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An Architecture-Level Energy and Area Estimator for Processing-In-Memory Accelerator Designs.

, , and . ISPASS, page 116-118. IEEE, (2020)

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Efficient Computing for AI and Robotics.. VLSI-DAT, page 1. IEEE, (2020)Accelergy: An Architecture-Level Energy Estimation Methodology for Accelerator Designs., , and . ICCAD, page 1-8. ACM, (2019)Domain-Specific Language Abstractions for Compression., , , , , , and . DCC, page 364. IEEE, (2021)SE4: ICs in PandemICs., , , , , , , , , and 6 other author(s). ISSCC, page 543-545. IEEE, (2021)Session 9 Overview: ML Processors From Cloud to Edge Machine Learning Subcommittee., , and . ISSCC, page 142-143. IEEE, (2021)NetAdaptV2: Efficient Neural Architecture Search With Fast Super-Network Training and Architecture Optimization., , and . CVPR, page 2402-2411. Computer Vision Foundation / IEEE, (2021)FastDepth: Fast Monocular Depth Estimation on Embedded Systems., , , , and . ICRA, page 6101-6108. IEEE, (2019)Efficient Computation of Map-scale Continuous Mutual Information on Chip in Real Time., , , and . IROS, page 6464-6470. IEEE, (2021)RAELLA: Reforming the Arithmetic for Efficient, Low-Resolution, and Low-Loss Analog PIM: No Retraining Required!, , and . ISCA, page 27:1-27:16. ACM, (2023)Searching for Efficient Multi-Stage Vision Transformers., , and . CoRR, (2021)