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CryptonightR 2-5% faster
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Tested on gtx pascal cards, and the 750ti
For pascal cards the stable overclock is depending on the memory manufactor.

Samsung can do around +900mhz
miocron +650mhz
Hynix +500mhz
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@sp-hash
sp-hash committed Aug 20, 2019
1 parent 5e8710a commit 74c094d
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Showing 3 changed files with 37 additions and 27 deletions.
6 changes: 3 additions & 3 deletions src/core/Config.cpp
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Expand Up @@ -6,8 +6,8 @@
* Copyright 2016 Jay D Dee <[email protected]>
* Copyright 2017-2018 XMR-Stak <https://github.com/fireice-uk>, <https://github.com/psychocrypt>
* Copyright 2016-2018 XMRig <https://github.com/xmrig>, <[email protected]>
*
* This program is free software: you can redistribute it and/or modify
* Copyright 2019 SP <https://github.com/sp-hash>
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
Expand Down Expand Up @@ -41,7 +41,7 @@
xmrig::Config::Config() : xmrig::CommonConfig(),
m_autoConf(false),
m_shouldSave(false),
m_maxGpuThreads(64),
m_maxGpuThreads(128),
m_maxGpuUsage(100)
{
}
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2 changes: 1 addition & 1 deletion src/core/ConfigLoader_default.h
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Original file line number Diff line number Diff line change
Expand Up @@ -46,7 +46,7 @@ R"===(
"colors": true,
"cuda-bfactor": null,
"cuda-bsleep": null,
"cuda-max-threads": 64,
"cuda-max-threads": 128,
"donate-level": 5,
"log-file": null,
"pools": [
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56 changes: 33 additions & 23 deletions src/nvidia/cuda_extra.cu
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Original file line number Diff line number Diff line change
Expand Up @@ -9,6 +9,7 @@
* Copyright 2018-2019 SChernykh <https://github.com/SChernykh>
* Copyright 2019 Spudz76 <https://github.com/Spudz76>
* Copyright 2016-2019 XMRig <https://github.com/xmrig>, <[email protected]>
* Copyright 2019 SP <https://github.com/sp-hash>
*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
Expand Down Expand Up @@ -117,7 +118,7 @@ __device__ __forceinline__ void mix_and_propagate( uint32_t* state )


template<xmrig::Algo ALGO, xmrig::Variant VARIANT>
__global__ void cryptonight_extra_gpu_prepare(
__launch_bounds__(1024, 1) __global__ void cryptonight_extra_gpu_prepare(
int threads,
uint32_t *__restrict__ d_input,
uint32_t len,
Expand Down Expand Up @@ -202,7 +203,7 @@ __global__ void cryptonight_extra_gpu_prepare(


template<xmrig::Algo ALGO>
__global__ void cryptonight_extra_gpu_final( int threads, uint64_t target, uint32_t* __restrict__ d_res_count, uint32_t * __restrict__ d_res_nonce, uint32_t * __restrict__ d_ctx_state,uint32_t * __restrict__ d_ctx_key2 )
__launch_bounds__(1024,1) __global__ void cryptonight_extra_gpu_final( int threads, uint64_t target, uint32_t* __restrict__ d_res_count, uint32_t * __restrict__ d_res_nonce, uint32_t * __restrict__ d_ctx_state,uint32_t * __restrict__ d_ctx_key2 )
{
const int thread = blockDim.x * blockIdx.x + threadIdx.x;

Expand Down Expand Up @@ -275,7 +276,7 @@ __global__ void cryptonight_extra_gpu_final( int threads, uint64_t target, uint3


template<xmrig::Algo ALGO>
__global__ void cryptonight_gpu_extra_gpu_final( int threads, uint64_t target, uint32_t* __restrict__ d_res_count, uint32_t * __restrict__ d_res_nonce, uint32_t * __restrict__ d_ctx_state,uint32_t * __restrict__ d_ctx_key2 )
__launch_bounds__(1024, 1) __global__ void cryptonight_gpu_extra_gpu_final( int threads, uint64_t target, uint32_t* __restrict__ d_res_count, uint32_t * __restrict__ d_res_nonce, uint32_t * __restrict__ d_ctx_state,uint32_t * __restrict__ d_ctx_key2 )
{
const int thread = blockDim.x * blockIdx.x + threadIdx.x;

