DyVEDeep: Dynamic Variable Effort Deep Neural Networks
- Sanjay Ganapathy
- Swagath Venkataramani
- et al.
- 2020
- ACM TECS
Swagath Venkataramani
Title
Principal Research Scientist, AIU Architecture and Compilers
Publications
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
Dynamic Spike Bundling for Energy-Efficient Spiking Neural Networks
- Sarada Krithivasan
- Sanchari Sen
- et al.
- 2019
- ISLPED 2019
BiScaled-DNN: Quantizing long-tailed datastructures with two scale factors for deep neural networks
- Shubham Jain
- Swagath Venkataramani
- et al.
- 2019
- DAC 2019
SparCE: Sparsity Aware General-Purpose Core Extensions to Accelerate Deep Neural Networks
- Sanchari Sen
- Shubham Jain
- et al.
- 2019
- IEEE TC
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
Data Subsetting: A Data-Centric Approach to Approximate Computing
- Younghoon Kim
- Swagath Venkataramani
- et al.
- 2019
- DATE 2019
Patents
Top collaborators
AM
Alberto Mannari
Software Developer
XC
Xiaodong Cui
Principal Research Scientist
KE
Kaoutar El Maghraoui
Principal Research Scientist and Manager, AIU Spyre Model Enablement, AI Hardware Center