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.
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Sebastian Huber, embedded brains GmbH
Address : D
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
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
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
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.
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Sebastian Huber, embedded brains GmbH
Address : Dornierstr. 4,
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