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HIGH-LEVEL GPU COMPUTING WITH ARRAYFIRE FOR C/C++, FORTRAN Phone: +1.800.570.1941 • sales@accelereyes.com • www.accelereyes.com © Copyright, AccelerEyes®. The “AccelerEyes” logo is a trademark of AccelerEyes.BIOPHOTONICS
FULL ARTICLE RMieS-EMSC correction for infrared spectra of biological cells: Extension using full Mie theory and GPU computing Paul Bassan 1, Achim Kohler2, Harald Martens2; 3, Joe Lee4, Edward Jackson , Nicholas Lockyer 1, Paul Dumas5, Michael Brown6, Noel Clarke6 ;7 8, and Peter Gardner* 1 School of Chemical Engineering and Analytical Science, Manchester Interdisciplinary Biocentre MATRIX COMPUTATIONS ON THE GPU WITH ARRAYFIRE FOR PYTHON Chapter 1 ArrayFire-Python 1.1 Introductory remarks In the present chapter we assume that the user has an access to a system with ArrayFire 1.1 and Python installed. MICROSOFT GPGPU COMPUTING HORIZONS: DEVELOPING AND 3 GPGPU Computing Horizons: Developing and Deploying for Microsoft Windows One of the exciting developments in the world of technical computing is the use of general-purpose graphics processing units (GPGPUs) for multiprocessing. QUESTIONS LOG FROM WEBINAR A: Tesla C-2050 Q: How many gpus does this demo use to get speedup of 39? A: One Tesla C-2050 was used in the demonstration Q: There seem to be 4 pricing groups for jacket. ACCELERATING MATLAB USING CUDA- ENABLED GPUS 1 Accelerating MATLAB using CUDA-Enabled GPUs February 2009 John Melonakos AccelerEyes john.melonakos@accelereyes.com Sumit Gupta NVIDIA Tesla GPU Computing MATLAB’S RACING JACKET MATLAB’s Racing Jacket In addition, Jacket has recently added support for MATLAB’s Parallel Computing Toolbox (PCT) and Distributed Computing Server (DCS). MATLAB ACCELERATION FOR LIFE SCIENCE APPLICATIONS USING 1 MATLAB Acceleration for Life Science Applications using CUDA-Enabled GPUs. April 2009. John Melonakos. AccelerEyes. john.melonakos@accelereyes.com. Sumit Gupta ARRAYFIRE WEBINAR: OPENCL AND CUDA TRADE-OFFS AND COMPARISONS Performance •Both CUDA and OpenCL are fast •Both can fully utilize the hardware •Devil in the details: –Hardware type, algorithmtype, code quality
GPU ACCELERATION OF SAR/ISAR IMAGING ALGORITHMS GPU Acceleration of SAR/ISAR Imaging Algorithms Gary Rubin System Planning Corporation 3601 Wilson Blvd. Arlington, Virginia 22201 EarlV. Sager, Ph.D.
HIGH-LEVEL GPU COMPUTING WITH ARRAYFIRE FOR C/C++, FORTRAN Phone: +1.800.570.1941 • sales@accelereyes.com • www.accelereyes.com © Copyright, AccelerEyes®. The “AccelerEyes” logo is a trademark of AccelerEyes.BIOPHOTONICS
FULL ARTICLE RMieS-EMSC correction for infrared spectra of biological cells: Extension using full Mie theory and GPU computing Paul Bassan 1, Achim Kohler2, Harald Martens2; 3, Joe Lee4, Edward Jackson , Nicholas Lockyer 1, Paul Dumas5, Michael Brown6, Noel Clarke6 ;7 8, and Peter Gardner* 1 School of Chemical Engineering and Analytical Science, Manchester Interdisciplinary Biocentre MATRIX COMPUTATIONS ON THE GPU WITH ARRAYFIRE FOR PYTHON Chapter 1 ArrayFire-Python 1.1 Introductory remarks In the present chapter we assume that the user has an access to a system with ArrayFire 1.1 and Python installed. MICROSOFT GPGPU COMPUTING HORIZONS: DEVELOPING AND 3 GPGPU Computing Horizons: Developing and Deploying for Microsoft Windows One of the exciting developments in the world of technical computing is the use of general-purpose graphics processing units (GPGPUs) for multiprocessing. QUESTIONS LOG FROM WEBINAR A: Tesla C-2050 Q: How many gpus does this demo use to get speedup of 39? A: One Tesla C-2050 was used in the demonstration Q: There seem to be 4 pricing groups for jacket. ACCELERATING MATLAB USING CUDA- ENABLED GPUS 1 Accelerating MATLAB using CUDA-Enabled GPUs February 2009 John Melonakos