Ferdie

 

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2d convolution, cuda

Files Tagged by Ferdie					1 - 1 of 1
Updated		File	Tags	Downloads (last 30 days)	Comments	Rating
16 Jul 2008		Fast 2D GPU-based convolution Graphics chip assisted fast 2d convolution Author: Alexander Huth	cuda, 2d convolution, fast mex	61	10	4.2 4.2 | 5 ratings

Files Matching Ferdie's Watch List					1 - 1 of 1
Updated		File	Tags	Downloads (last 30 days)	Comments	Rating
04 Aug 2010		CUDA Convolution filter Convolution of an arbitrary 1D complex signal with an arbitrary filter kernel Author: Mario Tuerschmann	cluster, fft, parallel computing, hpc, convolution, cuda	90	9	5.0 5.0 | 1 rating

Comments and Ratings Matching Ferdie's Watch List			1-5 of 9
Date	File	Comment by	Comments	Rating
21 Aug 2009	CUDA Convolution filter Convolution of an arbitrary 1D complex signal with an arbitrary filter kernel	Mario Tuerschmann	Hello, the 64 Bit version of the convolution filter based on CUDA 2.3 is now available. Here the benchmark results tested in MATLAB2008B (32/64 Bit): # signal elements: 100.000 # kernel elements: 100 ***** 32 Bit ********* cuFilter: 0.014 s MATLAB conv: 0.0433 s ***** 64 Bit ****** cuFilter: 0.007 s MATLAB conv: 0.040 s The NVIDIA driver version 190.38 is a basic requirement. Best regards	Comment only
24 Jul 2009	CUDA Convolution filter Convolution of an arbitrary 1D complex signal with an arbitrary filter kernel	Mario Tuerschmann	Hello, the following features were added: + support for CUDA 2.3 + CUDA device selection for multiple QUADRO/GEFORCE/TESLA devies + CUDA device listing + improved error handling the user can now select the CUDA device she/he wants by using a 3rd optional function parameter (0..N-1), where N denotes the number of CUDA devices in your computer. If the 3rd parameter is set to -1, all CUDA devices available on the computer are listed. Best regards	Comment only
24 Jul 2009	CUDA Convolution filter Convolution of an arbitrary 1D complex signal with an arbitrary filter kernel	Mario Tuerschmann	Hello, the following features were added: + support for CUDA 2.3 + CUDA device selection for multiple QUADRO/GEFORCE/TESLA devies + CUDA device listing + improved error handling the user can now select the CUDA device she/he wants by using a 3rd optional function parameter (0..N-1), where N denotes the number of CUDA devices in your computer. If the 3rd parameter is set to -1, all CUDA devices available on the computer are listed. Best regards	Comment only
03 Jul 2009	CUDA Convolution filter Convolution of an arbitrary 1D complex signal with an arbitrary filter kernel	Mario Tuerschmann	Hello, here the benchmark results for "cuFilter" on a 8800GTS GPU vs. MATLAB "conv" function on a XEON E5345 CPU : # signal elements: 100.000 # kernel elements: 100 cuFilter: 0.0155 s conv: 0.0733 s Best regards	Comment only
02 Jul 2009	CUDA Convolution filter Convolution of an arbitrary 1D complex signal with an arbitrary filter kernel	Mario Tuerschmann	Good morning Adrien, the 8500GT is not well suited (only 16 stream processors) and the CUDA memory for 100.000 signal elements is probably not sufficient enough. There is no workaround in the software for a "low memory" case. Without the detailed error message i cant dive deeper into the problem. I'm sure that a statement, that this algorithm is working well on 8800 series GPU's, does'nt help you that much on a 8500GT GPU. Best regards	Comment only