Colab question

[kladner]

OK. I saw the advice to rename, but I only named the instances Note 01 and 02. I'll create another key, then.
Oh, and thanks again. This is a fun thing to poke at, but I'm still learning a lot of it.

[kladner]

Originally Posted by chalsall

In order to automatically have results be submitted to Primenet, the system needs to know your Primenet Username (but not your PW). Please go to your account settings page, and enter this information on that form.

Then your results appear in your usual Completed Assignments report.

Thanks for trying out the GPU72_TF'ing thing. Also, so you know, when GPU72 knows your PNUN, you'll also be given P-1 work to do in parallel, on the CPU. Not terribly fast, but it all adds up...

Hey Chris,
I just went to the account settings page and found that I had entered kladner as klander. I'm not sure how any results are showing up. It doesn't seem that I can change it.
Also, on my first key, where I have two notebooks running, can I just stop using the second one and let the other pick up the assignments? Or tell it to stop getting assignments and finish what it's got?


But meanwhile, I got 4 instances running and showing up in GPU72! Had to resolve a 'Too many sessions' issue. Finally terminated them all, reset the notebooks, and restarted them gradually, though I don't know if that matters.

[LaurV]

Originally Posted by kladner

Try turning them on together.

Don't. Check CPU resources used by the browser. They may or may not increase (depending on your CPU) but generally, all animations (unless is a stream) run locally, taking few percents of your locally running P95. Less animations in your browser/screen, more resources for P95 running in background.

[kladner]

Originally Posted by LaurV

Don't. Check CPU resources used by the browser. They may or may not increase (depending on your CPU) but generally, all animations (unless is a stream) run locally, taking few percents of your locally running P95. Less animations in your browser/screen, more resources for P95 running in background.

Agreement. It was cute for a minute or two at most.

This is a series of notes while I have getting a grip on various Colab procedures. The sections are probably hours apart.

About P100 versus T4: maybe this is one of those heavy user limitations. This is relative to a discussion earlier of paid accounts only getting P100 GPUs, while some free users get frequent T4 access, which are substantially faster.

Saturday: After a lot of messing around I am finding that High-RAM is troublesome. It seems that the only way to use it is to set it for all Runtimes. There is no way I have found to know which P-1 runtimes are going to be doing Stage 2 assignments. It seems wasteful, and I suspect it would be another reason for being throttled.

Follow up: I got 2 notebooks to go into High RAM mode for S2, but they both are only using 10.78GB out of ~25 GB available. 10.78 fit in the standard memory of 12 something. Do they have to have Hi-RAM enabled from the beginning of the run?

More fussing with RAM. Getting the notebook to shift back to standard memory takes factory reset, prodding, and patience as things realign themselves. When it gets going again, it is only using 9 of 12+GB. I'm not sure if an additional 1.7GB is enough to matter. Can the program be set to use more? There are probably 21-22GB available in Hi-RAM mode. I see this line in the P-1 launch:
99904531 using up to 10240MB of memory. Can that be doubled? That would get almost in range of doing 480 relative primes in one pass.

Later still: I can switch freely between High and Standard RAM. It takes a few seconds, although the runtime sometimes glitches. A Factory Reset will snap it out, I don't know at this point what assignment will come up: S1 or S2. A bother, but switching RAM size can transition while underway. Also clear the screen.

This is really cool! I am having a blast!

[mrk74]

Would I be right in assuming you can only do TF and P-1 with Colab? Was hoping to maybe do some LL but if I'm looking at it right that's not a possibility right?

[kladner]

Originally Posted by mrk74

Would I be right in assuming you can only do TF and P-1 with Colab? Was hoping to maybe do some LL but if I'm looking at it right that's not a possibility right?

I don't know for sure if there's any work being done on LL. My personal feeling is that the CPU's aren't that fast: Intel Xeon E3-1230 v6 @ 3.50GHz, and you get one core. The thing to check for is if anyone is getting CUDALucas set up to run LL on notebook GPUs. There's a good bit of discussion and instruction in this thread that might help. Also, more knowledgeable folks will have more to say. I've only picked up on this in the last few days.

[chalsall]

Originally Posted by mrk74

Would I be right in assuming you can only do TF and P-1 with Colab? Was hoping to maybe do some LL but if I'm looking at it right that's not a possibility right?

Colab is a general-purpose GPU and/or CPU ephemeral compute environment, so doing LL/PRP is certainly possible. Probably using an attached Google Drive for persistent storage between instance runs. See Ken's reference area for some ideas on how you might proceed.

GPU72's Notebook is focused on TF'ing (on the GPU) and P-1'ing (on the CPU). I don't have any plans to expand into First Checking. In addition to being super busy, there's the question of what would happen if a Colab instance found the next MP...

[Dylan14]

Originally Posted by mrk74

Would I be right in assuming you can only do TF and P-1 with Colab? Was hoping to maybe do some LL but if I'm looking at it right that's not a possibility right?

You can do LL on a Colab instance (and really any work that PrimeNet can dish out). You'll need my mprime notebook code in order to run it. With that code you'll need to change the line V5UserID=Dylan14 to your PrimeNet ID.
There are a few issues with PRP though. See kriesel's post on mprime in Colab.

[kladner]

I feel like a kindergarten kid on time out. My notebooks were disconnected this morning. When I tried to restart one, the GPU Nazi kicked in, "No GPU for You!" Aw shucks. I only managed to quadruple my throughput in the last few days.

[chalsall]

Originally Posted by kladner

I feel like a kindergarten kid on time out. My notebooks were disconnected this morning. When I tried to restart one, the GPU Nazi kicked in, "No GPU for You!"

Nominal behavior. You'll get used to its "mood(s)" after a few days of use. I have mental temporal alarms set in my head now -- "Oh, it's 1300 UTC. Time for SSG to get to work..."

Originally Posted by kladner

Aw shucks. I only managed to quadruple my throughput in the last few days.

Yeah. Not too bad for $10 USD a month, huh? I'd happily pay for the Pro version, if they'd just let me. Oh, also, I've moved my last running Barbados based GPU (a slow and inefficient 560) into standby, since it was only producing ~200 GHzD/D.

[kladner]

It's great! I think I will try the second Google account to see if I can get any T4s.
I am letting the current assignments on the GTX1060 run out. No need to feed more local electricity for such a small return. Maybe I'll put that card back to actual display work. I've been running display with the onboard adapter, but switching will also allow better co-processing for graphics programs.

EDT: Well, scratch the above, for now. I apparently don't know how to cover my tracks sufficiently. I got outed instantly.