Rank: 253 based on 388 downloads (last 30 days) and 10 files submitted
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Parallel Computing Team

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The MathWorks Inc
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Files Posted by Parallel Computing Team View all
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10 Dec 2014 Screenshot Tutorials: Parallel and GPU Computing with MATLAB: All in one (9 parts) Tutorials on Parallel and GPU Computing with MATLAB Author: Parallel Computing Team parallel computing, tutorial, gpu, getting started 70 0
12 Nov 2014 Screenshot Tutorials: Parallel and GPU Computing with MATLAB (3 of 9): Quick Success with parfor Tutorial on Parallel and GPU Computing with MATLAB (3 of 9) Author: Parallel Computing Team parallel computing, gpu, tutorial, getting started 28 0
12 Nov 2014 Screenshot Tutorials: Parallel and GPU Computing with MATLAB (4 of 9): Deeper Insights into Using parfor Tutorial on Parallel and GPU Computing with MATLAB (4 of 9) Author: Parallel Computing Team parallel computing, gpu, tutorial, getting started 17 0
12 Nov 2014 Screenshot Tutorial: Parallel and GPU Computing with MATLAB (5 of 9): Batch Processing Tutorial on Parallel and GPU Computing with MATLAB (5 of 9) Author: Parallel Computing Team parallel computing, gpu, tutorial, getting started 26 0
12 Nov 2014 Screenshot Tutorial: Parallel and GPU Computing with MATLAB (6 of 9): Scaling to Clusters and Cloud Tutorial on Parallel and GPU Computing with MATLAB (6 of 9) Author: Parallel Computing Team parallel computing, gpu, tutorial, getting started 26 0
Comments and Ratings on Parallel Computing Team 's Files View all
Updated File Comment by Comments Rating
31 Oct 2014 Worker Object Wrapper Simplifies managing resources such as large data within PARFOR loops and SPMD blocks Author: Parallel Computing Team Philip

Great file! This sped up my code a lot.

28 Oct 2014 GPUBench Compare GPUs using standard numerical benchmarks in MATLAB. Author: Parallel Computing Team Peri

@Alex. I agree totally. The 15" Macbook Pro double-precision floating point performance is crippled. See GPUBench score @ http://www.tinyurl.com/cuda-on-mac

24 Sep 2014 GPUBench Compare GPUs using standard numerical benchmarks in MATLAB. Author: Parallel Computing Team Alex R.

@Fabio: This is on a Macbook Pro Late 2013, 2.3 Ghz, 16 GB. See last two rows. Seems only the FFT double-precision is faster than the CPU (about twice as fast). \ and * are much slower. Pretty crippled performance ...
Apple should have used the Quadro K1100M (same physical chip as the 750M without the crippled double-precision). From the looks of it, it's not really worth the effort of coding for the GPU on the MBP with 750M. You can just stick with the CPU. Problem is that if you want to buy the MBP without the 750M but with the same CPU, you end up paying the same price (at least that was the case back in May when I bought it).

Results for data-type 'double'
(In GFLOPS) Results for data-type 'single'
(In GFLOPS)
MTimes Backslash FFT MTimes Backslash FFT

Quadro K6000 1489.50 453.38 141.32 3998.82 737.72 295.48
Tesla K20c 1005.00 490.83 110.40 2690.21 772.21 257.51
Tesla C2075 327.83 242.26 69.13 684.97 425.15 144.56
GeForce GTX TITAN 213.35 124.43 90.89 3840.88 735.68 328.85
GeForce GTX 680 139.20 97.53 58.82 1468.69 620.54 214.67
Quadro 2000 38.60 33.01 14.18 232.90 122.57 46.32
GeForce GT 640 18.13 14.08 8.51 185.60 95.49 33.62
Quadro K600 13.24 10.69 6.17 135.40 0.01 26.57

Host PC 136.45 82.92 7.90 250.23 178.69 5.71
GeForce GT 750M 27.38 23.01 13.83 348.97 0.03 59.32

19 Sep 2014 GPUBench Compare GPUs using standard numerical benchmarks in MATLAB. Author: Parallel Computing Team Peri

Noel, MacBook Pro retina Late 2013, i7 2.3GHz, 16 GB, with Nvidia GT 750M discrete card :
C/GPU GFlops |MTimes| Backslash| FFT| MTimes| Backslash| FFT|

Host PC |144.88| 63.95| 6.93| 235.92| 153.01| 11.81

GeForce GT 750M| 27.92| 19.58| 13.04 |296.35 |0.03| 60.88

10 Sep 2014 GPUBench Compare GPUs using standard numerical benchmarks in MATLAB. Author: Parallel Computing Team Fabio Freschi

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