SAAHPC presentation

I recently presented my work at the SAAHPC conference, held at NCSA Urbana, IL. The Keynote talk was by Pradeep Dubey on Massive Data Computing using Intel Larrabee. Excellent overview on why data transfer and management is the challenge in today's computing. I liked the Connected Computing factor - Content, Connect and Compute. I have found out from real-time problems that having the fastest computation platform is not enough, it's even more important to sustain the streaming bandwidth of the data into the platform. Obviously, once the data is inside the memory, computation is fast. But the real bottleneck is in importing and offloading the data and trying to streamline and synchronize the data (some of my PhD dissertation grumble).

I liked the talk by Michael Garland on GPU Computing using CUDA. This was informative in terms of his insight on the Thrust template. Thrust is open source and is hosted on Google Code. I have to start using this for my next CUDA project.

Finally, here's a link to my presentation on "Accelerating Particle Image Velocimetry using Hybrid Architectures".