activity
20172020
most citedRisk-Averse Equilibrium for Games

8 citations · 17 across the 4 of their papers we have counts for

collaborators

5 papers

cs.GT20207 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…

cs.GT20208 cited

Risk-Averse Equilibrium for Games

Ali Yekkehkhany, Timothy Murray, Rakesh Nagi

The term rational has become synonymous with maximizing expected payoff in the definition of the best response in Nash setting. In this work, we consider stochastic games in which…

cs.PF2019

Blind GB-PANDAS: A Blind Throughput-Optimal Load Balancing Algorithm for Affinity Scheduling

Ali Yekkehkhany, Rakesh Nagi

Dynamic affinity load balancing of multi-type tasks on multi-skilled servers, when the service rate of each task type on each of the servers is known and can possibly be different…

cs.DC20172 cited

RLT2-based Parallel Algorithms for Solving Large Quadratic Assignment Problems on Graphics Processing Unit Clusters

Ketan Date, Rakesh Nagi

This paper discusses efficient parallel algorithms for obtaining strong lower bounds and exact solutions for large instances of the Quadratic Assignment Problem (QAP). Our parallel…