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IMAGING: In-Memory AlGorithms for Image processiNG.

, , , , and . IEEE Trans. on Circuits and Systems, 65-I (12): 4258-4271 (2018)

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Not in Name Alone: A Memristive Memory Processing Unit for Real In-Memory Processing., , , , and . IEEE Micro, 38 (5): 13-21 (2018)Practical challenges in delivering the promises of real processing-in-memory machines., , , , , , and . DATE, page 1628-1633. IEEE, (2018)Gemmini: An Agile Systolic Array Generator Enabling Systematic Evaluations of Deep-Learning Architectures., , , , , , , , , and 4 other author(s). CoRR, (2019)Supporting the Momentum Training Algorithm Using a Memristor-Based Synapse., , , and . IEEE Trans. on Circuits and Systems, 66-I (4): 1571-1583 (2019)Memristive logic: A framework for evaluation and comparison., , , , , , and . PATMOS, page 1-8. IEEE, (2017)IMAGING: In-Memory AlGorithms for Image processiNG., , , , and . IEEE Trans. on Circuits and Systems, 65-I (12): 4258-4271 (2018)AutoPhase: Compiler Phase-Ordering for High Level Synthesis with Deep Reinforcement Learning., , , , , , and . CoRR, (2019)AutoPhase: Compiler Phase-Ordering for HLS with Deep Reinforcement Learning., , , , , , and . FCCM, page 308. IEEE, (2019)Efficient Algorithms for In-Memory Fixed Point Multiplication Using MAGIC., , , and . ISCAS, page 1-5. IEEE, (2018)Deep Reinforcement Learning in System Optimization., , , , , and . CoRR, (2019)