TalkChess.com

With an RTX 2080, how fast does it consume RAM?
I have found that my 1080TI eats 32 GB in an hour, and the analysis slows to a crawl (and the machine starts to get balky).
If you have 2x RTX2080, what is the maximum time you can analyze before RAM is exhausted with 64 GB and with 128 GB?
Has anyone looked into this?
I think that there is a way to limit maximum RAM, but if you do that, how is the analysis impacted?

Dann Corbit wrote: ↑Wed Dec 04, 2019 11:52 pm With an RTX 2080, how fast does it consume RAM?
I have found that my 1080TI eats 32 GB in an hour, and the analysis slows to a crawl (and the machine starts to get balky).
If you have 2x RTX2080, what is the maximum time you can analyze before RAM is exhausted with 64 GB and with 128 GB?
Has anyone looked into this?
I think that there is a way to limit maximum RAM, but if you do that, how is the analysis impacted?

Isn't this just a simple "nodes per second" x "bytes per node" calculation?

I don't know what the NPS of a RTX 2080 or 2x 2080 is. But that's probably the only calculation you'd need to run.

Dann Corbit wrote: ↑Wed Dec 04, 2019 11:52 pm With an RTX 2080, how fast does it consume RAM?
I have found that my 1080TI eats 32 GB in an hour, and the analysis slows to a crawl (and the machine starts to get balky).
If you have 2x RTX2080, what is the maximum time you can analyze before RAM is exhausted with 64 GB and with 128 GB?
Has anyone looked into this?
I think that there is a way to limit maximum RAM, but if you do that, how is the analysis impacted?

With that hardware, knowing the type of analyses you do, you should plan on a minimum of 512 GB of RAM.

zullil wrote: ↑Thu Dec 05, 2019 12:36 am

Dann Corbit wrote: ↑Wed Dec 04, 2019 11:52 pm With an RTX 2080, how fast does it consume RAM?
I have found that my 1080TI eats 32 GB in an hour, and the analysis slows to a crawl (and the machine starts to get balky).
If you have 2x RTX2080, what is the maximum time you can analyze before RAM is exhausted with 64 GB and with 128 GB?
Has anyone looked into this?
I think that there is a way to limit maximum RAM, but if you do that, how is the analysis impacted?

With that hardware, knowing the type of analyses you do, you should plan on a minimum of 512 GB of RAM.

Is RAM necessary? Shouldn't the search tree be effectively cached on a NVMe Optane drive or NVMe Flash drive?

The strict memory requirements of MCTS are probably worth investigating. I'd assume that most "visits" down an MCTS, even with virtual loss, would result in the "same section of the tree" being visited over and over again. So 128GB of RAM, backed by 1024GB of NVMe Flash (operating on an mmap'd section of code or something) probably would work out fine.

At a minimum, the root of the MCTS tree would be visted over-and-over again (and therefore be cached in RAM). But most of the nodes in a 512GBs MCTS tree won't be revisited.

Dann Corbit wrote: ↑Wed Dec 04, 2019 11:52 pm With an RTX 2080, how fast does it consume RAM?
I have found that my 1080TI eats 32 GB in an hour, and the analysis slows to a crawl (and the machine starts to get balky).
If you have 2x RTX2080, what is the maximum time you can analyze before RAM is exhausted with 64 GB and with 128 GB?
Has anyone looked into this?
I think that there is a way to limit maximum RAM, but if you do that, how is the analysis impacted?

Hi Dann,

A NN engine on my RTX 280 Ti eats 32GB in about 30 minutes. After an hour, most of my RAM is consumed. The PC becomes sluggish and my mouse sometimes then disappears. Switching to a new position doesn't always free up the consumed RAM. So, I have to exit my NN engine and then return to get sufficient RAM back

Another mystery is that GPU usage sometimes drops. Normally it stays around 98-99%, but over time it can drop to near 0%.

All the best,
-Steve-

NN engines do not need fast working memory/page file.
So if you set up a big (50-100 GB or more GB) page file on a HDD it may be appropriate.
Obviously if you use SSD instead of HDD it will be better.

I already have one, but I might buy another one of these:
https://www.newegg.com/gigabyte-aorus-2 ... 6820009013
I saw that the motherboard can handle it.

Dann Corbit wrote: ↑Thu Dec 05, 2019 1:11 am I already have one, but I might buy another one of these:
https://www.newegg.com/gigabyte-aorus-2 ... 6820009013
I saw that the motherboard can handle it.

If you would buy a common SSD and connect to a SATA driver it would be good too.

I bought a 2 TB PCIE4 SSD for my swap space. It does 5 gb/sec read and 4.4 gb/sec write.
With extended guarantee, I paid 500

I was under the impression that NN engines didn't need nearly as much traditional hash space as AB engines. Is that not correct?