ScaleCom: Scalable Sparsified Gradient Compression for Communication-Efficient Distributed Training
- Chia-Yu Chen
- Jiamin Ni
- et al.
- 2020
- NeurIPS 2020
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56 results for Kailash Gopalakrishnan
FracTrain: Fractionally Squeezing Bit Savings Both Temporally and Spatially for Efficient DNN Training
- Yonggan Fu
- Haoran You
- et al.
- 2020
- NeurIPS 2020
Efficient AI System Design with Cross-Layer Approximate Computing
- Swagath Venkataramani
- Xiao Sun
- et al.
- 2020
- Proceedings of the IEEE
A 3.0 TFLOPS 0.62V Scalable Processor Core for High Compute Utilization AI Training and Inference
- Jinwook Oh
- Sae Kyu Lee
- et al.
- 2020
- VLSI Circuits 2020
Hybrid 8-bit floating point (HFP8) training and inference for deep neural networks
- Xiao Sun
- Jungwook Choi
- et al.
- 2019
- NeurIPS 2019
Memory and Interconnect Optimizations for Peta-Scale Deep Learning Systems
- Swagath Venkataramani
- Vijayalakshmi Srinivasan
- et al.
- 2019
- HiPC 2019
Performance-driven Programming of Multi-TFLOP Deep Learning Accelerators∗
- Swagath Venkataramani
- Jungwook Choi
- et al.
- 2019
- IISWC 2019
DeepTools: Compiler and Execution Runtime Extensions for RaPiD AI Accelerator
- Swagath Venkataramani
- Jungwook Choi
- et al.
- 2019
- IEEE Micro
BiScaled-DNN: Quantizing long-tailed datastructures with two scale factors for deep neural networks
- Shubham Jain
- Swagath Venkataramani
- et al.
- 2019
- DAC 2019
DLFloat: A 16-b Floating Point Format Designed for Deep Learning Training and Inference
- Ankur Agrawal
- Bruce Fleischer
- et al.
- 2019
- ARITH 2019