slizard

6 ms·

1.
by slizard 4y ago
Hard no. Amazon EFA can barely come close to a dated HPC interconnect from the lower part of the top500 (when it comes to running code that does use the network, e.g. molecular dynamics or CFD), Azure does offer Cray XC or CS ( https:/
2.
by slizard 6y ago
In fact, _better_ than Chrome for most websites (exceptions perhaps google's). I used to struggle with Chrome/Chromium hang and chew on CPU cores, crawl to a halt, crash, or just simply run out of memory or a regular basis. Switch
3.
Codeplay's Contribution Brings Nvidia Support for SYCL Developers(codeplay.com)
1 points by slizard 6y ago|0 comments
4.
Should scientists infect healthy people with the coronavirus to test vaccines?(nature.com)
3 points by slizard 6y ago|0 comments
5.
by slizard 7y ago
Without HBM or more memory channels, the top SKUs will be rather hard to feed considering the (claimed) at least ~3-5x increase in instructions/s/socket while only increasing memory bandwidth by ~20%.
6.
by slizard 7y ago
> But that has little bearing on either what’s possible in the future, There is certainly a chance that 10-100x more flops will appear on the fah network, but as I said I just don't believe it will happen. > nor why they aren’t s
7.
by slizard 7y ago
Unfortunately typically there is no way to directly donate funds (especially not $10, even if there are 10000 people who'd do that on a monthly basis) to some research (group) of one's choosing. Therefore the choice is whether to
8.
by slizard 7y ago
> I do agree it's difficult to formulate how to ask for donations (money or cpu-time), you need to seem optimistic otherwise nobody would do it but research takes a huge amount of money and cpu-time and calendar time so there surely
9.
by slizard 7y ago
On a second thought, projects like the Exscalate4CoV [1] might have a chance to contribute even short-term as they do have the explciit goal to also focus on "Identify virtually and quickly the drugs available, or at an advanced stage
10.
by slizard 7y ago
We're talking about Folding@Home not any (or all) distributed computing project(s). I've not seen recent stats on the size of the FAH network, so not sure how does it compare to large supercomputer resources, but plots available t
11.
by slizard 7y ago
My colleagues run numerous projects that transfer knowledge between computational research, including molecular simulations, and wetlab research as a routine. Computational and wetlab experiments are reguarly designed to complement each-oth
12.
by slizard 7y ago
> But Folding@Home is setup for home, Nothing prevents running the fah client on nodes of a compute cluster -- in fact my colleagues did that (while running a local F@H server), though that was a number of years ago just because they wan
13.
by slizard 7y ago
I agree. In fact, donating in other ways, e.g. giving free programming, HPC etc. education to more researchers can have a higher impact on the long run.
14.
by slizard 7y ago
> Does anyone else do it better? To that question, assuming by "anyone" here you are asking about other donate-your-cycles-distributed-computing-projects: I am not too familiar with how well-optimized the codes of different @h
15.
by slizard 7y ago
> When donating money or compute time, I want my donation to be used efficiently and not be wasted by high overheads. Fair point. I think this is something you should bring up with the authors of Folding@Home. I do not work on that proje
16.
by slizard 7y ago
Sure, I'm aware that this is fundamental research (likely not on actual protein folding, but haven't looked at the details), which will probably not have short-term outcomes, not on the timescales required for a 1st gen vaccine (p
17.
by slizard 7y ago
Can you please elaborate? Are you referring to the F@H CPU "cores" being outdated and inefficient?
18.
by slizard 7y ago
It would be nice if NVIDIA donated compute time on one of their large in-house machines the DGX SuperPOD [1] or the DGX SAturn V [2] (#20 and #67 on the last Top500, resp.) for COVID-19 research. Running simulations in a data-center is far
19.
by slizard 7y ago
[Disclaimer: How do I know this stuff? I'm a core developer of GROMACS, one of the major molecular dynamics simulation FOSS community codes. Molecular dynamic is the algorithm/method behind the F@H simulations. I work as a researc
20.
by slizard 8y ago
Hahha, good one. Just that by the time that one dev implements everything, you'll be overtaken by the competition -- at least that's what everyone's fear is, and it's partly warranted.
21.
by slizard 8y ago
Well, those who were willing to pay the ~$150k for the DGX-1 (Volta-16Gb upgraded IIRC), won't necessarily find it too much -- and NVIDIA is after quick money before the markets start slipping down the hyper curve. You also do get quit
22.
by slizard 9y ago
Wild guess / conspiracy theory: Intel, afraid of the damage to their image just made worse by diminished performance advantage compared to AMD )due to Meltdown), fearing long-term market loss, quickly found ways to tackle the issue by,
23.
Gustafson's comment on the plagiarism in recent “Bounded Floating Point” patent(insidehpc.com)
6 points by slizard 9y ago|0 comments
24.
by slizard 9y ago
First indications of early KAISER fix testing in the wild..? (which might have also been a test to see how will customers react)
25.
by slizard 9y ago
That's correct and it is a fair way to see it. However, Intel dragging two of its main competitors name into the limelight is a rather uncool move.
26.
by slizard 9y ago
research != deep learning > should make cloud GPU time cheaper and/or more efficient. No way. These will be not put in data centers of cloud providers. I'm not even sure many regular data centers will have anything like this -
27.
by slizard 9y ago
I'm saddened by the arrogance you display. Does your definition of "world" really not go beyond the "coastal cities" and "North America"? Are you seriously assuming there are no ML researchers outside of t
28.
by slizard 9y ago
CUDA version compatibility, for instance. Every new release requires new series of drivers.
29.
by slizard 9y ago
Your story sounds very familiar. Add to that list the regular regressions in new driver release that require rollback, but the binary blob drivers sometimes forget to clean up properly and you can end up in a library mixup hell... no fun. O
30.
by slizard 9y ago
> It is strange that you expect to be able to buy the server grade GPUs for GeForce series prices Respectfully, you are clearly missing the point. You can buy <$500 USD Xeon Silver parts (and fairly affordable barebone workstation or

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