From: Marek Olšák <marek.ol...@amd.com>
This makes piglit 16% faster, because 1 thread per core uses only 85%
of the CPU. I don't know why the CPU is idle at times, but I guess it's
due to waiting for fences.
---
framework/profile.py | 2 +-
1 file changed, 1 insertion(+), 1 deletion(-)
diff --git a/framework/profile.py b/framework/profile.py
index 94efd0a..61eabd0 100644
--- a/framework/profile.py
+++ b/framework/profile.py
@@ -423,21 +423,21 @@ def run(profiles, logger, backend, concurrency):
# pool
run_threads(single, profile, test_list,
lambda x: not x[1].run_concurrent)
profile.teardown()
# Multiprocessing.dummy is a wrapper around Threading that provides a
# multiprocessing compatible API
#
# The default value of pool is the number of virtual processor cores
single = multiprocessing.dummy.Pool(1)
- multi = multiprocessing.dummy.Pool()
+ multi = multiprocessing.dummy.Pool(multiprocessing.cpu_count() * 2)
try:
for p in profiles:
run_profile(*p)
for pool in [single, multi]:
pool.close()
pool.join()
finally:
log.get().summary()
--
2.7.4
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