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CINM (Cinnamon): A Compilation Infrastructure for Heterogeneous Compute In-Memory and Compute Near-Memory Paradigms., , , , and . CoRR, (2023)Coherently Attached Programmable Near-Memory Acceleration Platform and its application to Stencil Processing., , , , , , , and . DATE, page 668-673. IEEE, (2019)TDO-CIM: Transparent Detection and Offloading for Computation In-memory., , , , , , and . DATE, page 1602-1605. IEEE, (2020)A Review of Near-Memory Computing Architectures: Opportunities and Challenges., , , , , , , and . DSD, page 608-617. IEEE Computer Society, (2018)Progressive Raising in Multi-level IR., , , , , , and . CGO, page 15-26. IEEE, (2021)Polygeist: Raising C to Polyhedral MLIR., , , and . PACT, page 45-59. IEEE, (2021)MOM: Matrix Operations in MLIR., , , , , and . CoRR, (2022)Near-memory computing: Past, present, and future., , , , , , , and . Microprocess. Microsystems, (2019)Towards a high-performance AI compiler with upstream MLIR., , , , , , , and . CoRR, (2024)Declarative Loop Tactics for Domain-specific Optimization., , , and . ACM Trans. Archit. Code Optim., 16 (4): 55:1-55:25 (2020)