Predictive edge computing for time series of industrial IoT and large scale critical infrastructure based on open-source software analytic of big data
E Oyekanlu - 2017 IEEE International Conference on Big Data …, 2017 - ieeexplore.ieee.org
The Industrial Internet of Things (IIoT) is quite different from the general IoT in terms of
latency, bandwidth, cost, security and connectivity. Most existing IoT platforms are designed …
latency, bandwidth, cost, security and connectivity. Most existing IoT platforms are designed …
Cooperative CPU, GPU, and FPGA heterogeneous execution with EngineCL
Heterogeneous systems are the core architecture of most of the high-performance
computing nodes, due to their excellent performance and energy efficiency. However, a key …
computing nodes, due to their excellent performance and energy efficiency. However, a key …
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 …
Hardware acceleration of multibody simulations for real-time embedded applications
AJ Rodríguez, R Pastorino, Á Carro-Lagoa… - Multibody System …, 2021 - Springer
New products in the automotive and aerospace industries must provide increased energy
efficiency and exceed previous performance, safety and reliability. To meet these …
efficiency and exceed previous performance, safety and reliability. To meet these …
[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 …
[HTML][HTML] Efficient heterogeneous matrix profile on a CPU+ High Performance FPGA with integrated HBM
In this work, we study the problem of efficiently executing a state-of-the-art time series
algorithm class–SCAMP–on a heterogeneous platform comprised of CPU+ High …
algorithm class–SCAMP–on a heterogeneous platform comprised of CPU+ High …
Parallel multiprocessing and scheduling on the heterogeneous Xeon+ FPGA platform
Heterogeneous computing that exploits simultaneous co-processing with different device
types has been shown to be effective at both increasing performance and reducing energy …
types has been shown to be effective at both increasing performance and reducing energy …
Workload partitioning strategy for improved parallelism on FPGA-CPU heterogeneous chips
In heterogeneous computing, efficient parallelism can be obtained if every device runs the
same task on a different portion of the data set. This requires designing a scheduler which …
same task on a different portion of the data set. This requires designing a scheduler which …
Fpga-based implementation of the stereo matching algorithm using high-level synthesis
I Firmansyah, Y Yamaguchi - 2021 IEEE 14th International …, 2021 - ieeexplore.ieee.org
Stereo vision finds a wide range of applications in automotive, object detection, robot
navigation, agriculture mapping, and others. Stereo matching is a stereo algorithm targeted …
navigation, agriculture mapping, and others. Stereo matching is a stereo algorithm targeted …
EAAM: Energy-aware application management strategy for FPGA-based IoT-Cloud environments
A Majumder, S Saha, A Chakrabarti - The Journal of Supercomputing, 2020 - Springer
An efficient integration of Internet of Things (IoT) and cloud computing techniques
accelerates the evolution of next-generation smart environments (eg, smart homes …
accelerates the evolution of next-generation smart environments (eg, smart homes …