Tag: CUDA
High-Precision Numerical Simulations on a CUDA GPU: Kerr Black Hole Tails
In this paper, we describe such an application in the research area of black hole physics: studying the late-time behavior of decaying fields in Kerr black hole space-time
OpenMM 5 Now Available
The OpenMM software package enables molecular dynamics (MD) simulations to be accelerated on high performance computer architectures, such as GPUs.
PARALUTION: a library for sparse iterative methods
PARALUTION is a library for sparse iterative methods with special focus on multi-core and accelerator technology such as GPUs. The software provides fine-grained parallel preconditioners which can utilize the modern multi-/many-core devices.
GPU in Physics Computation: Case Geant4 Navigation
The goal was to find out whether Geant4 physics simulations could benefit from GPU acceleration and how difficult it is to modify Geant4 code to run in a GPU
Largest known prime number (17M digits long) is discovered
The new prime number, 2 multiplied by itself 57,885,161 times, less one (2^57,885,161-1), has 17,425,170 digits. With 360,000 CPUs peaking at 150 trillion calculations per second, 17th-year GIMPS is the longest continuously-running global supercomputing project in Internet history.
Genetic Algorithm Modeling with GPU Parallel Computing Technology
We present a multi-purpose genetic algorithm, designed and implemented with GPGPU / CUDA parallel computing technology. The model was derived from a multi-core CPU serial implementation, named GAME, already scientifically successfully tested and validated on astrophysical massive data classification problems, through a web application resource (DAMEWARE), specialized in data mining based on Machine Learning paradigms.…
Implementation of a High Performance GPGPU Compiler
In this paper we present our experience in developing an optimizing compiler for general purpose computation on graphics processing units (GPGPU) based on the Cetus compiler framework.
Webinar: CUDA 5 Math Library Performance Overview
Jonathan Cohen and the NVIDIA CUDA Library Team present the latest benchmark results using the extensive numerical libraries included with CUDA 5. This webinar will cover all the data points and the significance of the new Math Library Performance Report
Parallelization of Dynamic Programming in Nussinov RNA Folding Algorithm on the CUDA GPU
In this work, the Nussinov algorithm is analyzed but from the CUDA GPU programming perspective. The algorithm is radically redesigned in order to utilize the highly parallel NUMA architecture of the GPU.
Alea.CUDA Framework and Development Process
Alea.CUDA is a dynamic GPU code generation framework, which programmatically generates GPU code with the full flexibility of CUDA.
