Generic approach to Legacy Fortran code porting on GPU

<!--HTML--><p style="text-align: justify;">In this seminar we will present our methodology of unleashing the potential of GPU computing in legacy Fortran codes: to what degree the source code has to be modified to become usable on GPUs, how to turn single-threaded Fortran code into multi-threaded ensemble, how to pack all code into single GPU kernel to minimize synchronization stalls, how to map small loops onto parallel threads with custom directives and LLVM/NVVM, how to retain the preferred Fortran formatted outputs and other questions. The seminar is intended to introduce scientific code developers into techniques beyond the standard CUDA/OpenCL/OpenACC programming methodology, conserve the existing codebase and achieve high GPU utilization.</p> <h4>About the speaker</h4> <p style="text-align: justify;"> Dmitry Mikushin holds MS degree in computer science from the Lomonosov Moscow State University. His working experience includes GPUs and CellBE software engineering at NVIDIA (2009-2011), computational science and GPU-enabled compilers at the University of Lugano (2012-present). At Applied Parallel Computing LLC (2011-present) he leads GPU porting and optimization projects as well as delivery of HPC training courses to academia and industry. </p>