You should try the new application v1.28 (you have now run v1.24) which is considerably faster on Nvidia GPUs. You may need to update the GPU driver as you need at least OpenCL 2.0 support for that new application.
You should try the new application v1.28 (you have now run v1.24) which is considerably faster on Nvidia GPUs. You may need to update the GPU driver as you need at least OpenCL 2.0 support for that new application.
720sec @ 1515MHz
Indeed.
GPU load has increased from jumping 30-45% to stable 46%
Thank You.
So except Universe, performance is less or more similar.
TL;DR, Linux is still a tad faster for NV computation vs Windows. maybe ~5%. but you really have to make sure you compare systems that are actually comparable and ideally the SAME system back to back.
different CPUs can have an impact to computation time especially for GW tasks which have a heavy reliance on CPU speed, but it can even matter with FGRPB1G too.
different hosts with the same GPU can have wildly different times based on multiplicity (mainly on AMD), or if differences in applied overclock (or even default clocks, but different temps resulting in different boost clocks) and/or enforced power limits.
drivers can have an impact, but this is more often than not negligible. rarely do you see significant changes just from the driver. It happens occasionally when a new driver might be slow, but not often, and often subsequent drivers fix whatever caused the slowdown.
it's not as simple as "look at the leaderboard and see X system with Y GPU on Windows v.s Linux" if you don't know the specifics of the setup and environment that each system is running. There are a lot of variables that each might have a small impact but can add up to a significant difference.
GPU load can be reduced by adding some code into the clFlush(). On my system nothing gets any faster -- the tasks slow down a bit. On a different system results may be different.
Here is a screenshot showing 7 tasks per GPU on a 12 ht core system with 4 GPUs.
Here some result on GRP#1
GTX 780 Ti 3GB vram with identical GPU tuning in win10 and Linux
CPU i7-4820K CPU @ 3.70GHz no tuning, no CPU tasks
Win10p (sample of 9):
Gamma-ray pulsar binary search #1 on GPUs v1.22 () windows_x86_64
average runtime ~4900s/3WU, 52-53 WU/day or around 183k credit/day
30 Watt less on the wall :)
Linux OpenSUSE 15.3:
Gamma-ray pulsar binary search #1 on GPUs v1.20 () x86_64-pc-linux-gnu
average runtime ~5100s/3WU, 50-51 WU/day around 176k credit/day
When I run GRP#1 v1.22(Win)vs v1.20(Lin) Win clearly performs better with more WU/day on a lower wattage.
Gravitational Wave search O3 All-Sky #1 v1.01 can run me 190k+ credits/day on linux on a higher wattage and hotter card. GRP#1 wins on running cooler while producing less noise too.
Last time there was outage of
)
Last time there was outage of PG WW-Sun so my hosts have stared Einstein Gamma-ray pulsar binary search.
Newly bought laptop (ryzen 4600H with Ubuntu) with Nvidia 1650 (896CUDA @50W @ ~ 1750MHz) finished tasks in ~ 750sec
while my desktop (Ryzen 3900@3500Mhz with Win10) with NVidia 1650super (1280CUDA @0,7V @ 1530MHz) finished tasks in ~ 1200sec.
That was odd so I installed Linux Mint on additional HDD and set GPU clocks to 1530MHz - tasks finishes in 680 sec.
With clocks @ 1930MHz times decreased to ~600 sec
Same time above mentioned laptop has same times ~ 750sec.
On revert to Windows times jumped again to 1200 sec.
@ 1930Mhz times for Win are ~ 1000sec.
If someone see mistake from my side please write. I don't see any other explanation that Linux is significantly faster than Windows
You should try the new
)
You should try the new application v1.28 (you have now run v1.24) which is considerably faster on Nvidia GPUs. You may need to update the GPU driver as you need at least OpenCL 2.0 support for that new application.
Just an idea: ... hope you
)
Just an idea:
... hope you are using same GPU driver version on each test run
and/or
same speed type of SSDs ...
Have a nice day!
