no code implementations • 24 Apr 2024 • Sahil Hassan, Michael Inouye, Miguel C. Gonzalez, Ilkin Aliyev, Joshua Mack, Maisha Hafiz, Ali Akoglu
RANC has been utilized by the community with its flexible and highly parameterized design to study implementation bottlenecks, tune architectural parameters or modify neuron behavior based on application insights and study the trade space on hardware performance and network accuracy.
no code implementations • 6 Jun 2023 • Sahil Hassan, Parker Dattilo, Ali Akoglu
The Internet of Things infrastructure connects a massive number of edge devices with an increasing demand for intelligent sensing and inferencing capability.
no code implementations • 1 Nov 2020 • Joshua Mack, Ruben Purdy, Kris Rockowitz, Michael Inouye, Edward Richter, Spencer Valancius, Nirmal Kumbhare, Md Sahil Hassan, Kaitlin Fair, John Mixter, Ali Akoglu
Neuromorphic architectures have been introduced as platforms for energy efficient spiking neural network execution.
no code implementations • 11 Jun 2020 • John Mixter, Ali Akoglu
Pruning is a legitimate method for reducing the size of a neural network to fit in low SWaP hardware, but the networks must be trained and pruned offline.
1 code implementation • 1 Apr 2020 • Joshua Mack, Nirmal Kumbhare, Anish NK, Umit Y. Ogras, Ali Akoglu
In this work, we propose a portable, Linux-based emulation framework to provide an ecosystem for hardware-software co-design of Domain-specific SoCs (DSSoCs) and enable their rapid evaluation during the pre-silicon design phase.
Distributed, Parallel, and Cluster Computing
