A heterogeneous accelerator platform for multi-subject voxel-based brain network analysis

Authors:
Yu Wang;Mo Xu;Ling Ren;Xiaorui Zhang;Di Wu;Yong He;Ningyi Xu;Huazhong Yang
Affiliations:
Tsinghua University;Tsinghua University;Tsinghua University;Tsinghua University;Tsinghua University;Beijing Normal University;Hardware Computing Group, Microsoft Research Asia;Tsinghua University
Venue:
Proceedings of the International Conference on Computer-Aided Design
Year:
2011

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Abstract

The research on understanding the human brain has attracted more and more attention. A promising method is to model the brain as a network based on modern imaging technologies and then to apply graph theory algorithms for analysis. In this work, we examine the computing bottleneck of this method, and propose a CPU-GPU heterogeneous platform to accelerate the process. We construct a statistical brain network from a sample of 198 people and get characteristics such as nodal degree and modularity. This is the first study of voxel-based brain networks on large samples. We also illustrate that domain-specific hardware platform can have a significant impact on neuroscience studies.