def _compute_defaults():
"""Compute default config options based on memory.
The goal is to work reasonably on machines with
about 60GB of memory, like Amazon's c4.8xlarge (36 CPUs, 60GB)
or c5.9xlarge (36 CPUs, 72GB) or m4.4xlarge (16 CPUs, 64 GB).
Based on some experiments, we set up defaults for different
machine sizes based on memory, with an eye towards
having reasonable runtimes as well.
Experiments on memory usage:
suite parallelism usage
Xmx memlimit
ee-test-parallel 4GB 8 5GB 33GB
ee-test-parallel 4GB 16 7GB 37GB
ee-test-serial 4GB - 5GB 18GB
cluster-test 4GB - - 13GB
be-test 4GB - 10GB 19GB
fe-test 4GB - 10GB 9GB
"""
total_memory_gb = monitor.total_memory()
cpus = multiprocessing.cpu_count()
logging.info("CPUs: %s Memory (GB): %s", cpus, total_memory_gb)
parallel_test_concurrency = min(cpus, 8)
memlimit_gb = 8
if total_memory_gb >= 140:
suite_concurrency = 6
memlimit_gb = 11
parallel_test_concurrency = min(cpus, 12)
elif total_memory_gb >= 95:
suite_concurrency = 4
memlimit_gb = 11
parallel_test_concurrency = min(cpus, 12)
elif total_memory_gb >= 65:
suite_concurrency = 3
elif total_memory_gb >= 35:
suite_concurrency = 2
else:
logging.warning(
"This tool should be run on a machine with more memory.")
suite_concurrency = 1
return parallel_test_concurrency, suite_concurrency, memlimit_gb * 1024 * 1024 * 1024
def _compute_defaults():
"""Compute default config options based on memory.
The goal is to work reasonably on machines with
about 60GB of memory, like Amazon's c4.8xlarge (36 CPUs, 60GB)
or c5.9xlarge (36 CPUs, 72GB) or m4.4xlarge (16 CPUs, 64 GB).
Based on some experiments, we set up defaults for different
machine sizes based on memory, with an eye towards
having reasonable runtimes as well.
Experiments on memory usage:
suite parallelism usage
Xmx memlimit
ee-test-parallel 4GB 8 5GB 33GB
ee-test-parallel 4GB 16 7GB 37GB
ee-test-serial 4GB - 5GB 18GB
cluster-test 4GB - - 13GB
be-test 4GB - 10GB 19GB
fe-test 4GB - 10GB 9GB
"""
total_memory_gb = monitor.total_memory()
cpus = multiprocessing.cpu_count()
logging.info("CPUs: %s Memory (GB): %s", cpus, total_memory_gb)
parallel_test_concurrency = min(cpus, 8)
memlimit_gb = 8
if total_memory_gb >= 95:
suite_concurrency = 4
memlimit_gb = 11
parallel_test_concurrency = min(cpus, 12)
elif total_memory_gb >= 65:
suite_concurrency = 3
elif total_memory_gb >= 35:
suite_concurrency = 2
else:
logging.warning("This tool should be run on a machine with more memory.")
suite_concurrency = 1
return parallel_test_concurrency, suite_concurrency, memlimit_gb * 1024 * 1024 * 1024
