Performance-driven Programming of Multi-TFLOP Deep Learning Accelerators∗
- Swagath Venkataramani
- Jungwook Choi
- et al.
- 2019
- IISWC 2019
Swagath Venkataramani
Title
Principal Research Scientist, AIU Architecture and Compilers
Publications
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
A Scalable Multi-TeraOPS Core for AI Training and Inference
- Sunil Shukla
- Bruce Fleischer
- et al.
- 2018
- IEEE SSC-L
A Scalable Multi-TeraOPS Deep Learning Processor Core for AI Trainina and Inference
- Bruce Fleischer
- Sunil Shukla
- et al.
- 2018
- VLSI Circuits 2018
DyHard-DNN: Even more DNN acceleration with dynamic hardware reconfiguration
- Mateja Putic
- Alper Buyuktosunoglu
- et al.
- 2018
- DAC 2018
Patents
- US
- 12141513
- GB
- 2604060
- US
- 12094525
- US
- 12056594
- CN
- ZL201980032566.3
- JP
- 7497946
- TW
- I840790
- JP
- 7477249
- US
- 11941111
- US
- 11831467
Top collaborators
XC
Xiaodong Cui
Principal Research Scientist
AM
Alberto Mannari
Software Developer
JJ
Jinwook Jung
Research Staff Member
MO
Mori Ohara
Deputy Director, IBM Research Tokyo, Distinguished Engineer, Chief SW Engineer for Hybrid Cloud on IBM HW