drewdsterling

If anything this will be my go to if the GPU upgrade doesn’t work as intended. The build you laid out is awesome! Thank you!!

Just for encoding, I don’t need to game on my rig. I’ll be gaming on some consoles and just passing the video through.

Gotcha, thank you for the feedback! I’m going to go this route!

I am looking to upgrade and repurpose my current rig into a streaming pc. I was thinking about replacing the GPU with an intel a770 for the AV1 encoder and get the Elgato MK2 4k Pro. What is your opinion on this? I’m looking to stream 1440p 60fps to YouTube, the current capture card died unfortunately. I will be using consoles as the source media. The software I want to use is OBS for streaming. My budget is $1k US for what makes sense to upgrade. Any help will be appreciated! I’ll attach my current build below. https://pcpartpicker.com/list/nWXy28

Oh gotcha so steps do not matter and do not compare, thank you for your help with this. I was just amazed by the steps haha. Thank you again!

CPU 8700K GPU 1070TI Memory 32GBs 3200MHzs

Sorry I could not get it to replicate for a while until now. So where it says build is where in this project description it says "avx_256". So what I am confused on is how my CPU when using this AVX-256 project is faster than my GPU with a similar amount of points workload? Is 1 CPU step not the same to 1 GPU step? Or is there something else going on? Log Copy 19:46:53:WU01:FS00:0xa7:*********************** Log Started 2020-04-03T19:46:53Z *********************** 19:46:53:WU01:FS00:0xa7:************************** Gromacs Folding@home Core *************************** 19:46:53:WU01:FS00:0xa7: Type: 0xa7 19:46:53:WU01:FS00:0xa7: Core: Gromacs 19:46:53:WU01:FS00:0xa7: Args: -dir 01 -suffix 01 -version 705 -lifeline 12164 -checkpoint 3 -np 19:46:53:WU01:FS00:0xa7: 10 19:46:53:WU01:FS00:0xa7:************************************ CBang ************************************* 19:46:53:WU01:FS00:0xa7: Date: Oct 26 2019 19:46:53:WU01:FS00:0xa7: Time: 01:38:25 19:46:53:WU01:FS00:0xa7: Revision: c46a1a011a24143739ac7218c5a435f66777f62f 19:46:53:WU01:FS00:0xa7: Branch: master 19:46:53:WU01:FS00:0xa7: Compiler: Visual C++ 2008 19:46:53:WU01:FS00:0xa7: Options: /TP /nologo /EHa /wd4297 /wd4103 /Ox /MT 19:46:53:WU01:FS00:0xa7: Platform: win32 10 19:46:53:WU01:FS00:0xa7: Bits: 64 19:46:53:WU01:FS00:0xa7: Mode: Release 19:46:53:WU01:FS00:0xa7:************************************ System ************************************ 19:46:53:WU01:FS00:0xa7: CPU: Intel(R) Core(TM) i7-8700K CPU @ 3.70GHz 19:46:53:WU01:FS00:0xa7: CPU ID: GenuineIntel Family 6 Model 158 Stepping 10 19:46:53:WU01:FS00:0xa7: CPUs: 12 19:46:53:WU01:FS00:0xa7: Memory: 31.86GiB 19:46:53:WU01:FS00:0xa7:Free Memory: 26.60GiB 19:46:53:WU01:FS00:0xa7: Threads: WINDOWS_THREADS 19:46:53:WU01:FS00:0xa7: OS Version: 6.2 19:46:53:WU01:FS00:0xa7:Has Battery: false 19:46:53:WU01:FS00:0xa7: On Battery: false 19:46:53:WU01:FS00:0xa7: UTC Offset: -7 19:46:53:WU01:FS00:0xa7: PID: 14392 19:46:53:WU01:FS00:0xa7: CWD: C:\Users\drewd\AppData\Roaming\FAHClient\work 19:46:53:WU01:FS00:0xa7:******************************** Build - libFAH ******************************** 19:46:53:WU01:FS00:0xa7: Version: 0.0.18 19:46:53:WU01:FS00:0xa7: Author: Joseph Coffland <joseph@cauldrondevelopment.com> 19:46:53:WU01:FS00:0xa7: Copyright: 2019 foldingathome.org 19:46:53:WU01:FS00:0xa7: Homepage: https://foldingathome.org/ 19:46:53:WU01:FS00:0xa7: Date: Oct 26 2019 19:46:53:WU01:FS00:0xa7: Time: 01:52:30 19:46:53:WU01:FS00:0xa7: Revision: c1e3513b1bc0c16013668f2173ee969e5995b38e 19:46:53:WU01:FS00:0xa7: Branch: master 19:46:53:WU01:FS00:0xa7: Compiler: Visual C++ 2008 19:46:53:WU01:FS00:0xa7: Options: /TP /nologo /EHa /wd4297 /wd4103 /Ox /MT 19:46:53:WU01:FS00:0xa7: Platform: win32 10 19:46:53:WU01:FS00:0xa7: Bits: 64 19:46:53:WU01:FS00:0xa7: Mode: Release 19:46:53:WU01:FS00:0xa7:************************************ Build ************************************* 19:46:53:WU01:FS00:0xa7: SIMD: avx_256 19:46:53:WU01:FS00:0xa7:******************************************************************************** 19:46:53:WU01:FS00:0xa7:Project: 14364 (Run 196, Clone 1, Gen 11) 19:46:53:WU01:FS00:0xa7:Unit: 0x0000000d9bf7a4d65e7cbfc4870ec8dd 19:46:53:WU01:FS00:0xa7:Reading tar file core.xml 19:46:53:WU01:FS00:0xa7:Reading tar file frame11.tpr 19:46:53:WU01:FS00:0xa7:Digital signatures verified 19:46:53:WU01:FS00:0xa7:Calling: mdrun -s frame11.tpr -o frame11.trr -cpt 3 -nt 10 19:46:53:WU01:FS00:0xa7:Steps: first=0 total=2500000 19:46:54:WU01:FS00:0xa7:Completed 1 out of 2500000 steps (0%) 19:47:23:WU00:FS01:0x22:Completed 10000 out of 1000000 steps (1%) -GPU 19:48:03:WU01:FS00:0xa7:Completed 25000 out of 2500000 steps (1%) -CPU 19:48:30:WU00:FS01:0x22:Completed 20000 out of 1000000 steps (2%) -GPU 19:49:14:WU01:FS00:0xa7:Completed 50000 out of 2500000 steps (2%) -CPU 19:49:38:WU00:FS01:0x22:Completed 30000 out of 1000000 steps (3%) -GPU 19:50:26:WU01:FS00:0xa7:Completed 75000 out of 2500000 steps (3%) 19:50:45:WU00:FS01:0x22:Completed 40000 out of 1000000 steps (4%) 19:51:30:WU01:FS00:0xa7:Completed 100000 out of 2500000 steps (4%) 19:51:53:WU00:FS01:0x22:Completed 50000 out of 1000000 steps (5%) 19:52:34:WU01:FS00:0xa7:Completed 125000 out of 2500000 steps (5%) 19:53:06:WU00:FS01:0x22:Completed 60000 out of 1000000 steps (6%) 19:53:34:WU01:FS00:0xa7:Completed 150000 out of 2500000 steps (6%) 19:54:13:WU00:FS01:0x22:Completed 70000 out of 1000000 steps (7%) 19:54:31:WU01:FS00:0xa7:Completed 175000 out of 2500000 steps (7%) 19:55:20:WU00:FS01:0x22:Completed 80000 out of 1000000 steps (8%) 19:55:31:WU01:FS00:0xa7:Completed 200000 out of 2500000 steps (8%) 19:56:28:WU00:FS01:0x22:Completed 90000 out of 1000000 steps (9%) 19:56:37:WU01:FS00:0xa7:Completed 225000 out of 2500000 steps (9%) 19:57:35:WU00:FS01:0x22:Completed 100000 out of 1000000 steps (10%) 19:57:42:WU01:FS00:0xa7:Completed 250000 out of 2500000 steps (10%) 19:58:44:WU01:FS00:0xa7:Completed 275000 out of 2500000 steps (11%) 19:58:47:WU00:FS01:0x22:Completed 110000 out of 1000000 steps (11%) 19:59:45:WU01:FS00:0xa7:Completed 300000 out of 2500000 steps (12%) 19:59:55:WU00:FS01:0x22:Completed 120000 out of 1000000 steps (12%) 20:00:48:WU01:FS00:0xa7:Completed 325000 out of 2500000 steps (13%) 20:01:02:WU00:FS01:0x22:Completed 130000 out of 1000000 steps (13%) 20:01:53:WU01:FS00:0xa7:Completed 350000 out of 2500000 steps (14%) 20:02:09:WU00:FS01:0x22:Completed 140000 out of 1000000 steps (14%) 20:03:04:WU01:FS00:0xa7:Completed 375000 out of 2500000 steps (15%) 20:03:17:WU00:FS01:0x22:Completed 150000 out of 1000000 steps (15%) 20:04:12:WU01:FS00:0xa7:Completed 400000 out of 2500000 steps (16%) 20:04:28:WU00:FS01:0x22:Completed 160000 out of 1000000 steps (16%) 20:05:18:WU01:FS00:0xa7:Completed 425000 out of 2500000 steps (17%) 20:05:36:WU00:FS01:0x22:Completed 170000 out of 1000000 steps (17%) 20:06:20:WU01:FS00:0xa7:Completed 450000 out of 2500000 steps (18%) 20:06:43:WU00:FS01:0x22:Completed 180000 out of 1000000 steps (18%) 20:07:20:WU01:FS00:0xa7:Completed 475000 out of 2500000 steps (19%) 20:07:51:WU00:FS01:0x22:Completed 190000 out of 1000000 steps (19%) 20:08:25:WU01:FS00:0xa7:Completed 500000 out of 2500000 steps (20%) 20:08:58:WU00:FS01:0x22:Completed 200000 out of 1000000 steps (20%)

