Heterogeneous memory will be involved in several upcoming platforms on the way to
exascale. Combining technologies such as HBM, DRAM and/or NVDIMM allows to tackle …

Amdahl's Law painted a bleak picture for large-scale computing. The implication was that
parallelism was limited and therefore so was potential speedup. While Amdahl's contribution …

With the computational systems of even embedded devices becoming ever more powerful,
there is a need for more effective and pro-active methods of dynamic power management …

Multithreaded applications facilitate the exploitation of the computing power of multicore
architectures. On the other hand, these applications can become extremely energy …

Scientific computing systems are becoming increasingly complex and indeed are close to
reaching a critical limit in manageability when using current human-in-the-loop techniques …

This article describes the development of a software architectural framework for
implementing compute-aware control systems, where the term “compute-aware” describes …

The growing disparity in data storage and retrieval needs of modern applications is driving
the proliferation of a wide variety of storage systems (eg, key-value stores, cloud storage …

Because CPUs use speed control to conserve energy their response times may be greater
at low loads, than if they were operating at full speed, giving a flatter response curve against …

Nowadays, parallel accelerators have become prominent and ubiquitous, eg, multi-core
CPUs, many-core GPUs (Graphics Processing Units) and Intel Xeon Phi. The performance …