Moises Hernandez Fernandez, PhD student at University of Oxford shares how GPUs are being used to accelerate the analysis of the human brain’s underlying anatomical and structural organization, which can lead to a better understanding of neurological disorders like Alzheimer’s or Multiple Sclerosis.
Using Tesla K80 GPUs and CUDA, the group at Oxford Centre for Functional MRI of the Brain developed a computationally demanding analysis toolkit for diffusion MRI (dMRI) data to help reveal the wiring diagram of the brain and estimate tissue microstructures.
Share your GPU-accelerated science with us at http://nvda.ly/Vpjxr and with the world on #ShareYourScience.
Watch more scientists and researchers share how accelerated computing is benefiting their work at http://nvda.ly/X7WpH
Share Your Science: Analyzing Human Brain Connectivity with GPUs
Sep 01, 2016
Discuss (0)
Related resources
- GTC session: Scaling Deep Learning Training: Fast Inter-GPU Communication with NCCL (Spring 2023)
- GTC session: Connect with the Experts: Inter-GPU Communication Techniques and Libraries (Spring 2023)
- GTC session: Accelerating Data Movement Between GPUs and Storage or Memory (Spring 2023)
- SDK: NCCL
- Webinar: Healthcare AI Startups Solutions Showcase
- Webinar: NVIDIA Emerging Chapters Education Series -Why GPUs are important to AI
About the Authors
