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A Computational Stack for Cross-Domain Acceleration., , , , , , , and . HPCA, page 54-70. IEEE, (2021)Accelerating attention through gradient-based learned runtime pruning., , , , and . ISCA, page 902-915. ACM, (2022)In-Storage Domain-Specific Acceleration for Serverless Computing., , , , , , , , , and 1 other author(s). ASPLOS (2), page 530-548. ACM, (2024)Tandem Processor: Grappling with Emerging Operators in Neural Networks., , , , , , , , , and 2 other author(s). ASPLOS (2), page 1165-1182. ACM, (2024)Thesios: Synthesizing Accurate Counterfactual I/O Traces from I/O Samples., , , , and . ASPLOS (3), page 1016-1032. ACM, (2024)VeriGOOD-ML: An Open-Source Flow for Automated ML Hardware Synthesis., , , , , , , , , and 6 other author(s). ICCAD, page 1-7. IEEE, (2021)FlexiGAN: An End-to-End Solution for FPGA Acceleration of Generative Adversarial Networks., , , , , , and . FCCM, page 65-72. IEEE Computer Society, (2018)Bit-Parallel Vector Composability for Neural Acceleration., , , , and . DAC, page 1-6. IEEE, (2020)Restoring the Broken Covenant Between Compilers and Deep Learning Accelerators., , , , , , , , and . CoRR, (2023)Physically Accurate Learning-based Performance Prediction of Hardware-accelerated ML Algorithms., , , , , , , , , and 1 other author(s). MLCAD, page 119-126. ACM / IEEE, (2022)