5 papers
ReRAM-aware Model Finetuning addressing I-V Non-linearity and Retention Errors
Ching-Yi Lin, Shamik Kundu, Arnab Raha +1
Traditional CPU, GPU, and NPU architectures are increasingly limited by the von Neumann bottleneck. While In-Memory Computing (IMC) using ReRAM crossbar arrays offers a high-densit…
An Asynchronous Delta Modulator for Spike Encoding in Event-Driven Brain-Machine Interface
Kaushik Lakshmiramanan, Vineeta Nair, Ching-Yi Lin +2
This paper presents the design and implementation of an asynchronous delta modulator as a spike encoder for event-driven neural recording in a 65nm CMOS process. The proposed neuro…
Dual-Timescale Hebbian Accumulators for Online Spiking Neural Network Decoding in Intracortical Brain Machine Interfaces
Sriram V. C. Nallani, Sahil Shah
Intracortical brain-machine interfaces require decoders that adapt continuously to neural signal instability while operating within strict memory budgets. We introduce a dual-times…
Systolic Array-based Architecture for Low-Bit Integerized Vision Transformers
Ching-Yi Lin, Sahil Shah
Transformer-based models are becoming more and more intelligent and are revolutionizing a wide range of human tasks. To support their deployment, AI labs offer inference services t…
Low-Bit Integerization of Vision Transformers using Operand Reordering for Efficient Hardware
Ching-Yi Lin, Sahil Shah
Pre-trained vision transformers have achieved remarkable performance across various visual tasks but suffer from expensive computational and memory costs. While model quantization…