Did you find that at https://cs.stanford.edu/~matei/? 
<https://cs.stanford.edu/~matei/?>  That’s the only thing I can find via Google 
about it.  Do you have more detail or a link to the paper itself?  I get the 
feeling that it is not yet fully complete despite 21 November camera-ready CIDR 
2017 deadline.

For those who aren’t familiar with CIDR, it is a conference that occurs every 
other year.  This year’s agenda/program may be found at 
http://cidrdb.org/cidr2017/program.html 
<http://cidrdb.org/cidr2017/program.html>.  CIDR is not an acronym for network 
subnet masks—the first thing I thought of, Classless Inter Domain Routing, but 
Conference on Innovative Data Systems Research, which focuses primarily on 
systems.  I hate to admit this, but I’m unfamiliar with the conference, however 
that appears that it is because I’ve been out of academia for far too long, and 
this conference seems to be the presentation of quite a few interesting papers. 
 Just judging by title, a poor, yet humorous judge indeed, I like:
- “Dependency-Driven Analytics: A Compass for Uncharted Data Oceans” (Donald - 
Why just data lakes when you can have data oceans?)
- “My Weak Consistency is Strong” (Donald - Great title, reminds me of Star 
Wars and the “Force”)
- “SPOOF: Sum-Product Optimization and Operator Fusion for Large-Scale Machine 
Learning” (Donald - Another brilliant backronym.)

The Weld paper is the last paper to be presented on 10 January 2017 between 
2:30 and 4:05 (UTC-8).

On a side note, looking down that page a little, I love the title of the last 
paper in 2016, Yggdrasil: An Optimized System for Training Deep Decision Trees 
at Scale <https://cs.stanford.edu/~matei/papers/2016/nips_yggdrasil.pdf>.  When 
I see Yggdrasil, the first thing I think of is a really big tree and Norse 
mythology.  It’s a great name.  I’m going to read some of his other papers this 
weekend.

Donald Foss
donald.f...@gmail.com
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> On Nov 18, 2016, at 4:42 PM, Julian Hyde <jh...@apache.org> wrote:
> 
> Anyone know anything about Matei Zaharia’s Weld project?
> 
>       • S. Palkar, J. Thomas, A. Shanbhag, H. Pirk, M. Schwarzkopf, S. 
> Amarasinghe and M. Zaharia. Weld: A Common Runtime for High Performance Data 
> Analytics, to appear at CIDR 2017.
> 
> It seems to have similar goals to Arrow.
> 
> Julian
> 

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