Category: Video
AsiaD: Nvidia’s CEO Jen-Hsun Huang — Interview with Walt Mossberg
Nvidia president and CEO Jen-Hsun Huang joined All Things Digital’s Walt Mossberg on the AsiaD stage today to talk about processors for post-PC devices and the Tegra 2, the world’s first dual-core graphics processor.
Master’s in Scientific Computing Presentation: Real Time Particle Systems in the Blender Game Engine
Ian Johnson’s Thesis Defense for Master’s in Scientific Computing at Florida State University. He introduce and discuss the various aspects of implementing real-time fluid simulation in the Blender Game Engine using OpenCL.
Interview with Nvidia’s Steve Scott on ORNL world’s fastest supercomputer
Interview with Steve Scott, chief technology officer at Nvidia’s Tesla group, on GPU computing in the new Oak Ridge National Laboratory supercomputer.
SC11 Preview: Modeling and Tolerating Heterogeneous Failures in Large Parallel Systems
Illinois PhD student Ana Gainaru describes work she and collaborators at NCSA and INRIA will present at SC11.
Lecture: NAMD – a Molecular Dynamics on GPU Clusters
A lecture from the “Workshop on GPU Programming for Molecular Modeling” held August 6-8, 2010, at the Beckman Institute for Advanced Science and Technology, University of Illinois, in Urbana, Illinois
Lecture: Basic tutorial on CUDA memory management
CIS 565: GPU Programming and Architecture, University of Pennsylvania, Fall 2011
Lecture: A tutorial on GLSL syntax
CIS 565: GPU Programming and Architecture, University of Pennsylvania, Fall 2011
SIGGRAPH Asia 2011: GPU-efficient recursive filtering and summed-area tables
This video present a new algorithmic framework for parallel evaluation. It partitions the image into 2D blocks, with a small band of additional data buffered along each block perimeter.
SC11 Preview: Scaling NAMD to 100 Million Atoms
Eric Bohm from the Illinois Parallel Programming Laboratory discusses the challenges and solutions involved scaling the NAMD molecular dynamics application to support both extremely large systems and to run on extremely large machines.
Animation: 500 million particle simulation on GPUs
This is a relativistic particle-in-cell simulation with PIConGPU of laser particle acceleration in an underdense hydrogen plasma. We use our new tiling memory model to speed up particle in cell simulations on GPUs.
