On energy efficiency and performance evaluation of single board computer based clusters: A hadoop case study
B Qureshi, A Koubâa - Electronics, 2019 - mdpi.com
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 …
this study, we addressed the energy efficiency issue of a small scale data center by utilizing …
An analysis of core-and chip-level architectural features in four generations of intel server processors
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 …
processors (Sandy Bridge, Ivy Bridge, Haswell, and Broadwell) with a focus on performance …
Towards fine-grained dynamic tuning of HPC applications on modern multi-core architectures
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 …
20MW. Consequently, energy conservation is still considered as the most crucial constraint if …
Extending the functionality of score-p through plugins: Interfaces and use cases
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 …
ecosystem and use similar techniques: the analyzed application is interrupted at specific …
Green data analytics of supercomputing from massive sensor networks: Does workload distribution matter?
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 …
computing (HPC) systems. Using a unique data set collected by massive sensor networks in …
Energy‐aware mechanism for stencil‐based MPDATA algorithm with constraints
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 …
forward‐in‐time algorithms running on multicore central processing units (CPUs), where the …
Power capping of cpu-gpu heterogeneous systems using power and performance models
K Tsuzuku, T Endo - … Conference on Smart Cities and Green …, 2015 - ieeexplore.ieee.org
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 …
strict power budgets and the limitation will be even severer. Thus power control is becoming …
The icarus white paper: a scalable, energy-efficient, solar-powered hpc center based on low power gpus
M Geveler, D Ribbrock, D Donner, H Ruelmann… - Euro-Par 2016: Parallel …, 2017 - Springer
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 …
(HPC) as well as photovoltaic (PV) solar farming and battery technologies into a container …
APE: Metrics for understanding application performance efficiency under power caps
As supercomputers continue to grow in size and power consumption, the ability to
understand application run time performance and energy/power usage is of growing …
understand application run time performance and energy/power usage is of growing …
On performance of commodity single board computer-based clusters: A big data perspective
B Qureshi, A Koubaa - … and Applications: Foundations for Smarter Cities …, 2020 - Springer
In recent times, the commodity Single Board Computers (SBCs) have now become
sufficiently powerful that they can run standard operating systems and mainstream …
sufficiently powerful that they can run standard operating systems and mainstream …