veyepar: Copperhead: Data Parallel Python

Hi user

Admin Login:

Name: Copperhead: Data Parallel Python
--client enthought --show scipy_2012 --room 106 1169 --force
Prev: 11 Numba Python bytecode to LLVM translator
Next: 11 Solving the import problem: Scalable Dynamic Loading Network File Systems

show more...

Author(s):	Bryan Catanzaro
Location	106
Date	jul Wed 18	Days Raw Files
Start	10:20	First Raw Start	10:06
Duration	20:00	Offset	0:13:44
End	10:40	Last Raw End	10:52
Chapters	00:00 0:20:44
Total cuts_time	20 min.

raw-playlist raw-mp4-playlist encoded-files-playlist host archive public tweet mp4 svg png

final audio

assets release.pdf Copperhead_Data_Parallel_Python.json
logs
Admin: episode episode list cut list raw files day marks day marks day image_files

State:
Locked:	clear this to unlock
Locked by:	user/process that locked.
Start:	initially scheduled time from master, adjusted to match reality
Duration:	length in hh:mm:ss
Name:	Video Title (shows in video search results)
Emails:	email(s) of the presenter(s)
Released:	has someone authorised pubication
Normalise:
Channelcopy:	m=mono, 01=copy left to right, 10=right to left, 00=ignore.
Thumbnail:	filename.png
Description:	Copperhead is a data parallel language embedded in Python, which aims to provide both a productive programming environment as well as excellent computational efficiency on heterogeneous parallel hardware. Copperhead programs are written in a small, restricted subset of Python, using standard constructs like map and reduce, along with traditional data parallel primitives like scan and sort. Copperhead programs are written in standard Python modules and interoperate with existing Python numerical and visualization libraries such as NumPy, SciPy, and Matplotlib. The Copperhead runtime compiles Copperhead programs to target either CUDA-enabled GPUs or multicore CPUs using OpenMP or Threading Building Blocks. On several example applications from Computer Vision and Machine Learning, Copperhead programs achieve between 45-100% of the performance of hand-coded CUDA code, running on NVIDIA GPUs. In this talk, we will discuss the subset of Python that forms the Copperhead language, the open source Copperhead runtime and compiler, and selected example programs. markdown
Comment:	<?xml version='1.0' encoding='UTF-8'?> <ns0:entry xmlns:ns0="http://www.w3.org/2005/Atom"><ns0:category scheme="http://schemas.google.com/g/2005#kind" term="http://gdata.youtube.com/schemas/2007#video" /><ns0:category label="Education" scheme="http://gdata.youtube.com/schemas/2007/categories.cat" term="Education" /><ns0:category scheme="http://gdata.youtube.com/schemas/2007/keywords.cat" term="enthought" /><ns0:category scheme="http://gdata.youtube.com/schemas/2007/keywords.cat" term="scipy_2012" /><ns0:category scheme="http://gdata.youtube.com/schemas/2007/keywords.cat" term="HPC" /><ns0:category scheme="http://gdata.youtube.com/schemas/2007/keywords.cat" term="BryanCatanzaro" /><ns0:id>http://gdata.youtube.com/feeds/api/videos/FpDVyAwz2qM</ns0:id><ns0:author><ns0:name>NextDayVideo</ns0:name><ns0:uri>https://gdata.youtube.com/feeds/api/users/NextDayVideo</ns0:uri></ns0:author><ns0:content type="text">Bryan Catanzaro</ns0:content><ns0:updated>2012-08-02T21:49:12.000Z</ns0:updated><ns0:published>2012-08-02T21:49:12.000Z</ns0:published><ns1:comments