Firstly, please note I cannot edit this post 1hr after posting it, so for the latest table & any changes in benchmark requirements check out my latest posts here.
Or check out the AnandTech MW benchmark thread I created there, as I can update that indefinitely, AFAIK! And it includes links to the peoples original time posted.
It's link http://forums.anandtech.com/threads/milkyway-h-benchmark-thread-winter-2016-on-updated-1-2019-gpu-cpu-times-wanted-for-new-wus.2495905/.

I know lots of people running MW@H would like to know how their rigs compare to other peoples & would like to see how an upgrade could improve output.
Whilst you can look through the MW BOINC stats the info is rather vague, it doesn't give clock speeds or specific GPUs for example, nor does it account for anything that might add to WU times.

So please share your new scores for old & new GPUs & CPUs alike!

At some point in, or near the summer 2018 MW changed the WUs again, currently it seems that 227.62 & 203.92 WUs are the common ones, so here's a new table with the 227.62 credit WU. The app is still v1.46 for the GPU.
I've added a table for running concurrent WUs as many people do that, & Nvidia cards in particular benefit from doing that. Note though that times from doing that can be more erratic than running singularly.


Requirements for the benchmark :-


Average of at least 5 WU times (not cherry picked please! ;)).


A dedicated physical CPU core for each GPU (for optimal MW WU times). If only using BOINC for CPU tasks, & you have an HT capable CPU, then the only way to be certain of this (bar disabling HT) is to set the BOINC computing preferences (in advanced mode>options) so that you have 1 less CPU thread running then you do physical cores. Don't panic too much about lost CPU ppd, it doesn't take long to run MW GPU WUs ;) (see table).


Please state what speed & type CPU you have, as it now has a significant affect on GPU WU times!


Please state GPU clock speeds if overclocked (including factory overclocks) or state 'stock'.


Please only crunch 1 WU at a time per GPU, preferably. Or if you are running concurrent WUs, state how many & I'll put your time in the 2nd GPU table.


For CPU times please state whether Hyper Threading (or equivalent) is enabled or not, times for both states welcomed.


It would also be useful if you could state your BOINC & driver version, & OS, incase it does make any difference.

If you find your WU times are fluctuating more than a couple of % for singly run WUs then use GPU-Z or your grx card driver tools to check that your GPU is able to hit near 100% load (although I'm not sure that Nvidia cards can hit that for MW). Note that even when crunching normally, the GPU load will be on/off on this current MW app, so the GPU load graph should look like a series of blocks. Just looking at my RX 580, it was going to zero load roughly every 27s.

Also check using task manager that your CPU does actually have the spare load to give to MW (& btw, GPU crunching won't show up in the TM).


Current GPU statistics ~ Average Run Time to Complete 1 MW v1.46 227.62 credit WU :-


HD 7970, GPU 1200 MHz(!) (CPU, Xeon E5 ES 10 core @2.7 GHz (ht off) ...... 38.2s .... tictoc

R9 290, GPU 1000 MHz, (CPU, ???....................) ....................................... 70.9s .... tictoc

HD 7870 XT 3GB(DS), GPU 925 MHz (CPU, C2 Q9550 @3.58 GHz) ............... 73.2s .... Assimilator1

RX 580 GB, GPU 1350 MHz (CPU, i7 4930k @4.1 GHz) .............................. 97.3s .... Assimilator1

RTX 2080 Ti, GPU ???? MHz (CPU, i7-8700K @4.7 GHz no AVX) ............... 110.6s .... IEC

R7 iGPU on an AMD A12-9800 APU (CPU, 4.2 GHz) ................................. 120.3s .... hoppisaur

RX 570, GPU stock (CPU, i7-4771 ?? GHz) ............................................. 121s ....... Jim1348


Current GPU statistics ~ Average Run Time to Complete multiple MW v1.46 227.62 credit WU :-


RX 570, GPU stock (CPU, i7-4771 ?? GHz) (2 concurrent WUs) .............. 194s ....... Jim1348


Current CPU statistics ~ Average Run Time to Complete 1 MW v1.74 227.62 credit WU :-


Previous benchmark thread here http://milkyway.cs.rpi.edu/milkyway/forum_thread.php?id=3551&sort_style=6&start=0

************************************************************

Mods
Please could you stickify this one & un-stick the other one?
Thanks :)

---

Team AnandTech - SETI@H, DPAD, F@H, MW@H, A@H, LHC, POGS, R@H, Einstein@H, DHEP, WCG

Main rig - Ryzen 5 3600, MSI B450 G.Pro C. AC, RTX 3060Ti 8GB, 32GB DDR4 3200, Win 10 64bit
2nd rig - i7 4930k @4.1 GHz, HD 7870 XT 3GB(DS), 16GB DDR3 1866, Win7

It looks like the only tasks I am getting now are 243.61 and 227.15/6/7 point tasks

Here are some results from my Radeon VII
Runtimes are an average of 20 tasks run singly.

