ABOUT THE AUTHORS JOHN(RUNWEI)CHENG is a research scientist with extensive industry experience in high-performance computing on heterogeneous computing platforms.Before joining the oil and gas industry,John worked in the finance industry for more than ten years as an expert in computational intelligence,providing advanced solutions based on genetic algorithms hybridized with data mining and statistical learning to solve real world business challenges.As an internationally recognized researcher in the field of genetic algorithms and their application to industrial engineering,John has co-authored three books.John's first book,Genetic Algorithms and Engineering Design,published by John Wiley and Sons in 1997,is still used as a textbook in universities worldwide.John has a wide range of experience in both academic research and industry development,and is gifted in making complex subjects accessible to readers with a concise,illustrative,and edifying approach.John earned his doctoral degree in computational intelligence from the Tokyo Institute of Technology. MAX GROSSMAN has been working as a developer with various GPU programming models for nearly a decade.His experience is focused in developing novel GPU pro- gramming models and implementing scientific algorithms on GPU hardware.Max has applied GPUs to a wide range of domains,including geoscience,plasma phys- ics,medical imaging,and machine learning,and enjoys understanding the compu- tational patterns of new domains and finding new and unusual ways to apply GPUs to them.Lessons learned from these domains help to guide Max's work in programming models and frameworks.Max earned his degree in computer science from Rice University with a focus in paral- lel computing TY MCKERCHER is a Principal Solution Architect with NVIDIA,leading a team that specializes in visual computing systems architecture across multiple industries. He often serves as a liaison between customer and product engineering teams dur- ing emerging technology evaluations.He has been engaged in CUDA-based projects since he participated in the first CUDA kitchen training session held at NVIDIA headquarters in 2006.Since then,Ty has helped architect GPU-based supercomput- ing environments at some of the largest and most demanding production datacenters in the world. Ty earned his mathematics degree with emphasis in geophysics and computer science from the Colorado School of Mines. www.it-ebooks.infoffi rs.indd 08/07/2014 Page v ABOUT THE AUTHORS JOHN (RUNWEI) CHENG is a research scientist with extensive industry experience in high-performance computing on heterogeneous computing platforms. Before joining the oil and gas industry, John worked in the fi nance industry for more than ten years as an expert in computational intelligence, providing advanced solutions based on genetic algorithms hybridized with data mining and statistical learning to solve real world business challenges. As an internationally recognized researcher in the fi eld of genetic algorithms and their application to industrial engineering, John has co-authored three books. John’s fi rst book, Genetic Algorithms and Engineering Design, published by John Wiley and Sons in 1997, is still used as a textbook in universities worldwide. John has a wide range of experience in both academic research and industry development, and is gifted in making complex subjects accessible to readers with a concise, illustrative, and edifying approach. John earned his doctoral degree in computational intelligence from the Tokyo Institute of Technology. MAX GROSSMAN has been working as a developer with various GPU programming models for nearly a decade. His experience is focused in developing novel GPU pro￾gramming models and implementing scientifi c algorithms on GPU hardware. Max has applied GPUs to a wide range of domains, including geoscience, plasma phys￾ics, medical imaging, and machine learning, and enjoys understanding the compu￾tational patterns of new domains and fi nding new and unusual ways to apply GPUs to them. Lessons learned from these domains help to guide Max’s work in programming models and frameworks. Max earned his degree in computer science from Rice University with a focus in paral￾lel computing. TY MCKERCHER is a Principal Solution Architect with NVIDIA, leading a team that specializes in visual computing systems architecture across multiple industries. He often serves as a liaison between customer and product engineering teams dur￾ing emerging technology evaluations. He has been engaged in CUDA-based projects since he participated in the fi rst CUDA kitchen training session held at NVIDIA headquarters in 2006. Since then, Ty has helped architect GPU-based supercomput￾ing environments at some of the largest and most demanding production datacenters in the world. Ty earned his mathematics degree with emphasis in geophysics and computer science from the Colorado School of Mines. www.it-ebooks.info