math_and_stuff

9 ms·

61.
by math_and_stuff 11y ago
I meant that the parent's analysis in his footnote of what the minimum position and starting salary would be for a faculty member to ever move is setting the bar too high; it seems my wording was vague. His academic numbers seem spot o
62.
by math_and_stuff 11y ago
You're setting the bar for hiring faculty members far too high. Perhaps you mean tenured CS faculty? (Source: Stanford faculty in the process of moving to Google Research)
63.
by math_and_stuff 11y ago
I think you might have misunderstood my comment; I was referring to the bullet point under "What didn't work": > Reduction speed: The computation of normalized temperature, z, took a surprisingly long time. I’d like to loo
64.
by math_and_stuff 11y ago
This is great! Any guesses as to what is leading to the large reduction times?
65.
by math_and_stuff 11y ago
There are definitely top-notch journals largely serving this purpose. And I know several academics tenured via such a strategy. I'll refrain from writing a wall of text on this, but my main point would be that the current objective fun
66.
by math_and_stuff 11y ago
Too bad I'm not in a CS department. But, on a serious note, when I asked this point-blank at an orientation for new professors, the response from a senior EE professor was "never work on anything that won't lead to a publicat
67.
by math_and_stuff 11y ago
Distributed [1] is very new and seems to have similar core architectural goals as TensorFlow. But perhaps I'm being too politically correct: both make use of very course-grain parallelism relative to a typical distributed-memory linear
68.
by math_and_stuff 11y ago
Also, I should clarify that the library was originally orthogonal to my PhD work and done at home on my laptop at night. The very early version of the library was about a summer's worth of full time (unfunded) work. I didn't start
69.
by math_and_stuff 11y ago
This is a great point. I'm an outsider in the optimization and OR communities (having started out in HPC linear algebra) but have a lot of respect for what I've seen from COIN-OR.
70.
by math_and_stuff 11y ago
As of a few days ago, Elemental supports a BigFloat class which wraps MPFR along with MPI wrappers and distributed matrix classes which template over it. It would be a modest project to support other datatypes, as the main obstacles are MPI
71.
by math_and_stuff 11y ago
The brutally honest answer would be that I prioritize its development above everything else. I have no idea if this is sustainable in the long term, but I don't plan on slowing the development down as long as I have an income. When I w
72.
by math_and_stuff 11y ago
I would say that the goals align much more than the current approaches, which are somewhat orthogonal. My focus in developing Elemental has been on expanding from the scope of libraries like ScaLAPACK (which focused on distributed dense lin
73.
by math_and_stuff 11y ago
I'm definitely happy that the PETSc developers have put up with Elemental being such a moving target (it has expanded from dense factorizations to sparse-direct, Interior Point Methods, and now some number theory), as there have been s
74.
by math_and_stuff 11y ago
The idea has been to use the naive (in the sense of being distribution agnostic) batched interface to filling/querying Elemental's distributed data structures to interface with Julia's `DArray`. This essentially boils down to
75.
by math_and_stuff 11y ago
I am the lead author of Elemental and am surprised to find this here. I'll try to answer any questions.
76.
by math_and_stuff 11y ago
The original creator of numpy (Travis Oliphant) was a professor working in scientific computing. And numpy is a library, not a language. Thank you for your constructive criticism of freely distributed gifts to the community.
77.
by math_and_stuff 11y ago
Less fancy landing page? No fancy names in the title? Marketing works.
78.
by math_and_stuff 11y ago
Wow, more surprising than this being open source from Microsoft, it is based on MPI.
79.
by math_and_stuff 11y ago
If you're interested, Prof. Farhat is very well known for the FETI method [1], which is likely what is being alluded to by the article. But the article as written is devoid of any description of what was interesting about the calculati
80.
by math_and_stuff 11y ago
This is complete fluff without quantifying the properties of the algebraic system. 1D PDEs with billions of variables can easily be solved in seconds on a laptop. Fully 3D highly indefinite equations are another story. The university press
81.
by math_and_stuff 11y ago
I'm working on it...see https://github.com/elemental/Elemental
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by math_and_stuff 11y ago
Can't scale in a weak, strong, or asymptotic complexity sense? And for what sorts of problems (I assume you're thinking of 2D and 3D PDEs discretized with local basis functions)?
83.
by math_and_stuff 11y ago
The Lagrangian on the last page associated with computing the maximal eigenpair should probably have the term lamba (x^T x - 1), not lamba x^T x. The latter gets the gradient with respect to x right, but not the gradient with respect to lam
84.
by math_and_stuff 11y ago
Greenwald couldn't figure out how to use PGP on his own and then frequently communicated via CryptoCat. His OpSec skills at the time of the leak were questionable at best.
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by math_and_stuff 11y ago
Is there any detailed breakdown of the data that led to conclusion 5?
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by math_and_stuff 11y ago
"So there [sic] are no need to use tree allreduce [...] These big inventions from Spark..."
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by math_and_stuff 11y ago
Since when did Spark invent tree allreduces (which have been standard practice within MPI for decades)?
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AMD switches from proprietary ACML to open source BLIS/libFLAME(developer.amd.com)
9 points by math_and_stuff 11y ago|0 comments
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by math_and_stuff 11y ago
Actually, many optimized BLAS/LAPACK implementations are not written in Fortran. Many are a mix of C and assembly exposed through the standard Fortran interface.
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by math_and_stuff 11y ago
Listening to him talk really doesn't inspire much confidence. Especially his claims that GaAs "enables quantum computing".

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