OS: Arch Linux kernel 4.20
BOINC Version: 7.12.1
GPU Driver: AMDGPU kernel driver with OpenCL from AMDGPU-Pro 18.50
CPU: AMD Ryzen Threadrippper 2970WX @ 3550MHz (SMT on)

227.15/6/7
GPU: AMD Radeon VII @ 1800/1000
20 WU avg run-time - 18.16s

243.61
GPU: AMD Radeon VII @ 1800/1000
20 WU avg run-time - 19.15s

After pretty extensive testing running 8 tasks concurrently seems to give the maximum throughput on the Radeon VII. No issues running as many as 12 tasks concurrently, but there are zero improvements to overall throughput after 8 concurrent tasks. Running at 8x results in roughly a 75% bump in PPD. (1 million to 1.75+ million)

Assimilator1 -

Have you looked at the Milkyway main mage, Community, Statistics, and then either CPU Models or GPU Models? That shows the relative rating of all of the CPU and GPU models.

What are you trying to do that is not shown there?

That page doesn't show actual runtimes which in turn will give you your possible PPD.

I thought I would post my RX 570 times again, since I am now overclocking it a bit. I never do that with other hardware, but this card benefits a lot from undervolting (to 0.950 volts) and runs quite cool (63 C at only 20% fan speed). I could probably go a little lower, but it freezes at 0.910 volts. GPU-Z shows the average power as 76 watts.

The card is now running at 1348 MHz (1244 MHz is the default) on single work units. I use the ASRock Phantom utility to set the clock and voltage.

OS: Win7 64-bit
BOINC Version: 7.14.2
GPU Driver: Radeon 18.9.3, which is the latest that works with this card; the 19.x.x series does not install.
CPU: i7-4771 running at 3.7 GHz with HT enabled and 2 cores free. (The other 6 cores are running N-Body mt).

The run times are estimates as given by BoincTasks, which after running for several days are quite accurate.

Credit 227: Run time 104 seconds

Credit 243: Run time 112 seconds

I would try it on Linux, except that undervolting is not so easy, if possible at all.

I would try it on Linux, except that undervolting is not so easy, if possible at all.

If interested in running AMD cards under Linux, the Ricks-Lab/amdgpu-utils will allow you to control the cards voltages, fan speeds, power levels and performance modes.
https://github.com/Ricks-Lab/amdgpu-utils

---

Thanks, I can move the card to an Ubuntu machine later.

Please state what speed & type CPU you have: Intel(R) Xeon(R) CPU E5-2630 v4 @ 2.20GHz
Please state GPU clock speeds if overclocked or state 'stock': All stock
It would also be useful if you could state your BOINC & driver version & OS: BOINC 7.12.0, nVidia graphics drivers 418.39, CUDA 10.1, Ubuntu 18.10.


Gonna break this down between a bunch of higher end nVidia Tesla machines. Freshly installed Ubuntu 18.10 virtual machine with 4 CPU cores and 15Gb RAM assigned. Did 10 of each, all 227.* WU.

