3 papers
cs.AR2026
BEACON: A Versatile Accelerator for Computational Pathology Applications
Sumanth Gudaparthi, Ananth Krishna Prasad, Lin Jia +2
While accelerators for AI have seen great commercial success, it is challenging to replicate that success for other specialized domains due to a number of factors. We make the case…
cs.AR2026
Towards Enabling Distance-Based Memory Addressing
Ananth Krishna Prasad, Rajeev Balasubramonian, Mahdi Nazm Bojnordi
Approximate Nearest-Neighbor Search (ANNS) in high dimensional vector datasets is an application of significant prevalence across different AI applications. However, such an operat…
cs.LG2018
Newton: Gravitating Towards the Physical Limits of Crossbar Acceleration
Anirban Nag, Ali Shafiee, Rajeev Balasubramonian +2
Many recent works have designed accelerators for Convolutional Neural Networks (CNNs). While digital accelerators have relied on near data processing, analog accelerators have furt…