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Neda: Supporting Direct Inter-Core Neighbor Data Exchange in GPUs., , , , and . IEEE Comput. Archit. Lett., 17 (2): 225-229 (2018)Reducing Power Consumption of GPGPUs Through Instruction Reordering., , , and . ISLPED, page 356-361. ACM, (2016)Focus on What is Needed: Area and Power Efficient FPGAs Using Turn-Restricted Switch Boxes., , , , and . ISVLSI, page 615-620. IEEE, (2019)CoMeT: Count-Min-Sketch-based Row Tracking to Mitigate RowHammer at Low Cost., , , , , , , and . CoRR, (2024)Victima: Drastically Increasing Address Translation Reach by Leveraging Underutilized Cache Resources., , , , , , , and . CoRR, (2023)MetaStore: High-Performance Metagenomic Analysis via In-Storage Computing., , , , , , , , , and 2 other author(s). CoRR, (2023)Functionally-Complete Boolean Logic in Real DRAM Chips: Experimental Characterization and Analysis., , , , , , , , , and . CoRR, (2024)ALP: Alleviating CPU-Memory Data Movement Overheads in Memory-Centric Systems., , , , , , , , , and . IEEE Trans. Emerg. Top. Comput., 11 (2): 388-403 (April 2023)TransPimLib: Efficient Transcendental Functions for Processing-in-Memory Systems., , , , , and . ISPASS, page 235-247. IEEE, (2023)NURA: A Framework for Supporting Non-Uniform Resource Accesses in GPUs., , , , , and . SIGMETRICS (Abstracts), page 39-40. ACM, (2022)