mersenneforum.org - Run Prime95 with GPU

[QUOTE=tait1k27;595165]I have a Intel(R) Iris(R) Xe Graphics, a NVIDIA GeForce MX330 card and processor 11th Gen Intel(R) Core(TM) i7-1165G7 @ 2.80GHz, 2803 Mhz, 4 Core(s), 8 Logical Processor(s).
I have 2 questions.
1) Is run Prime95 with GPU faster than with CPU?
2) How to run Prime95 with GPU?[/QUOTE]GPUs are not supported for computation in prime95. (Please read the documentation or reference info.)

While some [URL="https://www.mersenneforum.org/showthread.php?t=25717"]IGPs[/URL] can be usefully employed for GIMPS if the user is sufficiently patient, the [URL="https://ark.intel.com/content/www/us/en/ark/products/208921/intel-core-i71165g7-processor-12m-cache-up-to-4-70-ghz-with-ipu.html"]Iris Xe IGP on i7-1165G7[/URL] is probably not worth pursuing for GIMPS GPU computing. There were compatibility issues and performance loss issues [URL="https://www.mersenneforum.org/showpost.php?p=587816&postcount=9"]when I tried it[/URL]. IGP use in general would also reduce CPU performance in prime95 because the IGP and the CPU cores share a package power limit, and also memory access.
Discrete GPUs are more promising, because
[LIST=1][*]separate power budget[*]separate memory and dedicated memory access paths[*]typically a greater total power budget than for an IGP[/LIST]There's lots of [URL="https://mersenneforum.org/showthread.php?t=24607"]reference info[/URL] for GIMPS use of GPUs with various other mostly computation-type-specific applications.

There are no benchmarks at [URL]https://www.mersenne.ca/mfaktc.php[/URL] for the MX330 GPU, but it may be worth pursuing. The MX 150 is listed at 143 (TF) GHD/day there.
It's probably more effective to use the MX330 for TF than anything else. That's the case with most NVIDIA GPUs (except some pro-grade Tesla & Quadro such as can be found on cloud computing services like Google Colab).

An [URL="https://www.techpowerup.com/gpu-specs/geforce-mx330.c3493"]MX 330[/URL] has 2GB GPU ram (small but usable for effective wavefront P-1), about 5% of the memory bandwidth and only ~1.1% the 64bit FP performance of a [URL="https://www.techpowerup.com/gpu-specs/radeon-vii.c3358"]Radeon VII[/URL]. I don't expect much throughput in P-1, PRP or LL from the MX330. (Would you be ok with a wavefront PRP taking weeks or months each?)
There are no benchmarks at [URL]https://www.mersenne.ca/cudalucas.php[/URL] for the MX 330. The MX150 is listed at ~10 (LL) GHD/day there. The more relevant [URL="https://www.techpowerup.com/gpu-specs/geforce-mx150.c2959"]MX150 specs[/URL] (ram bandwidth generally, FP32 for TF, FP64 for other computation types) are close to that of the MX330 on the TechPowerUp pages.

Give the MX 330 a try in mfaktc TF, and in gpuowl PRP on a relatively quicker DC assignment, and please report some benchmarks for each at the relevant mersenne.ca pages linked above.
Expect a completely new learning curve for each GPU application, and no GUI, command line only.