Runtime-overhead benchmarks for dpctl using ASV: object construction, queue caching, USM allocation, device enumeration, kernel bundle compilation, data movement, kernel submission. No compute throughput.
| File | API |
|---|---|
bench_construct.py |
SyclDevice/SyclContext/SyclQueue/SyclPlatform construction, device/queue attribute reads |
bench_queue_cache.py |
get_device_cached_queue for each key kind, vs. an uncached baseline |
bench_usm.py |
MemoryUSM{Device,Host,Shared} alloc/free, aligned alloc, first touch, USM pointer queries |
bench_enumerate.py |
get_devices, get_num_devices, get_platforms, select_*_device, has_*_devices, select_device_with_aspects |
bench_compile.py |
Kernel bundles from SPIR-V / OpenCL C source / SYCL source, kernel lookup, availability probes |
bench_copy.py |
SyclQueue.memcpy/memcpy_async/fill/memset, _Memory.copy_to_host/copy_from_host/copy_from_device |
bench_submit.py |
submit, submit_async, batched submission, submit_barrier, idle wait |
Benchmarks parameterize over the cpu/gpu filter selectors and skip when a
selector has no matching device, so the same benchmark names run on any
node. Sizes over 25% of a device's global_mem_size skip the same way.
benchmarks/__init__.py disables the persistent JIT cache
(SYCL_CACHE_PERSISTENT=0). time_bundle_from_source_cold mints a unique
kernel name per call to defeat the in-memory cache too; _warm reuses one
name to measure the cache-hit path.
create_kernel_bundle_from_source runs on the OpenCL backend only.
create_kernel_bundle_from_sycl_source needs a device where
can_compile("sycl") is true.
pip install ".[benchmark]"
cd benchmarks && asv machine --yes && asv run --python=same --quick HEAD^!One module: asv run --python=same --quick --bench bench_compile HEAD^!
Compare commits: asv continuous --python=same HEAD~1 HEAD
View results: asv publish && asv preview