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I understand that Chisel is a HDL/HCL language to overcome some of Verilog/SystemVerilog restrictions by using higher abstraction level.
And it is open source as well.
It might be a bit naive and presumptuous, but still I would like to ask.
My question is that why do so many similar efforts are working in parallel, e.g. Blusspec, spinalHDL, Pyha etc?
I mean, is there any reason why the development community may not choose one of these and concentrate efforts on stabilizing or enhancing one of these.
That's exactly what is happening now, it just takes a while to choose.
Although the past does not show that the best technology wins, let us hope it does this time.
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I was reading an article about facebook timeline https://www.facebook.com/note.php?note_id=10150468255628920
I always thought this kind of core produces would prefer Cassandra. However it is using MySQL/InnoDB.
Could anyone briefly explain why?
Available internal / external expertise with MySQL (it's easier to google solutions for existing problems)
Cassandra is much harder to reason about due to eventual consistency and limited transaction support
Moving to a new datastore is a lot of pain and it doesn't seem to be justified
You can check out the slides below for their usecases:
MySQL at Facebook
Scale at Facebook
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I want to create a new rails application and I'm not sure whether to use MySQL or Postgres. Which one is best and what is the difference between them?
UPDATE:
The project is a health-care project. It may contain more than 500 tables.
postgres is secure, fast, and full of features but comparatively tricky to use.
MySql has its own benefits along with large user community and vast materials. Immensely helpful if you ever get stuck.
But ultimately it all comes to your preference and framework (apart from rails if your app requires any) support.
Read this for detailed comparison and insights: http://wiki.postgresql.org/wiki/Why_PostgreSQL_Instead_of_MySQL%3a_Comparing_Reliability_and_Speed_in_2007
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"I would like to work on an XYZ fantastic project I have in my mind in
ABC programming language, but I do not feel that I have the knowledge required or that I
am anywhere near experienced enough to perform."
Do you think someone should work on a project (even if it is a small, personal one) and try to acquire skills and knowledge in the process, or he should not even start working on a project unless he has at least a respectable level of experience and knowledge?
No one is born with every thing. Whatever we learn is through our experience. If you keep on thinking that "i cannot do it", well, then you will never do it. If you have stackoverflow , google and confidence in yourself, go ahead. You can get help on anything from here. You will only learn something when you do a real project. Make mistakes and learn from them.
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I was browsing through Mirosoft training website and found that they offer quite a bunch of online courses. Does anyone have any experience with these?
Having been forced to complete some of these dreadful E-learnings, I can tell you that they are boring. They do a very good job of blasting you in the face with all the theoretical knowledge, but they do a poor job of preparing you for the code you will see in the real world.
These are useful in discovering the way that someone in marketing in Microsoft imagines that their software / APIs will be used; they have little to no value in the real world.
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Upon reading a blog post about a minimalist story-generating python program, I was asking myself - and you - which are the most successful attempts at such programs. I remember seeing something using generating grammars, for instance. And which are the best attempts that, like this one, are extremely compact, either self-contained or able to read, say, the Web or an independent textual corpus (but not simply a file with a large number of story chunks)?
Search for Talespin for some famous ground breaking work. (Example: Micro-Talespin in Common Lisp by Warren Sack.)
I actually like Turner's "Minstrel: A Computer Model of Creativity and Storytelling" better :
ftp://ftp.cs.ucla.edu/tech-report/1992-reports/920057.pdf
Talespin is, in my opinion, blind in it's algorithm to everything but planning. So the author goals are given very little consideration (if at all). Minstrel is better that way.