xmlns:ns1="http://schemas.google.com/g/2005"><ns1:feedLink countHint="0" href="https://gdata.youtube.com/feeds/api/videos/FpDVyAwz2qM/comments?client=ndv" rel="http://gdata.youtube.com/schemas/2007#comments" /></ns1:comments><ns1:group xmlns:ns1="http://search.yahoo.com/mrss/"><ns1:keywords>enthought, scipy_2012, HPC, BryanCatanzaro</ns1:keywords><ns1:description type="plain">Bryan Catanzaro</ns1:description><ns1:title type="plain">Copperhead: Data Parallel Python</ns1:title><ns2:duration seconds="0" xmlns:ns2="http://gdata.youtube.com/schemas/2007" /><ns1:content duration="0" expression="full" isDefault="true" medium="video" type="application/x-shockwave-flash" url="https://www.youtube.com/v/FpDVyAwz2qM?version=3&f=user_uploads&c=ndv&d=Aarb2r5skm2_yNTuKEinXdAO88HsQjpE1a8d1GxQnGDm&app=youtube_gdata" ns2:format="5" xmlns:ns2="http://gdata.youtube.com/schemas/2007" /><ns1:thumbnail height="360" time="00:00:00" url="http://i.ytimg.com/vi/FpDVyAwz2qM/0.jpg" width="480" /><ns1:thumbnail height="90" time="00:00:00" url="http://i.ytimg.com/vi/FpDVyAwz2qM/1.jpg" width="120" /><ns1:thumbnail height="90" time="00:00:00" url="http://i.ytimg.com/vi/FpDVyAwz2qM/2.jpg" width="120" /><ns1:thumbnail height="90" time="00:00:00" url="http://i.ytimg.com/vi/FpDVyAwz2qM/3.jpg" width="120" /><ns1:category label="Education" scheme="http://gdata.youtube.com/schemas/2007/categories.cat">Education</ns1:category><ns1:category scheme="http://gdata.youtube.com/schemas/2007/developertags.cat">enthought</ns1:category><ns1:category scheme="http://gdata.youtube.com/schemas/2007/developertags.cat">scipy_2012</ns1:category><ns1:category scheme="http://gdata.youtube.com/schemas/2007/developertags.cat">HPC</ns1:category><ns1:category scheme="http://gdata.youtube.com/schemas/2007/developertags.cat">BryanCatanzaro</ns1:category><ns1:player url="https://www.youtube.com/watch?v=FpDVyAwz2qM&feature=youtube_gdata_player" /></ns1:group><ns0:title type="text">Copperhead: Data Parallel Python</ns0:title><ns1:control xmlns:ns1="http://purl.org/atom/app#"><ns1:draft>yes</ns1:draft><ns2:state name="processing" xmlns:ns2="http://gdata.youtube.com/schemas/2007" /></ns1:control><ns0:link href="https://www.youtube.com/watch?v=FpDVyAwz2qM&feature=youtube_gdata" rel="alternate" type="text/html" /><ns0:link href="https://gdata.youtube.com/feeds/api/videos/FpDVyAwz2qM/responses?client=ndv" rel="http://gdata.youtube.com/schemas/2007#video.responses" type="application/atom+xml" /><ns0:link href="https://gdata.youtube.com/feeds/api/videos/FpDVyAwz2qM/ratings?client=ndv" rel="http://gdata.youtube.com/schemas/2007#video.ratings" type="application/atom+xml" /><ns0:link href="https://gdata.youtube.com/feeds/api/videos/FpDVyAwz2qM/complaints?client=ndv" rel="http://gdata.youtube.com/schemas/2007#video.complaints" type="application/atom+xml" /><ns0:link href="https://gdata.youtube.com/feeds/api/videos/FpDVyAwz2qM/related?client=ndv" rel="http://gdata.youtube.com/schemas/2007#video.related" type="application/atom+xml" /><ns0:link href="https://gdata.youtube.com/feeds/api/users/nextdayvideo/uploads/FpDVyAwz2qM?client=ndv" rel="self" type="application/atom+xml" /><ns0:link href="https://gdata.youtube.com/feeds/api/users/nextdayvideo/uploads/FpDVyAwz2qM?client=ndv" rel="edit" type="application/atom+xml" /></ns0:entry> production notes