Single WU Runs

nVidia Tesla K80 - Average: 49.43 seconds
165570106 1732138206 7 Mar 2019, 14:30:35 UTC 7 Mar 2019, 14:41:39 UTC Completed and validated 49.09 26.92 227.16 MilkyWay@Home v1.46 (opencl_nvidia_101)
165570113 1732158674 7 Mar 2019, 14:30:35 UTC 7 Mar 2019, 14:41:39 UTC Completed and validated 50.07 27.20 227.16 MilkyWay@Home v1.46 (opencl_nvidia_101)
165570118 1732223740 7 Mar 2019, 14:30:35 UTC 7 Mar 2019, 15:03:10 UTC Completed and validated 49.23 27.02 227.16 MilkyWay@Home v1.46 (opencl_nvidia_101)
165570141 1732196470 7 Mar 2019, 14:30:35 UTC 7 Mar 2019, 15:03:10 UTC Completed and validated 49.11 27.14 227.16 MilkyWay@Home v1.46 (opencl_nvidia_101)
165569918 1732134432 7 Mar 2019, 14:30:35 UTC 7 Mar 2019, 15:03:10 UTC Completed and validated 49.11 26.93 227.16 MilkyWay@Home v1.46 (opencl_nvidia_101)
165570175 1732138120 7 Mar 2019, 14:30:35 UTC 7 Mar 2019, 15:03:10 UTC Completed and validated 50.22 27.43 227.17 MilkyWay@Home v1.46 (opencl_nvidia_101)
165570176 1732138124 7 Mar 2019, 14:30:35 UTC 7 Mar 2019, 15:03:10 UTC Completed and validated 50.18 27.35 227.17 MilkyWay@Home v1.46 (opencl_nvidia_101)
165570177 1732138184 7 Mar 2019, 14:30:35 UTC 7 Mar 2019, 15:03:10 UTC Completed and validated 49.08 26.82 227.16 MilkyWay@Home v1.46 (opencl_nvidia_101)
165569941 1732159261 7 Mar 2019, 14:30:35 UTC 7 Mar 2019, 14:41:39 UTC Completed and validated 49.18 27.04 227.16 MilkyWay@Home v1.46 (opencl_nvidia_101)
165569947 1732227368 7 Mar 2019, 14:30:35 UTC 7 Mar 2019, 15:03:10 UTC Completed and validated 49.07 26.15 227.16 MilkyWay@Home v1.46 (opencl_nvidia_101)


nVidia Tesla P100 PCIe - Average: 14.96 seconds
165630500 1732177626 7 Mar 2019, 16:00:12 UTC 7 Mar 2019, 16:05:20 UTC Completed and validated 14.06 12.69 227.16 MilkyWay@Home v1.46 (opencl_nvidia_101)
165630251 1732267476 7 Mar 2019, 16:00:12 UTC 7 Mar 2019, 16:09:33 UTC Completed and validated 15.06 13.31 227.17 MilkyWay@Home v1.46 (opencl_nvidia_101)
165630849 1732210271 7 Mar 2019, 16:00:12 UTC 7 Mar 2019, 16:05:20 UTC Completed and validated 15.03 13.05 227.16 MilkyWay@Home v1.46 (opencl_nvidia_101)
165630800 1732006193 7 Mar 2019, 16:00:11 UTC 7 Mar 2019, 16:05:20 UTC Completed and validated 15.08 13.68 227.17 MilkyWay@Home v1.46 (opencl_nvidia_101)
165630835 1731849889 7 Mar 2019, 16:00:11 UTC 7 Mar 2019, 16:09:33 UTC Completed and validated 15.03 12.99 227.16 MilkyWay@Home v1.46 (opencl_nvidia_101)
165630600 1732260102 7 Mar 2019, 16:00:11 UTC 7 Mar 2019, 16:11:30 UTC Completed and validated 15.12 13.11 227.16 MilkyWay@Home v1.46 (opencl_nvidia_101)
165630667 1732288252 7 Mar 2019, 16:00:11 UTC 7 Mar 2019, 16:05:20 UTC Completed and validated 15.07 12.99 227.16 MilkyWay@Home v1.46 (opencl_nvidia_101)
165577925 1732158655 7 Mar 2019, 14:41:39 UTC 7 Mar 2019, 16:00:11 UTC Completed and validated 15.03 12.91 227.17 MilkyWay@Home v1.46 (opencl_nvidia_101)
165577928 1732161593 7 Mar 2019, 14:41:39 UTC 7 Mar 2019, 16:05:20 UTC Completed and validated 15.04 13.31 227.17 MilkyWay@Home v1.46 (opencl_nvidia_101)
165577929 1732161594 7 Mar 2019, 14:41:39 UTC 7 Mar 2019, 16:05:20 UTC Completed and validated 15.05 13.26 227.17 MilkyWay@Home v1.46 (opencl_nvidia_101)


