Titash Rakshit

According to our database, Titash Rakshit authored at least 7 papers between 2017 and 2020.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2020

A Variation Robust Inference Engine Based on STT-MRAM with Parallel Read-Out.

Yandong Luo, Xiaochen Peng, Ryan Hatcher, Titash Rakshit, Jorge Kittl, Mark S. Rodder, Jae-Sun Seo, Shimeng Yu

Proceedings of the IEEE International Symposium on Circuits and Systems, 2020

XBAROPT - Enabling Ultra-Pipelined, Novel STT MRAM Based Processing-in-Memory DNN Accelerator.

Aqeel Anwar, Arijit Raychowdhury, Ryan Hatcher, Titash Rakshit

Proceedings of the 2nd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2020

2019

Hierarchical Memory System With STT-MRAM and SRAM to Support Transfer and Real-Time Reinforcement Learning in Autonomous Drones.

Insik Yoon, Malik Aqeel Anwar, Rajiv V. Joshi, Titash Rakshit, Arijit Raychowdhury

IEEE J. Emerg. Sel. Topics Circuits Syst., 2019

Inference engine benchmarking across technological platforms from CMOS to RRAM.

Xiaochen Peng, Minkyu Kim, Xiaoyu Sun, Shihui Yin, Titash Rakshit, Ryan M. Hatcher, Jorge A. Kittl, Jae-sun Seo, Shimeng Yu

Proceedings of the International Symposium on Memory Systems, 2019

Transfer and Online Reinforcement Learning in STT-MRAM Based Embedded Systems for Autonomous Drones.

Insik Yoon, Malik Aqeel Anwar, Titash Rakshit, Arijit Raychowdhury

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2019

2018

High-Accuracy Inference in Neuromorphic Circuits using Hardware-Aware Training.

Borna Obradovic, Titash Rakshit, Ryan Hatcher, Jorge Kittl, Mark S. Rodder

CoRR, 2018

2017

A Multi-Bit Neuromorphic Weight Cell using Ferroelectric FETs, suitable for SoC Integration.

Borna Obradovic, Titash Rakshit, Ryan Hatcher, Jorge Kittl, Rwik Sengupta, Joon Goo Hong, Mark S. Rodder

CoRR, 2017