AccelerEyes john.melonakos@accelereyes.com Sumit Gupta NVIDIA Tesla GPU Computing MATLAB’S RACING JACKET MATLAB’s Racing Jacket In addition, Jacket has recently added support for MATLAB’s Parallel Computing Toolbox (PCT) and Distributed Computing Server (DCS). MATLAB ACCELERATION FOR LIFE SCIENCE APPLICATIONS USING 1 MATLAB Acceleration for Life Science Applications using CUDA-Enabled GPUs. April 2009. John Melonakos. AccelerEyes. john.melonakos@accelereyes.com. Sumit Gupta ARRAYFIRE WEBINAR: OPENCL AND CUDA TRADE-OFFS AND COMPARISONS Performance •Both CUDA and OpenCL are fast •Both can fully utilize the hardware •Devil in the details: –Hardware type, algorithmtype, code quality
USING JACKET: PRODUCTIVITY PLATFORM FOR GPU COMPUTING The power specified vector represents the power injections at each bus computed using the generator and load data. This means that the power of all the generators connected at a bus is SIGNAL PROCESSING AT BAE SYSTEMS 75 5th Street NW, Atlanta, GA 30308 • Phone: +1.800.570.1941 • www.accelereyes.com © Copyright 2009, Accelereyes LLC and its licensors. All rights reserved. The ACCELEREYES ANNOUNCES THE RELEASE OF JACKET V0.3 FOR AccelerEyes announces the release of Jacket v0.3 For further information, contact: John Melonakos AccelerEyes 800 W Peachtree St NWAtlanta, GA 30308
MATLAB’S RACING JACKET MATLAB’s Racing Jacket In addition, Jacket has recently added support for MATLAB’s Parallel Computing Toolbox (PCT) and Distributed Computing Server (DCS). QUESTIONS LOG FROM WEBINAR A: Tesla C-2050 Q: How many gpus does this demo use to get speedup of 39? A: One Tesla C-2050 was used in the demonstration Q: There seem to be 4 pricing groups for jacket. MATLAB ACCELERATION FOR LIFE SCIENCE APPLICATIONS USING 1 MATLAB Acceleration for Life Science Applications using CUDA-Enabled GPUs. April 2009. John Melonakos. AccelerEyes. john.melonakos@accelereyes.com. Sumit Gupta RUN MATLAB 10X-50X FASTER USING GPUS AND JACKET PLUG-IN 1 Run MATLAB 10x-50x Faster using GPUs and Jacket Plug-in. June 2009. John Melonakos. AccelerEyes. john.melonakos@accelereyes.com. Sumit Gupta. NVIDIA Tesla GPU Computing FOR FURTHER INFORMATION, CONTACT: FOR IMMEDIATE RELEASE maintenance and updates with each software license. Volume packages and development bundles are also now available at special price points. About AccelerEyes ANN FRIED MICROWAY, INC. RICHARDS ROAD MA Incorporated in 1982, Microway is a major vendor in the High Performance Computing market, designing state‐of‐ the‐art, high‐end Linux clusters, servers, and data storage solutions. ARRAYFIRE WEBINAR: OPENCL AND CUDA TRADE-OFFS AND COMPARISONS Libraries Make the Difference Raw math libraries in NVIDIA CUDA •CUBLAS, CUFFT, CULA, Magma –Provides all BLAS, LAPACK, and FFT routines necessary for most dense matrix operationsBIOPHOTONICS
FULL ARTICLE RMieS-EMSC correction for infrared spectra of biological cells: Extension using full Mie theory and GPU computing Paul Bassan 1, Achim Kohler2, Harald Martens2; 3, Joe Lee4, Edward Jackson , Nicholas Lockyer 1, Paul Dumas5, Michael Brown6, Noel Clarke6 ;7 8, and Peter Gardner* 1 School of Chemical Engineering and Analytical Science, Manchester Interdisciplinary Biocentre ACCELEREYES LAUNCHES EASIER, FASTER, AND LESS EXPENSIVE For further information, contact: John Melonakos AccelerEyes 75 5th Street NW, Suite 204, Atlanta, GA 30308 +1 (800) 570‐1941 ACCELERATING MATLAB USING CUDA- ENABLED GPUS 1 Accelerating MATLAB using CUDA-Enabled GPUs February 2009 John Melonakos AccelerEyes john.melonakos@accelereyes.com Sumit Gupta NVIDIA Tesla GPU Computing GPU ACCELERATION OF SAR/ISAR IMAGING ALGORITHMS GPU Acceleration of SAR/ISAR Imaging Algorithms Gary Rubin System Planning Corporation 3601 Wilson Blvd. Arlington, Virginia 22201 EarlV. Sager, Ph.D.
