14 citations · 15 across the 4 of their papers we have counts for
4 papers
Exploring Parallelism in FPGA-Based Accelerators for Machine Learning Applications
Sed Centeno, Christopher Sprague, Arnab A Purkayastha +2
Speculative backpropagation has emerged as a promising technique to accelerate the training of neural networks by overlapping the forward and backward passes. Leveraging speculativ…
SecureTrack- A contact tracing IoT platform for monitoring infectious diseases
Shobhit Aggarwal, Arnab Purkayastha
The COVID-19 pandemic has highlighted the need for innovative solutions to monitor and control the spread of infectious diseases. With the potential for future pandemics and the ri…
A Survey of Graph-based Deep Learning for Anomaly Detection in Distributed Systems
Armin Danesh Pazho, Ghazal Alinezhad Noghre, Arnab A Purkayastha +3
Anomaly detection is a crucial task in complex distributed systems. A thorough understanding of the requirements and challenges of anomaly detection is pivotal to the security of s…
Periodically refreshed quantum thermal machines
Archak Purkayastha, Giacomo Guarnieri, Steve Campbell +2
We introduce unique class of cyclic quantum thermal machines (QTMs) which can maximize their performance at the finite value of cycle duration where they are most irreversible.…