nvml.dll doesnt exists for 32bit binaries! use nvapi to get infos
seems to have more/different features than NVML... like pstate etc..
This is nvapi r343 : https://developer.nvidia.com/nvapi
Signed-off-by: Tanguy Pruvot <tanguy.pruvot@gmail.com>
There was a different behavior on linux and visual studio
That was making it hard to link functions correctly
That remove some ifdef / extern "C" requirements
note about x86 releases, x86 nvml.dll is not installed on Windows x64!
Based on mwhite73 <marvin.white@gmail.com> implementation
Linked to the api system
Also fix Makefile to support standard c++ files
This prevent nvcc use without device code
Signed-off-by: Tanguy Pruvot <tanguy.pruvot@gmail.com>
possible values :
5000 or :5000 to use port 5000 (local only)
0.0.0.0:5000 to allow connections from the network
127.0.0.1:4068 to only allow local connections (default)
Use -b 0 to disable the API system.
Signed-off-by: Tanguy Pruvot <tanguy.pruvot@gmail.com>
Note: Heavy and Mjollnir are broken on linux (only)...
To check in the next version... 4 hours i try to fix that without
success. djm34 variant seems ok but also make a lot of rejects.
Displayed data is the average of the last 50 scans in the 5 last minutes
Also move cuda common functions in a new file (cuda.cu)
Signed-off-by: Tanguy Pruvot <tanguy.pruvot@gmail.com>
Like cgminer, the value equals to 1 << n
if 0, we keep the default value defined in algo (19 for Xn algos)
19 = 524288 threads per gpu call
GTX 970 and 980 handle a higher number of threads compared to the 750 Ti
Signed-off-by: Tanguy Pruvot <tanguy.pruvot@gmail.com>
echo : 40.056ms -> 39.241ms
cube : 14.490ms -> 13.511ms
cube hash change look like useless (__device__ code in generally inlined)
but the reality proves that cuda documentation is wrong...
tpruvot: fixed dos lines ending in echo,
and used my style for cuda function attributes
curl built from tpruvot/curl-for-windows project with the HTTP_ONLY define
This project doesnt require SSH, LDAP and all the internel protocols ;)
Remove 200KB to the final binaries
Unlike other hash algos, blake256 compute the hash
with blocks of 64 bytes.
We can do the first part on the cpu, only the 4 last int32
are computed on gpu (including the tested nonce)
Previous method was also using this kind of cache with a crc.
Blake Hash Speed: +5%
Tanguy Pruvot