An ultra-scalable fully-implicit solver is developed for stiff time-dependent problems arising
from the hyperbolic conservation laws in nonhydrostatic atmospheric dynamics. In the …

Brain big data empowered by intelligent analysis provide an unrivalled opportunity to probe
the dynamics of the brain in disorder. A typical example is to identify evolving …

Recent developments in High Level Synthesis tools have attracted software programmers to
accelerate their high-performance computing applications on FPGAs. Even though it has …

Brain data processing has been embracing the big data era driven by the rapid advances of
neuroscience as well as the experimental techniques for recording neuronal activities …

Multiple-point geostatistical (MPS) simulation methods have attracted an enormous amount
of attention in earth and environmental sciences due to their ability to enhance extraction …

Processing streaming big data becomes critical as new diver Internet of Thing applications
begin to emerge. The existing cloud pricing strategy is unfriendly for processing streaming …

风电功率预测技术既是交叉应用学科, 又是众多学科的共性基础性学科. 目前国际最先进水平的
风电预测误差甚至低于3%, 我国还处于追赶期. 从发展趋势来看, 当前数据积累带来的精度提升 …

Load balancing is a widely accepted technique for performance optimization of scientific
applications on parallel architectures. Indeed, balanced applications do not waste processor …

Summary Intel's Xeon Phi combines the parallel processing power of a many‐core
accelerator with the programming ease of CPUs. In this paper, we present a survey of works …

With the impending death of Moore's law, the High Performance Computing (HPC)
community is actively exploring new options to satisfy the never-ending need for faster and …