CUDA™ is a parallel computing platform and programming model invented by NVIDIA. It enables dramatic increases in computing performance by harnessing the power of the graphics processing unit (GPU).

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1answer
128 views

Good Finite Element Library for a small project

I'm currently working on this project and I have a basic structural analyzer that uses the finite element method. Essentially, I turn each block into a set of trusses, construct a stiffness matrix ...
17
votes
1answer
731 views

CUDA vs OpenCL as of late 2013

How do CUDA and OpenCL compare to each other as of late 2013 from a programmer's perspective? My group is thinking about trying to make use of GPU computing. Would we be limiting ourself ...
2
votes
1answer
96 views

Multiple independent random number streams

Having multiple streams of pseudo-random numbers known to be independent and with a uniform distribution I want to do Monte Carlo simulations in parallel. In other words, one thread will have a ...
6
votes
1answer
226 views

Why am I getting so much error for my Runge Kutta Fehlberg solver?

My current project is a reprogramming of a protein folding model involving the solution of thousands of ODEs in C++. I've been making some stop and start progress as I'm writing the solver to run ...
2
votes
1answer
81 views

Numerically efficient way to compute sparse-matrix arithmetic on GPU?

Can anyone tell me some very good/efficient numerial algorthims for GPU/CUDA to compute multiplication/ between sparse matrices (its good if you can recommend me some research papers)? I googled ...
1
vote
2answers
100 views

Looking for super computer technology sugestions

I'm writing some image processing software to detect bubbles in oil at work. One of the image filters I need (Perona Malik) seems like it will take a long time to compute. (It involves solving some ...
2
votes
0answers
81 views

Prediction model on GPU [closed]

I am doing a small project at school. I have done my code implementations in CUDA and did some performance measurements with real values, i.e. running the program with different number of threads, ...
8
votes
0answers
165 views

cuda and numerical methods with implicit time discretization

I am looking to port some code that resolves a set of partial differential equations (PDE) by the finite volume method in IMPLICIT form (for the time discretization). As result there is a tridiagonal ...
10
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1answer
363 views

Solving unconstrained nonlinear optimization problems on GPU

I am trying to solve some unconstrained nonlinear optimzation problems on GPU(CUDA). The objective function is a smooth nonlinear function, and its gradient is relatively cheap to compute ...
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0answers
145 views

CUDA Mandelbrot Set effective bandwidth and optimization

I was reading through this article (very good article and excellent blog BTW) to do some measurements in my (very simple) implementation of the Mandelbrot Set. I'm using a Quadro 2000D card which has ...
2
votes
0answers
222 views

Cusp Library performance worse than PETSC (GMRES 200 iterations) Why?

I wanted to compare the speeds of the GMRES implementations in the CUSP and the PETSc libraries. The matrix (A) used for testing was a 3d Laplacian matrix obtained by using the 7 point stencil on a ...