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HighLight: Efficient and Flexible DNN Acceleration with Hierarchical Structured Sparsity., , , , , and . MICRO, page 1106-1120. ACM, (2023)Sparseloop: An Analytical, Energy-Focused Design Space Exploration Methodology for Sparse Tensor Accelerators., , , , and . ISPASS, page 232-234. IEEE, (2021)Enabling Flexibility for Sparse Tensor Acceleration via Heterogeneity., , , , , , , and . CoRR, (2022)Timeloop: A Systematic Approach to DNN Accelerator Evaluation., , , , , , , , , and . ISPASS, page 304-315. IEEE, (2019)A Formalism of DNN Accelerator Flexibility., , , , and . SIGMETRICS (Abstracts), page 53-54. ACM, (2022)Sparseloop: An Analytical Approach To Sparse Tensor Accelerator Modeling., , , , and . MICRO, page 1377-1395. IEEE, (2022)DiGamma: Domain-aware Genetic Algorithm for HW-Mapping Co-optimization for DNN Accelerators., , , and . DATE, page 232-237. IEEE, (2022)Union: A Unified HW-SW Co-Design Ecosystem in MLIR for Evaluating Tensor Operations on Spatial Accelerators., , , , , , , and . PACT, page 30-44. IEEE, (2021)Mind mappings: enabling efficient algorithm-accelerator mapping space search., , , , , and . ASPLOS, page 943-958. ACM, (2021)SCNN: An Accelerator for Compressed-sparse Convolutional Neural Networks., , , , , , , , and . ISCA, page 27-40. ACM, (2017)