MATLAB ACCELERATION FOR LIFE SCIENCE APPLICATIONS USING 1 MATLAB Acceleration for Life Science Applications using CUDA-Enabled GPUs. April 2009. John Melonakos. AccelerEyes. john.melonakos@accelereyes.com. Sumit Gupta RUN MATLAB 10X-50X FASTER USING GPUS AND JACKET PLUG-IN 1 Run MATLAB 10x-50x Faster using GPUs and Jacket Plug-in. June 2009. John Melonakos. AccelerEyes. john.melonakos@accelereyes.com. Sumit Gupta. NVIDIA Tesla GPU Computing MATRIX COMPUTATIONS ON THE GPU WITH ARRAYFIRE FOR PYTHON Chapter 1 ArrayFire-Python 1.1 Introductory remarks In the present chapter we assume that the user has an access to a system with ArrayFire 1.1 and Python installed.BIOPHOTONICS
FULL ARTICLE RMieS-EMSC correction for infrared spectra of biological cells: Extension using full Mie theory and GPU computing Paul Bassan 1, Achim Kohler2, Harald Martens2; 3, Joe Lee4, Edward Jackson , Nicholas Lockyer 1, Paul Dumas5, Michael Brown6, Noel Clarke6 ;7 8, and Peter Gardner* 1 School of Chemical Engineering and Analytical Science, Manchester Interdisciplinary Biocentre ACCELEREYES LAUNCHES EASIER, FASTER, AND LESS EXPENSIVE For further information, contact: John Melonakos AccelerEyes 75 5th Street NW, Suite 204, Atlanta, GA 30308 +1 (800) 570‐1941 ACCELERATING MATLAB USING CUDA- ENABLED GPUS 1 Accelerating MATLAB using CUDA-Enabled GPUs February 2009 John Melonakos AccelerEyes john.melonakos@accelereyes.com Sumit Gupta NVIDIA Tesla GPU Computing GPU ACCELERATION OF SAR/ISAR IMAGING ALGORITHMS GPU Acceleration of SAR/ISAR Imaging Algorithms Gary Rubin System Planning Corporation 3601 Wilson Blvd. Arlington, Virginia 22201 EarlV. Sager, Ph.D.
