Efficient on-line hardware/software task scheduling for dynamic run-time reconfigurable systems


Al-Wattar A., Areibi S., Saffih F.

2012 IEEE 26th International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2012, Shanghai, Çin, 21 - 25 Mayıs 2012, ss.401-406 identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Doi Numarası: 10.1109/ipdpsw.2012.50
  • Basıldığı Şehir: Shanghai
  • Basıldığı Ülke: Çin
  • Sayfa Sayıları: ss.401-406
  • Anahtar Kelimeler: Hardware OS, Hardware tasks, Partial Reconfiguration, Reconfigurable Computing, Reconfigurable OS, Scheduling, Task Migration
  • İstanbul Gelişim Üniversitesi Adresli: Hayır

Özet

Modern reconfigurable devices such as FPGAs can be reconfigured at run time. Some of them can be dynamically partially reconfigured, which means part of the FPGA is changed without interrupting other parts. This feature adds tremendous flexibility to the Reconfigurable Computing (RC) Field but also introduces challenges. Reconfigurable Operating Systems tend to ease applications development and most importantly applications verifications and maintenance. In this paper we propose novel scheduling algorithms for reconfigurable computing that can handle both hardware and software tasks. The algorithms proposed reuse hardware tasks to reduce reconfiguration overhead, migrate tasks between software/hardware, and give priority to hardware tasks. Results obtained indicate that adding a software processor element not only adds flexibility, but also increases system performance. Two on-line schedulers were designed and implemented. RCSched-I is a simple based implementation that nominates the first available free Partial Reconfigurable Region (PRR) for new tasks. RCSched-II on the other hand nominates any free PRR. Both schedulers check the nominated PRR(s) against the ready task for a match, then decide if there is a need for reconfiguration or not. RCSched-II reconfigures the least recently configured PRR, which increases hardware tasks reuse and decreases total processing time. © 2012 IEEE.