Democratization of HPC in the Oil&Gas Industry through Automatic Parallelization with Parallware

Appentra Solutions is pleased to announce  that Parallware will be presented at the 2015 Rice University Oil & Gas High Performance Computing (OG HPC) Workshop, the premier meeting place for networking and discussion focused on computing and information technology challenges and needs in the oil and gas industry.  In 2015 the organization received a record number of submissions with an acceptance rate of only 35%.

The technical program includes the session entitled “Coarse-grained seismic algorithms”, where the paper done in collaboration with the EPHYSLAB Environmental Physics Laboratory of the University of Vigo (Spain) will be presented.

“Democratization of HPC in the Oil & Gas Industry through Automatic Parallelization with Parallware”

Manuel Arenaz, J.M. Dominguez and A.J.C. Crespo

The Oil&Gas industry is an extremely competitive business sector where the return of investment of High Performance Computing (HPC) is well understood. The development of HPC programs is a complex, error-prone, tedious undertaking that impacts negatively in the productivity of HPC developers. In the years to come, due to the retirement of expert engineers, there will be a growing urgency in finding experts skilled in geosciences and computer science. In modern computing systems, parallelism is the primary source of performance gain. Automatic parallelization is the ideal approach to address the productivity gap as it decouples software development from the underlying parallel hardware. This paper shows that the use of modern parallelizing compilers is a step forward in the democratization of HPC as the productivity of HPC developers is improved significantly. The completion time of numerous tedious, complex and error-prone tasks of the HPC workflow is significantly shortened. The experiments demonstrate that Parallware is a step forward in state-of-the-art as it is the first production-state parallelizing compiler that succeeds with full-scale real programs. The HPC code DualSPHysics to simulate the impact of a wave on a petroleum plant is used as case study.