Author of the publication

Minimizing Area and Energy of Deep Learning Hardware Design Using Collective Low Precision and Structured Compression.

, , , , , and . CoRR, (2018)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

 

Other publications of authors with the same name

Minimizing Area and Energy of Deep Learning Hardware Design Using Collective Low Precision and Structured Compression., , , , , and . CoRR, (2018)FP-IMC: A 28nm All-Digital Configurable Floating-Point In-Memory Computing Macro., , , , , and . ESSCIRC, page 405-408. IEEE, (2023)Deep Neural Network Training Accelerator Designs in ASIC and FPGA., , , and . ISOCC, page 21-22. IEEE, (2020)FixyNN: Energy-Efficient Real-Time Mobile Computer Vision Hardware Acceleration via Transfer Learning., , , , , and . MLSys, mlsys.org, (2019)Algorithm-Hardware Co-Optimization for Energy-Efficient Drone Detection on Resource-Constrained FPGA., , , , , , and . FPT, page 1-9. IEEE, (2021)FPGA-based Low-Batch Training Accelerator for Modern CNNs Featuring High Bandwidth Memory., , , , , , and . ICCAD, page 74:1-74:8. IEEE, (2020)FixyNN: Efficient Hardware for Mobile Computer Vision via Transfer Learning., , , , , and . CoRR, (2019)Minimizing area and energy of deep learning hardware design using collective low precision and structured compression., , , , , and . ACSSC, page 1907-1911. IEEE, (2017)Algorithm and hardware design of discrete-time spiking neural networks based on back propagation with binary activations., , , , , , and . BioCAS, page 1-5. IEEE, (2017)