Energy efficiency in a data center is a challenge and has garnered researchers interest. In
this study, we addressed the energy efficiency issue of a small scale data center by utilizing …

Energy costs represent a significant share of the total cost of ownership in high-performance
computing (HPC) systems. Using a unique data set collected by massive sensor networks in …

This paper presents a survey of architectural features among four generations of Intel server
processors (Sandy Bridge, Ivy Bridge, Haswell, and Broadwell) with a focus on performance …

There is a consensus that exascale systems should operate within a power envelope of
20MW. Consequently, energy conservation is still considered as the most crucial constraint if …

Performance measurement and runtime tuning tools are both vital in the HPC software
ecosystem and use similar techniques: the analyzed application is interrupted at specific …

Recent high performance computing (HPC) systems and supercomputers are built under
strict power budgets and the limitation will be even severer. Thus power control is becoming …

In recent times, the commodity Single Board Computers (SBCs) have now become
sufficiently powerful that they can run standard operating systems and mainstream …

In this paper, we propose an energy‐aware task management mechanism designed for the
forward‐in‐time algorithms running on multicore central processing units (CPUs), where the …

We present a unique approach for integrating research in High Performance Computing
(HPC) as well as photovoltaic (PV) solar farming and battery technologies into a container …

An auto-tuning framework for GPU devices is presented for tuning application kernels of
OpenCL. The GPU tuner employs multi-objective optimization methodology to improve the …