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About this product
- DescriptionBeyond simulation and algorithm development, many developers increasingly use MATLAB even for product deployment in computationally heavy fields. Starting with the basics, setting up MATLAB for CUDA (in Windows, Linux and Mac OS X) and profiling, this title guides users through topics such as CUDA libraries.
- Author BiographyJung W. Suh is a senior algorithm engineer and research scientist at KLA-Tencor. Dr. Suh received his Ph.D. from Virginia Tech in 2007 for his 3D medical image processing work. He was involved in the development of MPEG-4 and Digital Mobile Broadcasting (DMB) systems in Samsung Electronics. He was a senior scientist at HeartFlow, Inc., prior to joining KLA-Tencor. His research interests are in the fields of biomedical image processing, pattern recognition, machine learning and image/video compression. He has more than 30 journal and conference papers and 6 patents. Youngmin Kim is a staff software engineer at Life Technologies where he has been programming in the area that requires real-time image acquisition and high-throughput image analysis. His previous works involved designing and developing software for automated microscopy and integrating imaging algorithms for real time analysis. He received his BS and MS from the University of Illinois at Urbana-Champaign in electrical engineering. Since then he developed 3D medical software at Samsung and led a software team at the startup company, prior to joining Life Technologies.
- Author(s)Jung W. Suh,Youngmin Kim
- PublisherElsevier Science & Technology
- Date of Publication02/12/2013
- GenreComputing: General
- Place of PublicationSan Francisco
- Country of PublicationUnited States
- ImprintMorgan Kaufmann Publishers In
- Weight420 g
- Width152 mm
- Height229 mm
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