| 48 | |
| 49 | template<class T> |
| 50 | void tune_sort(const std::vector<T>& data, |
| 51 | const size_t trials, |
| 52 | compute::command_queue& queue) |
| 53 | { |
| 54 | boost::shared_ptr<compute::detail::parameter_cache> |
| 55 | params = compute::detail::parameter_cache::get_global_cache(queue.get_device()); |
| 56 | |
| 57 | const std::string cache_key = |
| 58 | std::string("__boost_radix_sort_") + compute::type_name<T>(); |
| 59 | |
| 60 | const compute::uint_ tpbs[] = { 32, 64, 128, 256, 512, 1024 }; |
| 61 | |
| 62 | double min_time = (std::numeric_limits<double>::max)(); |
| 63 | compute::uint_ best_tpb = 0; |
| 64 | |
| 65 | for(size_t i = 0; i < sizeof(tpbs) / sizeof(*tpbs); i++){ |
| 66 | params->set(cache_key, "tpb", tpbs[i]); |
| 67 | |
| 68 | try { |
| 69 | const double t = perf_sort(data, trials, queue); |
| 70 | if(t < min_time){ |
| 71 | best_tpb = tpbs[i]; |
| 72 | min_time = t; |
| 73 | } |
| 74 | } |
| 75 | catch(compute::opencl_error&){ |
| 76 | // invalid work group size for this device, skip |
| 77 | } |
| 78 | } |
| 79 | |
| 80 | // store optimal parameters |
| 81 | params->set(cache_key, "tpb", best_tpb); |
| 82 | } |
| 83 | |
| 84 | int main(int argc, char *argv[]) |
| 85 | { |
no test coverage detected