nVidia Tesla V100 SMX2 - Average: 11:04
165630250 1732267472 7 Mar 2019, 16:00:12 UTC 7 Mar 2019, 16:52:41 UTC Completed and validated 11.03 9.34 227.17 MilkyWay@Home v1.46 (opencl_nvidia_101)
165630577 1732299799 7 Mar 2019, 16:00:12 UTC 7 Mar 2019, 16:52:41 UTC Completed and validated 11.03 9.07 227.16 MilkyWay@Home v1.46 (opencl_nvidia_101)
165630578 1732300744 7 Mar 2019, 16:00:12 UTC 7 Mar 2019, 16:52:41 UTC Completed and validated 11.02 9.52 227.16 MilkyWay@Home v1.46 (opencl_nvidia_101)
165630647 1732259839 7 Mar 2019, 16:00:12 UTC 7 Mar 2019, 16:52:41 UTC Completed and validated 11.04 9.10 227.16 MilkyWay@Home v1.46 (opencl_nvidia_101)
165630832 1731849877 7 Mar 2019, 16:00:11 UTC 7 Mar 2019, 16:52:41 UTC Completed and validated 11.03 9.10 227.16 MilkyWay@Home v1.46 (opencl_nvidia_101)
165630834 1731849884 7 Mar 2019, 16:00:11 UTC 7 Mar 2019, 16:52:41 UTC Completed and validated 11.03 9.56 227.16 MilkyWay@Home v1.46 (opencl_nvidia_101)
165630844 1732133330 7 Mar 2019, 16:00:11 UTC 7 Mar 2019, 16:52:41 UTC Completed and validated 11.03 9.08 227.16 MilkyWay@Home v1.46 (opencl_nvidia_101)
165630595 1732208528 7 Mar 2019, 16:00:11 UTC 7 Mar 2019, 16:52:41 UTC Completed and validated 11.05 8.86 227.16 MilkyWay@Home v1.46 (opencl_nvidia_101)
165630669 1732289928 7 Mar 2019, 16:00:11 UTC 7 Mar 2019, 16:52:41 UTC Completed and validated 11.04 9.55 227.16 MilkyWay@Home v1.46 (opencl_nvidia_101)
165630674 1732290272 7 Mar 2019, 16:00:11 UTC 7 Mar 2019, 16:52:41 UTC Completed and validated 11.06 9.20 227.16 MilkyWay@Home v1.46 (opencl_nvidia_101)



Note: There is some type of "rounding" going on when a WU processes this quickly. If you look at both the P100 and V100 results all the times are just over a even second. I find it hard to believe that I have a bunch of 11 second times with no 10.83, 11.24, etc in between but that's what I got.



Multiple WU Runs

nVidia Tesla V100 SMX2 - Average: 24.83 @ 5 WU at a time (4.97 sec per WU average)
(Note: CPU cores increased from 4 -> 8 for this run to support the number of WU's)
165630828 1731799179 7 Mar 2019, 16:00:12 UTC 7 Mar 2019, 16:59:11 UTC Completed and validated 26.15 24.14 227.16 MilkyWay@Home v1.46 (opencl_nvidia_101)
165630850 1732228852 7 Mar 2019, 16:00:12 UTC 7 Mar 2019, 17:00:48 UTC Completed and validated 26.16 24.01 227.16 MilkyWay@Home v1.46 (opencl_nvidia_101)
165630803 1732050297 7 Mar 2019, 16:00:11 UTC 7 Mar 2019, 16:55:56 UTC Completed and validated 24.10 22.38 227.16 MilkyWay@Home v1.46 (opencl_nvidia_101)
165630807 1732229295 7 Mar 2019, 16:00:11 UTC 7 Mar 2019, 16:55:56 UTC Completed and validated 23.12 21.78 227.16 MilkyWay@Home v1.46 (opencl_nvidia_101)
165630297 1732242479 7 Mar 2019, 16:00:11 UTC 7 Mar 2019, 16:57:33 UTC Completed and validated 23.12 20.85 227.16 MilkyWay@Home v1.46 (opencl_nvidia_101)
165630298 1732242485 7 Mar 2019, 16:00:11 UTC 7 Mar 2019, 16:59:11 UTC Completed and validated 24.09 22.18 227.16 MilkyWay@Home v1.46 (opencl_nvidia_101)
165630300 1732242487 7 Mar 2019, 16:00:11 UTC 7 Mar 2019, 17:03:17 UTC Completed and validated 25.12 23.43 227.16 MilkyWay@Home v1.46 (opencl_nvidia_101)
165630571 1732093880 7 Mar 2019, 16:00:11 UTC 7 Mar 2019, 16:57:33 UTC Completed and validated 25.08 22.97 227.16 MilkyWay@Home v1.46 (opencl_nvidia_101)
165630572 1732149794 7 Mar 2019, 16:00:11 UTC 7 Mar 2019, 17:01:40 UTC Completed and validated 27.17 23.75 227.17 MilkyWay@Home v1.46 (opencl_nvidia_101)
165630575 1732260945 7 Mar 2019, 16:00:11 UTC 7 Mar 2019, 16:59:11 UTC Completed and validated 24.17 22.22 227.16 MilkyWay@Home v1.46 (opencl_nvidia_101)

