Posts by BoincSpy

1) Message boards : GPUs : GPU questions. (Message 110976) Posted 28 Jan 2023 by BoincSpy Post: 1. I have observed if you have one RTX 30x or RTX 40x and have the build in intel GPU processing working units the rate of processing goes down ~10 %. IE if not running an RTX 3070 ti without intel GPU the processing rate ~31% if we add the intel processor the rate drops to ~19-21%. Anyone know what the underlying cause of might be the slow down. 2. I just purchased a RTX 4070Ti and noted the GPU rate is not much higher than the RTX3070 Ti. IE 32.0 % /min vs 29.0 % /minute. I know it might be related to what WUs processing but thought I would get a better rate / minute IE almost double based on the GFLOPS peak numbers. Here are the specs of the 2 graphics cards. Again any thoughts on way the 4070ti is not really outperforming the 3070Ti. Computer 1 1/28/2023 10:50:09 AM \| \| CUDA: NVIDIA GPU 0: NVIDIA GeForce RTX 3070 Ti (driver version 528.02, CUDA version 12.0, compute capability 8.6, 8192MB, 8192MB available, 21934 GFLOPS peak) 1/28/2023 10:50:09 AM \| \| OpenCL: NVIDIA GPU 0: NVIDIA GeForce RTX 3070 Ti (driver version 528.02, device version OpenCL 3.0 CUDA, 8192MB, 8192MB available, 21934 GFLOPS peak) 1/28/2023 10:50:14 AM \| \| Windows processor group 0: 12 processors 1/28/2023 10:50:14 AM \| \| Processor: 12 GenuineIntel Intel(R) Core(TM) i5-10400 CPU @ 2.90GHz [Family 6 Model 165 Stepping 5] 1/28/2023 10:50:14 AM \| \| OS: Microsoft Windows 11: Professional x64 Edition, (10.00.22621.00) 1/28/2023 10:50:14 AM \| \| Memory: 7.82 GB physical, 16.16 GB virtual Average GPU rate: 29% / minute. Computer 2. 1/28/2023 10:42:31 AM \| \| CUDA: NVIDIA GPU 0: NVIDIA GeForce RTX 4070 Ti (driver version 528.24, CUDA version 12.0, compute capability 8.9, 12282MB, 12282MB available, 42624 GFLOPS peak) 1/28/2023 10:42:31 AM \| \| OpenCL: NVIDIA GPU 0: NVIDIA GeForce RTX 4070 Ti (driver version 528.24, device version OpenCL 3.0 CUDA, 12282MB, 12282MB available, 42624 GFLOPS peak) 1/28/2023 10:42:46 AM \| \| Windows processor group 0: 20 processors 1/28/2023 10:42:46 AM \| \| Processor: 20 GenuineIntel 12th Gen Intel(R) Core(TM) i7-12700K [Family 6 Model 151 Stepping 2] 1/28/2023 10:42:46 AM \| \| OS: Microsoft Windows 11: Professional x64 Edition, (10.00.22621.00) 1/28/2023 10:42:46 AM \| \| Memory: 31.78 GB physical, 63.78 GB virtual Average GPU rate: 32 % / minute
2) Message boards : GPUs : One Nvidia GPU unable to process after a couple of days. (Message 108277) Posted 30 May 2022 by BoincSpy Post: The Linux client is not the 7.16.20 as reported earlier. Its running : 5/29/2022 10:00:29 PM \| \| Starting BOINC client version 7.18.1 for x86_64-pc-linux-gnu 5/29/2022 10:00:29 PM \| \| This a development version of BOINC and may not function properly. I will dig into the issue of GPU task requires more that one thread, and play around with the CPU settings. Thanks, BoincSpy
3) Message boards : GPUs : One Nvidia GPU unable to process after a couple of days. (Message 108152) Posted 19 May 2022 by BoincSpy Post: So the machine in is running ubuntu, so I will have to do a clean install on the nvidia drivers. However the other machine (Windows ) that I have issues with has the same versions of the drivers and it appears the task cpu/gpu scheduler is causing the issue of not running the other task on the other GPU. I suspect this because of the following. 1) If I play around with the Computing preferences CPU usage limit ( % of CPU ) I can get the other GPU to start processing. 2) If I delete all tasks I can the the other GPU to run for a couple of days.