MATLAB ACCELERATION FOR LIFE SCIENCE APPLICATIONS USING 1 MATLAB Acceleration for Life Science Applications using CUDA-Enabled GPUs. April 2009. John Melonakos. AccelerEyes. john.melonakos@accelereyes.com. Sumit Gupta RUN MATLAB 10X-50X FASTER USING GPUS AND JACKET PLUG-IN 1 Run MATLAB 10x-50x Faster using GPUs and Jacket Plug-in. June 2009. John Melonakos. AccelerEyes. john.melonakos@accelereyes.com. Sumit Gupta. NVIDIA Tesla GPU Computing MATRIX COMPUTATIONS ON THE GPU WITH ARRAYFIRE FOR PYTHON Chapter 1 ArrayFire-Python 1.1 Introductory remarks In the present chapter we assume that the user has an access to a system with ArrayFire 1.1 and Python installed. ACCELEREYES LAUNCHES EASIER, FASTER, AND LESS EXPENSIVE For further information, contact: John Melonakos AccelerEyes 75 5th Street NW, Suite 204, Atlanta, GA 30308 +1 (800) 570‐1941 RUN MATLAB 10X-50X FASTER USING GPUS AND JACKET PLUG-IN 1 Run MATLAB 10x-50x Faster using GPUs and Jacket Plug-in. June 2009. John Melonakos. AccelerEyes. john.melonakos@accelereyes.com. Sumit Gupta. NVIDIA Tesla GPU Computing USING JACKET: PRODUCTIVITY PLATFORM FOR GPU COMPUTING The power specified vector represents the power injections at each bus computed using the generator and load data. This means that the power of all the generators connected at a bus is HIGH-LEVEL GPU COMPUTING WITH ARRAYFIRE FOR C/C++, FORTRAN Phone: +1.800.570.1941 • sales@accelereyes.com • www.accelereyes.com © Copyright, AccelerEyes®. The “AccelerEyes” logo is a trademark of AccelerEyes.RBF IMPLEMENTATION
RBF Implementation. Although MATLAB provides an API to interface with C code, and in essence with CUDA through MEX files, Jacket software by AccelerEyes was used toBIOPHOTONICS
FULL ARTICLE RMieS-EMSC correction for infrared spectra of biological cells: Extension using full Mie theory and GPU computing Paul Bassan 1, Achim Kohler2, Harald Martens2; 3, Joe Lee4, Edward Jackson , Nicholas Lockyer 1, Paul Dumas5, Michael Brown6, Noel Clarke6 ;7 8, and Peter Gardner* 1 School of Chemical Engineering and Analytical Science, Manchester Interdisciplinary Biocentre ACCELEREYES LAUNCHES EASIER, FASTER, AND LESS EXPENSIVE For further information, contact: John Melonakos AccelerEyes 75 5th Street NW, Suite 204, Atlanta, GA 30308 +1 (800) 570‐1941 ACCELERATING MATLAB USING CUDA- ENABLED GPUS 1 Accelerating MATLAB using CUDA-Enabled GPUs February 2009 John Melonakos AccelerEyes john.melonakos@accelereyes.com Sumit Gupta NVIDIA Tesla GPU Computing GPU ACCELERATION OF SAR/ISAR IMAGING ALGORITHMS GPU Acceleration of SAR/ISAR Imaging Algorithms Gary Rubin System Planning Corporation 3601 Wilson Blvd. Arlington, Virginia 22201 EarlV. Sager, Ph.D.
MATLAB ACCELERATION FOR LIFE SCIENCE APPLICATIONS USING 1 MATLAB Acceleration for Life Science Applications using CUDA-Enabled GPUs. April 2009. John Melonakos. AccelerEyes. john.melonakos@accelereyes.com. Sumit Gupta RUN MATLAB 10X-50X FASTER USING GPUS AND JACKET PLUG-IN 1 Run MATLAB 10x-50x Faster using GPUs and Jacket Plug-in. June 2009. John Melonakos. AccelerEyes. john.melonakos@accelereyes.com. Sumit Gupta. NVIDIA Tesla GPU Computing MATRIX COMPUTATIONS ON THE GPU WITH ARRAYFIRE FOR PYTHON Chapter 1 ArrayFire-Python 1.1 Introductory remarks In the present chapter we assume that the user has an access to a system with ArrayFire 1.1 and Python installed.BIOPHOTONICS
FULL ARTICLE RMieS-EMSC correction for infrared spectra of biological cells: Extension using full Mie theory and GPU computing Paul Bassan 1, Achim Kohler2, Harald Martens2; 3, Joe Lee4, Edward Jackson , Nicholas Lockyer 1, Paul Dumas5, Michael Brown6, Noel Clarke6 ;7 8, and Peter Gardner* 1 School of Chemical Engineering and Analytical Science, Manchester Interdisciplinary Biocentre ACCELEREYES LAUNCHES EASIER, FASTER, AND LESS EXPENSIVE For further information, contact: John Melonakos AccelerEyes 75 5th Street NW, Suite 204, Atlanta, GA 30308 +1 (800) 570‐1941 ACCELERATING MATLAB USING CUDA- ENABLED GPUS 1 Accelerating MATLAB using CUDA-Enabled GPUs February 2009 John Melonakos AccelerEyes john.melonakos@accelereyes.com Sumit Gupta NVIDIA Tesla GPU Computing GPU ACCELERATION OF SAR/ISAR IMAGING ALGORITHMS GPU Acceleration of SAR/ISAR Imaging Algorithms Gary Rubin System Planning Corporation 3601 Wilson Blvd. Arlington, Virginia 22201 EarlV. Sager, Ph.D.
