Tag: featured
NVIDIA today announced a new family of Tesla Kepler GPUs
Today NVIDIA today unveiled a new family of Tesla® GPUs based on the revolutionary NVIDIA® Kepler™ GPU computing architecture, which makes GPU-accelerated computing easier and more accessible for a broader range of high performance computing (HPC) scientific and technical applications. The new NVIDIA Tesla K10 and K20 GPUs are computing accelerators built to handle the…
Realtime Computer Vision with OpenCV
OpenCV have made it easier for application developers to use computer vision. They are well-documented and vibrant open source projects that keep growing, and they are being adapted to new computing technologies
Adaptive Subdivision Surface Reconstruction for Scattered Data in Reverse Engineering Based on GPU
In order to improve the efficiency of the algorithm, we implemented the reconstruction algorithm on GPU in parallel way and tested the program on several large scale data sets.
GPU Acceleration of Functional Neuroimaging
GPUs accelerate functional neuroimaging, by using three GPUs, 850 TB of data can be analyzed in 10 days, compared to 100 years with conventional software!
High-performance computing tools for the integrated assessment and modelling of social-ecological systems
Integrated spatio-temporal assessment and modelling of complex social–ecological systems is required to address global environmental challenges.
Smoldyn on Graphics Processing Units: Massively Parallel Brownian Dynamics Simulations
In this paper, we analyze Smoldyn, a widely diffused algorithm for stochastic simulation of chemical reactions with spatial resolution and single molecule detail, and we propose an alternative, innovative implementation that exploits the parallelism of GPU
Accelerating finite difference wavefield-continuation depth migration by GPU
We introduce a new hardware architecture, based on which the finite difference wavefield-continuation depth migration can be conducted using the GPU as a CPU coprocessor.
A Parallel Front Propagation Method: Simulating geological folds on parallel architectures
In this thesis, a novel three-dimensional anisotropic front propagation algorithm for simulation of geological folds on parallel architecture is presented. The algorithm’s abundant parallelism is demonstrated on multi-core CPUs and GPU architectures.
CUDA-MPI-FDTD implementation of Maxwell’s equations in general dispersive media
We present the first MPI-CUDA implementation of Finite-Difference Time-Domain (FDTD) discretization of Maxwell’s equations in dispersive media that uses the MPI API to assign each CPU node its share of the computational domain and GPUs to their corresponding CPU threads
Language identification using multi-core processors
We explore the application of GPUs to speech pattern processing, using language identification (LID) to demonstrate their benefits. Realization of the full potential of GPUs requires both effective coding of predetermined algorithms, and, if there is a choice, selection of the algorithm or technique for a specific function that is most able to exploit the GPU