Harri Liljeroos wrote: You
)
720sec @ 1515MHz
Indeed.
GPU load has increased from jumping 30-45% to stable 46%
Thank You.
So except Universe, performance is less or more similar.
TL;DR, Linux is still a tad
)
TL;DR, Linux is still a tad faster for NV computation vs Windows. maybe ~5%. but you really have to make sure you compare systems that are actually comparable and ideally the SAME system back to back.
different CPUs can have an impact to computation time especially for GW tasks which have a heavy reliance on CPU speed, but it can even matter with FGRPB1G too.
different hosts with the same GPU can have wildly different times based on multiplicity (mainly on AMD), or if differences in applied overclock (or even default clocks, but different temps resulting in different boost clocks) and/or enforced power limits.
drivers can have an impact, but this is more often than not negligible. rarely do you see significant changes just from the driver. It happens occasionally when a new driver might be slow, but not often, and often subsequent drivers fix whatever caused the slowdown.
it's not as simple as "look at the leaderboard and see X system with Y GPU on Windows v.s Linux" if you don't know the specifics of the setup and environment that each system is running. There are a lot of variables that each might have a small impact but can add up to a significant difference.
_________________________________________________________________________
Hi! GPU load can be
)
Hi!
GPU load can be reduced by adding some code into the clFlush(). On my system nothing gets any faster -- the tasks slow down a bit. On a different system results may be different.
Here is a screenshot showing 7 tasks per GPU on a 12 ht core system with 4 GPUs.
12 ht core i7 and 4 NVIDIA GPUs
The code will be given to Ian & Steve to test with when I have time to add support for environment variables for tunig.
On Sunday it is Father's day in Finland. I will not be near a computer neither on line.
looking forward to trying it
)
looking forward to trying it out Petri!
_________________________________________________________________________
Hi, Just another post to
)
Hi,
Just another post to add and maybe read back later.
250W gtx 780 ti 3gb vram with identical GPU tuning in win10 and Lin, not counting for invalids/errors.
Win10p (sample only 8 WU):
Gravitational Wave search O3 All-Sky #1 v1.01 () windows_x86_64
average runtime 1289s/2WU around 134k credit/day
Linux OpenSUSE 15.3:
Gravitational Wave search O3 All-Sky #1 v1.01 () x86_64-pc-linux-gnu
average runtime ~900s/2WU around 192k credit/day
running even 1 CPU task slows down GPU tasks on linux with 10-15%
didn't even try running CPU tasks on Win10 after seeing the first GPU runtimes
CPU i7-4820K CPU @ 3.70GHz no tuning in Linux:
Gamma-ray pulsar search #5 v1.08 () x86_64-pc-linux-gnu
average 41597s/4WU around 5757 credit/day (YAY)
some time ago, with another app, Win closely won over Lin on the same machine.
(Didn't get a 1660 ti or RX 570 since then with all them i-buy-40+GPU-atta-time-miners around and now pandemic shortages on top...)
Some more NV Win vs
)
Some more NV Win vs Lin,
Here some result on GRP#1
GTX 780 Ti 3GB vram with identical GPU tuning in win10 and Linux
CPU i7-4820K CPU @ 3.70GHz no tuning, no CPU tasks
Win10p (sample of 9):
Gamma-ray pulsar binary search #1 on GPUs v1.22 () windows_x86_64
average runtime ~4900s/3WU, 52-53 WU/day or around 183k credit/day
30 Watt less on the wall :)
Linux OpenSUSE 15.3:
Gamma-ray pulsar binary search #1 on GPUs v1.20 () x86_64-pc-linux-gnu
average runtime ~5100s/3WU, 50-51 WU/day around 176k credit/day
When I run GRP#1 v1.22(Win)vs v1.20(Lin) Win clearly performs better with more WU/day on a lower wattage.
Gravitational Wave search O3 All-Sky #1 v1.01 can run me 190k+ credits/day on linux on a higher wattage and hotter card. GRP#1 wins on running cooler while producing less noise too.