, page 131-145. Springer, (2016)