3 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.ET2025★ 1 cited
TAXI: Traveling Salesman Problem Accelerator with X-bar-based Ising Macros Powered by SOT-MRAMs and Hierarchical Clustering
Sangmin Yoo, Amod Holla, Sourav Sanyal +5
Ising solvers with hierarchical clustering have shown promise for large-scale Traveling Salesman Problems (TSPs), in terms of latency and energy. However, most of these methods sti…
cs.AR2025
Hardware-Software Co-Design for Accelerating Transformer Inference Leveraging Compute-in-Memory
Dong Eun Kim, Tanvi Sharma, Kaushik Roy
Transformers have become the backbone of neural network architecture for most machine learning applications. Their widespread use has resulted in multiple efforts on accelerating a…
cs.ET2024★ 3 cited
WAGONN: Weight Bit Agglomeration in Crossbar Arrays for Reduced Impact of Interconnect Resistance on DNN Inference Accuracy
Jeffry Victor, Dong Eun Kim, Chunguang Wang +2
Deep neural network (DNN) accelerators employing crossbar arrays capable of in-memory computing (IMC) are highly promising for neural computing platforms. However, in deeply scaled…