Asymmetric multicore processors (AMPs) couple high‐performance big cores and power‐
efficient small ones, all exposing a shared instruction set architecture to software, but with …

The evolution of parallel architectures points to dynamic environments where the number of
available resources or configurations may vary during the execution of applications. This …

In the age of the cloud-native, container technology, referred as OS-level virtualization, is
increasingly adopted to deploy cloud applications. Compared with virtual machines …

The growing need for extracting information from large graphs has been pushing the
development of parallel graph algorithms. However, the highly irregular structure of the real …

The chip multicore processor (CMP) architecture has become the predominant design
choice for contemporary general-purpose systems across multiple sectors of commercial …

Modern parallel platforms, such as clouds or servers, are often shared among many different
jobs. However, existing parallel programming runtime systems are designed and optimized …

Apache Spark as a popular in-memory data analytic framework has been employed by
various applications—such as machine learning, graph computation, and scientific …

Asymmetric multicore processors (AMPs) couple high-performance big cores and low-power
small cores with the same instruction-set architecture but different features, such as clock …

Predicting the performance of parallel loops on modern shared-memory multi-socket multi-
core systems in dependence of the allocated resources is an important means to achieve …

Thread‐level parallelism (TLP) has been widely exploited to optimize computational
resource usage in high‐performance systems. However, as many applications do not scale …