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Questions tagged [gpu]

Graphical Processing Unit - a specialized, relatively inexpensive hardware unit built for fast graphical computations and highly data-parallel scientific computations.

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2answers
170 views

Lost on Matrix Inversion

I try to implement some big matrix inversion. My system configuration is Hardware:- Memory: 62.8GiB, Processor: Intel Xeon(R)CPU E5-2670 v3 @2.30GHZ*48 To implement matrix inversion I am using ...
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1answer
78 views

Use of GPU with respect to CPU

I have research work where I need to compute a matrix inversion. The matrix has a size $31300\times31300$. I am using a universal java matrix package to invert this matrix. But as the dimension of the ...
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2answers
103 views

Demo example for OpenFOAM with CUDA

I am looking for a simple usage example/demo of OpenFOAM + CUDA and would like to understand how exactly OpenFOAM benefits from CUDA. The thing is I do not have any background in fluid dynamics and so ...
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0answers
101 views

Accelerate computation speed by using a different syntax [closed]

I was reading a book about Matlab ("Accelerating Matlab with GPU computing - A Primer with Examples" by Jung Suh and Youngming Kim, 2013. Chapter 1.7 Examples). I read an example where it said that: ...
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1answer
51 views

Compare 64gb dd3 ram with 2gb Quadro M1000M gpu on Lenovo P50

I frequently work with Keras and tensorflow-gpu on my Lenovo P50 workstation which has 64GB ram and a 2GB Nvidia QUadro M1000M GPU. Today while training my model on GPU, it ran into memory error and ...
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1answer
86 views

Can I convert CUDA core to CPU core and use it as cpu core while running any program?

I was using Metatrader5 and have designed a strategy for trading using MQL5 programming language. While I was running a Strategy Optimization process, I saw the it will need 10,00= iterations or ...
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1answer
115 views

Why is FLOP(Floating Point Operations Per Second) mentioned as a specification on every GPU?

Counting FLOP may not be representative of the actual algorithm real world performance but still all the GPU manufacturers mention FLOPS as a metric of Performance on GPU. Is there any way that this ...
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0answers
437 views

Scalability of Julia language [closed]

The Julia language has caught my attention as I am a heavy MATLAB user, but would like more performance. Julia looks attractive as skipping the whole 'prototype in MATLAB then rewrite code in FORTRAN/...
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2answers
2k views

Performance of kd-tree vs brute-force nearest neighbor search on GPU?

I wonder if there is any study that compares the performance of kd-tree vs brute-force nearest neighbor search on GPU. Post #4 on this page suggests that kd-tree may not be the optimal algorithm for ...
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0answers
99 views

Porting from MPI to GPU

Assuming that the underlying algorithm can be ported to multi GPU, what aspects should one consider while porting from MPI (on multiple nodes) to multi GPU (again on multiple nodes)? Making use of ...
1
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1answer
84 views

Time loop for multiple GPU's

I have a loop that has a similar structure as give below: ...
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2answers
150 views

Computational Science Hardware Benchmark Database

I am looking for a website/database of computer hardware (CPUs/GPUs) benchmarked with common scientific tools, e.g. *GEMM (see comment below for more info on this tool). Currently, I am quite ...
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1answer
152 views

Hyperscale Vs Strong-scale HPC

NVIDIA's Tesla GPUs for Servers includes market segments called "Hyperscale HPC" and "Strong-Scale HPC". How different is ...
4
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2answers
178 views

HPC reading material

I am an undergraduate, and enthusiastic about HPC. I am currently familiar with the tools OpenMP, MPI, CUDA, OpenCL, thrust libraries etc. But I want to know the core functioning of these tools, I ...
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2answers
648 views

New to CFD, Lattice Boltzmann or Navier-Stokes?

I apologize if some of my questions are naive; I am very new to computer simulations and fluid-dynamics. I am going to start a PhD in early 2017, and I would like to bone-up on some Computational ...
3
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1answer
1k views

Why am I not seeing faster neural network training after upgrading to a vastly better GPU?

I was previously running my neural networks using the Lasagne library to build and train neural networks in Theano on an NVIDIA GTX 750 Ti. I'm using a genetic algorithm to tune the hyperparameters of ...
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1answer
695 views

How to decide how to parallelize nested loops on GPU

Suppose I have an algorithms which I want to implement ona GPU. The algorithm consists of a main loop, and all iterations of the loop can be run in parallel. Also, each iteration of the loop has an ...
0
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1answer
378 views

Fastest way to diagonalize square matrices with c++

I am currently writing software in c++ which solves the eigenvalue problem of sparse hermitian matrices. The size of the matrix depends on the user input, but as an estimation it will roughly be ...
0
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1answer
91 views

Matrix free finite elements method [duplicate]

I am Computer Scientist and now I am interested in matrix multiplication on GPUs. My research are focused on matrix free finite elements method where I multiply sparse matrix. Sparse matrix could ...
8
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3answers
2k views

Is there a constrained nonlinear optimization library like IPOPT that runs on GPUs?

Somebody on my team wants to paralelize IPOPT. (at least some of functions of it). I have not been able to find a GPU implementation of it or a similar package. Nor I've found anything on their docs. ...
2
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2answers
1k views

GPU vs CPU calculation

I've been working on calculating large factorials ($N>10^9$) and I was wondering if it wasn't faster to use the GPU to run the calculations on something like openCL. What I realized however was ...
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4answers
915 views

Easiest Way to Begin GPU Computing

What is the the simplest way to get started using GPU computing? My interests are primarily in neural networks and I would love to start using GPUs, but my time for learning GPU computing is very ...
4
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0answers
107 views

Computing entries of a matrix in parallel using GPU

I am trying to solve $Ax=b$ a system of linear equation. The matrix $A=(a_{ij})$ is constructed as $$a_{ij}=\int_0^1\int_0^1 K(x,y)h_i(x)h_j(y) dxdy.$$ The evaluation of integral takes a lot of time, ...
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2answers
1k views

GPU-enabled Lattice Boltzmann solvers?

