mirror of https://github.com/BOINC/boinc.git
134 lines
3.7 KiB
C++
134 lines
3.7 KiB
C++
// This file is part of BOINC.
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// http://boinc.berkeley.edu
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// Copyright (C) 2012 University of California
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//
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// BOINC is free software; you can redistribute it and/or modify it
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// under the terms of the GNU Lesser General Public License
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// as published by the Free Software Foundation,
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// either version 3 of the License, or (at your option) any later version.
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//
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// BOINC is distributed in the hope that it will be useful,
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// but WITHOUT ANY WARRANTY; without even the implied warranty of
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// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.
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// See the GNU Lesser General Public License for more details.
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//
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// You should have received a copy of the GNU Lesser General Public License
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// along with BOINC. If not, see <http://www.gnu.org/licenses/>.
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// configurable app plan functions.
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// see https://boinc.berkeley.edu/trac/wiki/AppPlanConfig
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#include <string>
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#include <vector>
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#include <regex.h>
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// if you add anything here, initialize if in the constructor
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//
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struct PLAN_CLASS_SPEC {
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char name[256];
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char gpu_type[256];
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bool cuda;
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bool cal;
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bool opencl;
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bool virtualbox;
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bool is64bit;
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std::vector<std::string> cpu_features;
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double min_ncpus;
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int max_threads;
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double mem_usage_base;
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double mem_usage_per_cpu;
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bool nthreads_cmdline;
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double projected_flops_scale;
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bool have_os_regex;
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regex_t os_regex;
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bool have_cpu_vendor_regex;
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regex_t cpu_vendor_regex;
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bool have_cpu_model_regex;
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regex_t cpu_model_regex;
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double min_os_version;
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// Win versions can be 9 digits; may as well be safe
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double max_os_version;
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int min_android_version;
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int max_android_version;
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char project_prefs_tag[256];
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bool have_project_prefs_regex;
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regex_t project_prefs_regex;
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bool project_prefs_default_true;
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double avg_ncpus;
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int min_core_client_version;
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int max_core_client_version;
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// for non-compute-intensive, or override for GPU apps
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bool have_host_summary_regex;
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regex_t host_summary_regex;
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int user_id;
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double infeasible_random;
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int min_wu_id;
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int max_wu_id;
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int min_batch;
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int max_batch;
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// GPU apps
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//
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double cpu_frac;
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double min_gpu_ram_mb;
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// for older clients that don't report available RAM
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double gpu_ram_used_mb;
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double gpu_peak_flops_scale;
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double ngpus;
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int min_driver_version;
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int max_driver_version;
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char gpu_utilization_tag[256];
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// the project prefs tag for user-supplied gpu_utilization factor
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double min_gpu_peak_flops;
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double max_gpu_peak_flops;
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// AMD/ATI apps
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//
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bool need_ati_libs;
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bool need_amd_libs;
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// need DLLs w/ ATI or AMD name (default: neither)
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int min_cal_target;
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int max_cal_target;
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bool without_opencl; // restrict to CAL only GPUs
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// NVIDIA apps
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//
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int min_nvidia_compcap;
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int max_nvidia_compcap;
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// CUDA apps
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//
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int min_cuda_version;
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int max_cuda_version;
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// OpenCL apps
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//
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int min_opencl_version;
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int max_opencl_version;
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int min_opencl_driver_revision;
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int max_opencl_driver_revision;
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bool double_precision_fp;
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// VirtualBox apps
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//
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int min_vbox_version;
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int max_vbox_version;
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vector<int> exclude_vbox_version;
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bool vm_accel_required;
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int parse(XML_PARSER&);
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bool opencl_check(OPENCL_DEVICE_PROP&);
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bool check(SCHEDULER_REQUEST& sreq, HOST_USAGE& hu, const WORKUNIT* wu);
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PLAN_CLASS_SPEC();
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};
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struct PLAN_CLASS_SPECS {
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std::vector<PLAN_CLASS_SPEC> classes;
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int parse_file(const char*);
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int parse_specs(FILE*);
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bool check(SCHEDULER_REQUEST& sreq, char* plan_class, HOST_USAGE& hu, const WORKUNIT* wu);
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bool wu_is_infeasible(char* plan_class, const WORKUNIT* wu);
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PLAN_CLASS_SPECS(){};
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};
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