Video: Amazing DigiCortex Engine Maps the Brain with GPUs

In this video from the 2013 GPU Technology Conference, Ivan Dimkovic and Ana Balevic describe the ground-breaking DigiCortex Engine. Recently ported to CUDA, the application has seen huge speedups with GPU computing.

DigiCortexis my hobby project implementing large-scale simulation and visualization of biologically realistic cortical neurons, synaptic receptor kinetic, axonal action potential propagation delays as well as long-term and short-term synaptic plasticity. Current version of DigiCortex is heavily optimized for Intel CPUs (including Sandy Bridge AVX instruction set). The first CUDA-enabled version with GPU acceleration (CUDA optimizations done by Ana Balevic) is available as of v0.95

The simulation footage in this video is really gorgeous, so be sure to watch it in HD mode. Read the Full Story.

About Rich 782 Articles
Recently named as one of the Top 20 Big Data Influencers by Forbes Magazine, Rich Brueckner is an avid writer, publisher, and technology pundit focused on high performance computing. He acquired inside-HPC.com in 2010 and has since expanded his online publications to include inside-BigData, inside-Startups, and The Exascale Report. With over 25 years of HPC experience at Cray Research, SGI, and Sun Microsystems, Rich is known to many in the industry as “the guy in the Red Hat.” When he’s not working, Rich keeps busy writing fiction, cartoons, and parody films. You can check out his stories: Angels of Silence, The Observer Effect, The Three Magi of Katrina, Seven Meals from Chaos, Friends of the Fallen, The Guardian’s End, and Ghosts of the Indian Herb. He has also penned some short film scripts including: Jigsaw Falling into Place and Bardo. In non-fiction, Rich contributed the Foreword to Dark Matter, Dark Energy, Dark Gravity, a book about the Big Bang by Dr. Stephen Perrenod. He also wrote the Foreword to 72 Beautiful Galaxies, an interactive iBook by Dr. Stephen Perrenod. Rich lives and works in Portland, Oregon.