MATLAB ACCELERATION FOR LIFE SCIENCE APPLICATIONS USING 1 MATLAB Acceleration for Life Science Applications using CUDA-Enabled GPUs. April 2009. John Melonakos. AccelerEyes. john.melonakos@accelereyes.com. Sumit Gupta RUN MATLAB 10X-50X FASTER USING GPUS AND JACKET PLUG-IN 1 Run MATLAB 10x-50x Faster using GPUs and Jacket Plug-in. June 2009. John Melonakos. AccelerEyes. john.melonakos@accelereyes.com. Sumit Gupta. NVIDIA Tesla GPU Computing MATRIX COMPUTATIONS ON THE GPU WITH ARRAYFIRE FOR PYTHON Chapter 1 ArrayFire-Python 1.1 Introductory remarks In the present chapter we assume that the user has an access to a system with ArrayFire 1.1 and Python installed. ACCELEREYES LAUNCHES EASIER, FASTER, AND LESS EXPENSIVE For further information, contact: John Melonakos AccelerEyes 75 5th Street NW, Suite 204, Atlanta, GA 30308 +1 (800) 570‐1941 RUN MATLAB 10X-50X FASTER USING GPUS AND JACKET PLUG-IN 1 Run MATLAB 10x-50x Faster using GPUs and Jacket Plug-in. June 2009. John Melonakos. AccelerEyes. john.melonakos@accelereyes.com. Sumit Gupta. NVIDIA Tesla GPU Computing USING JACKET: PRODUCTIVITY PLATFORM FOR GPU COMPUTING The power specified vector represents the power injections at each bus computed using the generator and load data. This means that the power of all the generators connected at a bus is HIGH-LEVEL GPU COMPUTING WITH ARRAYFIRE FOR C/C++, FORTRAN Phone: +1.800.570.1941 • sales@accelereyes.com • www.accelereyes.com © Copyright, AccelerEyes®. The “AccelerEyes” logo is a trademark of AccelerEyes.RBF IMPLEMENTATION
RBF Implementation. Although MATLAB provides an API to interface with C code, and in essence with CUDA through MEX files, Jacket software by AccelerEyes was used to HIGH-LEVEL GPU COMPUTING WITH ARRAYFIRE FOR C/C++, FORTRAN Phone: +1.800.570.1941 • sales@accelereyes.com • www.accelereyes.com © Copyright, AccelerEyes®. The “AccelerEyes” logo is a trademark of AccelerEyes. GPU ACCELERATION OF SAR/ISAR IMAGING ALGORITHMS GPU Acceleration of SAR/ISAR Imaging Algorithms Gary Rubin System Planning Corporation 3601 Wilson Blvd. Arlington, Virginia 22201 EarlV. Sager, Ph.D.
RUN MATLAB 10X-50X FASTER USING GPUS AND JACKET PLUG-IN 1 Run MATLAB 10x-50x Faster using GPUs and Jacket Plug-in. June 2009. John Melonakos. AccelerEyes. john.melonakos@accelereyes.com. Sumit Gupta. NVIDIA Tesla GPU Computing ACCELERATING MATLAB USING CUDA- ENABLED GPUS 1 Accelerating MATLAB using CUDA-Enabled GPUs February 2009 John Melonakos AccelerEyes john.melonakos@accelereyes.com Sumit Gupta NVIDIA Tesla GPU Computing MATRIX COMPUTATIONS ON THE GPU WITH ARRAYFIRE FOR PYTHON Chapter 1 ArrayFire-Python 1.1 Introductory remarks In the present chapter we assume that the user has an access to a system with ArrayFire 1.1 and Python installed. ARRAYFIRE WEBINAR: OPENCL AND CUDA TRADE-OFFS AND COMPARISONS Performance •Both CUDA and OpenCL are fast •Both can fully utilize the hardware •Devil in the details: –Hardware type, algorithmtype, code quality
HIGH-LEVEL GPU COMPUTING WITH ARRAYFIRE FOR C/C++, FORTRAN Phone: +1.800.570.1941 • sales@accelereyes.com • www.accelereyes.com © Copyright, AccelerEyes®. The “AccelerEyes” logo is a trademark of AccelerEyes. GPU ACCELERATION OF SAR/ISAR IMAGING ALGORITHMS GPU Acceleration of SAR/ISAR Imaging Algorithms Gary Rubin System Planning Corporation 3601 Wilson Blvd. Arlington, Virginia 22201 EarlV. Sager, Ph.D.
