Bridges-2 Webinar Series
2024 Webinars
A Hands-On Introduction to Quantum Computing with NVIDIA’s CUDA Quantum
Date: April 19, 2024, 1-2pm ET
Dr. Pooja Rao, NVIDIA
Quantum computing leverages the quantum aspects of the physical world to introduce novel methods of information processing. These methods can be combined with classical high-performance computing to build scalable and performant applications. In this hands-on workshop, we will explore the fundamentals of quantum computing and apply them to construct quantum applications. As future workloads are anticipated to be mostly hybrid, the workshop will also introduce tools for interfacing quantum and classical components through a commonly used machine learning workflow. For this workshop, we will use Bridges-2 to demonstrate the Python API of NVIDIA’s CUDA Quantum, an open-source hybrid platform that integrates CPU, GPU, and QPU (quantum processing unit) computing while abstracting away the complexity of this integration from the user.
About the presenter: Dr. Pooja Rao is a Senior Quantum Application Engineer at NVIDIA, specializing in the intersection of quantum and high-performance computing. Her primary interests lie in quantum-assisted machine learning and leveraging quantum computing for fluid applications. During her doctoral and postdoctoral research, she focused on developing numerical methods and computational algorithms to simulate fluid flow across diverse scales and in various contexts. Her work ranged from turbulence modeling of fluid instabilities encountered in inertial confinement fusion to simulating fluid-particle transfer phenomena in multi-scale aerospace applications.
2023 Webinars
Parallel Physics-informed Neural Networks via Domain Decomposition
Date: January 25, 2023, 1 pm – 2 pm Eastern time
During this webinar, a team from Brown University presented a parallel algorithm for conservative PINNs and extended PINNs constructed with a hybrid programming model described by MPI + X, where X ∈{CPUs ,GPUs}.
Multi-GPU MuST
Date: April 19, 2023, 1 pm – 2 pm Eastern time
The MuST package is computational software designed for ab-initio electronic structure calculations for solids. This webinar will describe how to accelerate electronic structure calculations using MuST on multiple GPUs on Bridges-2.
GROMACS on Bridges-2: Optimizing Job Scripts for Performance and Efficiency
Date: June 9, 2 pm – 3 pm Eastern time
This webinar will discuss the run-time options that can affect the performance of a GROMACS job on Bridges-2.
Data-driven computational pipelines
Date: June 26, 2023, 2 pm – 3 pm Eastern time
This webinar reviews frameworks which can empower researchers to build robust and scalable data-driven computational pipelines on Bridges-2.
Utilizing Bridges-2 for Deep Learning Distributed Training
Date: September 26, 2023, 1 pm – 2 pm Eastern time
We will show how to deploy multi-GPU training for deep learning applications, such as with Pytorch and Tensorflow frameworks, using Bridges-2. Topics include how to modify code to run training on a single node or multiple nodes, how to set up an environment, how to run jobs in either interactive or batch mode or with a Jupyter notebook, and factors that affect performance.
Parallel Physics-informed Neural Networks via Domain Decomposition
Date: January 25, 2023, 1 pm – 2 pm Eastern time
During this webinar, a team from Brown University presented a parallel algorithm for conservative PINNs and extended PINNs constructed with a hybrid programming model described by MPI + X, where X ∈{CPUs ,GPUs}.
Multi-GPU MuST
Date: April 19, 2023, 1 pm – 2 pm Eastern time
The MuST package is computational software designed for ab-initio electronic structure calculations for solids. This webinar will describe how to accelerate electronic structure calculations using MuST on multiple GPUs on Bridges-2.
GROMACS on Bridges-2: Optimizing Job Scripts for Performance and Efficiency
Date: June 9, 2 pm – 3 pm Eastern time
This webinar will discuss the run-time options that can affect the performance of a GROMACS job on Bridges-2.
Data-driven computational pipelines
Date: June 26, 2023, 2 pm – 3 pm Eastern time
This webinar reviews frameworks which can empower researchers to build robust and scalable data-driven computational pipelines on Bridges-2.
Utilizing Bridges-2 for Deep Learning Distributed Training
Date: September 26, 2023, 1 pm – 2 pm Eastern time
We will show how to deploy multi-GPU training for deep learning applications, such as with Pytorch and Tensorflow frameworks, using Bridges-2. Topics include how to modify code to run training on a single node or multiple nodes, how to set up an environment, how to run jobs in either interactive or batch mode or with a Jupyter notebook, and factors that affect performance.