activity
20142025
most citedGPU accelerated Nature Inspired Methods for Modelling Large Scale Bi-Directional Pedestrian Movement

3 citations · 5 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CR2025★ 1 cited

NVBleed: Covert and Side-Channel Attacks on NVIDIA Multi-GPU Interconnect

Yicheng Zhang, Ravan Nazaraliyev, Sankha Baran Dutta +3

Multi-GPU systems are becoming increasingly important in highperformance computing (HPC) and cloud infrastructure, providing acceleration for data-intensive applications, including…

cs.CR2024

Beyond the Bridge: Contention-Based Covert and Side Channel Attacks on Multi-GPU Interconnect

Yicheng Zhang, Ravan Nazaraliyev, Sankha Baran Dutta +3

High-speed interconnects, such as NVLink, are integral to modern multi-GPU systems, acting as a vital link between CPUs and GPUs. This study highlights the vulnerability of multi-G…

cs.CR2022★ 1 cited

Spy in the GPU-box: Covert and Side Channel Attacks on Multi-GPU Systems

Sankha Baran Dutta, Hoda Naghibijouybari, Arjun Gupta +3

The deep learning revolution has been enabled in large part by GPUs, and more recently accelerators, which make it possible to carry out computationally demanding training and infe…

cs.CR2020

Leaky Buddies: Cross-Component Covert Channels on Integrated CPU-GPU Systems

Sankha Baran Dutta, Hoda Naghibijouybari, Nael Abu-Ghazaleh +2

Graphics Processing Units (GPUs) are a ubiquitous component across the range of today's computing platforms, from phones and tablets, through personal computers, to high-end server…

cs.DC2014★ 3 cited

GPU accelerated Nature Inspired Methods for Modelling Large Scale Bi-Directional Pedestrian Movement

Sankha Baran Dutta, Robert McLeod, Marcia Friesen

Pedestrian movement, although ubiquitous and well-studied, is still not that well understood due to the complicating nature of the embedded social dynamics. Interest among research…