Yes I can, I turned it off for the night but I will tomorrow

Hey everyone! I am folding on my gpu and cpu, I noticed that the cpu workloads are saying that they are AVX_256 in the log sometimes. I noticed that a 1,000,000 step workload on the cpu with the AVX_256 workloads are sometimes faster than my gpu workloads with the same 1,000,000 step core. Can someone explain why this is? I tried looking for an explanation online but got a lot of nothing, hoping someone here can enlighten me! Thank you!!

I think it is ATI Radeon HD 4350

Lol I was I just so happy to finally buy a GPU that is not overpriced lol!

I walked into best buy today browsing and found an EVGA 1080 at MSRP, 1070, 1060 6GB, and 1050Ti. And AMD 580, 570, and 560 all in stock and at MSRP. I was so happy I bought the 1080, I could not believe that Best Buy of all places would have the GPUs in stock and at MSRP. If you are looking to upgrade and in the USA check out Best Buy I am still in shock.

Gotcha is there any folding members that have a setup like this?

Hey, when GPUs on the secondary markets become extremely cheap when mining slows down can you fold with 19 GPUS on one board? I saw the Asus B250 mining expert board and thought it would be extremely efficient to fold with. My main question is does Folding at Home support 19 GPUs per board? If so I would love to see LTT do an episode of this on that crazy rig that they have. Thank you for all of the responses in advance!

Gotcha thanks for the help everyone I much appreciate it!