Re: Partitioned scheduling issue on Raspberry Pi 2

2019-11-04 Thread Sebastian Huber
On 04/11/2019 11:33, Ebenezer wrote: Hello Sebastian I have modified my code as per your suggestion and it works now. Thank you very much. Thanks for the update. I think we should add a run-time check to detect such configuration errors. -- Sebastian Huber, embedded brains GmbH Address : D

Re: Partitioned scheduling issue on Raspberry Pi 2

2019-11-04 Thread Ebenezer
Hello Sebastian I have modified my code as per your suggestion and it works now. Thank you very much. Best regards Ebenezer On Mon, 28 Oct 2019 at 13:39, Sebastian Huber wrote: > > On 28/10/2019 13:25, Ebenezer wrote: > > Thanks for your reply. I have attached the program that fails with > > pa

Re: Partitioned scheduling issue on Raspberry Pi 2

2019-10-28 Thread Sebastian Huber
On 28/10/2019 13:25, Ebenezer wrote: Thanks for your reply. I have attached the program that fails with partitioned EDF_SMP configuration. RTEMS_SCHEDULER_EDF_SMP(sch0, 1); RTEMS_SCHEDULER_EDF_SMP(sch1, 1); RTEMS_SCHEDULER_EDF_SMP(sch2, 1); RTEMS_SCHEDULER_EDF_SMP(sch3, 1); This configuration

Re: Partitioned scheduling issue on Raspberry Pi 2

2019-10-28 Thread Ebenezer
Thanks for your reply. I have attached the program that fails with partitioned EDF_SMP configuration. I will try RTEMS_SCHEDULER_EDF_SMP(name,CONFIGURE_MAXIMUM_PROCESSORS) on all the four scheduler instances and see if that works. Best regards Ebenezer On Mon, 28 Oct 2019 at 07:12, Sebastian Hub

Re: Partitioned scheduling issue on Raspberry Pi 2

2019-10-27 Thread Sebastian Huber
Hello Ebenezer, a self-contained example program which reproduces this issue would be helpful. In the RTEMS_SCHEDULER_EDF_SMP(name, max_cpu_count) configuration define, the max_cpu_count must be CONFIGURE_MAXIMUM_PROCESSORS. -- Sebastian Huber, embedded brains GmbH Address : Dornierstr. 4,

Partitioned scheduling issue on Raspberry Pi 2

2019-10-25 Thread Ebenezer
Hello everyone I am facing some issues while using partitioned scheduling on RaspberryPi2. I want to run one scheduler instance on each core (ie. 4 Scheduler instances in total). I can configure and run PRIORITY_AFFINITY_SMP, PRIORITY_SMP and SIMPLE_SMP scheduler algorithms into partitions/cluste