Merge pull request #313 from psychocrypt/topic-deviceSynchronizeMethod

option to controll gpu synchronization
This commit is contained in:
fireice-uk
2017-12-07 21:18:26 +00:00
committed by GitHub
7 changed files with 39 additions and 6 deletions
+1 -1
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@@ -95,7 +95,7 @@ private:
conf += std::string(" { \"index\" : ") + std::to_string(ctx.device_id) + ",\n" +
" \"threads\" : " + std::to_string(ctx.device_threads) + ", \"blocks\" : " + std::to_string(ctx.device_blocks) + ",\n" +
" \"bfactor\" : " + std::to_string(ctx.device_bfactor) + ", \"bsleep\" : " + std::to_string(ctx.device_bsleep) + ",\n" +
" \"affine_to_cpu\" : false,\n" +
" \"affine_to_cpu\" : false, \"sync_mode\" : 3,\n" +
" },\n";
}
}
+9 -1
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@@ -9,6 +9,12 @@ R"===(
* bsleep - Insert a delay of X microseconds between kernel launches.
* Increase if you want to reduce GPU lag. Recommended setting on GUI systems - 100
* affine_to_cpu - This will affine the thread to a CPU. This can make a GPU miner play along nicer with a CPU miner.
* sync_mode - method used to synchronize the device
* documentation: http://docs.nvidia.com/cuda/cuda-runtime-api/group__CUDART__DEVICE.html#group__CUDART__DEVICE_1g69e73c7dda3fc05306ae7c811a690fac
* 0 = cudaDeviceScheduleAuto
* 1 = cudaDeviceScheduleSpin - create a high load on one cpu thread per gpu
* 2 = cudaDeviceScheduleYield
* 3 = cudaDeviceScheduleBlockingSync (default)
*
* On the first run the miner will look at your system and suggest a basic configuration that will work,
* you can try to tweak it from there to get the best performance.
@@ -16,7 +22,9 @@ R"===(
* A filled out configuration should look like this:
* "gpu_threads_conf" :
* [
* { "index" : 0, "threads" : 17, "blocks" : 60, "bfactor" : 0, "bsleep" : 0, "affine_to_cpu" : false},
* { "index" : 0, "threads" : 17, "blocks" : 60, "bfactor" : 0, "bsleep" : 0,
* "affine_to_cpu" : false, "sync_mode" : 3,
* },
* ],
*/
+9 -2
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@@ -123,16 +123,17 @@ bool jconf::GetGPUThreadConfig(size_t id, thd_cfg &cfg)
if(!oThdConf.IsObject())
return false;
const Value *gid, *blocks, *threads, *bfactor, *bsleep, *aff;
const Value *gid, *blocks, *threads, *bfactor, *bsleep, *aff, *syncMode;
gid = GetObjectMember(oThdConf, "index");
blocks = GetObjectMember(oThdConf, "blocks");
threads = GetObjectMember(oThdConf, "threads");
bfactor = GetObjectMember(oThdConf, "bfactor");
bsleep = GetObjectMember(oThdConf, "bsleep");
aff = GetObjectMember(oThdConf, "affine_to_cpu");
syncMode = GetObjectMember(oThdConf, "sync_mode");
if(gid == nullptr || blocks == nullptr || threads == nullptr ||
bfactor == nullptr || bsleep == nullptr || aff == nullptr)
bfactor == nullptr || bsleep == nullptr || aff == nullptr || syncMode == nullptr)
{
return false;
}
@@ -155,11 +156,17 @@ bool jconf::GetGPUThreadConfig(size_t id, thd_cfg &cfg)
if(!aff->IsUint64() && !aff->IsBool())
return false;
if(!syncMode->IsNumber() || syncMode->GetInt() < 0 || syncMode->GetInt() > 3)
{
printer::inst()->print_msg(L0, "Error NVIDIA: sync_mode out of range or no number. ( range: 0 <= sync_mode < 4.)");
return false;
}
cfg.id = gid->GetInt();
cfg.blocks = blocks->GetInt();
cfg.threads = threads->GetInt();
cfg.bfactor = bfactor->GetInt();
cfg.bsleep = bsleep->GetInt();
cfg.syncMode = syncMode->GetInt();
if(aff->IsNumber())
cfg.cpu_aff = aff->GetInt();
+1
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@@ -28,6 +28,7 @@ public:
bool bDoubleMode;
bool bNoPrefetch;
int32_t cpu_aff;
int syncMode;
long long iCpuAff;
};
+1
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@@ -77,6 +77,7 @@ minethd::minethd(miner_work& pWork, size_t iNo, const jconf::thd_cfg& cfg)
ctx.device_threads = (int)cfg.threads;
ctx.device_bfactor = (int)cfg.bfactor;
ctx.device_bsleep = (int)cfg.bsleep;
ctx.syncMode = cfg.syncMode;
this->affinity = cfg.cpu_aff;
std::unique_lock<std::mutex> lck(thd_aff_set);
@@ -11,7 +11,8 @@ typedef struct {
int device_blocks;
int device_threads;
int device_bfactor;
int device_bsleep;
int device_bsleep;
int syncMode;
uint32_t *d_input;
uint32_t inputlen;
+16 -1
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@@ -189,7 +189,22 @@ extern "C" int cryptonight_extra_cpu_init(nvid_ctx* ctx)
}
cudaDeviceReset();
cudaSetDeviceFlags(cudaDeviceScheduleBlockingSync);
switch(ctx->syncMode)
{
case 0:
cudaSetDeviceFlags(cudaDeviceScheduleAuto);
break;
case 1:
cudaSetDeviceFlags(cudaDeviceScheduleSpin);
break;
case 2:
cudaSetDeviceFlags(cudaDeviceScheduleYield);
break;
case 3:
cudaSetDeviceFlags(cudaDeviceScheduleBlockingSync);
break;
};
cudaDeviceSetCacheConfig(cudaFuncCachePreferL1);
size_t hashMemSize;