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A load balance multi-scheduling model for OpenCL kernel tasks in an integrated cluster
Nowadays, embedded systems are comprised of heterogeneous multi-core architectures, ie,
CPUs and GPUs. If the application is mapped to an appropriate processing core, then these …
CPUs and GPUs. If the application is mapped to an appropriate processing core, then these …
A machine learning-based resource-efficient task scheduler for heterogeneous computer systems
Heterogeneous computer systems are becoming mainstream due to their disparate
processing and performance capabilities. These systems consist of different types of …
processing and performance capabilities. These systems consist of different types of …
Offloading accelerator-intensive workloads in cpu-gpu heterogeneous processors
Autonomous vehicular systems require computer vision and intelligent on-board decision
making functionalities that include a mix of sequential and parallel workloads. The execution …
making functionalities that include a mix of sequential and parallel workloads. The execution …
Swarm–Intelligence-Based Task Scheduling for Reliability Optimization of Integrated CPU–GPU Edge Platforms in Cyber–Physical–Social Systems
With the increasing demand for low power and high performance, central processing unit–
graphic processing unit (CPU–GPU) heterogeneous multiprocessor systems-on-chip …
graphic processing unit (CPU–GPU) heterogeneous multiprocessor systems-on-chip …
Reinforcement learning methods based on GPU accelerated industrial control hardware
Reinforcement learning is a promising approach for manufacturing processes. Process
knowledge can be gained automatically, and autonomous tuning of control is possible …
knowledge can be gained automatically, and autonomous tuning of control is possible …
Scheduling real-time template-tasks on manycores heterogeneous platforms
Recent broadband cellular network technology requires to guarantee respect for timing
constraints to ensure the required Quality of Service (QoS) and improve user experience …
constraints to ensure the required Quality of Service (QoS) and improve user experience …
Simulation and analysis of in-orbit applications under radiation effects on COTS platforms
Radiation effects research is crucial as it defines risk to both human bodies and spacecraft.
Employing radiation-hardened products is one way to mitigate radiation effects on in-orbit …
Employing radiation-hardened products is one way to mitigate radiation effects on in-orbit …
Scheduling and Response-time Analysis of Multicore and Multi-GPU Heterogeneous Systems
In this paper, we introduce a novel scheduling approach tailored for real-time tasks
executing on heterogeneous computing platforms, which encompass both multi-core …
executing on heterogeneous computing platforms, which encompass both multi-core …
A trade-off between computing power and energy consumption of on-board data processing in GPU accelerated in-orbit space systems
In the space community, technological advances make it possible to work on a new
challenge for on-orbit activities1) including in-orbit servicing and in-situ experiments. On …
challenge for on-orbit activities1) including in-orbit servicing and in-situ experiments. On …
[PDF][PDF] A Load-Balanced Task Scheduler for Heterogeneous Systems based on Machine Learning
A Hayat - 2021 - researchgate.net
The homogeneous system consists of the similar type of multiple processors, whereas the
heterogeneous system is equipped with a different type of multiple processes, ie Central …
heterogeneous system is equipped with a different type of multiple processes, ie Central …