A comprehensive survey of industry practice in real-time systems
This paper presents results and observations from a survey of 120 industry practitioners in
the field of real-time embedded systems. The survey provides insights into the …
the field of real-time embedded systems. The survey provides insights into the …
Bio-inspired computation for big data fusion, storage, processing, learning and visualization: state of the art and future directions
This overview gravitates on research achievements that have recently emerged from the
confluence between Big Data technologies and bio-inspired computation. A manifold of …
confluence between Big Data technologies and bio-inspired computation. A manifold of …
An empirical survey-based study into industry practice in real-time systems
This paper presents results and observations from a survey of 120 industry practitioners in
the field of real-time embedded systems. The survey provides insights into the …
the field of real-time embedded systems. The survey provides insights into the …
CPS-based smart warehouse for industry 4.0: A survey of the underlying technologies
This paper discusses how the state-of-the-art techniques in cyber-physical systems facilitate
building smart warehouses to achieve the promising vision of industry 4.0. We focus on four …
building smart warehouses to achieve the promising vision of industry 4.0. We focus on four …
[PDF][PDF] Vicuna: A timing-predictable RISC-V vector coprocessor for scalable parallel computation
M Platzer, P Puschner - 33rd euromicro conference on real-time …, 2021 - drops.dagstuhl.de
In this work, we present Vicuna, a timing-predictable vector coprocessor. A vector processor
can be scaled to satisfy the performance requirements of massively parallel computation …
can be scaled to satisfy the performance requirements of massively parallel computation …
Security-aware task scheduling with deadline constraints on heterogeneous hybrid clouds
Hybrid cloud is a cost-effective way to address the problem of insufficient resources for
satisfying its users' requirements in a private cloud by elastically scaling up or down its …
satisfying its users' requirements in a private cloud by elastically scaling up or down its …
A Comprehensive Survey on Resource management in 6G network based on internet of things
The transition to 6th Generation (6G) cellular networks offers significant improvements over
5th Generation (5G), enhancing data transfer, reducing latency, and improving network …
5th Generation (5G), enhancing data transfer, reducing latency, and improving network …
Neural network-based performance prediction for task migration on s-nuca many-cores
The performance of a task running on a many-core with distributed shared last-level cache
(LLC) strongly depends on two parameters: the power budget needed to guarantee …
(LLC) strongly depends on two parameters: the power budget needed to guarantee …
iHPSA: An improved bio-inspired hybrid optimization algorithm for task map** in Network on Chip
Abstract System on a chip (SoC) is the leading technology in the recent global world of
digitization. The classical bus-based regular communication infrastructures of SoCs cannot …
digitization. The classical bus-based regular communication infrastructures of SoCs cannot …
Energy-efficient run-time map** and thread partitioning of concurrent OpenCL applications on CPU-GPU MPSoCs
Heterogeneous Multi-Processor Systems-on-Chips (MPSoCs) containing CPU and GPU
cores are typically required to execute applications concurrently. However, as will be shown …
cores are typically required to execute applications concurrently. However, as will be shown …