The breathtaking progress in both computer technologies and advanced methods to effectively and efficiently exploit them opens the door for a completely “new kind of science” at the beginning of the 21st century. This paradigm change has been brought about by two waves of innovations. The first wave primarily focused on High Performance Computing (HPC). Simulations and optimizations enable breakthroughs in the fundamental understanding or improvement of processes and systems in various domains of science and engineering. The second wave, which started later, aims at the comprehensive modeling of natural science, engineering, and societal phenomena in a data-driven way, with an even broader impact, also reaching the social sciences and humanities. Data sets from observations, experiments, simulations, imaging, digitization, or social networks as well as business or patient data are collected, processed, and analyzed.
The fusion of HPC and Big Data is a new, emerging field with an endless number of applications and an enormous game changer potential. This Long Program aims at being a catalyst at this frontier of science by bringing together leading innovators and pioneers from applied mathematics (scientific computing, optimization, data analytics, statistics etc.), computer science (HPC, data engineering, data analytics, visualization, imaging etc.), and various applications areas.
Hans-Joachim Bungartz (Technical University Munich (TUM), Computer Science)
Emmanuel Candes (Stanford University, Applied and Computational Mathematics)
Claudia Draxl (Humboldt-Universität)
Jeffrey Hittinger (Lawrence Livermore National Laboratory, Center for Applied Scientific Computing)
Frank Jenko (Max Planck Institute for Plasma Physics and UCLA, Physics and Astronomy)
David Keyes (King Abdullah Univ. of Science and Technology (KAUST), Applied Mathematics and HPC)
Alan Lee (AMD)
Tandy Warnow (University of Illinois at Urbana-Champaign, Computer Sciences)