Please do yourselves a favor if you haven't already and check out the tacos at Taqueria el Sabor del Parque on the south side of Patterson Park. Also while you're in the area, grab a kilo of tortillas from El Taquito Mexicano in Fells.

Not true. You can select CPU and/or GPU. You can even choose to use specific GPUs by index number. So it's quite flexible.

In that case it's a GUI problem, I could not figure out how to do any of that. I only want to use the GPU = preferably zero CPU cores.

I thought homomorphic encryption was supposed to fill the niche of allowing one to securely run VMs in a cloud environment. I've not heard of serious progress on this front the last time I went looking. Will we always require hardware with a "secure enclave"-like device to safely store keys in a public cloud? Is it possible to implement this scheme purely in software or is some "trusted" hardware always necessary?

Forewarning, I am by no means an expert on anything that follows.

Homomorphic encryption would allow for "true security" where the party doing the computation doesn't ever have the encryption keys necessary to see what data they're operating on. This is something more akin to a TPM. The key that can read all of the data is in the possession of the party doing the computation, but it's stored in the CPU and the CPU will not give that key to anyone. Theoretically the key could be read off of the CPU but in practice this would require either a flaw, sidechannel, or a lot of time with an electron microscope.

For practical purposes, I believe that all implementations of secure cloud computing are going to be like this where the key is just secured physically. It's possible with homomorphic encryption to have someone securely do computations on data that they can't see all in software, but I just don't see any major breakthroughs happening that would make this fast enough to be practical.

Homomorphic encryption is currently hilariously slow as I understand it, and even if you solve that it can't branch on data. All paths have to be evaluated and summed.

What about hard drives in a datacenter? Polling read latency for instance of a couple thousand drives could provide enough data. Has this been attempted before?

Those drives are all in one location. In addition to being many, the sensors also need to be widespread.

I also read through the comment thinking.. deja vu? But yeah it was a copy paste from three weeks ago.

Are there any devices that ship with Android that could be reflashed to support a Linux kernel with KVM or Xen bits? Either Intel Atom or ARM-based devices?

To add onto this, my boss is very well renowned in his field. Is it generally ill-advised to have a boss that is also a mentor?

Many of the datasets that I've seen in academia are stored in static SQL databases that tend to be about 10-20 terabytes. Where does this leave individuals with limited resources who would like to query large databases without having to juggle the data management side of research? Are there softwares that make database querying P2P accessible?