36 citations · 39 across the 4 of their papers we have counts for
4 papers
AIRCHITECT v2: Learning the Hardware Accelerator Design Space through Unified Representations
Jamin Seo, Akshat Ramachandran, Yu-Chuan Chuang +2
Design space exploration (DSE) plays a crucial role in enabling custom hardware architectures, particularly for emerging applications like AI, where optimized and specialized desig…
Leveraging ASIC AI Chips for Homomorphic Encryption
Jianming Tong, Tianhao Huang, Jingtian Dang +9
Homomorphic Encryption (HE) provides strong data privacy for cloud services but at the cost of prohibitive computational overhead. While GPUs have emerged as a practical platform f…
FEATHER: A Reconfigurable Accelerator with Data Reordering Support for Low-Cost On-Chip Dataflow Switching
Jianming Tong, Anirudh Itagi, Prasanth Chatarasi +1
The inference of ML models composed of diverse structures, types, and sizes boils down to the execution of different dataflows (i.e. different tiling, ordering, parallelism, and sh…
Medicine Strip Identification using 2-D Cepstral Feature Extraction and Multiclass Classification Methods
Anirudh Itagi, Ritam Sil, Saurav Mohapatra +4
Misclassification of medicine is perilous to the health of a patient, more so if the said patient is visually impaired or simply did not recognize the color, shape or type of medic…