4) Message boards : GPUs : One Nvidia GPU unable to process after a couple of days. (Message 108128) Posted 18 May 2022 by BoincSpy Post: Yes BOINC sees both GPUs. 5/18/2022 10:38:41 AM \| \| CUDA: NVIDIA GPU 0: NVIDIA GeForce RTX 2070 (driver version 470.99, CUDA version 11.4, compute capability 7.5, 4096MB, 3968MB available, 7465 GFLOPS peak) 5/18/2022 10:38:41 AM \| \| CUDA: NVIDIA GPU 1: NVIDIA GeForce RTX 2070 (driver version 470.99, CUDA version 11.4, compute capability 7.5, 4096MB, 3968MB available, 7465 GFLOPS peak) 5/18/2022 10:38:41 AM \| \| OpenCL: NVIDIA GPU 0: NVIDIA GeForce RTX 2070 (driver version 470.103.01, device version OpenCL 3.0 CUDA, 7981MB, 3968MB available, 7465 GFLOPS peak) 5/18/2022 10:38:41 AM \| \| OpenCL: NVIDIA GPU 1: NVIDIA GeForce RTX 2070 (driver version 470.103.01, device version OpenCL 3.0 CUDA, 7982MB, 3968MB available, 7465 GFLOPS peak) Both GPus are working as I use distributed.net opencl application that really push's the GPUs.
5) Message boards : GPUs : One Nvidia GPU unable to process after a couple of days. (Message 108114) Posted 17 May 2022 by BoincSpy Post: I have the following issue in that One of the two NVIDIA GPUS no longer computer after a couple of days. The only way to get work again is if i remove all the tasks or reset the project but I have to do this every 2 - 3 days. Here are the specs. This happens on a couple of machines. Project: Einstein@Home GPUs: 2 RTX 2070s. CPU: Intel I7 / Gen 8, with 8 GB ram. Boinc Version: 7.16.20 There are plenty of GPU tasks enabled. I have turned on coproc_debug, cpu_sched_debug and work_fetch_debug options. Here is the event log. Noticed that device is not able to run because CPU is committed but I have set the CPU limit to 70% so I thought there would be plenty of CPU head room. I tried setting it lower makes no different. 5/17/2022 9:39:12 AM \| \| Re-reading cc_config.xml 5/17/2022 9:39:12 AM \| \| Config: GUI RPCs allowed from: 5/17/2022 9:39:12 AM \| \| 172.16.0.23 5/17/2022 9:39:12 AM \| \| Config: use all coprocessors 5/17/2022 9:39:12 AM \| \| log flags: file_xfer, task, coproc_debug, cpu_sched_debug, work_fetch_debug 5/17/2022 9:39:12 AM \| \| [cpu_sched_debug] Request CPU reschedule: Core client configuration 5/17/2022 9:39:12 AM \| \| [work_fetch] Request work fetch: Core client configuration 5/17/2022 9:39:12 AM \| \| [cpu_sched_debug] schedule_cpus(): start 5/17/2022 9:39:12 AM \| Einstein@Home \| [cpu_sched_debug] reserving 1.000000 of coproc NVIDIA 5/17/2022 9:39:12 AM \| Einstein@Home \| [cpu_sched_debug] add to run list: LATeah3012L08_796.0_0_0.0_32509764_0 (NVIDIA GPU, FIFO) (prio -1.000000) 5/17/2022 9:39:12 AM \| Einstein@Home \| [cpu_sched_debug] reserving 1.000000 of coproc NVIDIA 5/17/2022 9:39:12 AM \| Einstein@Home \| [cpu_sched_debug] add to run list: LATeah3012L08_796.0_0_0.0_32507847_0 (NVIDIA GPU, FIFO) (prio -1.020764) 5/17/2022 9:39:12 AM \| Einstein@Home \| [cpu_sched_debug] add to run list: p2030.20180616.G55.31-01.59.S.b6s0g0.00000_3800_0 (CPU, EDF) (prio -1.041527) 5/17/2022 9:39:12 AM \| Einstein@Home \| [cpu_sched_debug] add to run list: p2030.20180616.G55.44-01.82.S.b4s0g0.00000_3552_0 (CPU, EDF) (prio -1.041562) 5/17/2022 9:39:12 AM \| Einstein@Home \| [cpu_sched_debug] add to run list: p2030.20180616.G55.44-01.82.S.b4s0g0.00000_3560_0 (CPU, EDF) (prio -1.041597) 5/17/2022 9:39:12 AM \| Einstein@Home \| [cpu_sched_debug] add to run list: p2030.20180616.G55.31-01.59.S.b6s0g0.00000_3088_0 (CPU, EDF) (prio -1.041632) 5/17/2022 9:39:12 AM \| Einstein@Home \| [cpu_sched_debug] add to run list: p2030.20180616.G55.31-01.59.S.b1s0g0.00000_1752_0 (CPU, EDF) (prio -1.041667) 5/17/2022 9:39:12 AM \| Einstein@Home \| [cpu_sched_debug] add to run list: p2030.20180616.G55.31-01.59.S.b1s0g0.00000_1896_0 (CPU, EDF) (prio -1.041702) 5/17/2022 9:39:12 AM \| \| [cpu_sched_debug] enforce_run_list(): start 5/17/2022 9:39:12 AM \| \| [cpu_sched_debug] preliminary job list: 5/17/2022 9:39:12 AM \| Einstein@Home \| [cpu_sched_debug] 0: LATeah3012L08_796.0_0_0.0_32509764_0 (MD: no; UTS: yes) 5/17/2022 9:39:12 AM \| Einstein@Home \| [cpu_sched_debug] 1: LATeah3012L08_796.0_0_0.0_32507847_0 (MD: no; UTS: no) 5/17/2022 9:39:12 AM \| Einstein@Home \| [cpu_sched_debug] 2: p2030.20180616.G55.31-01.59.S.b6s0g0.00000_3800_0 (MD: yes; UTS: no) 5/17/2022 9:39:12 AM \| Einstein@Home \| [cpu_sched_debug] 3: p2030.20180616.G55.44-01.82.S.b4s0g0.00000_3552_0 (MD: yes; UTS: no) 5/17/2022 9:39:12 AM \| Einstein@Home \| [cpu_sched_debug] 4: p2030.20180616.G55.44-01.82.S.b4s0g0.00000_3560_0 (MD: yes; UTS: no) 5/17/2022 9:39:12 AM \| Einstein@Home \| [cpu_sched_debug] 5: p2030.20180616.G55.31-01.59.S.b6s0g0.00000_3088_0 (MD: yes; UTS: no) 5/17/2022 9:39:12 AM \| Einstein@Home \| [cpu_sched_debug] 6: p2030.20180616.G55.31-01.59.S.b1s0g0.00000_1752_0 (MD: yes; UTS: no) 5/17/2022 9:39:12 AM \| Einstein@Home \| [cpu_sched_debug] 7: p2030.20180616.G55.31-01.59.S.b1s0g0.00000_1896_0 (MD: yes; UTS: no) 5/17/2022 9:39:12 AM \| \| [cpu_sched_debug] final job list: 5/17/2022 9:39:12 AM \| Einstein@Home \| [cpu_sched_debug] 0: p2030.20180616.G55.31-01.59.S.b6s0g0.00000_3800_0 (MD: yes; UTS: no) 5/17/2022 9:39:12 AM \| Einstein@Home \| [cpu_sched_debug] 1: p2030.20180616.G55.44-01.82.S.b4s0g0.00000_3552_0 (MD: yes; UTS: no) 5/17/2022 9:39:12 AM \| Einstein@Home \| [cpu_sched_debug] 2: p2030.20180616.G55.44-01.82.S.b4s0g0.00000_3560_0 (MD: yes; UTS: no) 5/17/2022 9:39:12 AM \| Einstein@Home \| [cpu_sched_debug] 3: p2030.20180616.G55.31-01.59.S.b6s0g0.00000_3088_0 (MD: yes; UTS: no) 5/17/2022 9:39:12 AM \| Einstein@Home \| [cpu_sched_debug] 4: p2030.20180616.G55.31-01.59.S.b1s0g0.00000_1752_0 (MD: yes; UTS: no) 5/17/2022 9:39:12 AM \| Einstein@Home \| [cpu_sched_debug] 5: p2030.20180616.G55.31-01.59.S.b1s0g0.00000_1896_0 (MD: yes; UTS: no) 5/17/2022 9:39:12 AM \| Einstein@Home \| [cpu_sched_debug] 6: LATeah3012L08_796.0_0_0.0_32509764_0 (MD: no; UTS: yes) 5/17/2022 9:39:12 AM \| Einstein@Home \| [cpu_sched_debug] 7: LATeah3012L08_796.0_0_0.0_32507847_0 (MD: no; UTS: no) 5/17/2022 9:39:12 AM \| Einstein@Home \| [coproc] NVIDIA instance 0; 1.000000 pending for LATeah3012L08_796.0_0_0.0_32509764_0 5/17/2022 9:39:12 AM \| Einstein@Home \| [coproc] NVIDIA instance 0: confirming 1.000000 instance for LATeah3012L08_796.0_0_0.0_32509764_0 5/17/2022 9:39:12 AM \| Einstein@Home \| [coproc] Assigning NVIDIA instance 1 to LATeah3012L08_796.0_0_0.0_32507847_0 5/17/2022 9:39:12 AM \| Einstein@Home \| [cpu_sched_debug] scheduling p2030.20180616.G55.31-01.59.S.b6s0g0.00000_3800_0 (high priority) 5/17/2022 9:39:12 AM \| Einstein@Home \| [cpu_sched_debug] scheduling p2030.20180616.G55.44-01.82.S.b4s0g0.00000_3552_0 (high priority) 5/17/2022 9:39:12 AM \| Einstein@Home \| [cpu_sched_debug] scheduling p2030.20180616.G55.44-01.82.S.b4s0g0.00000_3560_0 (high priority) 5/17/2022 9:39:12 AM \| Einstein@Home \| [cpu_sched_debug] scheduling p2030.20180616.G55.31-01.59.S.b6s0g0.00000_3088_0 (high priority) 5/17/2022 9:39:12 AM \| Einstein@Home \| [cpu_sched_debug] scheduling p2030.20180616.G55.31-01.59.S.b1s0g0.00000_1752_0 (high priority) 5/17/2022 9:39:12 AM \| Einstein@Home \| [cpu_sched_debug] scheduling p2030.20180616.G55.31-01.59.S.b1s0g0.00000_1896_0 (high priority) 5/17/2022 9:39:12 AM \| Einstein@Home \| [cpu_sched_debug] scheduling LATeah3012L08_796.0_0_0.0_32509764_0 5/17/2022 9:39:12 AM \| Einstein@Home \| [cpu_sched_debug] skipping GPU job LATeah3012L08_796.0_0_0.0_32507847_0; CPU committed 5/17/2022 9:39:12 AM \| \| [cpu_sched_debug] enforce_run_list: end 5/17/2022 9:39:14 AM \| \| choose_project(): 1652805554.692413 5/17/2022 9:39:14 AM \| \| [work_fetch] ------- start work fetch state ------- 5/17/2022 9:39:14 AM \| \| [work_fetch] target work buffer: 86400.00 + 86400.00 sec 5/17/2022 9:39:14 AM \| \| [work_fetch] --- project states --- 5/17/2022 9:39:14 AM \| Einstein@Home \| [work_fetch] REC 607807.647 prio -0.104 can't request work: scheduler RPC backoff (14.56 sec) 5/17/2022 9:39:14 AM \| \| [work_fetch] --- state for CPU --- 5/17/2022 9:39:14 AM \| \| [work_fetch] shortfall 0.00 nidle 0.00 saturated 1317305.84 busy 1072572.89 5/17/2022 9:39:14 AM \| Einstein@Home \| [work_fetch] share 0.000 5/17/2022 9:39:14 AM \| \| [work_fetch] --- state for NVIDIA GPU --- 5/17/2022 9:39:14 AM \| \| [work_fetch] shortfall 