I'm thinking of replacing my 2 x EVGA GTX 750Tis with a Nvidia GTX 1070 https://www.bestbuy.com/site/nvidia-geforce-gtx-1070-founders-edition-8gb-gddr5-pci-express-3-0-graphics-card-black/5330700.p?skuId=5330700. All suggestions for the cmd line will be greatly appreciated. Right now I'm running at 2 tasks per and would like to increase them to wither 3 or 4.

In the beginning it will be installed as is, but as my nickels & dimes are saved I'll be adding it to my EK cooling loop and if everything works out I'll add a 2nd one.

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I don't buy computers, I build them!!

I’m assuming SoG? Remember you are limited to the amount of GPU Ram available to 26% of that installed on the GPU. Do probably should stay at 2 per card.

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Are you looking for a command line for the MB*SOG.txt?

It is entirely possible that your current MB*SOG.txt file is already as good as it can get.

It is also possible you need to test your Gpu's with single tasks, create a solid multi-week baseline and then see if you can raise the total production in a day with 2 tasks.

I haven't had any luck at all getting more total production out of gtx 750ti's or gtx 1060 3GB by running two tasks. So far, every test seems to show the 2 tasks taking more than twice as long as one task. So total production goes down :(

My impression is only Gtx 1080 and higher seem to get more total production.
Might be wrong. Testing results on a specific computer/gpu combination always overrides guesses.
Tom

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A proud member of the OFA (Old Farts Association).

I’m assuming SoG? Remember you are limited to the amount of GPU Ram available to 26% of that installed on the GPU. Do probably should stay at 2 per card.

My fault, should have made myself clear. Lunatics -beta 6, so I' running both AP & MB, both use (.5 CPU & .5 GPU).

The current AP line is
-use_sleep -sbs 256 -spike_fft_thresh 2048 -tune 1 64 1 4 -oclfft_tune_gr 256 -oclfft_tune_lr 16 -oclfft_tune_wg 256 -oclfft_tune_ls 512 -oclfft_tune_bn 32 -oclfft_tune_cw 32 -hp


The current MB line is
-use_sleep -tt 500 -hp -period_iterations_num 1 -high_perf -sbs 2048 -spike_fft_thresh 4096 -tune 1 64 1 4 -oclfft_tune_gr 256 -oclfft_tune_lr 16 -oclfft_tune_wg 256 -oclfft_tune_ls 512 -oclfft_tune_bn 64 -oclfft_tune_cw 64


Are you positive about the 26% of available GPU ram. The GPUs are 2GB each and HWinfo64 is showing

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I don't buy computers, I build them!!

You probably won't have to use -use_sleep with a 1070 nor such a low -tt value. Unless you are running a very low performance cpu.

As far at the 26% of available VRAM, that is absolutely true. Has to do with the default and inviolate OpenCL compute limitation in OpenCL 1.2. If you try to use more than 26% of the VRAM via a too extreme -sbs value for example you will see that Open_CL limits it to just 2000MB of memory in the std_err.txt output of an 1070 card for example overriding your parameters.

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Seti@Home classic workunits:20,676 CPU time:74,226 hours

A proud member of the OFA (Old Farts Association)

Maybe you can try my appconfig.cfg wich i use withg my 1080Ti under windows 10.
I do 2 wu at a time and they finish faster than 1 at a time by approx 30 to 20 seconds, depending on wu type. ( more work done per hour )
3 wu with this config will be about even in times when running 1 instead.

For astropulse change - Unroll 28 to your cards CU count.

<app_config>
<app_version>
<app_name>setiathome_v8</app_name>
<plan_class>opencl_nvidia_SoG</plan_class>
<avg_ncpus>1</avg_ncpus>
<ngpus>0.5</ngpus>
<cmdline>-sbs 1024 -spike_fft_thresh 4096 -tune 1 64 1 4 -oclfft_tune_gr 256 -oclfft_tune_lr 16 -oclfft_tune_wg 512 -oclfft_tune_ls 1024 -oclfft_tune_bn 128 -oclfft_tune_cw 128 -pref_wg_num_per_cu 8 -period_iterations_num 1 -hp -high_prec_timer -high_perf -tt 1500 -cpu_lock -instances_per_device 3</cmdline>
</app_version>
<app_version>
<app_name>astropulse_v7</app_name>
<avg_ncpus>1</avg_ncpus>
<ngpus>1</ngpus>
<plan_class>opencl_nvidia_100</plan_class>
<cmdline>-sbs 1024 -unroll 28 -oclFFT_plan 256 16 256 -ffa_block 16384 -ffa_block_fetch 8192 -tune 1 64 4 1 -tune 2 64 4 1 -hp -cpu_lock -instances_per_device 3</cmdline>
</app_version>
<app_version>
<app_name>astropulse_v7</app_name>
<avg_ncpus>1</avg_ncpus>
<ngpus>1</ngpus>
<plan_class>cuda_opencl_100</plan_class>
<cmdline>-sbs 1024 -unroll 28 -oclFFT_plan 256 16 256 -ffa_block 16384 -ffa_block_fetch 8192 -tune 1 64 4 1 -tune 2 64 4 1 -hp -cpu_lock -instances_per_device 3</cmdline>
</app_version>
<app_version>
<app_name>astropulse_v7</app_name>
<avg_ncpus>1</avg_ncpus>
<ngpus>1</ngpus>
<plan_class>opencl_nvidia_cc1</plan_class>
<cmdline>-sbs 1024 -unroll 28 -oclFFT_plan 256 16 256 -ffa_block 16384 -ffa_block_fetch 8192 -tune 1 64 4 1 -tune 2 64 4 1 -hp -cpu_lock -instances_per_device 3</cmdline>
</app_version>
<app_version>
<app_name>astropulse_v7</app_name>
<avg_ncpus>1</avg_ncpus>
<ngpus>1</ngpus>
<plan_class>cuda_opencl_cc1</plan_class>
<cmdline>-sbs 1024 -unroll 28 -oclFFT_plan 256 16 256 -ffa_block 16384 -ffa_block_fetch 8192 -tune 1 64 4 1 -tune 2 64 4 1 -hp -cpu_lock -instances_per_device 3</cmdline>
</app_version>
</app_config>

Gave myself an early birthday present, Saturday, and installed the 1st of 2 GTX1070. Up and running, and will check after I get back from voting machine inspector class.

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I don't buy computers, I build them!!