BiScaled-DNN: Quantizing long-tailed datastructures with two scale factors for deep neural networks
- Shubham Jain
- Swagath Venkataramani
- et al.
- 2019
- DAC 2019
Conference paper
Publications
43 results for Swagath Venkataramani
SparCE: Sparsity Aware General-Purpose Core Extensions to Accelerate Deep Neural Networks
- Sanchari Sen
- Shubham Jain
- et al.
- 2019
- IEEE TC
PaperA 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
Conference paperData Subsetting: A Data-Centric Approach to Approximate Computing
- Younghoon Kim
- Swagath Venkataramani
- et al.
- 2019
- DATE 2019
Conference paperA Scalable Multi-TeraOPS Core for AI Training and Inference
- Sunil Shukla
- Bruce Fleischer
- et al.
- 2018
- IEEE SSC-L
PaperA Scalable Multi-TeraOPS Deep Learning Processor Core for AI Trainina and Inference
- Bruce Fleischer
- Sunil Shukla
- et al.
- 2018
- VLSI Circuits 2018
Conference paperDyHard-DNN: Even more DNN acceleration with dynamic hardware reconfiguration
- Mateja Putic
- Alper Buyuktosunoglu
- et al.
- 2018
- DAC 2018
Conference paperCompensated-DNN: Energy efficient low-precision deep neural networks by compensating quantization errors
- Shubham Jain
- Swagath Venkataramani
- et al.
- 2018
- DAC 2018
Conference paperExploiting approximate computing for deep learning acceleration
- Chia-Yu Chen
- Jungwook Choi
- et al.
- 2018
- DATE 2018
Conference paperVery low voltage (VLV) design
- Ramon Bertran
- Pradip Bose
- et al.
- 2017
- ICCD 2017
Conference paper