65 citations · 98 across the 14 of their papers we have counts for
14 papers
Leveraging Residue Number System for Designing High-Precision Analog Deep Neural Network Accelerators
Cansu Demirkiran, Rashmi Agrawal, Vijay Janapa Reddi +2
Achieving high accuracy, while maintaining good energy efficiency, in analog DNN accelerators is challenging as high-precision data converters are expensive. In this paper, we over…
RISE: RISC-V SoC for En/decryption Acceleration on the Edge for Homomorphic Encryption
Zahra Azad, Guowei Yang, Rashmi Agrawal +3
Today edge devices commonly connect to the cloud to use its storage and compute capabilities. This leads to security and privacy concerns about user data. Homomorphic Encryption (H…
ProcessorFuzz: Guiding Processor Fuzzing using Control and Status Registers
Sadullah Canakci, Chathura Rajapaksha, Anoop Mysore Nataraja +4
As the complexity of modern processors has increased over the years, developing effective verification strategies to identify bugs prior to manufacturing has become critical. Undis…
FAB: An FPGA-based Accelerator for Bootstrappable Fully Homomorphic Encryption
Rashmi Agrawal, Leo de Castro, Guowei Yang +5
FHE offers protection to private data on third-party cloud servers by allowing computations on the data in encrypted form. However, to support general-purpose encrypted computation…
Puppeteer: A Random Forest-based Manager for Hardware Prefetchers across the Memory Hierarchy
Furkan Eris, Marcia S. Louis, Kubra Eris +2
Over the years, processor throughput has steadily increased. However, the memory throughput has not increased at the same rate, which has led to the memory wall problem in turn inc…
An Electro-Photonic System for Accelerating Deep Neural Networks
Cansu Demirkiran, Furkan Eris, Gongyu Wang +7
The number of parameters in deep neural networks (DNNs) is scaling at about 5 the rate of Moore's Law. To sustain this growth, photonic computing is a promising avenue, as…