mirror of https://github.com/BOINC/boinc.git
115 lines
3.6 KiB
C
115 lines
3.6 KiB
C
// This file is part of BOINC.
|
|
// http://boinc.berkeley.edu
|
|
// Copyright (C) 2008 University of California
|
|
//
|
|
// BOINC is free software; you can redistribute it and/or modify it
|
|
// under the terms of the GNU Lesser General Public License
|
|
// as published by the Free Software Foundation,
|
|
// either version 3 of the License, or (at your option) any later version.
|
|
//
|
|
// BOINC is distributed in the hope that it will be useful,
|
|
// but WITHOUT ANY WARRANTY; without even the implied warranty of
|
|
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.
|
|
// See the GNU Lesser General Public License for more details.
|
|
//
|
|
// You should have received a copy of the GNU Lesser General Public License
|
|
// along with BOINC. If not, see <http://www.gnu.org/licenses/>.
|
|
|
|
#ifndef BOINC_SCHED_CUSTOMIZE_H
|
|
#define BOINC_SCHED_CUSTOMIZE_H
|
|
|
|
#include "boinc_db.h"
|
|
#include "sched_types.h"
|
|
|
|
// Scheduler parameters that may need to modified by the project
|
|
// and their default values.
|
|
//
|
|
// ------ Shared Memory Parameters -----------
|
|
// #define MAX_PLATFORMS 50
|
|
// #define MAX_APPS 10
|
|
// #define MAX_APP_VERSIONS 50
|
|
// #define MAX_ASSIGNMENTS 10
|
|
// #define MAX_WU_RESULTS 100
|
|
//
|
|
// ------ Default Plan Class Parameters --------------
|
|
// #define ATI_MIN_RAM 256*MEGA
|
|
// #define OPENCL_ATI_MIN_RAM 256*MEGA
|
|
// #define CUDA_MIN_RAM 256*MEGA
|
|
// #define CUDAFERMI_MIN_RAM 384*MEGA
|
|
// #define OPENCL_NVIDIA_MIN_RAM 384*MEGA
|
|
// #define OPENCL_INTEL_GPU_MIN_RAM 256*MEGA
|
|
// #define OPENCL_APPLE_GPU_MIN_RAM 256*MEGA
|
|
//
|
|
// #define CUDA_MIN_DRIVER_VERSION 17700
|
|
// #define CUDA23_MIN_CUDA_VERSION 2030
|
|
// #define CUDA23_MIN_DRIVER_VERSION 19038
|
|
// #define CUDA3_MIN_CUDA_VERSION 3000
|
|
// #define CUDA3_MIN_DRIVER_VERSION 19500
|
|
// #define CUDA_OPENCL_MIN_DRIVER_VERSION 19713
|
|
// #define CUDA_OPENCL_101_MIN_DRIVER_VERSION 28013
|
|
//
|
|
|
|
// this keeps track of the project's lowest and highest requirements
|
|
// for a GPU type, so that we can send users an appropriate message
|
|
//
|
|
struct GPU_REQUIREMENTS {
|
|
double min_ram;
|
|
double opt_ram;
|
|
int min_driver_version;
|
|
int opt_driver_version;
|
|
|
|
void clear() {
|
|
min_ram = opt_ram = 0;
|
|
min_driver_version = opt_driver_version = 0;
|
|
}
|
|
void update(int version, double ram) {
|
|
if (min_driver_version) {
|
|
if (version < min_driver_version) {
|
|
min_driver_version = version;
|
|
}
|
|
} else {
|
|
min_driver_version = version;
|
|
}
|
|
if (version > opt_driver_version) {
|
|
opt_driver_version = version;
|
|
}
|
|
if (min_ram) {
|
|
if (ram < min_ram) {
|
|
min_ram = ram;
|
|
}
|
|
} else {
|
|
min_ram = ram;
|
|
}
|
|
if (ram > opt_ram) {
|
|
opt_ram = ram;
|
|
}
|
|
}
|
|
};
|
|
|
|
extern GPU_REQUIREMENTS gpu_requirements[NPROC_TYPES];
|
|
|
|
extern bool wu_is_infeasible_custom(WORKUNIT&, APP&, BEST_APP_VERSION&);
|
|
extern bool app_plan(SCHEDULER_REQUEST&, char* plan_class, HOST_USAGE&, const WORKUNIT* wu);
|
|
extern void handle_file_xfer_results();
|
|
extern bool wu_restricted_plan_class;
|
|
|
|
// Suppose we have a computation that uses two devices alternately.
|
|
// The devices have speeds s1 and s2.
|
|
// The fraction of work done on device 1 is frac.
|
|
//
|
|
// This function returns:
|
|
// 1) the overall speed
|
|
// 2) the utilization of device 1, which is always in (0, 1).
|
|
//
|
|
static inline void coproc_perf(
|
|
double s1, double s2, double frac,
|
|
double& speed, double& u1
|
|
) {
|
|
double y = (frac*s2 + (1-frac)*s1);
|
|
speed = s1*s2/y;
|
|
// do the math
|
|
u1 = frac*s2/y;
|
|
}
|
|
|
|
#endif
|