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Efficient Pause Location Prediction Using Quantum Annealing Simulations and Machine Learning.

, , , and . IEEE Access, (2023)

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Hierarchical parallel processing of large scale data clustering on a PC cluster with GPU co-processing., and . J. Supercomput., 36 (3): 219-234 (2006)A Machine Learning-Based Approach for Selecting SpMV Kernels and Matrix Storage Formats., , , and . IEICE Trans. Inf. Syst., 101-D (9): 2307-2314 (2018)Online MPI Process Mapping for Coordinating Locality and Memory Congestion on NUMA Systems., , , and . Supercomput. Front. Innov., 7 (1): 71-90 (2020)Evaluating I/O Acceleration Mechanisms of SX-Aurora TSUBASA., , , and . IPDPS Workshops, page 752-759. IEEE, (2021)Improving the Accuracy in SpMV Implementation Selection with Machine Learning., , , , and . CANDAR (Workshops), page 172-177. IEEE, (2020)A memory bank conflict prevention mechanism for SYCL on SX-Aurora TSUBASA., , , and . CANDAR (Workshops), page 217-222. IEEE, (2021)A Method for Reducing Time-to-Solution in Quantum Annealing Through Pausing., and . HPC Asia, page 137-145. ACM, (2022)neoSYCL: a SYCL implementation for SX-Aurora TSUBASA., , and . HPC Asia, page 50-57. ACM, (2021)Spatiotemporal Anomaly Detection for Large-Scale Sensor Data., , and . PAAP, page 162-168. IEEE, (2021)A power-aware shared cache mechanism based on locality assessment of memory reference for CMPs., , , and . MEDEA@PACT, page 113-120. ACM, (2007)