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A Novel Data-Centric Programming Model for Large-Scale Parallel Systems.

, , , , , , , , , , , , , , and . Euro-Par Workshops, volume 11997 of Lecture Notes in Computer Science, page 452-463. Springer, (2019)

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Record Linkage for Auto-tuning of High Performance Computing Systems., , , and . MEDI Workshops, volume 1481 of Communications in Computer and Information Science, page 138-151. Springer, (2021)SHAMan: A Versatile Auto-tuning Framework for Costly and Noisy HPC Systems., , and . OLA, volume 1684 of Communications in Computer and Information Science, page 87-104. Springer, (2022)SHAMan: A Flexible Framework for Auto-tuning HPC Systems., , and . MASCOTS (Revised Selected Papers), volume 12527 of Lecture Notes in Computer Science, page 147-158. Springer, (2020)Ephemeral Data Access Environments in the IO-SEA Project.. EMOSS@HPDC, page 1. ACM, (2022)A Novel Data-Centric Programming Model for Large-Scale Parallel Systems., , , , , , , , , and 5 other author(s). Euro-Par Workshops, volume 11997 of Lecture Notes in Computer Science, page 452-463. Springer, (2019)uMMAP-IO: User-Level Memory-Mapped I/O for HPC., , , , , , and . HiPC, page 363-372. IEEE, (2019)Recurrent Neural Network for Classifying of Hpc Applications., , and . SpringSim, page 1-12. IEEE, (2019)A comparative study of black-box optimization heuristics for online tuning of high performance computing I/O accelerators., , , and . Concurr. Comput. Pract. Exp., (2021)GrIOt: Graph-based Modeling of HPC Application I/O Call Stacks for Predictive Prefetch., , , and . SC Workshops, page 1194-1201. ACM, (2023)