all stock gpu & cpu

x5650 2.933ghz 3@RX-560 1.0 second per credit STATS

x5690 3.47ghz 1@RX-570 0.5 second per credit STATS

x5675 3.07ghz 2@RX-570 0.5 second per credit STATS

the following run 4 wu concurrently giving about 5-6 credits per second

E5620 2.527ghz 1@S9000 0.7 seconds per (4) credits STATS

x5650 2.933ghz S9000 & S9100 0.6 secs per (4) credits STATS

x5690 3.47ghz 1@RX-580 0.44 second per credit STATS

@227.53 credit
1100/1600Mhz Sapphire Vapor-X Tri-X OC 280x (defaults, 61C-67C)
2800Mhz 1090t (has no HT), NB and HTLink OC at 2800Mhz
BOINC 7.14.2, Adrenalin 19.4.3, Windows 10 Oct/2018, also has a GTX 1060 3GB running GPUGrid, 1 available CPU core, DDR3 16GB 2040Mhz (rated 2400, MB limited).

01 WU (191 results): 40.80 sec, 25.2% CPU per WU, 5.55 credit/sec (~0.025 credit/watt)

OC (1219/1699Mhz):
01 WU (125 results): 37.91 sec, 26.9% CPU per WU, 6.00 credit/sec (~0.027 credit/watt)

Multi WU at once improves CPU usage/ WU and credit/sec.

Voltage on this card is locked. Will have to flash BIOS updates with VBE7 to downvolt from 1.225v for better credit/watt scores. GPU-z nor MSI reports the watts; HWInfo reports ~220W at 99% utilization from measuring power supply output. Has dual BIOS button for safety. Will post update after that.

Here are some results from my 5700XT.

The 5700XT is running in an Ubuntu VM. The current drivers for the 5700XT are a mess, and it was much easier to just pass the GPU through to a VM and test with the AMD release drivers.

Host OS: Arch Linux kernel 5.2.3
CPU: AMD Ryzen Threadrippper 2970WX @ 3775MHz (SMT on)

Guest OS: Ubuntu 18.04.2 LTS kernel 4.18.0-25
GPU Driver: AMDGPU-Pro 19.30-838629
BOINC Version: 7.9.3

227.12
GPU: AMD Radeon RX 5700XT @ 1980/1750
10 WU avg run-time - 98.79s

227.51/52/53
GPU: AMD Radeon RX 5700XT @ 1980/1750
30 WU avg run-time (10 per point value) - 96.39s

244.01
GPU: AMD Radeon RX 5700XT @ 1980/1750
10 WU avg run-time - 103.59s

All 300 tasks that I ran, completed without errors or invalids.

If I tuned this VM by pinning CPUs and NUMA nodes, I could probably improve the performance a bit, but this should be within 5-8% of native performance.

Also, if anyone is going to try to run this GPU in Linux at this early stage, there are a whole lot of bugs and issues (fan stuck at 40%, no gpu temp monitoring on the 4.18 LTS kernel, no underclocking or overclocking, etc, etc, etc......)

Interesting Tictoc.
So it would appear that buying 2 x RX580's second hand is about the same price as 1 x 5700XT with similar performance but lower TDP with the RX580? (185W vs 225W)

I'm interested to see how the 5700 XT goes on Einstein....if they ever get the bugs ironed out with future drivers.

---

Assimilator1 -

Have you looked at the Milkyway main mage, Community, Statistics, and then either CPU Models or GPU Models? That shows the relative rating of all of the CPU and GPU models.

What are you trying to do that is not shown there?

