activity
20172022
most citedParallelizing Maximal Clique Enumeration on GPUs

14 citations · 37 across the 10 of their papers we have counts for

collaborators

10 papers

cs.DC2022★ 14 cited

Parallelizing Maximal Clique Enumeration on GPUs

Mohammad Almasri, Yen-Hsiang Chang, Izzat El Hajj +3

We present a GPU solution for exact maximal clique enumeration (MCE) that performs a search tree traversal following the Bron-Kerbosch algorithm. Prior works on parallelizing MCE o…

cs.SI2022

Limited-Trust in Diffusion of Competing Alternatives over Social Networks

Vincent Leon, S. Rasoul Etesami, Rakesh Nagi

We consider the diffusion of two alternatives in social networks using a game-theoretic approach. Each individual plays a coordination game with its neighbors repeatedly and decide…

cs.DC2021★ 1 cited

Parallel K-Clique Counting on GPUs

Mohammad Almasri, Izzat El Hajj, Rakesh Nagi +2

Counting k-cliques in a graph is an important problem in graph analysis with many applications such as community detection and graph partitioning. Counting k-cliques is typically d…

cs.GT2021★ 1 cited

Limited-Trust in Social Network Games

Timothy Murray, Jugal Garg, Rakesh Nagi

We consider agents in a social network competing to be selected as partners in collaborative, mutually beneficial activities. We study this through a model in which an agent i can…

cs.GT2020★ 7 cited

Risk-Averse Equilibrium for Autonomous Vehicles in Stochastic Congestion Games

Ali Yekkehkhany, Rakesh Nagi

The fast-growing market of autonomous vehicles, unmanned aerial vehicles, and fleets in general necessitates the design of smart and automatic navigation systems considering the st…

cs.DC2020

At-Scale Sparse Deep Neural Network Inference with Efficient GPU Implementation

Mert Hidayetoglu, Carl Pearson, Vikram Sharma Mailthody +4

This paper presents GPU performance optimization and scaling results for inference models of the Sparse Deep Neural Network Challenge 2020. Demands for network quality have increas…