×
2018/04/09 · We provide a perspective of the energy requirements of such an application and design an energy-efficient and data-sensitive MTJ-based SNG.
We discuss its benefits when used for stochastic computations, illustrating with the help of a multiplier circuit, in terms of energy savings when compared to ...
, T = 300K. Data Driven Optimizations for MTJ based Stochastic Computing. Ankit Mondal and Ankur Srivastava. Department of Electrical and Computer Engineering ...
We discuss its benefits when used for stochastic computations, illustrating with the help of a multiplier circuit, in terms of energy savings when compared to ...
Data Driven Optimizations for MTJ based Stochastic Computing · Ankit Mondal, Ankur Srivastava · Published in arXiv.org 9 April 2018 · Computer Science, Engineering.
Power Optimizations in MTJ-based Neural Networks through Stochastic Computing. A Mondal, A Srivastava. Proceedings of the International Symposium on Low Power ...
The objective of the symposium is to provide a good opportunity to present latest topics related to brain computer and brain functions, and to discuss key ...
Srivastava, “Data driven optimizations for MTJ based stochastic computing,” CoRR, vol. abs/1804.03228, 2018. [16] M. W. Daniels, A. Madhavan, P. Talatchian ...
Power optimizations in MTJ-based neural networks through stochastic computing. In Proceedings of the IEEE/ACM International Symposium on Low Power ...
2017 ISLPED: Power optimizations in MTJ-based Neural Networks through Stochastic Computing. ... 2018 ISVLSI: Towards Budget-Driven Hardware Optimization ...