Can I mine with a single GPU?

[hazemhagrass]

Hi, I have multiple GPUs. Can i mine with a single GPU only?

[YoRyan]

Yes. If you can run the GUI, use the benchmarking window to disable all algorithms on the other cards.

[hazemhagrass]

I could not see that option. Can you please send me some screenshots?

[YoRyan]

My apologies. You can disable individual algorithms by zero'ing out the benchmark speed, but you cannot disable an entire GPU, because nuxhash will always pick at least one algorithm to run. I will add an explicit enable/disable control.

[F1Rumors]

Can't you disable it in the top dialog? Pretty sure that it is how I indicated I was not interested in cpu mining!

On Tue, 7 May 2019, 19:43 Ryan Young, [email protected] wrote:

My apologies. You can disable individual algorithms by zero'ing out the benchmark speed, but you cannot disable an entire GPU, because nuxhash will always pick at least one algorithm to run. I will add an explicit enable/disable control.

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[YoRyan]

Nuxhash doesn't support CPU mining, period.

[hazemhagrass-incorta]

@YoRyan Thanks a lot Looking forward to see it in action

[marcdemers]

As a simple workaround, I disabled one single GPU by setting the CUDA_VISIBLE_DEVICES=id environment variable, and modifying the start_work method in excavator.py as such:

    def start_work(self, algorithm, device, benchmarking=False):
        """Start running algorithm on device."""
        # Create associated algorithm(s).
        for multialgorithm in algorithm.split('_'):
            algorithm_instance = self._running_algorithms[multialgorithm]
            algorithm_instance.set_benchmarking(benchmarking)
            algorithm_instance.grab()

        # Create worker.
        if device.pci_bus in self._device_map.keys():
            device_id = self._device_map[device.pci_bus]
            if benchmarking:
                response = self.send_command(
                    'worker.add', [f'benchmark-{algorithm}', device_id])
            else:
                response = self.send_command('worker.add', [algorithm, device_id])
            self._running_workers[(algorithm, device)] = response['worker_id']
        else:
            print("No worker on GPU", device)