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Predicting memory-access cost based on data-access patterns.

, , , and . CLUSTER, page 327-336. IEEE Computer Society, (2004)

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Spatially clustered join on heterogeneous scientific data sets., , and . IEEE BigData, page 371-380. IEEE Computer Society, (2015)Improving parallel I/O autotuning with performance modeling., , , , and . HPDC, page 253-256. ACM, (2014)Optimizing I/O Performance of HPC Applications with Autotuning., , , and . ACM Trans. Parallel Comput., 5 (4): 15:1-15:27 (2019)Optimizing fastquery performance on lustre file system., , , and . SSDBM, page 29:1-29:12. ACM, (2013)Best-effort semantic document search on GPUs., , , , and . GPGPU, volume 425 of ACM International Conference Proceeding Series, page 86-93. ACM, (2010)TECA: Petascale Pattern Recognition for Climate Science., , , , , and . CAIP (2), volume 9257 of Lecture Notes in Computer Science, page 426-436. Springer, (2015)Automatic Memory Optimizations for Improving MPI Derived Datatype Performance., , , and . PVM/MPI, volume 4192 of Lecture Notes in Computer Science, page 238-246. Springer, (2006)AMR-aware in situ indexing and scalable querying., , , , , and . SpringSim (HPS), page 26. ACM, (2016)Pattern-driven parallel I/O tuning., , , and . PDSW@SC, page 43-48. ACM, (2015)A Multiplatform Study of I/O Behavior on Petascale Supercomputers., , , , , , , , and . HPDC, page 33-44. ACM, (2015)