Is anybody aware of any GPU-enabled Lattice Boltzmann solvers (preferably on C++/OpenCL and open-source) that would be recommended? I have found Advanced Simulation Library, but it seems to be very ...
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2answers
2k views

How to use the basic Sparse matrix operations (multiplication, .etc) in PyCUDA

I try to use sparse matrix operations in GPU in Python and now try to use PyCUDA with theano. But I can't find how to do sparse matrix and vector multiplication. I only got an example showing how to ...
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0answers
92 views

Is this problem statement good for a GPU?

I am used to using GPU hardware for large scale matrix operations and vectorizing mathematical operations on a continuous space which has been discretized for numerical computation, but this is a ...
2
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1answer
702 views

Efficient Successive Over Relaxation using Cuda?

I recently implemented Successive Over Relaxation using Cuda as a part of my course project and was curious to know how I can make the code more efficient. I'm using Red/Black SOR scheme which is ...
2
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2answers
286 views

using GPUs before CUDA and OpenCL

Before there was CUDA or OpenCL people were using GPUs for computation. I am trying to find out how they did that -- because I want to press my Rasberry Pi's GPU for computing and it does not seem to ...
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0answers
385 views

I am looking for a complex sparse matrix EigenVector solver for GPGPU; preferably CUDA

So far the closest I've found is ViennaCL, which has a Lanczos implementation for Eigenvalues. It is not clear that EigenVectors are produced by this library. Does anyone here know whether ViennaCL ...
3
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1answer
271 views

Designing a preconditioner for a very Ill-conditionned matrix

I am a physicist with limited numerical methods knowledge and I am trying to speed up the inversion of a very ill-conditioned problem ($rcond>10^{30}$). The same sparse square matrix is used ...
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0answers
82 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 ...
2
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1answer
442 views

PETSc or Trilinos for GPU?

I have to choose between the PETSc and Trilinos libraries for a project that involves the solution of non-linear systems of equations. From their web sites they both mention support for GPUs, ...
2
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1answer
252 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 ...
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2answers
208 views

Exascale computer today

There is a lot of talk about exascale computing these days, and whether we will be able to reach that goal by 2018, 2019 or whatever. I have what is probably a naive question. What are the issues ...
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2answers
490 views

Maxwell vs Kepler for GPU computation

I am looking at the Nvidia GT-860M which comes in both the old Kepler and new Maxwell architecture. The old one (1152) seems to have almost twice the cores as the new one (640). The new one has a ...
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2answers
569 views

Intel's OpenCL SDK for image processing

I'm working on an image processing project and have written some of my algorithms in OpenCL. At the moment I'm using Cloo. I'm at the stage now where I want to optimise my program, as it currently ...
3
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1answer
1k views

GPU-accelerated libraries for solving sparse linear systems

There are several libraries to (iteratively) solve large sparse linear equation systems in parallel on a number of CPUs. Our parallel cluster also has attached powerful GPUs, but so far, I did not ...
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2answers
6k views

GPU Computing: Which GPU Brand and Type gives best value for money?

Recently I started to get interested in GPU-computing. I am considering buying a GPU and am inclined to buy an NVIDIA GPU since this allows for coding in both OpenCL and CUDA. But is NVIDIA really the ...
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5answers
2k 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 ...
3
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2answers
223 views

Consumer GPUs for sparse matrices (e.g. FEA)

Are consumer grade GPUs (like the NVidia Geforce series) used for solving sparse linear equations systems in a professional setting? For example, by engineers performing finite element analysis? ...
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2answers
303 views

Algorithm for Eigenvalue Problem of a Real Symmetric nxn Matrix

I have a nxn covariance matrix (so, real, symmetric, dense, nxn... I mean positive semi-definite). 'n' may be very very very big! I'd like to solve partial (3 largest) eigenvalue (+eigenvectors) ...
8
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1answer
2k views

Options for solving ODE systems on GPUs?

I would like to farm out solving systems of ODEs onto GPUs, in a 'trivially parallelisable' setting. For example, doing a sensitivity analysis with 512 different parameter sets, or solving the (...
32
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1answer
14k 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
143 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 ...
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0answers
332 views

Image processing problems that can be solved using parallel computing? [closed]

Many of the problems in Image processing are embaressingly parallel. But I want to know is it worth solving Image processing using parallel computing? Are there real practical problems in image ...
8
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3answers
1k views

GPU libraries to use for Linear Algebra operations

I am looking for GPU libraries to accelerate a code I have, whose primary "high performance" regions have singular value decomposition, QR factorization and Eigen values, Eigenvectors computation. I ...
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1answer
118 views

What is GPU Boost in NVIDIA GPU

What exactly is GPU Boost and how it helps? What is the improvement in GPU Boost 2.0? I did not understand much reading from the link. Can somebody explain the main concept and details?
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2answers
5k views

Where can I get access to GPU cluster for educational purpose?

I want to work on NVIDIA GPU cluster for my thesis. But the cost of clusters are too high for me to bear. Although I can buy a couple of latest GPU cards, but buying cluster is impossible for me at ...
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0answers
734 views

Optimizing display of millions of triangles per second

I am working on a web-based molecular visualization program for a research project (e.g., one that can display XYZ and PDB files). The current options are outdated (for instance, Jmol uses Java). My ...
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1answer
107 views

OpenCL version constraints?

There's a computational code I'm working with which I'm told requires OpenCL 1.1 or later. I found out I'm saddled with OpenCL 1.0 on my Macbook Pro using some helpful code snippets, and Google has ...