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Gibbon: An Efficient Co-Exploration Framework of NN Model and Processing-In-Memory Architecture.

, , , , , , and . IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 42 (11): 4075-4089 (November 2023)

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Gibbon: An Efficient Co-Exploration Framework of NN Model and Processing-In-Memory Architecture., , , , , , and . IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 42 (11): 4075-4089 (November 2023)Optimizing Graph-based Approximate Nearest Neighbor Search: Stronger and Smarter., , , , , , , , and . MDM, page 179-184. IEEE, (2022)A Configurable Multi-Precision CNN Computing Framework Based on Single Bit RRAM., , , , , , , and . DAC, page 56. ACM, (2019)MNSIM-TIME: Performance Modeling Framework for Training-In-Memory Architectures., , , , , and . AICAS, page 1-4. IEEE, (2021)Reliability-Aware Training and Performance Modeling for Processing-In-Memory Systems., , , , , , and . ASP-DAC, page 847-852. ACM, (2021)3M-AI: A Multi-task and Multi-core Virtualization Framework for Multi-FPGA AI Systems in the Cloud., , , , , , , , , and 1 other author(s). FPGA, page 228. ACM, (2021)Feature Variance Regularization: A Simple Way to Improve the Generalizability of Neural Networks., , , , , , and . AAAI, page 4190-4197. AAAI Press, (2020)Gibbon: Efficient Co-Exploration of NN Model and Processing-In-Memory Architecture., , , , , , and . DATE, page 867-872. IEEE, (2022)MNSIM 2.0: A Behavior-Level Modeling Tool for Memristor-based Neuromorphic Computing Systems., , , , , , , , , and 3 other author(s). ACM Great Lakes Symposium on VLSI, page 83-88. ACM, (2020)PIM-HLS: An Automatic Hardware Generation Tool for Heterogeneous Processing-In-Memory-based Neural Network Accelerators., , , , , , , and . DAC, page 1-6. IEEE, (2023)