Tagged Questions

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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0answers
40 views

Any book or teaching material on computational neuroscience using hardware acceleration?

I am looking for some material (be it in the form of a book, reader notes, teaching material freely available etc.) on the topic of computational neuroscience employing hardware acceleration? I guess ...
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1answer
80 views

How can I use Scipy to fit data generated from a C++ model?

I currently have a functioning and blazing fast model written in C++ and CUDA. However, I'd like to use Scipy.minimize to fit the model to some experimental data. I was hoping it would be easy, but ...
1
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1answer
56 views

CUDA Fortran: Multi GPU Programming and memory allocation

I am writing a program that is supposed to use multiple GPUs on a single node using CUDA Fortran. Although I've looked through the Portland Group CUDA Fortran Reference, I am still unclear about how ...
4
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3answers
109 views

Machine precision and local error

I'm working with an RKF45 integrator that I have programmed using CUDA C++ on my GPU and am pondering a few questions as I'm trying to track down some issues with my code. I'm using double ...
2
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0answers
76 views

How to get proper parameters of SPH simulation?

I'm implementing basic fluid flow simulator using SPH method basing on e.g. https://www10.informatik.uni-erlangen.de/Publications/Theses/2010/Staubach_BA10.pdf. So far I've implemented: uniform ...
2
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2answers
266 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 ...
25
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1answer
8k 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
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1answer
103 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
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1answer
356 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
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1answer
92 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
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2answers
125 views

Looking for super computer technology suggestions

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
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0answers
95 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, ...
7
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0answers
252 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 ...
12
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3answers
697 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 ...
1
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0answers
170 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
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0answers
271 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 ...