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LWN.net Weekly Edition for May 23, 2013
An "enum" for Python 3
An unexpected perf feature
LWN.net Weekly Edition for May 16, 2013
A look at the PyPy 2.0 release
"entire computing capacity of the university" - while no doubt academic institutions carry a
great deal of computing capacity these days, I suspect that should read "universe"?
The Kernel Hacker's Bookshelf: Ultimate Physical Limits of Computation
Posted Jun 19, 2008 10:08 UTC (Thu) by NRArnot (subscriber, #3033)
Posted Jun 19, 2008 11:05 UTC (Thu) by corbet (editor, #1)
Clearly a typo, I'm not quite sure how we missed it. Fixed now.
Posted Jun 19, 2008 15:20 UTC (Thu) by utoddl (subscriber, #1232)
Posted Jun 20, 2008 14:40 UTC (Fri) by mtorni (subscriber, #3618)
If you drop the optional qualifier you can increase the (already lossy) compression and
achieve a notable compression with a tiny loss in useful resolution.
Posted Jun 23, 2008 17:17 UTC (Mon) by salimma (subscriber, #34460)
Yes; from 4 bits to 3 bits; a saving of 25% !
Posted Jun 26, 2008 8:27 UTC (Thu) by forthy (guest, #1525)
But most of the mark details are useless, all you require is a single
bit "pass" or "fail". Nobody is going to read your detailed marks for
each semester exam later in your career. For all reasonable degrees, it's
basically a two-bit information: Dropout, Bachelor, Master, PhD. Don't
think "dropout" is a career limiter: The world's richest man is a
I'm quite sure I'll see several limits to the exponential growth in my
lifetime (probably the next 50 years), at least I already experience one
(probably temporal) limit: clock frequency didn't go up much the last 5
years. There however is a way to get more power out of computers: write
better software. It is amazing what vintage computer fans get out of
ancient designs. We are used to write software for computers that get
faster and have more memory, so we write a lot of slow, bloated
Due to the fact that single-threaded CPUs don't get (significantly)
faster anymore, we probably should start right now: Use better algorithms
to make single-threaded programs faster.
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