2012-07-18/08_06_16.dv Apply: 10:06:16 - 10:31:33 ( 00:25:17 ) S: 10:06:16 - E: 10:31:33 D: 00:25:17 show more...

vlc ~/Videos/veyepar/enthought/scipy_2012/dv/106/2012-07-18/08_06_16.dv :start-time=00.0 --audio-desync=0

	Raw File	Cut List
	10:06:16		seconds: 0.0 Wall: 10:06:16
Duration	00:25:17
	10:31:33		seconds: 0.0 Wall: 10:06:16
Comments:
mp4 mp4.m3u	dv.m3u	Split: Sequence:: delete

audio viz

2012-07-18/08_31_34.dv Apply: 10:31:34 - 10:31:42 ( 00:00:08 ) S: 10:31:34 - E: 10:31:42 D: 00:00:08 show more...

vlc ~/Videos/veyepar/enthought/scipy_2012/dv/106/2012-07-18/08_31_34.dv :start-time=00.0 --audio-desync=0

	Raw File	Cut List
	10:31:34		seconds: 0.0 Wall: 10:31:34
Duration	00:00:08
	10:31:42		seconds: 0.0 Wall: 10:31:34
Comments:
mp4 mp4.m3u	dv.m3u	Split: Sequence:: delete

audio viz

2012-07-18/08_31_42.dv Apply: 10:31:42 - 10:31:51 ( 00:00:09 ) S: 10:31:42 - E: 10:31:51 D: 00:00:09 show more...

vlc ~/Videos/veyepar/enthought/scipy_2012/dv/106/2012-07-18/08_31_42.dv :start-time=00.0 --audio-desync=0

	Raw File	Cut List
	10:31:42		seconds: 0.0 Wall: 10:31:42
Duration	00:00:09
	10:31:51		seconds: 0.0 Wall: 10:31:42
Comments:
mp4 mp4.m3u	dv.m3u	Split: Sequence:: delete

audio viz

2012-07-18/08_31_52.dv Apply: 10:31:52 - 10:52:36 ( 00:20:44 ) S: 10:31:52 - E: 10:52:36 D: 00:20:44 show more...

vlc ~/Videos/veyepar/enthought/scipy_2012/dv/106/2012-07-18/08_31_52.dv :start-time=00.0 --audio-desync=0

	Raw File	Cut List
	10:31:52		seconds: 0.0 Wall: 10:31:52
Duration	00:20:44
	10:52:36		seconds: 0.0 Wall: 10:31:52
Comments:
mp4 mp4.m3u	dv.m3u	Split: Sequence:: delete

audio viz

2012-07-18/08_52_37.dv Apply: 10:52:37 - 10:52:44 ( 00:00:07 ) S: 10:52:37 - E: 10:52:44 D: 00:00:07 show more...

vlc ~/Videos/veyepar/enthought/scipy_2012/dv/106/2012-07-18/08_52_37.dv :start-time=00.0 --audio-desync=0

	Raw File	Cut List
	10:52:37		seconds: 0.0 Wall: 10:52:37
Duration	00:00:07
	10:52:44		seconds: 0.0 Wall: 10:52:37
Comments:
mp4 mp4.m3u	dv.m3u	Split: Sequence:: delete

audio viz

Rf filename:	root is .../show/dv/location/, example: 2013-03-13/13:13:30.dv
Sequence:
get this:	check and save to add this

2012-07-18/08_06_16.dv
audio viz

audio viz

2012-07-18/08_31_34.dv
audio viz

audio viz

2012-07-18/08_31_42.dv
audio viz

audio viz

2012-07-18/08_31_52.dv
audio viz

audio viz

2012-07-18/08_52_37.dv
audio viz

audio viz

Veyepar Video Eyeball Processor and Review