What Bluestang said, and I've already covered that question in the op ;).

tic toc
Awesome card the Radeon VII! :D
The 5700 XT looks interesting too, I'd forgotten it existed until you mentioned it! ;), will have have to read up about it.

Jim 1348
I should look into under volting my RX 580, what do you use to test stability though?
Times between different 227.xx credit WUs can vary a fair bit between them.

Jstateson

x5690 3.47ghz 1@RX-580 0.44 second per credit STATS

Interesting stats site you use there, is the credit/s consistent over different credited WUs on the same machine? I have a feeling it doesn't, which would make those stats just a rough estimate unfortunately.
Btw, that site isn't going to the 2nd decimal point.

Btw, as you guys have probably noticed, the WU credit/type has changed again, atm it seems the 227.51 & .53 are the most common.
This frequent change in WU type makes it impossible to collect stats over the longer term, so I am no longer posting stats tables.

But feel free to carry on posting valid task WU times along with it's exact credit to compare amongst yourselves :).
And thanks for the useful stats posted here so far :).

---

Team AnandTech - SETI@H, DPAD, F@H, MW@H, A@H, LHC, POGS, R@H, Einstein@H, DHEP, WCG

Main rig - Ryzen 5 3600, MSI B450 G.Pro C. AC, RTX 3060Ti 8GB, 32GB DDR4 3200, Win 10 64bit
2nd rig - i7 4930k @4.1 GHz, HD 7870 XT 3GB(DS), 16GB DDR3 1866, Win7

Ryzen 2700x @ stock (SMT on); Win10; Boinc 7.14.2; RadeonProEnterprise Driver 19Q2 19.10.18

Gigagyte AORUS Radeon RX580 XTR 8G @ stock
Ø 82,88 seconds per single 227,xx credits WU

Gigagyte AORUS Radeon RX580 XTR 8G @ my favorite Setting: Radeon WattMan 1309 MHz 0,995 Volt GPU; 2130 MHz Memory-Timing-Level 1
Ø 90,07 seconds per single 227,xx credits WU

jstateson

x5690 3.47ghz 1@RX-580 0.44 second per credit STATS

Interesting stats site you use there, is the credit/s consistent over different credited WUs on the same machine? I have a feeling it doesn't, which would make those stats just a rough estimate unfortunately.
Btw, that site isn't going to the 2nd decimal point.

Btw, as you guys have probably noticed, the WU credit/type has changed again, and it seems the 227.51 & .53 are the most common.
This frequent change in WU type makes it impossible to collect stats over the longer term, so I am no longer posting stats tables.

But feel free to carry on posting valid task WU times along with it's exact credit to compare amongst yourselves :).
And thanks for the useful stats posted here so far :).

Have made some improvements to that aspx app

https://stateson.net/HostProjectStats

A much more accurate program (but not web based) is available and described here

https://forum.efmer.com/index.php?topic=1355.0

Both program sources are at github. Feel free to PM me any suggestions or you could also post over at the boinctasks forum.

A12-9800 #1 on Ubuntu 18.04 using amdgpu-pro 18.50 opencl=legacy
227.xx = 96.3 seconds from last 13 valids

A12-9800 #2 (latest purchase already killed a motherboard after 3 days!) on Ubuntu 16.04.6 using amdgpu-pro 17.50 opencl=legacy
227.xx = 96.6 seconds for last 20 valids

Both motherboards are set to C6 = disabled, Core performance boost = disabled, Cool'nQuiet = enabled. Both mobos have 2 x 4gb DDR4 2400. Both BOINC clients are set to using 50% of CPUs.

Watching clockspeeds in terminal, clock speed will sit at 1396 across all "cores" and jump up to the 2-3 GHz range briefly when it is offloading from the GPU. Difficult to tell peak clockspeed as time resolution of terminal window is not that fine.

N body work units, ver 1.76
Intel Core i5 @ 3.79GHz no hyperthreading, no overclocking
last ten valid work units 2018 sec avg, 30.7 credits avg

---

Have made some improvements to that aspx app

https://stateson.net/HostProjectStats

A much more accurate program (but not web based) is available and described here

https://forum.efmer.com/index.php?topic=1355.0

Both program sources are at github. Feel free to PM me any suggestions or you could also post over at the boinctasks forum.

Wow! That's pretty slick! I would have loved to have this sort of analysis available when I was GPU crunching