Rank: 1404 based on 45 downloads (last 30 days) and 2 files submitted

Mario Tuerschmann

E-mail: dipl-ing_tuerschmann@loop.de

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Files Posted by Mario					View all 1 - 2 of 2
Updated		File	Tags	Downloads (last 30 days)	Comments	Rating
12 Jul 2011		HDR image viewer for Deep Color Monitor Display your captured image from within MATLAB on a Deep Color monitor with HDR quality Author: Mario Tuerschmann	cuda, hdr, deep color, dicom, image viewer, figure	34	1
04 Aug 2010		CUDA Convolution filter Convolution of an arbitrary 1D complex signal with an arbitrary filter kernel Author: Mario Tuerschmann	cluster, hpc, convolution, fft, cuda, parallel computing	11	9	5.0 5.0 \| 1 rating

Comments and Ratings by Mario		View all 1 - 5 of 7
Updated	File	Comments	Rating
09 Jun 2011	HDR image viewer for Deep Color Monitor Display your captured image from within MATLAB on a Deep Color monitor with HDR quality Author: Mario Tuerschmann	Added Zoom and Move feature by the left mouse button klick and mouse wheel turn Improved automatic control resize for best fit of image size to the figure size Added control for Exposure and Gamma values Added control for Histogam and Info display Improved DICOM file compatibility Moved the M-Code to a single function "HdrImgView" Usage "axDeepColor = HdrImgView;" Usage "axDeepColor.LoadFile('MyFile.tif');"
21 Aug 2009	CUDA Convolution filter Convolution of an arbitrary 1D complex signal with an arbitrary filter kernel Author: 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
24 Jul 2009	CUDA Convolution filter Convolution of an arbitrary 1D complex signal with an arbitrary filter kernel Author: 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
24 Jul 2009	CUDA Convolution filter Convolution of an arbitrary 1D complex signal with an arbitrary filter kernel Author: 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
03 Jul 2009	CUDA Convolution filter Convolution of an arbitrary 1D complex signal with an arbitrary filter kernel Author: 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

Comments and Ratings on Mario's Files			View all 1 - 5 of 10
Updated	File	Comment by	Comments	Rating
09 Jun 2011	HDR image viewer for Deep Color Monitor Display your captured image from within MATLAB on a Deep Color monitor with HDR quality Author: Mario Tuerschmann	Tuerschmann, Mario	Added Zoom and Move feature by the left mouse button klick and mouse wheel turn Improved automatic control resize for best fit of image size to the figure size Added control for Exposure and Gamma values Added control for Histogam and Info display Improved DICOM file compatibility Moved the M-Code to a single function "HdrImgView" Usage "axDeepColor = HdrImgView;" Usage "axDeepColor.LoadFile('MyFile.tif');"
21 Aug 2009	CUDA Convolution filter Convolution of an arbitrary 1D complex signal with an arbitrary filter kernel Author: Mario Tuerschmann	Tuerschmann, Mario	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
24 Jul 2009	CUDA Convolution filter Convolution of an arbitrary 1D complex signal with an arbitrary filter kernel Author: Mario Tuerschmann	Tuerschmann, Mario	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
24 Jul 2009	CUDA Convolution filter Convolution of an arbitrary 1D complex signal with an arbitrary filter kernel Author: Mario Tuerschmann	Tuerschmann, Mario	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
03 Jul 2009	CUDA Convolution filter Convolution of an arbitrary 1D complex signal with an arbitrary filter kernel Author: Mario Tuerschmann	Tuerschmann, Mario	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

Top Tags Applied by Mario	1 - 5 of 11
cuda, cluster, convolution, deep color, dicom

Files Tagged by Mario					View all 1 - 2 of 2
Updated		File	Tags	Downloads (last 30 days)	Comments	Rating
12 Jul 2011		HDR image viewer for Deep Color Monitor Display your captured image from within MATLAB on a Deep Color monitor with HDR quality Author: Mario Tuerschmann	cuda, hdr, deep color, dicom, image viewer, figure	34	1
04 Aug 2010		CUDA Convolution filter Convolution of an arbitrary 1D complex signal with an arbitrary filter kernel Author: Mario Tuerschmann	cluster, hpc, convolution, fft, cuda, parallel computing	11	9	5.0 5.0 \| 1 rating

Currently Watching
Type	Description
File	CUDA Convolution filter
File	HDR image viewer for Deep Color Monitor

Files Matching Mario's Watch List					View all 1 - 2 of 2
Updated		File	Tags	Downloads (last 30 days)	Comments	Rating
12 Jul 2011		HDR image viewer for Deep Color Monitor Display your captured image from within MATLAB on a Deep Color monitor with HDR quality Author: Mario Tuerschmann	cuda, hdr, deep color, dicom, image viewer, figure	34	1
04 Aug 2010		CUDA Convolution filter Convolution of an arbitrary 1D complex signal with an arbitrary filter kernel Author: Mario Tuerschmann	cluster, hpc, convolution, fft, cuda, parallel computing	11	9	5.0 5.0 \| 1 rating

Comments and Ratings Matching Mario's Watch List			1-5 of 10
Date	File	Comment by	Comments	Rating
09 Jun 2011	HDR image viewer for Deep Color Monitor Display your captured image from within MATLAB on a Deep Color monitor with HDR quality	Mario Tuerschmann	Added Zoom and Move feature by the left mouse button klick and mouse wheel turn Improved automatic control resize for best fit of image size to the figure size Added control for Exposure and Gamma values Added control for Histogam and Info display Improved DICOM file compatibility Moved the M-Code to a single function "HdrImgView" Usage "axDeepColor = HdrImgView;" Usage "axDeepColor.LoadFile('MyFile.tif');"	Comment only
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

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