NVIDIA and Zhixixi Open Course jointly planned and launched the "GPU Accelerated High Performance Computing (HPC) Classic Application Online Seminar". The seminar will focus on classic high-performance computing and scientific computing applications, and how to better accelerate these applications on the GPU platform.
html On June 22, the second session of "GPU Accelerated High Performance Computing (HPC) Classic Applications Online Seminar" will begin.This seminar will focus on the installation and deployment of the cryo-EM three-dimensional image data processing software RELION, the open source computing software package Quantum Espresso for electronic structure calculation and nanoscale material modeling, and the HPC data visualization tool ParaView & IndeX on the GPU. and optimization acceleration methods.
Main content
High-performance computing has gradually become one of the indispensable and important means in the field of basic scientific research at the forefront of major scientific discoveries. From molecular dynamics simulations, biopharmaceuticals, material electronic structure calculations, materials simulations to life sciences, they are all inseparable from the support of high-performance computing.
The process of high-performance computing and scientific computing is often accompanied by huge amounts of data and high computing power requirements. Some application software for different fields has also been born, such as LAMMPS, GROMACS, VASP and NAMD, etc., which can help scientists work across fields. , to speed up scientific discovery. Application software such as
are specially optimized for GPU, and can use CUDA, OpenACC and GPU-accelerated mathematics libraries to improve operating efficiency. As a result, scientists can leverage GPUs to achieve faster results while significantly reducing programming effort. Practice has shown that for cutting-edge basic scientific research such as molecular dynamics, quantum chemistry, , and life sciences, the running speed of code on the GPU will be increased by 3 to 10 times.
This seminar will focus on the installation, deployment and optimization of the cryo-EM three-dimensional image data processing software RELION, the open source computing software package Quantum Espresso for electronic structure calculation and nanoscale material modeling, and the HPC data visualization tool ParaView & IndeX on the GPU. Acceleration method.
Online seminar time
June 22, Wednesday, 13:30 – 16:15
Important topics
- Using GPU to accelerate RELION for biological structure analysis
- GPU accelerates Quantum Espresso progress and applications
- GPU accelerates ParaView & IndeX to visualize volume data
Speakers
Shi Daochen
NVIDIA Solution Architect
is responsible for NVIDIA's cooperation projects and research in universities and educational research. The main research and work directions cover high-performance computing programming implementation and CUDA/OpenACC program optimization; application of high-performance computing or artificial intelligence in biology; deep learning and system applications, computer vision , video analysis, etc.
Kuang Lulin
NVIDIA Solution Architect
is responsible for the design and application research of GPU computing solutions in NVIDIA education and scientific research and other industries, including the application of GPU in high-performance computing, deep learning and data science, and CUDA/OpenACC application transplantation And performance optimization, GPU distributed parallel computing acceleration, etc.
Kuang Lei
NVIDIA solution architect
studied at Beijing University of Posts and Telecommunications and Columbia University in the United States. His main directions are robotics and artificial intelligence, high-performance visualization, etc.
How to participate
Scan the QR code above to register
If you are interested in high-performance computing (HPC), please don’t miss the last seminar in this series!
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