RUN MATLAB 10X-50X FASTER USING GPUS AND JACKET PLUG-IN 1 Run MATLAB 10x-50x Faster using GPUs and Jacket Plug-in. June 2009. John Melonakos. AccelerEyes. john.melonakos@accelereyes.com. Sumit Gupta. NVIDIA Tesla GPU Computing ACCELERATING MATLAB USING CUDA- ENABLED GPUS 1 Accelerating MATLAB using CUDA-Enabled GPUs February 2009 John Melonakos AccelerEyes john.melonakos@accelereyes.com Sumit Gupta NVIDIA Tesla GPU Computing MATRIX COMPUTATIONS ON THE GPU WITH ARRAYFIRE FOR PYTHON Chapter 1 ArrayFire-Python 1.1 Introductory remarks In the present chapter we assume that the user has an access to a system with ArrayFire 1.1 and Python installed. ARRAYFIRE WEBINAR: OPENCL AND CUDA TRADE-OFFS AND COMPARISONS Performance •Both CUDA and OpenCL are fast •Both can fully utilize the hardware •Devil in the details: –Hardware type, algorithmtype, code quality
RUN MATLAB 10X-50X FASTER USING GPUS AND JACKET PLUG-IN 1 Run MATLAB 10x-50x Faster using GPUs and Jacket Plug-in. June 2009. John Melonakos. AccelerEyes. john.melonakos@accelereyes.com. Sumit Gupta. NVIDIA Tesla GPU Computing PRODUCTIVE GPU SOFTWARE THIS CONFERENCE USES INTEGRATED Productive GPU Software This conference uses integrated audio. To interact with the host, you need a working microphone and speakers. To speak, please click on the “Raise Hand” button in ARRAYFIRE WEBINAR: OPENCL AND CUDA TRADE-OFFS AND COMPARISONS Libraries Make the Difference Raw math libraries in NVIDIA CUDA •CUBLAS, CUFFT, CULA, Magma –Provides all BLAS, LAPACK, and FFT routines necessary for most dense matrix operations HIGH-LEVEL GPU COMPUTING WITH ARRAYFIRE FOR C/C++, FORTRAN Phone: +1.800.570.1941 • sales@accelereyes.com • www.accelereyes.com © Copyright, AccelerEyes®. The “AccelerEyes” logo is a trademark of AccelerEyes. GPU ACCELERATION OF SAR/ISAR IMAGING ALGORITHMS GPU Acceleration of SAR/ISAR Imaging Algorithms Gary Rubin System Planning Corporation 3601 Wilson Blvd. Arlington, Virginia 22201 EarlV. Sager, Ph.D.
MATRIX COMPUTATIONS ON THE GPU WITH ARRAYFIRE FOR PYTHON Chapter 1 ArrayFire-Python 1.1 Introductory remarks In the present chapter we assume that the user has an access to a system with ArrayFire 1.1 and Python installed. ACCELERATING MATLAB USING CUDA- ENABLED GPUS 1 Accelerating MATLAB using CUDA-Enabled GPUs February 2009 John Melonakos AccelerEyes john.melonakos@accelereyes.com Sumit Gupta NVIDIA Tesla GPU Computing HIGH-LEVEL GPU COMPUTING WITH ARRAYFIRE FOR C/C++, FORTRAN Phone: +1.800.570.1941 • sales@accelereyes.com • www.accelereyes.com © Copyright, AccelerEyes®. The “AccelerEyes” logo is a trademark of AccelerEyes. GPU ACCELERATION OF SAR/ISAR IMAGING ALGORITHMS GPU Acceleration of SAR/ISAR Imaging Algorithms Gary Rubin System Planning Corporation 3601 Wilson Blvd. Arlington, Virginia 22201 EarlV. Sager, Ph.D.