0.00 nidle 0.00 saturated 278830.81 busy 0.00 5/17/2022 9:39:14 AM \| Einstein@Home \| [work_fetch] share 0.000 5/17/2022 9:39:14 AM \| \| [work_fetch] ------- end work fetch state ------- 5/17/2022 9:39:14 AM \| Einstein@Home \| choose_project: scanning 5/17/2022 9:39:14 AM \| Einstein@Home \| skip: scheduler RPC backoff 5/17/2022 9:39:14 AM \| \| [work_fetch] No project chosen for work fetch 5/17/2022 9:39:29 AM \| \| [work_fetch] Request work fetch: Backoff ended for Einstein@Home 5/17/2022 9:39:29 AM \| \| choose_project(): 1652805569.760385 5/17/2022 9:39:29 AM \| \| [work_fetch] ------- start work fetch state ------- 5/17/2022 9:39:29 AM \| \| [work_fetch] target work buffer: 86400.00 + 86400.00 sec 5/17/2022 9:39:29 AM \| \| [work_fetch] --- project states --- 5/17/2022 9:39:29 AM \| Einstein@Home \| [work_fetch] REC 607807.647 prio -1.104 can request work 5/17/2022 9:39:29 AM \| \| [work_fetch] --- state for CPU --- 5/17/2022 9:39:29 AM \| \| [work_fetch] shortfall 0.00 nidle 0.00 saturated 1317242.70 busy 1072565.50 5/17/2022 9:39:29 AM \| Einstein@Home \| [work_fetch] share 1.000 5/17/2022 9:39:29 AM \| \| [work_fetch] --- state for NVIDIA GPU --- 5/17/2022 9:39:29 AM \| \| [work_fetch] shortfall 0.00 nidle 0.00 saturated 278828.81 busy 0.00 5/17/2022 9:39:29 AM \| Einstein@Home \| [work_fetch] share 1.000 5/17/2022 9:39:29 AM \| \| [work_fetch] ------- end work fetch state ------- Anyone have suggestions to fix this? I have tried talking to the Einstein@home people and didn't get to far with them. Thanks, Bob
6) Message boards : Promotion : BoincSpy Lives!!! (Message 106203) Posted 27 Nov 2021 by BoincSpy Post: Hi Everyone, BoincSpy still lives and the current release is 4.5.0. Can be used for Boinc projects and Folding at Home. Here are the changes: Moved to .NET Framework. Ability to view Folding@Home project. Darkmode implemented. BoincsSpy Viewer can remotely connect to other BOINC clients. You have the ability to view progress on non Windows platforms. Updating of software has been revamped. Switched from WCF RPC framework to DOTNET gRPC. ( Faster and encrypted ). Support for Mac OSX-Arm64 Website: https://boincspy.ddns.net
7) Message boards : API : not returning a newer BOINC version number (Message 105880) Posted 28 Oct 2021 by BoincSpy Post: I don't think this is an issue with get_newer_version but I have 7.16.11 (x64) installed however i have noticed that there is a newer version available on the boinc.berkeley.edu website 7.16.20. I am assuming that the project that I am running needs to update there servers to indicate a newer version is available or is this incorrect and boinc @ berkley needs to make the change. Thanks in advance, BoincSpy

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