13-17 Oct 2011

  • (abs, pdf) Bode et al., Mergers of Supermassive Black Holes in Astrophysical Environments
  • (abs, pdf) Schleicher et al., Magnetic fields in the first galaxies: Dynamo amplification and limits from reionization
  • (abs, pdf) Peters et al., Radiative Feedback in Massive Star and Cluster Formation
  • (abs, pdf) Commercon et al., Collapse of massive magnetized dense cores using radiation-magneto-hydrodynamics: early fragmentation inhibition

Computer Cluster Ordered

Last week, I got word that the 16-core processors were available for order from our supplier.  I placed an order for our dedicated cluster that will be composed of

  • 8 nodes each with 64 cores and 256GB of RAM
  • A total of 512 cores and 2TB of RAM
  • QDR Infiniband interconnect
  • 48TB of long-term storage space.  Scratch space is 250TB.  It is shared among other clusters and connected by Infiniband.
The cluster should arrive in about a month and be tested and ready for science in December or January.  There are plans to expand the cluster to have Tesla GPU systems. It will be a very useful resource for rapid development and science once it become online. I’m very excited about it!

05 Oct 2011

  • (abs, pdf) Rocha et al., Infall Times for Milky Way Satellites From Their Present-Day Kinematics
  • (abs, pdf) Trenti et al., Overdensities of Y-dropout Galaxies from the Brightest-of-Reionizing Galaxies Survey: A Candidate Protocluster at Redshift z~8
  • (abs, pdf) Petkova & Maio, Radiative feedback on early molecular gas and implications for primordial structure formation
  • (abs, pdf) Maio & Khochfar, The imprint of cosmological non-Gaussianities on primordial structure formation
  • (abs, pdf) Bolton et al., Improved measurements of the intergalactic medium temperature around quasars: possible evidence for the initial stages of He-II reionisation at z~6
  • (abs, pdf) Pan et al., The Pollution of Pristine Material in Compressible Turbulence
  • (abs, pdf) Mignone et al., Adaptive Mesh Refinement with the PLUTO Code for Astrophysical Fluid Dynamics

GPU Meeting (04 Oct 2011)

Lionel London (CRA) – GPU Computing in Matlab

  • Matlab Parallel Computing Toolbox (PCT) vs. Jacket
  • PCT allows for multi-cpu and GPU computing. Limited to 12 cores on the local machine. Very high level.
  • GPU computing with PCT requires an nVidia card with v1.3 compute capabilities. GPGPU with Jacket has relaxed requirements but is very expensive ($4k for 5 licenses!)
  • PCT GPU can run external .cu files.
  • Jacket has 10x more CUDA-enabled functions than Matlab.  It’s cluster capable.