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MilkyWay@Home and Volunteer Computing at RPI

MilkyWay@Home and Volunteer Computing at RPI. Travis Desell RCOS, April 23, 2010. MilkyWay@Home & Open Source Software. Milky Way Modeling Application Multi-Platform Development: ATI, CUDA, OpenCL, Windows, OS X, Linux Generic Optimization Code (in the works)

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MilkyWay@Home and Volunteer Computing at RPI

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  1. MilkyWay@Home andVolunteer Computing at RPI • Travis Desell • RCOS, April 23, 2010

  2. MilkyWay@Home & Open Source Software • Milky Way Modeling Application • Multi-Platform Development: ATI, CUDA, OpenCL, Windows, OS X, Linux • Generic Optimization Code (in the works) • BOINC - Berkeley Open Infrastructure for Network Computing

  3. MilkyWay@Home Statistics • ~20,000 active users • ~30,000 active hosts • ~1.6 petaflops: • most powerful BOINC project • 3rd most powerful computing system (behind Folding@Home and the fastest supercomputer) • most of this from GPU computing

  4. Courtesy of http://www.boincstats.com

  5. MilkyWay@Home GPU Application • First GPU implementation was user-contributed • Compared to 3.0Ghz AMD Phenom(tm) II X4 940: • ATI HD5870 GPU - 109x speedup • NVidia GeForce GTX 285 GPU - 17x speedup • Requires double-precision calculations: • NVidia GPUs have less double precision real estate • Application would be 6.2x faster on the ATI GPU, 7.8x faster on the NVidia GPU using single-precision math Travis Desell, Anthony Waters, Malik Magdon-Ismail, Boleslaw Szymanski, Carlos Varela, Matthew Newby, Heidi Newberg, Andreas Przystawik and Dave Anderson. Accelerating the MilkyWay@Home volunteer computing project with GPUs. In the 8th International Conference on Parallel Processing and Applied Mathematics (PPAM 2009), Wroclaw, Poland, September 2009.

  6. The Sagittarius Dwarf Tidal Stream • The Sagittarius Dwarf Galaxy is merging with the Milky Way • The dwarf is being tidally disrupted by the Milky Way, creating long “tails.” Image (below): David Martinez-Delgado (MPIA) & Gabriel Perez (IAC) Image (above): [Ibata et al. 1997, AJ] Mapping the Tidal Stream will: • Provide information on matter distribution in Milky Way • Provide constraints on Galactic Halo

  7. SLOAN Digital Sky Survey Image: sdss.org • 230+ million objects • 8,400 square degrees in the sky • Large percentage of north galactic cap • Very little data in galactic plane (too much dust) • Several hundred thousand stars

  8. Halo Bulge Thin Disk Thick Disk Data Wedge Sun Sagittarius Dwarf Galaxy Tidal Stream ~30 kiloparsecs (100,000 light-years) The Milky Way Image: Matthew Newby

  9. Sagittarius Stream Model • Assume stream is a cylinder • Radial drop-off given by a Gaussian Distribution • 2 background parameters (new model has 4): • r0, q • 6 parameters per stream: • ε, μ, r, θ, φ, σ Background distribution: • A single stream with the old model has an 8 dimensional search space • Often fit multiple streams for search spaces with more than 20 dimensions!

  10. BOINC • Active development mailing lists: • boinc_dev@ssl.berkeley.edu • boinc_projects@ssl.berkeley.edu • boinc_alpha@ssl.berkeley.edu • Client Development: • Supporting different architectures (GPUs) • Awarding fair “credit” for work done • Server Development: • Scheduling • Validation & Verification

  11. DNA@Home • Find protein binding sites using Gibbs sampling • Use random walks (Markov chains) which result in sites distributed according to their actual probability of being the correct binding site • Initial sequences: • Mycobacterium tuberculosis • Yersinia pestis (cause of the Bubonic plague)

  12. Participate • http://milkyway.cs.rpi.edu : astro@cs.rpi.edu • http://dnahome.cs.rpi.edu : dna@cs.rpi.edu • http://boinc.berkeley.edu

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