recent posts tagged academic - blip.tv (beta)
Recent Posts Tagged Academic - Blip.tv (beta)
recent posts tagged academic - blip.tv (beta)
Ada Gavrilovska Thinks Parallel at SC09
Ada Gavrilovska talks about the challenges of getting graduate students up to speed on Thinking Parallel, and some of the cool research she is working on right now.
Shanno Steinfadt Thinks Parallel at SC09
Shannon Steinfadt shares how she introduced parallelism to her Computer Science 101 class, and how she is utilizing parallel programming to help national security.
Anderw Fitz-Gibbon Thinks Parallel at SC09
Andrew Fitz-Gibbon talks about how Thinking Parallel has prepared him to take advantage of the Multicore world we live in, and how he is helping others start to Think Parallel.
Preparing the World for Ubiquitous Parallelism at SC09 Part 9
Multicore platforms are transforming the nature of computation. Increasingly, FLOPs are free, but the people who know how to program these petascale, manycore platforms are not. This panel, composed of a diverse set of industry and academic ...
Preparing the World for Ubiquitous Parallelism at SC09 Part 7
Multicore platforms are transforming the nature of computation. Increasingly, FLOPs are free, but the people who know how to program these petascale, manycore platforms are not. This panel, composed of a diverse set of industry and academic ...
Preparing the World for Ubiquitous Parallelism at SC09 Part 8
Multicore platforms are transforming the nature of computation. Increasingly, FLOPs are free, but the people who know how to program these petascale, manycore platforms are not. This panel, composed of a diverse set of industry and academic ...
Preparing the World for Ubiquitous Parallelism at SC09 Part 6
Multicore platforms are transforming the nature of computation. Increasingly, FLOPs are free, but the people who know how to program these petascale, manycore platforms are not. This panel, composed of a diverse set of industry and academic ...
Preparing the World for Ubiquitous Parallelism at SC09 Part 5
Multicore platforms are transforming the nature of computation. Increasingly, FLOPs are free, but the people who know how to program these petascale, manycore platforms are not. This panel, composed of a diverse set of industry and academic ...
Preparing the World for Ubiquitous Parallelism at SC09 Part 3
Multicore platforms are transforming the nature of computation. Increasingly, FLOPs are free, but the people who know how to program these petascale, manycore platforms are not. This panel, composed of a diverse set of industry and academic ...
Preparing the World for Ubiquitous Parallelism at SC09 Part 4
Multicore platforms are transforming the nature of computation. Increasingly, FLOPs are free, but the people who know how to program these petascale, manycore platforms are not. This panel, composed of a diverse set of industry and academic ...
Preparing the World for Ubiquitous Parallelism at SC09 Part 2
Multicore platforms are transforming the nature of computation. Increasingly, FLOPs are free, but the people who know how to program these petascale, manycore platforms are not. This panel, composed of a diverse set of industry and academic ...
Preparing the World for Ubiquitous Parallelism at SC09 Part 1
Multicore platforms are transforming the nature of computation. Increasingly, FLOPs are free, but the people who know how to program these petascale, manycore platforms are not. This panel, composed of a diverse set of industry and academic ...
Teach Parallel: Developing a Curriculum for Parallelism Part 7
Time is no longer a best performance programming tool, by just waiting 18 months for a doubling of performance. The discussion initiated by last year's panel led to the conclusion that parallelism must seamlessly be woven throughout the CS curriculum. ...
Teach Parallel: Developing a Curriculum for Parallelism Part 9
Time is no longer a best performance programming tool, by just waiting 18 months for a doubling of performance. The discussion initiated by last year's panel led to the conclusion that parallelism must seamlessly be woven throughout the CS curriculum. ...
Teach Parallel: Developing a Curriculum for Parallelism Part 8
Time is no longer a best performance programming tool, by just waiting 18 months for a doubling of performance. The discussion initiated by last year's panel led to the conclusion that parallelism must seamlessly be woven throughout the CS curriculum. ...
Teach Parallel: Developing a Curriculum for Parallelism Part 5
Time is no longer a best performance programming tool, by just waiting 18 months for a doubling of performance. The discussion initiated by last year's panel led to the conclusion that parallelism must seamlessly be woven throughout the CS curriculum. ...
Teach Parallel: Developing a Curriculum for Parallelism Part 6
Time is no longer a best performance programming tool, by just waiting 18 months for a doubling of performance. The discussion initiated by last year's panel led to the conclusion that parallelism must seamlessly be woven throughout the CS curriculum. ...
Teach Parallel: Developing a Curriculum for Parallelism Part 3
Time is no longer a best performance programming tool, by just waiting 18 months for a doubling of performance. The discussion initiated by last year's panel led to the conclusion that parallelism must seamlessly be woven throughout the CS curriculum. ...
Teach Parallel: Developing a Curriculum for Parallelism Part 4
Time is no longer a best performance programming tool, by just waiting 18 months for a doubling of performance. The discussion initiated by last year's panel led to the conclusion that parallelism must seamlessly be woven throughout the CS curriculum. ...