Bio
I'm Surya Narayanan, 5th year Ph.D. candidate at the University of Utah, advised by Prof. Rajeev Balasubramonian. My research interests include computer architecture, neuromorphic architectures, application specific architecture design, and neural networks. My research primarily lies at the intersection of computer architecture and machine learning.
Email: surya@cs.utah.edu
Publications
- SpinalFlow: An Architecture and Dataflow Tailored for Spiking Neural Networks, Surya Narayanan, Karl Taht, Rajeev Balasubramonian, Edouard Giacomin, Pierre-Emmanuel Gaillardon, ISCA 2020
- Wire-Aware Architecture and Dataflow for CNN Accelerators, Sumanth Gudaparthi, Surya Narayanan, Rajeev Balasubramonian, Edouard Giacomin, Hari Kambalasubramanyam, Pierre-Emmanuel Gaillardon, MICRO 2019 [pdf]
- Moving CNN Accelerator Computations Closer to Data, Sumanth Gudaparthi, Surya Narayanan, Rajeev Balasubramonian, EMC2 workshop held in conjunction with ASPLOS 2018 [pdf]
- Case for Dynamic Activation Quantization in CNNs, Karl Taht, Surya Narayanan, Rajeev Balasubramonian, EMC2 workshop held in conjunction with ASPLOS 2018 [pdf]
- INXS: Bridging the Throughput and Energy GAP for Spiking Neural Networks, Surya Narayanan, Ali Shafiee, Rajeev Balasubramonian, IJCNN 2017 [pdf]