Tag: parallel computing
Fast Parallel Markov Clustering in Bioinformatics Using Massively Parallel Computing on GPU with CUDA and ELLPACK-R Sparse Format
Thus, large-scale parallel computation on off-the-shelf desktop-machines, that were previously only possible on supercomputing architectures, can significantly change the way bioinformaticians and biologists deal with their data
GPU implementations of a relaxation scheme for image partitioning: GLSL versus CUDA
We compare the performance of the implementations, discuss the implementation details, and show that suitability of this algorithm for GPU allows it to become a comparable alternative to the modern partitioning algorithm.
CudaHull: Fast parallel 3D convex hull on the GPU
We have presented a 3D convex-hull-construction algorithm using the CUDA programming model. It is similar to Quick Hull, in that it starts with an initial polyhedron constructed using four extreme points, discards internal points, and redistributes the remaining points among the faces.
Parallel computing in experimental mechanics and optical measurement.
The main principles of parallel computing at an application level are introduced; the hardware platforms that support parallel computing are compared; the applications of parallel computing in experimental mechanics and optical measurement.
Parallelization of the finite-difference time-domain method for room acoustics modelling based on CUDA
We present a detailed study between different approaches to the parallelization of the FDTD method applied to room acoustics modelling, and we describe several optimization guidelines to improve the computation speed when using single precision and double precision floating point model data
TACC-Intel Highly Parallel Computing Symposium in Austin
The TACC-Intel Highly Parallel Computing Symposium will take place on April 10th and 11th 2012 at the Texas Advanced Computing Center (TACC) in Austin, TX.
9th Workshop on Practical Aspects of High-Level Parallel Programming (PAPP 2012)
The PAPP workshop focuses on practical aspects of high-level parallel programming: design, implementation and optimisation of high-level programming languages, semantics of parallel languages, formal verification, design or certification of libraries, middle-wares and tools
ICCS 2012 Empowering Science through Computing
aims to bring together annually researchers and scientists from mathematics and computer science as basic computing disciplines, researchers from various application areas who are pioneering advanced application of computational methods to sciences such as physics, chemistry, life sciences, and engineering
PRACE Winter School 2012: Hybrid Programming on Massively-Parallel Architectures
The school will be focused on hybrid programming for the best exploitation of massively parallel architectures. The facility available at CINECA for exercises is called PLX and is the largest public GPU cluster in Europe.
Implementing molecular dynamics on hybrid high performance computers
The use of accelerators such as graphics processing units (GPUs) has become popular in scientific computing applications due to their low cost, impressive floating-point capabilities, high memory bandwidth, and low electrical power requirements. Hybrid high-performance computers, machines with nodes containing more than one type of floating-point processor (e.g. CPU and GPU), are now becoming more…
