Tag: simulation
GPGPU Cloth simulation using GLSL, OpenCL and CUDA
Visual comparison of the computing performance between three different GPGPU platforms. It is interesting to see a difference in speed between CUDA and OpenCL on NVIDIA cards.
A Framework for Automated Performance Tuning and Code Verification on GPU Computing Platforms
We are exploring a code compilation framework that automatically generates and tunes numerical solver codes for optimal performance on graphical processing units
Real-time OpenCL GPU 110K Rigid Bodies Simulation on Radeon 7970
This is work-in-progress GPU rigid body pipeline. The simulation runs between 15 and 30 FPS on a AMD 7970 GPU.
Efficient shallow water simulations on GPUs: Implementation, visualization, verification, and validation
In this paper, we present an efficient implementation of a state-of-the-art high-resolution explicit scheme for the shallow water equations on graphics processing units.
A GPU-Enabled, High-Resolution Cosmological Microlensing Parameter Survey
In this paper, we have described how a such a parameter space survey could be achieved using a modern GPU-based supercomputing facility, and our experiences with the GPU-D code.
GPU Accelerating for Rapid Multi-core Cache Simulation
This paper presents a real time multi-core cache simulator, which was built based on the Pin tool to get the memory reference, and fast method for multi-core cache simulation using the CUDA-enabled GPU
Petaflop biofluidics simulations on a two million-core system
The present work represents a major progress in the predictive capabilities of computer simulations for real-life biofluidic research, with special, yet not exclusive, focus on cardiovascular clinical practice. The scientific and societal impact of the extensions of such activity cannot be overestimated.
Simulation of large and dense crowds on the GPU using OpenCL
This work presents the simulation of dense crowds of more than a million agents on the GPU. The freely available implementation is based on the OpenCL framework and runs primarily on the GPU without any significant participation of the CPU. The system is based on the continuum theory of flow fields.
A framework for GPU accelerated deformable object modeling
We have developed a framework that uses multicore CPUs and GPUs found on personal computers to accelerate the computations needed for a class of deformable object modeling algorithms.
Accelerating the simulation of brain tumor proliferation with many-core GPUs
In the paper, we present a numerical method for the simulation of brain tumors proliferation and we demonstrate the acceleration of this method in the context of a state of the art many-core GPU.
