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- client: tweak to 4/21 checkin. 

After finding the "most capable" GPU,
    ignore FLOPS in deciding what GPUs are equivalent to it.
    This opens up the possibility that the client will get jobs
    that it won't be able to finish in time.
    But it still avoids getting jobs that will crash.

svn path=/trunk/boinc/; revision=17875
This commit is contained in:
David Anderson 2009-04-24 10:56:35 +00:00
parent 08aeba56ac
commit 3cb983f1c5
2 changed files with 15 additions and 3 deletions
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11
checkin_notes
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@ -4164,3 +4164,14 @@ David 24 Apr 2009
work_fetch.cpp
html/ops/
team_import.php
David 24 Apr 2009
- client: tweak to 4/21 checkin.
After finding the "most capable" GPU,
ignore FLOPS in deciding what GPUs are equivalent to it.
This opens up the possibility that the client will get jobs
that it won't be able to finish in time.
But it still avoids getting jobs that will crash.
lib/
coproc.cpp

7
lib/coproc.cpp
View File

@ -144,7 +144,7 @@ COPROC* COPROCS::lookup(const char* type) {
// return 1/-1/0 if device 1 is more/less/same capable than device 2
//
int cuda_compare(COPROC_CUDA& c1, COPROC_CUDA& c2) {
int cuda_compare(COPROC_CUDA& c1, COPROC_CUDA& c2, bool ignore_flops) {
if (c1.prop.major > c2.prop.major) return 1;
if (c1.prop.major < c2.prop.major) return -1;
if (c1.prop.minor > c2.prop.minor) return 1;
@ -153,6 +153,7 @@ int cuda_compare(COPROC_CUDA& c1, COPROC_CUDA& c2) {
if (c1.drvVersion < c2.drvVersion) return -1;
if (c1.prop.totalGlobalMem > c2.prop.totalGlobalMem) return 1;
if (c1.prop.totalGlobalMem < c2.prop.totalGlobalMem) return -1;
if (ignore_flops) return 0;
double s1 = c1.flops_estimate();
double s2 = c1.flops_estimate();
if (s1 > s2) return 1;
@ -269,7 +270,7 @@ void COPROC_CUDA::get(COPROCS& coprocs, vector<string>& strings) {
for (i=0; i<gpus.size(); i++) {
if (i==0) {
best = gpus[i];
} else if (cuda_compare(gpus[i], best) > 0) {
} else if (cuda_compare(gpus[i], best, false) > 0) {
best = gpus[i];
}
}
@ -281,7 +282,7 @@ void COPROC_CUDA::get(COPROCS& coprocs, vector<string>& strings) {
for (i=0; i<gpus.size(); i++) {
char buf[256];
cc.description(buf);
if (!cuda_compare(gpus[i], best)) {
if (!cuda_compare(gpus[i], best, true)) {
best.device_nums[best.count] = gpus[i].device_num;
best.count++;
strings.push_back("CUDA device: "+string(buf));