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 …

Simplifying programming and load balancing of data parallel applications on heterogeneous systems

B Pérez, JL Bosque, R Beivide - … of the 9th Annual Workshop on General …, 2016 - dl.acm.org
Heterogeneous architectures have experienced a great development thanks to their
excellent cost/performance ratio and low power consumption. But heterogeneity significantly …

[HTML][HTML] Sigmoid: An auto-tuned load balancing algorithm for heterogeneous systems

B Pérez, E Stafford, JL Bosque, R Beivide - Journal of Parallel and …, 2021 - Elsevier
A challenge that heterogeneous system programmers face is leveraging the performance of
all the devices that integrate the system. This paper presents Sigmoid, a new load balancing …

Enginecl: Usability and performance in heterogeneous computing

R Nozal, JL Bosque, R Beivide - Future Generation Computer Systems, 2020 - Elsevier
Heterogeneous systems have become one of the most common architectures today, thanks
to their excellent performance and energy consumption. However, due to their heterogeneity …

Heterogeneous parallel_for template for CPU–GPU chips

A Navarro, F Corbera, A Rodriguez, A Vilches… - International Journal of …, 2019 - Springer
Heterogeneous processors, comprising CPU cores and a GPU, are the de facto standard in
desktop and mobile platforms. In many cases it is worthwhile to exploit both the CPU and …

Adaptive partitioning for irregular applications on heterogeneous CPU-GPU chips

A Vilches, R Asenjo, A Navarro, F Corbera… - Procedia Computer …, 2015 - Elsevier
Commodity processors are comprised of several CPU cores and one integrated GPU. To
fully exploit this type of architectures, one needs to automatically determine how to partition …

Simultaneous multiprocessing in a software-defined heterogeneous FPGA

J Nunez-Yanez, S Amiri, M Hosseinabady… - The Journal of …, 2019 - Springer
Heterogeneous chips that combine CPUs and FPGAs can distribute processing so that the
algorithm tasks are mapped onto the most suitable processing element. New software …

Parallel multiprocessing and scheduling on the heterogeneous Xeon+ FPGA platform

A Rodríguez, A Navarro, R Asenjo, F Corbera… - The Journal of …, 2020 - Springer
Heterogeneous computing that exploits simultaneous co-processing with different device
types has been shown to be effective at both increasing performance and reducing energy …

Classification and disease probability prediction via machine learning programming based on multi-GPU cluster MapReduce system

J Li, Q Chen, B Liu - The Journal of Supercomputing, 2017 - Springer
This paper described the nascent filed of big health data classification and disease
probability prediction based on multi-GPU cluster MapReduce platform. Firstly, we …

Auto-tuned OpenCL kernel co-execution in OmpSs for heterogeneous systems

B Pérez, E Stafford, JL Bosque, R Beivide… - Journal of parallel and …, 2019 - Elsevier
The emergence of heterogeneous systems has been very notable recently. The nodes of the
most powerful computers integrate several compute accelerators, like GPUs. Profiting from …