324 citations · 711 across the 34 of their papers we have counts for
6 papers · 1 filter
FPCA: Field-Programmable Pixel Convolutional Array for Extreme-Edge Intelligence
Zihan Yin, Akhilesh Jaiswal
The rapid advancement of neural network applications necessitates hardware that not only accelerates computation but also adapts efficiently to dynamic processing requirements. Whi…
Recent Advances in Scalable Energy-Efficient and Trustworthy Spiking Neural networks: from Algorithms to Technology
Souvik Kundu, Rui-Jie Zhu, Akhilesh Jaiswal +1
Neuromorphic computing and, in particular, spiking neural networks (SNNs) have become an attractive alternative to deep neural networks for a broad range of signal processing appli…
Hardware-Algorithm Co-design Enabling Processing-in-Pixel-in-Memory (P2M) for Neuromorphic Vision Sensors
Md Abdullah-Al Kaiser, Akhilesh R. Jaiswal
The high volume of data transmission between the edge sensor and the cloud processor leads to energy and throughput bottlenecks for resource-constrained edge devices focused on com…
A 9 Transistor SRAM Featuring Array-level XOR Parallelism with Secure Data Toggling Operation
Zihan Yin, Annewsha Datta, Shwetha Vijayakumar +2
Security and energy-efficiency are critical for computing applications in general and for edge applications in particular. Digital in-Memory Computing (IMC) in SRAM cells have wide…
Augmented Memory Computing: Dynamically Augmented SRAM Storage for Data Intensive Applications
Haripriya Sheshadri, Shwetha Vijayakumar, Ajey Jacob +1
In this paper, we propose a novel memory-centric scheme based on CMOS SRAM for acceleration of data intensive applications. Our proposal aims at dynamically increasing the on-chip…
IMPULSE: A 65nm Digital Compute-in-Memory Macro with Fused Weights and Membrane Potential for Spike-based Sequential Learning Tasks
Amogh Agrawal, Mustafa Ali, Minsuk Koo +3
The inherent dynamics of the neuron membrane potential in Spiking Neural Networks (SNNs) allows processing of sequential learning tasks, avoiding the complexity of recurrent neural…