Compute intensive kernels make up the majority of execution time in HPC applications.
Therefore, many of the power draw and energy consumption traits of HPC applications can …

Nowadays, GPU accelerators are commonly used to speed up general-purpose computing
tasks on a variety of hardware. However, due to the diversity of GPU architectures and …

The power wall has become a dominant impeding factor in the realm of exascale system
design. It is therefore important to understand how to most effectively create software to …

With the advent of technology scaling and the increased use of high performance multi-
cores in life-critical applications, reliability has become an increasingly pressing issue. High …

In recent years, single-ISA heterogeneous chip multiprocessors (CMP) consisting of big high-
performance cores and small power-saving cores on the same die have been proposed for …

Temperature issues have become a first-order concern for modern computing systems.
There are several approaches for dynamic thermal management, including reacting based …

With core counts as well as heterogeneity on the rise, the sequential components of
applications are becoming the major bottleneck in performance scaling as predicted by …

Power management in large-scale computational environments can significantly benefit
from predictive models. Such models provide information about the power consumption …

Using profiling tools is a common way to understand computer systems and software and to
achieve the best performance. Profiling becomes more important as computing technology …

Helper thread prefetching can improve performance of irregular data-intensive applications.
However, helper thread prefetching quality depends on the values of control parameters …