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BOINC LHC@Home GPU vs CPU

Hello there,

I hope that im not the only one doing the LHC project.

I don't really care about the points etc but i think it's good to compare the hardware right?

 

I have a AMD 7900X with 95W PBO and a 3060ti. LHC doesn't support Nvidia GPUs and I wonder how much faster a AMD GPU is than my AMD 7900X and if there is any use for CPUs. By that I mean, are CPUs doing their own tasks that GPUs can't do, for example assembling the whole GPU data into one or something. Because if a normal GPU like RX6800 does 10x more points than my CPU and the CPU has no specialized tasks then I think CPUs make no sense, performance/watt wise.

 

I would be very thankful if someone with an AMD GPU could run the LHC project on a GPU and share the results. My CPU does 13.5k credits at 95W, idk how valid that score is because im also playing games so the tasks are paused.

 

Thanks for your time reading it :)

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Our Team Stats for LHC are here at BOINCstats.

 

But there appears to be only two people active neither of whom I can find with a similar username in the forums.

 

I don't have access to any current AMD GPUs so I unfortunately can't help. I doubt my Radeon Pro W4100 in my Windoze Daily Driver would provide a meaningful comparison 🙄

 

In general most GPU-specific BOINC tasks are different Work Units or packaged differently that CPU tasks. CPUs have a much more versatile instruction set and so are more useful for more complex calculations that can't be modeled on a GPU. But yes, in general CPUs are vastly out-performed by GPUs and are much more efficient.

 

My CPUs run Mapping Cancer Markers and Open Pandemics on World Community Grid and my GPUs run Open Pandemics when there are available Work Units and Einstein@Home where there are none.

FaH BOINC HfM

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desktop: Lian-Li O11 Air Mini; Gigabyte Aorus ax570 Master; Ryzen 9 5900x;Noctua NH-D15; 4 x 16GB DDR4-3200; 500GB PCIe3 NVMe; 4 x 3TB NAS; AMD RadeonPro W4100; EVGA RTX 2060 XC Ultra Gaming; Corsair TX650M

nas1: Fractal Define R4; SuperMicro X10sl7-f; Xeon e3-1231v3; 4 x 8GB DDR3-1666 ECC; 6 x 3TB NAS; 6 x 4TB NAS

nas2: Synology DS-123j; 2 x 6TB NAS

dcn01: Fractal Meshify C; Gigabyte Aorus ax570 Master; Ryzen 9 5950x; EVGA 240 CLC; 2 x 32GB DDR4-3200; 512GB NVMe; EVGA RTX 2070 Super XC Hybrid; EVGA RTX 3070 XC Ultra; Corsair TX650M

dcn02: Fractal Define S; Gigabyte ax570 Pro WiFi; Ryzen 9 3950x; Noctua NH-D15; 2 x 16GB DDR4-3200; 128GB NVMe; EVGA RTX 2070 Super XC Hybrid; EVGA RTX3080 FTW3; Corsair RM750x

dcn03: Fractal Meshify S2; Gigabyte Aorus ax570 Pro WiFi; Ryzen 9 5900x; Noctua NH-U12S; 2 x 16GB DDR4-3200; 128GB NVMe; EVGA RTX 2070 Super XC Hybrid; EVGA RTX 3080 XC Ultra; Corsair RM750

dcn04: Fractal Meshify S2; Gigabyte x370 Gaming K7; Ryzen 9 3900x; Noctua NH-U12S; 4 x 16GB DDR4-3200; 128GB NVMe; EVGA RTX 2070 Super XC Hybrid; Asus TUF RTX3070 ti; Corsair TX750M

dcn05: Fractal Define R4; Gigabyte ax370 Gaming K7; i9-9900K; EVGA 280 CLC; 2 x 8GB DDR4-3200; 128GB NVMe; EVGA RTX 2070 Super XC Hybrid; EVGA RTX 3080 XC Ultra; Corsair TX650M

dcn10: Fractal Define C; Gigabyte Aorus x570 Gaming X; Ryzen 7 2700x; Hyper 212Evo e/w Noctua NF-A12 iPPC2000; 2 x 8GB DDR4-3200; Samsung 250GB SSD; EVGA RTX 2070A; EVGA RTX 2060 Super XC Gaming; Corsair CX650M Bronze

dcn11: Fractal Focus G mini; Gigabyte b450 Aorus M; Aorus M; Ryzen 7 2700; Wraith Spire; 2 x 8GB DDR4-3200; Samsung 840 Pro 128GB SSD; EVGA XC GTX 1070 ti 8GB; Corsair CX450M Bronze

dcn12: Fractal Core 1100; Gigabyte b450 Aorus M; Ryzen 7 2700; Wraith Spire; 2 x 8GB DDR4-3200; Samsung EVO 850 128GB SSD; EVGA GTX 1660ti XC Ultra Gaming; Corsair TX550M Bronze

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On 1/25/2023 at 4:17 AM, Gorgon said:

Our Team Stats for LHC are here at BOINCstats.

 

But there appears to be only two people active neither of whom I can find with a similar username in the forums.

 

I don't have access to any current AMD GPUs so I unfortunately can't help. I doubt my Radeon Pro W4100 in my Windoze Daily Driver would provide a meaningful comparison 🙄

 

In general most GPU-specific BOINC tasks are different Work Units or packaged differently that CPU tasks. CPUs have a much more versatile instruction set and so are more useful for more complex calculations that can't be modeled on a GPU. But yes, in general CPUs are vastly out-performed by GPUs and are much more efficient.

 

My CPUs run Mapping Cancer Markers and Open Pandemics on World Community Grid and my GPUs run Open Pandemics when there are available Work Units and Einstein@Home where there are none.

Ok understood, I mean, if there are WU/tasks that a GPU can't do provided by lets say LHC@home then it doesn't really matter how efficient the GPU is because a GPU can't finish the WU. My CPU is locked at 95W 😄 and this with German prices is enough, 1KW/h is 40cents in Germany, the Government is crazy here.

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