Guide to Numerical Algorithm Design and Development: Including Legacy Examples from FORTRAN and MathCAD in High Precision (Hardcover) (ISBN-13: 9783031901775)

Dr. Delic majored in Physics for the B.S. (University of New South Wales) and received a Ph.D. in Theoretical Physics (Australian National University). He went on to establish a career in computational physics that spanned work at research and development centers in Europe and the USA. After this a tenured faculty appointment followed with academic duties in service, teaching and research. Dr. Delic's research record of over 50 peer-reviewed publications demonstrates a wide range of interests centered in advanced numerical algorithms for high performance computational platforms. He has more than three decades of programmer/analyst experience on serial, vector, Shared Memory Parallel and Distributed Memory Parallel computer platforms. After arrival in the USA Dr. Delic developed skills (and a training program) in vector Supercomputing and published research on Supercomputer work-load performance. He then entered into Government contracting where he acted as a Key Appointment in establishing the U.S. EPA Scientific Customer Support group at the EPA's Supercomputer Center. During this tenure Dr. Delic acted as project lead in software development, conducted outreach/training at customer sites, and organized/edited technical conferences/proceedings on Supercomputing and high performance algorithms for environmental models. Dr. Delic has applied his extensive experience in Government contracting to establish a consultancy (HiPERiSM Consulting, LLC) that specializes in technology transfer to enhance programmer skill levels in OpenMP, MPI and hybrid OpenMP+MPI programming. Specialized courses have sensitized stake-holders in legacy codes to the need for code and performance portability across current and future computer architectures. The importance of software tools and the programming environment as a whole have been major components of the consultancy. Dr. Delic's current interests include, evaluation of compiler performance, portability across parallel computer architectures, and hybrid programming models that match trends in clustered parallel computing.