Srikanth Yoginath

Latest

• COVID-relevant Scalable Computational Research Directions and Tools
• A Digital Twin Framework for Testing, Evaluation and Deployment of Resilient Cyber-physical Systems
• Energy Conservation Through Cloned Execution Of Simulations
• On the Effectiveness of Recurrent Neural Networks for Live Modeling of Cyber-Physical Systems
• Detecting Sensors and Inferring their Relations at Level-0 in Industrial Cyber-Physical Systems
• Towards Native Execution of Deep Learning on a Leadership-Class HPC System
• Efficient reversible uniform and non-uniform random number generation in UNU.RAN
• Scalable Cloning on Large-Scale GPU Platforms with Application to Time-Stepped Simulations on Grids
• Performance of Point and Range Queries for In-memory Databases Using Radix Trees on GPUs
• Model-based Dynamic Control of Speculative Forays in Parallel Computation
• Model-based Dynamic Control of Speculative Forays in Parallel Computation
• Efficient Parallel Discrete Event Simulation on Cloud/Virtual Machine Platforms
• Virtual Time-Aware Virtual Machine Systems
• Design of A High-Fidelity Testing Framework for Secure Electric Grid Control
• Towards Reversible Basic Linear Algebra Subprograms: A Performance Study
• Virtual Machine-Based Simulation Platform For MANET-Based Cyber Infrastructure
• Empirical Evaluation of PDES Execution on Cloud and Virtual Machine Platforms
• Optimized Hypervisor Scheduler for Parallel Discrete Event Simulations on Virtual Machine Platforms
• Runtime Performance And Virtual Network Control Alternatives In VM-Based High-Fidelity Network Simulations
• Taming Wild Horses: The Need for Virtual Time-based Scheduling of VMs in Network Simulations
• Towards Highly Interactive, GPU-based Evaluation of Evacuation Transport Scenarios at State-Scale
• Efficiently Scheduling Multi-core Guest Virtual Machines on Multi-core Hosts in Network Simulation
• Towards High Performance Discrete Event Simulations of Smart Electric Grids
• An Incremental Parallelization Approach Applied to the ORNL/NRC FAVOR Code
• Towards Highly Interactive, GPU-based Evaluation of Evacuation Transport Scenarios at State-Scale
• GPU-based Real-Time Execution of Vehicular Mobility Models in Large-Scale Road Network Scenarios
• Reversible Discrete Event Formulation and Optimistic Parallel Execution of Vehicular Traffic Models
• Parallel Vehicular Traffic Simulations using Reverse Computation-based Optimistic Execution