veyepar: Copperhead: Data Parallel Python

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

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:

markdown

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.

Comment:

production notes

<?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&amp;f=user_uploads&amp;c=ndv&amp;d=Aarb2r5skm2_yNTuKEinXdAO88HsQjpE1a8d1GxQnGDm&amp;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&amp;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&amp;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>