1. Bioinformatics: The Information in Life

    49:44

    from Don Johnson / Added

    1,038 Plays / / 0 Comments

    This introduction to the basis of bioinformatics (for UNCW's ACM on 4/8/10) highlights the informational aspects of life that are usually overlooked or ignored in chemical and biological evolutionary scenarios. Each cell of an organism has millions of interacting computers reading and processing digital information using algorithmic digital programs and digital codes to communicate and translate information. Life is an intersection of natural science and information science (speaker has Ph.D.s in each field) and both domains are critical for any life to exist. PDF available via http://scienceintegrity.net/Presentations.aspx link.

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    • Cluster by Night Screencast

      07:30

      from Dept. Dirigible Flightcraft / Added

      1,816 Plays / / 0 Comments

      Cluster by Night is a minimal Linux live distro for temporarily converting desktop machines into an Open MPI based cluster without control of the network topology. http://dirigibleFlightcraft.com/research/CbN

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      • Coordination Models From Parallel Computing To Self-Organising Systems - Andrea Omicini

        42:05

        from The Awareness Initiative / Added

        80 Plays / / 0 Comments

        Starting from the pioneering work on Linda and Gamma, coordination models and languages have gone through an amazing evolution process over the years. From closed to open systems, from parallel computing to multi-agent systems and from database integration to knowledge-intensive environments, coordination abstractions and technologies have gained in relevance and power in those scenarios where complexity has become a key factor. In this lecture, we outline and motivate 25 years of evolution of coordination models and discuss their potential perspectives in the future of artificial systems.

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        • Darren Stevenson Teaching Excerpt Short

          04:15

          from Darren Stevenson / Added

          33 Plays / / 0 Comments

          Introduction to Digital Media, University of Illinois at Urbana-Champaign, USA, March 5, 2012

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          • IPython Parallel - Brian Granger

            48:37

            from PyData / Added

            1,269 Plays / / 1 Comment

            Working with data at large scales requires parallel computing to access large amounts of RAM and CPU cycles. Users need a quick and easy way to leverage these resources without becoming an expert in parallel computing. IPython has parallel computing support that addresses this need by providing a high level parallel API that covers a wide range of usage cases with excellent performance. This API enables Python functions, along with their arguments to be scheduled and called on parallel computing resources using a number of different scheduling algorithms. Programs written using IPython Parallel scale across multicore CPUs, cluster and supercomputers with no modification and can be run, shared and monitored in a web browser using the IPython Notebook. In this talk I will cover the basics of this API and give examples of how it can be used to parallelize your own code. This talk was presented at PyData NYC 2012: http://nyc2012.pydata.org/. If you are interested in this topic, be sure to check out PyData Silicon Valley in March of 2013: http://sv2013.pydata.org/

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            • Iterative Real-Time Hologram Generation Using GPGPU and HOLOEYE SLMs

              00:58

              from Jan Beneke / Added

              125 Plays / / 0 Comments

              See http://www.janbeneke.de/master/ for more information. Used source material by Warner Bros. Pictures http://trailers.apple.com/trailers/wb/thedarkknightrises/ .

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              • Jeff Biggus: Massively Parallel Computing with OpenCL

                58:08

                from John Wilker / Added

                32 Plays / / 0 Comments

                Parallel computing in all devices is already here, and it's time to dive in. This talk will be an on-ramp to getting involved. Of all the spicy ingredients you can add to your code, OpenCL is the insanity pepper. Beyond GPGPU computing. Come see a clear tour of what's going on, easy example code to start experimenting with it from Python and Objective-C, with several demos and benchmarks. Comparisons will be given against serial code, GCD, GLSL and Accelerate.

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                • Laplacian Smooth Test: CUDA vs CPU Parallel Computing

                  01:04

                  from Webber Huang / Added

                  469 Plays / / 2 Comments

                  This another test of my delta mush deformer, as i mentioned before, CUDA function would be implemented, I haven't finished yet, since dealing with data converting between maya API and CUDA C is not just a paper work, but the current progress makes me very exciting, so i decide to make this video to demonstrate the potential of GPU computing in rigging workflow.

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                  • Parallel Series - 01 Bases

                    14:47

                    from Lluis Franco / Added

                    118 Plays / / 0 Comments

                    Primer video de las Parallel Series, en el que Lluís Franco, Microsoft MVP y desarrollador en ORDEENO, nos muestra qué es la programación paralela y el cambio de paradigma que va a suponer en el desarrollo de software.

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                    • Programação Paralela e resolução de Problemas com CUDA

                      02:25

                      from Herberth Amaral / Added

                      438 Plays / / 0 Comments

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