The increasing complexity of HPC systems has introduced new sources of variability, which
can contribute to significant differences in run-to-run performance of applications. With …

Modern HPC platforms have become highly heterogeneous owing to tight integration of
multicore CPUs and accelerators (such as Graphics Processing Units, Intel Xeon Phis, or …

Performance variance is a serious problem for parallel applications, which can cause
performance degradation and make applications' behavior hard to understand. Therefore …

Data partitioning algorithms aiming to minimize the execution time and the energy of
computations in self-adaptable data-parallel applications on modern extreme-scale …

The radiation damage effect of key structural materials is one of the main research subjects
of the numerical reactor. From the perspective of experimental safety and feasibility …

For parallel applications, performance variance is a critical issue that can degrade
performance and make applications' behavior difficult to explain. Therefore, users and …

Embedded systems have seen a rapid integration into all forms of industry as they continue
to shrink in size and cost. The increased demand has highlighted a need for secure systems …

针对并发程序中锁的不当使用可能导致性能瓶颈的问题, 提出检测和优化并发程序中同步瓶颈的
方法IdeSync. IdeSync 使用静态分析方法获取同步方法和同步块, 构建静态同步依赖图 …

Performance variability, stemming from non-deterministic hardware and software behaviors
or deterministic behaviors such as measurement bias, is a well-known phenomenon of …

Heterogeneity has turned into one of the most profound and challenging characteristics of
today's HPC environments. Modern HPC platforms have become highly heterogeneous …