6 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…
Design Space Exploration for ReRAM-based Architectures to Address Scaling Non-idealities
Ching-Yi Lin, Sahil Shah
ReRAM-based in-memory computing (IMC) architectures are promising candidates for energy-efficient matrix-vector multiplication. While scaling the size of ReRAM arrays allows for th…
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…
Ising-ReRAM: A Low Power Ising Machine ReRAM Crossbar for NP Problems
Everest Bloomer, Irem Didin, Ching-Yi Lin +1
Computational workloads are growing exponentially, driving power consumption to unsustainable levels. Efficiently distributing large-scale networks is an NP-Complete problem equiva…
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…