Welcome to the Distributed Computing Forum ... say Hello

[Nephross]

Welcome to the team.

Welcome to the Team Nephross

Thank you

 

[indydude345]

Hey everyone! Not a new member but returning from being dormant. I am armed with my 1060 and science!

 

[Assimilator1]

Welcome back

 

[JWMiddleton]

Thanks for the stats Tony!

 

[Assimilator1]

Replied to the wrong thread?

 

[Fardringle]

Hi. I'm (not) new here. My name is Fardringle and I am an addict.

It has been 10 minutes since my last stats fix and I feel pretty good so far. I think I might even make it a whole hour before my next "fix".

Whew! I'm glad I got that off my chest! Thank you for letting me share...

 

[AshlayW]

Hello you delightful individuals. This is not sarcasm, this is genuinely my Pleased Greeting because I am Happy.

There is a World Community Grid / Folding at Home team here?

I have... a rather considerable deployment of processors that are in need of a focus to aim towards, and a leader board to work on.

If you have Biscuits or Cookies, I might be inclined to throw some of that Compute Power your way.

 

[Markfw]

Hello you delightful individuals. This is not sarcasm, this is genuinely my Pleased Greeting because I am Happy.

There is a World Community Grid / Folding at Home team here?

I have... a rather considerable deployment of processors that are in need of a focus to aim towards, and a leader board to work on.

If you have Biscuits or Cookies, I might be inclined to throw some of that Compute Power your way.

We have both. I am currently number one in WCG for our tam. I am number 2 on folding. Number 30 in the world for folding. Please join !

 

[VirtualLarry]

We have both. I am currently number one in WCG for our tam. I am number 2 on folding. Number 30 in the world for folding. Please join !

Maybe... mention our teams to join?

I believe that we are team #198 in F@H, and I don't recall if we are TeAm Anandtech, or just Team Anandtech, in WCG.

 

[TennesseeTony]

Hello you delightful individuals. This is not sarcasm, this is genuinely my Pleased Greeting because I am Happy.

There is a World Community Grid / Folding at Home team here?

I have... a rather considerable deployment of processors that are in need of a focus to aim towards, and a leader board to work on.

If you have Biscuits or Cookies, I might be inclined to throw some of that Compute Power your way.

Greetings and much welcome! We are quite pleased you are considering joining our TeAm!

Indeed, we have a Folding Team, team 198, as V-Larry mentioned, and we have teams created in nearly all other projects, including of course our beloved World Community Grid. When choosing a team for a BOINC project, merely search for Team Anandtech. I look forward to seeing your name in our weekly DC stats posted every Sunday.

 

[StefanR5R]

Here is the link to the [Join Team] button of our WCG team. :-)
TeAm AnandTech page at worldcommunitygrid.org

 

[Fardringle]

Hello you delightful individuals. This is not sarcasm, this is genuinely my Pleased Greeting because I am Happy.

There is a World Community Grid / Folding at Home team here?

I have... a rather considerable deployment of processors that are in need of a focus to aim towards, and a leader board to work on.

If you have Biscuits or Cookies, I might be inclined to throw some of that Compute Power your way.

Hi AshlayW! Welcome to the TeAm. (Dunno why we capitalize the name like this: TeAm AnandTech. But it's kind of a tradition. )

 

[AshlayW]

Thanks guys and gals and everyone in between. By the way, I am just finishing up a challenge on my own Team (SashlecatCrunch) then I will join and put my, uh... farm to work... My farm ain't the biggest but it's all mine! Crunchy tasty Science.

CPUs at my disposal:

24/7:
TR 1920X (12c/24t)
4x R7 2700 (32c/64t)
R5 2600X (6c/12t)
R5 3400G (4c/8t)
Athlon 3000G (2c/4t)

part time (overnight):
TR 2950X (16c/32t)

GPUs:

24/7:
GTX 1660 Super
GTX 1650 Super
RX 590

Part time (overnight):
RTX 2080 Ti



Edit, I am just going to grab a slice of this pie then I'll be ready. because I want a slice of that pie. Pie is good.

Hey so does Anandtech have a pie?

 

[Endgame124]

Thanks guys and gals and everyone in between. By the way, I am just finishing up a challenge on my own Team (SashlecatCrunch) then I will join and put my, uh... farm to work... My farm ain't the biggest but it's all mine! Crunchy tasty Science.

CPUs at my disposal:

24/7:
TR 1920X (12c/24t)
4x R7 2700 (32c/64t)
R5 2600X (6c/12t)
R5 3400G (4c/8t)
Athlon 3000G (2c/4t)

part time (overnight):
TR 2950X (16c/32t)

GPUs:

24/7:
GTX 1660 Super
GTX 1650 Super
RX 590

Part time (overnight):
RTX 2080 Ti



Edit, I am just going to grab a slice of this pie then I'll be ready. because I want a slice of that pie. Pie is good.