Expand Down Expand Up @@ -578,32 +579,40 @@ int cuda_get_deviceinfo(nvid_ctx* ctx, xmrig::Algo algo, bool isCNv2)
ctx->device_pciDomainID = props.pciDomainID;

// set all device option those marked as auto (-1) to a valid value
if (ctx->device_blocks == -1) {
if (ctx->device_blocks == -1)
{
/* good values based of my experience
* - 3 * SMX count >=sm_30
* - 2 * SMX count for <sm_30
*/
ctx->device_blocks = props.multiProcessorCount * (props.major < 3 ? 2 : 3);

// increase bfactor for low end devices to avoid that the miner is killed by the OS
# ifdef _WIN32
if (props.multiProcessorCount <= 6 && ctx->device_bfactor == 6) {
ctx->device_bfactor = 8;
}
# endif
ctx->device_blocks = props.multiProcessorCount * (props.major < 3 ? 2 : 1);
}

if (ctx->device_threads == -1) {
if (ctx->device_threads == -1)
{
/* sm_20 devices can only run 512 threads per cuda block
* `cryptonight_core_gpu_phase1` and `cryptonight_core_gpu_phase3` starts
* `8 * ctx->device_threads` threads per block
*/
ctx->device_threads = 64;
if (props.major < 6)
{
ctx->device_threads = 64;
if ((ctx->device_arch[0] == 5) && ctx->device_arch[1] == 0)
{
ctx->device_threads = 40;
}
}
else
{
ctx->device_threads = 128U;
}

constexpr size_t byteToMiB = 1024u * 1024u;

// no limit by default 1TiB
size_t maxMemUsage = byteToMiB * byteToMiB;
if (props.major == 6) {
/*if (props.major == 6)
{
if (props.multiProcessorCount < 15) {
// limit memory usage for GPUs for pascal < GTX1070
maxMemUsage = size_t(2048u) * byteToMiB;
Expand All @@ -613,6 +622,7 @@ int cuda_get_deviceinfo(nvid_ctx* ctx, xmrig::Algo algo, bool isCNv2)
maxMemUsage = size_t(4096u) * byteToMiB;
}
}
*/

if (props.major < 6) {
// limit memory usage for GPUs before pascal
Expand Down Expand Up @@ -657,18 +667,20 @@ int cuda_get_deviceinfo(nvid_ctx* ctx, xmrig::Algo algo, bool isCNv2)
perThread += 50 * 4; // state double buffer
}

const size_t max_intensity = limitedMemory / perThread;
// const size_t max_intensity = limitedMemory / perThread;

ctx->device_threads = max_intensity / ctx->device_blocks;
// ctx->device_threads = max_intensity / ctx->device_blocks;
// use only odd number of threads
ctx->device_threads = ctx->device_threads & 0xFFFFFFFE;
// ctx->device_threads = ctx->device_threads & 0xFFFFFFFE;

if (props.major == 2 && ctx->device_threads > 64) {
if (props.major == 2 && ctx->device_threads > 64)
{
// Fermi gpus only support 512 threads per block (we need start 4 * configured threads)
ctx->device_threads = 64;
}

if (isCNv2 && props.major < 6) {
if (isCNv2 && props.major < 6 && !(props.major== 5 && props.minor==0))
{
// 4 based on my test maybe it must be adjusted later
size_t threads = 4;
// 8 is chosen by checking the occupancy calculator
Expand All @@ -679,9 +691,7 @@ int cuda_get_deviceinfo(nvid_ctx* ctx, xmrig::Algo algo, bool isCNv2)
ctx->device_blocks = blockOptimal;
}
}

}

}
return 0;
}

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