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Time series analysis acceleration with advanced vectorization extensions., , , and . J. Supercomput., 79 (9): 10178-10207 (June 2023)ALP: Alleviating CPU-Memory Data Movement Overheads in Memory-Centric Systems., , , , , , , , , and . IEEE Trans. Emerg. Top. Comput., 11 (2): 388-403 (April 2023)NATSA: A Near-Data Processing Accelerator for Time Series Analysis., , , , , , , and . ICCD, page 120-129. IEEE, (2020)Exploiting Vector Extennsions to Accelerate Time Series Analysis., , , , and . PDP, page 55-62. IEEE, (2022)SparseP: Efficient Sparse Matrix Vector Multiplication on Real Processing-In-Memory Architectures., , , , , and . ISVLSI, page 288-291. IEEE, (2022)Benchmarking Memory-Centric Computing Systems: Analysis of Real Processing-In-Memory Hardware., , , , , and . IGSC (Workshops), page 1-7. IEEE, (2021)PointerVol: A Laser Pointer for Swept Volumetric Displays., , , , , and . UIST, page 112:1-112:8. ACM, (2024)SparseP: Towards Efficient Sparse Matrix Vector Multiplication on Real Processing-In-Memory Architectures., , , , , and . Proc. ACM Meas. Anal. Comput. Syst., 6 (1): 21:1-21:49 (2022)Energy-Efficient Time Series Analysis Using Transprecision Computing., , , and . SBAC-PAD, page 83-90. IEEE, (2020)Benchmarking a New Paradigm: An Experimental Analysis of a Real Processing-in-Memory Architecture., , , , , and . CoRR, (2021)