Welcome to SciGPU.org!

This is a website for an emerging community whose shared goal is harnessing the power of general-purpose programming of graphics processing units to accelerate data-intensive science. The Harvard-based SciGPU community shares knowledge through the site and informal seminars, as well as formal collaborations and publications.

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PROJECT

The Connectome

The overall goal of the Connectome project is to map, store, analyze and visualize the actual neural circuitry of the peripheral and central nervous systems in experimental organisms, based on a very large number of images from high-resolution microscopy. The proposing team from the Center for Brain Sciences has already demonstrated its capacity for, and expertise in, high-throughput imaging. The critical challenges are computational, as the total number of voxels needed to establish the Connectome is ~1014. The principal challenges are to develop: (a) algorithms for efficient 3D segmentation circuitidentification (b) the ability to transfer, store and analyze 3D images in multi100GB range; and (c) scalable database techniques to store, manage and query multi-TB, multi-modal datasets.