MATRIX COMPUTATIONS ON THE GPU WITH ARRAYFIRE FOR PYTHON Chapter 1 ArrayFire-Python 1.1 Introductory remarks In the present chapter we assume that the user has an access to a system with ArrayFire 1.1 and Python installed. ACCELERATING MATLAB USING CUDA- ENABLED GPUS 1 Accelerating MATLAB using CUDA-Enabled GPUs February 2009 John Melonakos AccelerEyes john.melonakos@accelereyes.com Sumit Gupta NVIDIA Tesla GPU Computing USING JACKET: PRODUCTIVITY PLATFORM FOR GPU COMPUTING The power specified vector represents the power injections at each bus computed using the generator and load data. This means that the power of all the generators connected at a bus is RUN MATLAB 10X-50X FASTER USING GPUS AND JACKET PLUG-IN 1 Run MATLAB 10x-50x Faster using GPUs and Jacket Plug-in. June 2009. John Melonakos. AccelerEyes. john.melonakos@accelereyes.com. Sumit Gupta. NVIDIA Tesla GPU Computing HIGH-LEVEL GPU COMPUTING WITH ARRAYFIRE FOR C/C++, FORTRAN Phone: +1.800.570.1941 • sales@accelereyes.com • www.accelereyes.com © Copyright, AccelerEyes®. The “AccelerEyes” logo is a trademark of AccelerEyes. GPU ACCELERATION OF SAR/ISAR IMAGING ALGORITHMS GPU Acceleration of SAR/ISAR Imaging Algorithms Gary Rubin System Planning Corporation 3601 Wilson Blvd. Arlington, Virginia 22201 EarlV. Sager, Ph.D.
MATRIX COMPUTATIONS ON THE GPU WITH ARRAYFIRE FOR PYTHON Chapter 1 ArrayFire-Python 1.1 Introductory remarks In the present chapter we assume that the user has an access to a system with ArrayFire 1.1 and Python installed. ACCELERATING MATLAB USING CUDA- ENABLED GPUS 1 Accelerating MATLAB using CUDA-Enabled GPUs February 2009 John Melonakos AccelerEyes john.melonakos@accelereyes.com Sumit Gupta NVIDIA Tesla GPU Computing HIGH-LEVEL GPU COMPUTING WITH ARRAYFIRE FOR C/C++, FORTRAN Phone: +1.800.570.1941 • sales@accelereyes.com • www.accelereyes.com © Copyright, AccelerEyes®. The “AccelerEyes” logo is a trademark of AccelerEyes. GPU ACCELERATION OF SAR/ISAR IMAGING ALGORITHMS GPU Acceleration of SAR/ISAR Imaging Algorithms Gary Rubin System Planning Corporation 3601 Wilson Blvd. Arlington, Virginia 22201 EarlV. Sager, Ph.D.
MATRIX COMPUTATIONS ON THE GPU WITH ARRAYFIRE FOR PYTHON Chapter 1 ArrayFire-Python 1.1 Introductory remarks In the present chapter we assume that the user has an access to a system with ArrayFire 1.1 and Python installed. ACCELERATING MATLAB USING CUDA- ENABLED GPUS 1 Accelerating MATLAB using CUDA-Enabled GPUs February 2009 John Melonakos AccelerEyes john.melonakos@accelereyes.com Sumit Gupta NVIDIA Tesla GPU Computing USING JACKET: PRODUCTIVITY PLATFORM FOR GPU COMPUTING The power specified vector represents the power injections at each bus computed using the generator and load data. This means that the power of all the generators connected at a bus is RUN MATLAB 10X-50X FASTER USING GPUS AND JACKET PLUG-IN 1 Run MATLAB 10x-50x Faster using GPUs and Jacket Plug-in. June 2009. John Melonakos. AccelerEyes. john.melonakos@accelereyes.com. Sumit Gupta. NVIDIA Tesla GPU Computing__ Navigation
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