Publications

60 results for Vijayalakshmi Srinivasan

ScaleCom: Scalable Sparsified Gradient Compression for Communication-Efficient Distributed Training
- - Chia-Yu Chen
  - Jiamin Ni
  - 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
A Compiler for Deep Neural Network Accelerators to Generate Optimized Code for a Wide Range of Data Parameters from a Hand-crafted Computation Kernel
- - Eri Ogawa
  - Kazuaki Ishizaki
  - et al.
- 2019
- COOL CHIPS 2019
A Scalable Multi-TeraOPS Core for AI Training and Inference
- - Sunil Shukla
  - Bruce Fleischer
  - et al.
- 2018
- IEEE SSC-L