Energy monitoring as an essential building block towards sustainable ultrascale systems
An ultrascale system (USS) joins parallel and distributed computing systems that will be two
to three orders of magnitude larger than today's infrastructure regarding scale, performance …
to three orders of magnitude larger than today's infrastructure regarding scale, performance …
Exploring heterogeneous scheduling for edge computing with CPU and FPGA MPSoCs
This paper presents a framework targeted to low-cost and low-power heterogeneous
MultiProcessors that exploits FPGAs and multicore CPUs, with the overarching goal of …
MultiProcessors that exploits FPGAs and multicore CPUs, with the overarching goal of …
Portability study of an OpenCL algorithm for automatic target detection in hyperspectral images
In the last decades, the problem of target detection has received considerable attention in
remote sensing applications. When this problem is tackled using hyperspectral images with …
remote sensing applications. When this problem is tackled using hyperspectral images with …
Energy efficiency for ultrascale systems: Challenges and trends from nesus project
Energy consumption is one of the main limiting factors for designing and deploying
ultrascale systems. Therefore, this paper presents challenges and trends associated with …
ultrascale systems. Therefore, this paper presents challenges and trends associated with …
Measuring energy consumption using EML (energy measurement library)
Energy consumption and efficiency is a main issue in high performance computing systems
in order to reach exascale computing. Researchers in the field are focusing their effort in …
in order to reach exascale computing. Researchers in the field are focusing their effort in …
[HTML][HTML] Lightweight asynchronous scheduling in heterogeneous reconfigurable systems
The trend for heterogeneous embedded systems is the integration of accelerators and
general-purpose CPU cores on the same die. In these integrated architectures, like the Zynq …
general-purpose CPU cores on the same die. In these integrated architectures, like the Zynq …
Performance–energy trade-offs of deep learning convolution algorithms on ARM processors
In this work, we assess the performance and energy efficiency of high-performance codes
for the convolution operator, based on the direct, explicit/implicit lowering and Winograd …
for the convolution operator, based on the direct, explicit/implicit lowering and Winograd …
Parallel implementation of a full hyperspectral unmixing chain using OpenCL
Spectral unmixing is an important task for remotely sensed hyperspectral data exploitation.
Due to the fact that the spatial resolution of the sensor may not be able to separate different …
Due to the fact that the spatial resolution of the sensor may not be able to separate different …
ARDUPOWER: A low-cost wattmeter to improve energy efficiency of HPC applications
Power measurement is essential for power-/energy-aware performance optimizations in
large-scale HPC systems and applications. A suitable power monitoring solution in such …
large-scale HPC systems and applications. A suitable power monitoring solution in such …
Tools and methods for measuring and tuning the energy efficiency of HPC systems
Energy costs nowadays represent a significant share of the total costs of ownership of High
Performance Computing (HPC) systems. In this paper we provide an overview on different …
Performance Computing (HPC) systems. In this paper we provide an overview on different …