Operating systems (3rd ed.): internals and design principles
Operating systems (3rd ed.): internals and design principles
Handbook of Applied Cryptography
Handbook of Applied Cryptography
Preemptive Multitasking on FPGAs
FCCM '00 Proceedings of the 2000 IEEE Symposium on Field-Programmable Custom Computing Machines
Task scheduling for heterogeneous reconfigurable computers
SBCCI '04 Proceedings of the 17th symposium on Integrated circuits and system design
DATE '03 Proceedings of the conference on Design, Automation and Test in Europe - Volume 1
Dynamic online reconfiguration for customizable and self-optimizing operating systems
Proceedings of the 5th ACM international conference on Embedded software
Adaptive Allocation of Software and Hardware Real-Time Tasks for FPGA-based Embedded Systems
RTAS '06 Proceedings of the 12th IEEE Real-Time and Embedded Technology and Applications Symposium
| Hi-index | 0.00 |
Reconfiguration-based architectures are increasingly gaining attention of designers due to their benefits of flexibility, re-programmability and high computational performance. The combination of general purpose processors and reconfigurable fabrics (e.g., FPGAs), may provide those valuable characteristics, which are becoming essential for modern and future embedded systems. Such hybrid systems permit the existence of hardware tasks, which shall be properly managed by the operating system, thus allowing for their coexistence with software tasks. Nevertheless, in order to completely exploit this feature, the operating system must be capable of relocating a task between hardware and software execution domains. Runtime relocation of tasks (including preemption and resumption) between two devices following different computation paradigms (parallel vs. instruction based) however is a challenging job. In this work we propose a comprehensive and embracing methodology, which starts from a unified task representation, and goes to the final implementation of such hybrid tasks. For its accomplishment, a framework is proposed to help the user in designing a hybrid task, which also generates automatically the underlying infrastructure that is in charge of performing the dynamic relocation of a hybrid task. In order to prove the applicability of our concept and the efficiency of our framework, a case study is presented including its results.