Hey so does Anandtech have a pie?

Well, we don't have pie, but we do have weekly DC stats:

Weekly DC Stats - 27SEP2020

Welcome back everyone! I am off to work, so I will get right to it. Amicable Numbers overall position - 7 TeAm total for the week - 44,079,776 TeAm rank for weekly production - 3 __Credit/week _ UserName 1_______17,582,689___Icecold 2_______14,103,067___biodoc 3_______9,543,326____xii5ku...

forums.anandtech.com

And given we have the stats, we could certainly bake a pie with them. .... I might have to look into that.

Edit: Come to think of it, we do have some pi here:

The Raspberry Pi Thread

Table of Contents and Change Log Why use a Raspberry pi? -Overview -Pi Versions -Resources / Links Pi OS and installation. -Preferred OS for Boinc only -Other OS -Tweaking Raspbian Lite for DC use Pi Tweaks and Configuration. -Shutting down non essential hardware -Over / Under clocking...

forums.anandtech.com

 

[Immy74]

I've been doing distributing.net since rc5-64. I've always used cpu moo client and cuda moo client (when it became available). Now question is, why am I getting a lower key count using cpu+gpu vs just gpu by self? 16k cpu+gpu, 23k gpu only.

 

[Icecold]

I've been doing distributing.net since rc5-64. I've always used cpu moo client and cuda moo client (when it became available). Now question is, why am I getting a lower key count using cpu+gpu vs just gpu by self? 16k cpu+gpu, 23k gpu only.

Usually when CPU+GPU is lower than GPU only it means that there is not enough CPU resources available to fully utilize the GPU. If you run GPU-z you can see what the load is on the GPU when it's running - if it's close to 100% when not running CPU as well, but is lower than that running both it would tell you that there aren't enough CPU resources.

 

[StefanR5R]

@Immy74, hello and welcome! :-)

What @Icecold said. It's been a while since I last ran the dnet client (via Moo! Wrapper). But at least the CUDA application, like virtually all CUDA applications, most certainly has got a CPU thread running which continuously polls GPU state, and occasionally copies data. An interrupt handler of the GPU driver may be involved too. Hence, keep a core of the CPU spare for this. If you have an Intel CPU with Hyperthreading, it may even be beneficial to leave 50% + 1 threads of the CPU unused. Or leave the CPU unused entirely (except for the CUDA application) in order to get maximum boost clock for it.

The rationale is that the GPU is so much more productive at dnetc, that it hurts less to reduce CPU allocation for the CPU-only client, or leave that one off entirely, than it hurts to give insufficient CPU capacity to the GPU feeder thread.

There is also an OpenCL version. Unless memory plays tricks on me, that one works better than the several CUDA versions at moowrap.net. My boinc data directories have files in them which tell me that I enforced the use of the OpenCL client instead of the CUDA client as recently as July 2020. Besides better performance in general, it is possible that the dnetc Nvidia-OpenCL version also uses less CPU than the CUDA version.

 

[AshlayW]

Hi guys/gals my apologise for the delay. I am now ready to join the Team!

edit: Joined!

So many Numbers. So Little Time. So much science to be done. :O

 

[VietOZ]

There is also an OpenCL version. Unless memory plays tricks on me, that one works better than the several CUDA versions at moowrap.net. My boinc data directories have files in them which tell me that I enforced the use of the OpenCL client instead of the CUDA client as recently as July 2020. Besides better performance in general, it is possible that the dnetc Nvidia-OpenCL version also uses less CPU than the CUDA version.

OpenCL does perform better on Moo, only slightly though, and that's comparing with CUDA 7. CUDA version is actually using less CPU than the OpenCL version. OpenCL you'd need 1 thread per task on either linux or windows.

 

[WharffRat]

WharffRat here...
Currently running Amicable Numbers and PrimeGrid...
Was a Seti guy from way back when...........................
Just one computer running on it's down time for now.....
I do have a box of parts, that I could make at least 2 rigs out of....so you might see more come online when I get around to putting them together and turning them up

 

[VirtualLarry]

WharffRat here...

Greetings and hello!

 

[Fardringle]

Hi and welcome to the team!

 

[Assimilator1]

Welcome WharffRat

Oh, also an x SETI cruncher here too.

 

[lane42]

Was a Seti guy from way back when...........................

 

[amdxborg]

Hey guys, how are you doin? I haven't been crunching for a while, so just stopping by say hi.

I've browsed the forums and I am missing an old timer from back in the day. Blackmountaincow - Christian Diepold

Anyways, happy holidays to all!

Cheers
Johan