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Chapter Four - Simple Operations in Memory to Reduce Data Movement., and . Advances in Computers, (2017)Exploiting Row-Level Temporal Locality in DRAM to Reduce the Memory Access Latency., , , , , , and . CoRR, (2018)Adaptive-Latency DRAM (AL-DRAM)., , , , , , and . CoRR, (2016)Aksharantar: Towards building open transliteration tools for the next billion users., , , , , , , and . CoRR, (2022)RowClone: fast and energy-efficient in-DRAM bulk data copy and initialization., , , , , , , , , and 1 other author(s). MICRO, page 185-197. ACM, (2013)Ambit: in-memory accelerator for bulk bitwise operations using commodity DRAM technology., , , , , , , , , and . MICRO, page 273-287. ACM, (2017)Exploiting the DRAM Microarchitecture to Increase Memory-Level Parallelism., , , , and . CoRR, (2018)Simple DRAM and Virtual Memory Abstractions to Enable Highly Efficient Memory Systems.. CoRR, (2016)The Virtual Block Interface: A Flexible Alternative to the Conventional Virtual Memory Framework., , , , , , , , , and . ISCA, page 1050-1063. IEEE, (2020)MinUn: Accurate ML Inference on Microcontrollers., , , , and . LCTES, page 26-39. ACM, (2023)