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Author	SHA1	Message	Date
Andrew Boie	8dec1beffe	samples: pi: fix sample.yaml Whitelists are bad; configuration filters scale much better. Signed-off-by: Andrew Boie <andrew.p.boie@intel.com>	2020-02-21 07:45:04 +02:00
Anas Nashif	70758c4374	tests: fix test identifiers The seasonal overhaul of test identifiers aligning the terms being used and creating a structure. This is hopefully the last time we do this, plan is to document the identifiers and enforce syntax. The end-goal is to be able to generate a testsuite description from the existing tests and sync it frequently with the testsuite in Testrail. Signed-off-by: Anas Nashif <anas.nashif@intel.com>	2019-12-09 15:53:44 -05:00
Alexey Brodkin	7c3498dc43	Samples: Add SMP Pi This sample showcases efficient utilization of SMP system with processing of independent resource-hungry workloads. With no cross-dependencies between workers and no usage of shared resources (during heavy-lifting itself) we may demonstrate almost linear scaling of efficiency. I.e. 2 cores do the same amount of calculations twice faster than only 1 core. 4 cores complete the same calculations 2 times faster than 2 cores. Signed-off-by: Alexey Brodkin <abrodkin@synopsys.com>	2019-11-03 12:41:29 +01:00

Author

SHA1

Message

Date

Andrew Boie

8dec1beffe

samples: pi: fix sample.yaml

Whitelists are bad; configuration filters scale much better.

Signed-off-by: Andrew Boie <andrew.p.boie@intel.com>

2020-02-21 07:45:04 +02:00

Anas Nashif

70758c4374

tests: fix test identifiers

The seasonal overhaul of test identifiers aligning the terms being used
and creating a structure. This is hopefully the last time we do this,
plan is to document the identifiers and enforce syntax.

The end-goal is to be able to generate a testsuite description from the
existing tests and sync it frequently with the testsuite in Testrail.

Signed-off-by: Anas Nashif <anas.nashif@intel.com>

2019-12-09 15:53:44 -05:00

Alexey Brodkin

7c3498dc43

Samples: Add SMP Pi

This sample showcases efficient utilization of SMP system
with processing of independent resource-hungry workloads.

With no cross-dependencies between workers and no usage of shared
resources (during heavy-lifting itself) we may demonstrate almost
linear scaling of efficiency. I.e. 2 cores do the same amount of
calculations twice faster than only 1 core. 4 cores complete
the same calculations 2 times faster than 2 cores.

Signed-off-by: Alexey Brodkin <abrodkin@synopsys.com>

2019-11-03 12:41:29 +01:00

3 commits