Parallel Programming Models, Algorithms and Frameworks for Extreme Computing & Big Data 

Kengo Nakajima, The University of Tokyo/RIKEN R-CCS
Takahiro Katagiri, Nagoya University
Weichung Wang, National Taiwan University
Feng-Nan Hwang, National Central University

Extreme scale computing efforts have resulted in numerous advances for multicore, manycore and accelerator based scalable systems. In addition, large-scale applications must increasingly deal with data management and analysis as a first-class concern. Therefore, new applications often have to manage distributed and parallel computing, and have to manage workflows of different tasks (computing, data analytics, machine learning, visualization,…). In this MS, we present some of the latest works in scalable algorithms, programming paradigms, and libraries for next generation computing platforms. Furthermore, we discuss efforts to better incorporate data science concerns as a principle component of our scientific workflows.