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Overview of Deep Neural Networks BOOK CHAPTER published 2020 in Synthesis Lectures on Computer Architecture |
Efficient Processing of Deep Neural Networks BOOK published 2020 in Synthesis Lectures on Computer Architecture |
Conclusion BOOK CHAPTER published 2020 in Synthesis Lectures on Computer Architecture |
Introduction BOOK CHAPTER published 2020 in Synthesis Lectures on Computer Architecture |
Designing Efficient DNN Models BOOK CHAPTER published 2020 in Synthesis Lectures on Computer Architecture |
Reducing Precision BOOK CHAPTER published 2020 in Synthesis Lectures on Computer Architecture |
Kernel Computation BOOK CHAPTER published 2020 in Synthesis Lectures on Computer Architecture |
Advanced Technologies BOOK CHAPTER published 2020 in Synthesis Lectures on Computer Architecture |
Exploiting Sparsity BOOK CHAPTER published 2020 in Synthesis Lectures on Computer Architecture |
Designing DNN Accelerators BOOK CHAPTER published 2020 in Synthesis Lectures on Computer Architecture |
Operation Mapping on Specialized Hardware BOOK CHAPTER published 2020 in Synthesis Lectures on Computer Architecture |
Efficient Processing of Deep Neural Networks JOURNAL ARTICLE published 16 June 2020 in Synthesis Lectures on Computer Architecture |
Key Metrics and Design Objectives BOOK CHAPTER published 2020 in Synthesis Lectures on Computer Architecture |
Efficient Processing of Deep Neural Networks: A Tutorial and Survey JOURNAL ARTICLE published December 2017 in Proceedings of the IEEE |
14.5 Eyeriss: An energy-efficient reconfigurable accelerator for deep convolutional neural networks PROCEEDINGS ARTICLE published January 2016 in 2016 IEEE International Solid-State Circuits Conference (ISSCC) |
A method to estimate the energy consumption of deep neural networks PROCEEDINGS ARTICLE published October 2017 in 2017 51st Asilomar Conference on Signals, Systems, and Computers |
Design Considerations for Efficient Deep Neural Networks on Processing-in-Memory Accelerators PROCEEDINGS ARTICLE published December 2019 in 2019 IEEE International Electron Devices Meeting (IEDM) |
Eyeriss: A Spatial Architecture for Energy-Efficient Dataflow for Convolutional Neural Networks JOURNAL ARTICLE published 2017 in IEEE Micro |
Eyeriss: An Energy-Efficient Reconfigurable Accelerator for Deep Convolutional Neural Networks JOURNAL ARTICLE published January 2017 in IEEE Journal of Solid-State Circuits |
Eyeriss: A Spatial Architecture for Energy-Efficient Dataflow for Convolutional Neural Networks PROCEEDINGS ARTICLE published June 2016 in 2016 ACM/IEEE 43rd Annual International Symposium on Computer Architecture (ISCA) |