Vasanthakumar Rajagopal

According to our database, Vasanthakumar Rajagopal authored at least 5 papers between 2017 and 2019.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2019

Low Complex & High Accuracy Computation Approximations to Enable On-Device RNN Applications.

Sirish Kumar Pasupuleti, Raj Narayana Gadde, Vasanthakumar Rajagopal, Ashok Vishnoi, N. Chandra Sekhar, R. Chandra Kumar, Narasinga Rao Miniskar

Proceedings of the IEEE International Symposium on Circuits and Systems, 2019

2018

Optimal SDRAM Buffer Allocator for Efficient Reuse of Layer IO in CNNs Inference Framework.

Narasinga Rao Miniskar, Sirish Kumar Pasupuleti, Vasanthakumar Rajagopal, Ashok Vishnoi, Chandra Kumar Ramasamy, Raj Narayana Gadde

Proceedings of the IEEE International Symposium on Circuits and Systems, 2018

Accurate and Efficient Fixed Point Inference for Deep Neural Networks.

Vasanthakumar Rajagopal, Chandra Kumar Ramasamy, Ashok Vishnoi, Raj Narayana Gadde, Narasinga Rao Miniskar, Sirish Kumar Pasupuleti

Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

An Intelligent Bandwidth Manager for CNN Applications on Embedded Devices.

Sirish Kumar Pasupuleti, Aishwarya Rajaram, Narasinga Rao Miniskar, Raj Narayana Gadde, Deepanshu Yadvandu, Vasanthakumar Rajagopal, Ashok Vishnoi, Chandra Kumar Ramasamy

Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

2017

A novel method to regenerate an optimal CNN by exploiting redundancy patterns in the network.

Sirish Kumar Pasupuleti, Narasinga Rao Miniskar, Vasanthakumar Rajagopal, Raj Narayana Gadde

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017