Hardware-aware Automated AI for Efficient Deep Learning across Hybrid Deployments: Current Landscape and Future Directions
- 2021
- ISPASS 2021
Workshop paper
Publications
295 results for AI Hardware
A 7nm 4-Core AI Chip with 25.6TFLOPS Hybrid FP8 Training, 102.4TOPS INT4 Inference and Workload-Aware Throttling
- Ankur Agrawal
- Saekyu Lee
- et al.
- 2021
- ISSCC 2021
Conference paperPrecision of synaptic weights programmed in phase-change memory devices for deep learning inference
- S. R. Nandakumar
- Irem Boybat
- et al.
- 2020
- IEDM 2020
Conference paperProspects for photonic implementations of neuromorphic devices and systems
- Bert J. Offrein
- Jacqueline Geler-Kremer
- et al.
- 2020
- IEDM 2020
Conference paperOn-chip phase change optical matrix multiplication core
- Xuan Li
- Nathan Youngblood
- et al.
- 2020
- IEDM 2020
Conference paperUltra-Low Precision 4-bit Training of Deep Neural Networks
- Xiao Sun
- Naigang Wang
- et al.
- 2020
- NeurIPS 2020
Conference paperScaleCom: Scalable Sparsified Gradient Compression for Communication-Efficient Distributed Training
- Chia-Yu Chen
- Jiamin Ni
- et al.
- 2020
- NeurIPS 2020
Conference paperComparing Fisher Information Regularization with Distillation for DNN Quantization
- Prad Kadambi
- Karthikeyan Natesan Ramamurthy
- et al.
- 2020
- NeurIPS 2020
Workshop paperIn Situ Scanning Transmission Electron Diffraction of Individual Electrically-Biased Phase Change Memory Ag-In-Sb-Te Line Cells
- Vadim Migunov
- Xuan Thang Vu
- et al.
- 2020
- MRS Fall Meeting 2020
TalkSimplifying Neural Networks via Look Up Tables and Product of Sums Matrix Factorizations
- 2020
- ISCAS 2020
Talk