5:32
parallel works 2
BafBaf! Do You Like Being That...Fired Up? タグ:gurrenlagannworksviralkamina 投稿日: June 23, 2008, 1:07 am 閲覧数: 5438 投票: 4.50(５点満点) 36 人の平均
Elliot Minor - Parallel Worlds
2:58
The original video for elliot minor's single "Parallel Worlds" タグ:elliotminorworldsnewsingle 投稿日: March 11, 2007, 12:19 am 閲覧数: 1224344 投票: 4.80(５点満点) 3517 人の平均
Strange Parallel
28:23
A documentary about Elliott Smith. The sound quality isn't the best but it is the FULL version. タグ:elliottsmithstrangedocumentary 投稿日: March 8, 2006, 3:34 pm 閲覧数: 65451 投票: 4.90(５点満点) 346 人の平均
(exclusive!!!!!)---red hot chili peppers---(exclusive!!!!)
4:30
the best songs with the best quality
(parallel universe)
Deep inside of a parallel universe
It's getting harder and harder
To tell what came first
Under water where thoughts can breathe Easily
Far away you were made in a sea
Just like me
Chorus:
Christ I'm a sidewinder I'm a
California King
I swear it's everywhere
It's everything
Staring straight up into the sky
Oh my my a solar system that fits
In your eye Microcosm
You could die but your never dead spider web
Take a look at the stars in
Your head fields of space kid
Chorus x 2
Psychic changes are born in your heart
Entertain
A nervous breakthrough that makes us the
same
Bless your heart girl
Kill the pressure it's raining on
Salty Cheeks
When you hear the beloved song
I am with you
Chorus x 2 タグ:redhotchilipeppers 投稿日: February 14, 2007, 12:58 am 閲覧数: 171012 投票: 4.70(５点満点) 387 人の平均
Parallel Tracking and Mapping for Small AR Worspaces - extra
E's Journey - Parallel Worlds, Parallel Lives - BBC Four
1:34
http://www.bbc.co.uk/bbcfour
Mon 26th Nov at 9pm on BBC Four.
Mark Oliver Everett (aka E) of cult rock band Eels decides to go on a journey to find out more about his father and his research into parallel worlds. タグ:bbcmarkolivereverettcultrock 投稿日: November 23, 2007, 12:49 am 閲覧数: 14511 投票: 4.90(５点満点) 20 人の平均
Disk-Based Parallel Computation, Rubik's Cube, and Checkpointing
73:53
Google Tech Talks
March, 24 2008
ABSTRACT
This talk takes us on a journey through three varied, but interconnected
topics. First, our research lab has engaged in a series of disk-based
computations extending over five years. Disks have traditionally
been used for filesystems, for virtual memory, and for databases.
Disk-based computation opens up an important fourth use: an abstraction
for multiple disks that allows parallel programs to treat them in a
manner similar to RAM. The key observation is that 50 disks have
approximately the same parallel bandwidth as a _single_ RAM subsystem.
This leaves latency as the primary concern. A second key is the use
of techniques like delayed duplicate detection to avoid latency. For
example, hash accesses accesses can be saved (even saved on disk), until
there are sufficiently many pending accesses to use standard streaming
techniques. We have designed a library for search problems that exploits
the high parallel bandwidth while hiding the latency. We build
abstractions for search that employ parallel disk-based hash arrays
with the same speed as a single hash array in a single RAM subsystem.
In the case of Rubik's cube, we exploited this mechanism by using
seven terabytes of distributed disk in a search problem that showed
that 26 moves suffice to solve Rubik's cube. Our initial efforts
emphasize idempotent operations, so that we can easily recover from
hardware or software faults. We next intend to apply a more general
solution for fault recovery: checkpointing. This separate effort
in our lab has now produced a mature, robust user-level checkpointing
program has now matured. The package works successfully in tests
on OpenMPI, MPICH-2, OpenMP, and parallel iPython (used in SciPy and
NumPy). Our DMTCP package transparently checkpoints parallel,
multi-threaded processes, with no modification either to the
operating system or to the application binaries. Extrapolating
from current experiments, we estimate that we can checkpoint a 1,000
node parallel computation in a matter of minutes. We are currently
searching for a testbed on which to demonstrate this scalability.
Speaker: Gene Cooperman タグ:googletechtalkstechtalkengedutalktalks 投稿日: March 25, 2008, 6:07 pm 閲覧数: 5328 投票: 4.30(５点満点) 17 人の平均
Parallel Parking
4:07
This is exactly how NOT to do it!! タグ:womenwomandriverparking 投稿日: January 13, 2007, 3:44 am 閲覧数: 95109 投票: 4.80(５点満点) 88 人の平均
