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GPU-Accelerated Supercomputer Targets Tumors

A team of researchers from the  Helmholtz-Zentrum Dresden-Rossendorf (HZDR) research lab in Germany are using the Titan Supercomputer at Oak Ridge National Laboratory to advance laser-driven radiation treatment of cancerous tumors.

Recently, doctors have been using beams of heavy particles, such as protons or ions, to treat cancer tumors. These beams can deposit most of their energy inside the tumor, while at the same time leaving the healthy tissue unharmed. Unfortunately, these beams are generated by large particle accelerators, which make the treatment cost prohibitive for many patients.

The German lab is developing a new therapeutic approach using high-powered lasers instead of inconvenient and expensive particle accelerators.

Proton density after laser impact on a spherical solid density target: irradiated by an ultra-short, high intensity laser (not in picture) the intense electro-magnetic field rips electrons apart from their ions and creates a plasma.

Image Credits: Axel Huebl, HZDR, David Pugmire, ORNL

HZDR researcher Michael Bussmann explains in a recent blog post that they are only able to run such complex simulations because his team has access to GPU-accelerated supercomputers.

The team does all of its calculations on Titan’s Tesla GPUs at a rate 10 to 100 times faster than what is possible on CPU-only machines. “We no longer think of simulations in terms of CPU hours but rather frames per second,” Bussmann said, describing the effect this speed-up has had on the team’s research.

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My name is Sayed Ahmadreza Razian and I am a graduate of the master degree in Artificial intelligence .
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Related topics such as image processing, machine vision, virtual reality, machine learning, data mining, and monitoring systems are my research interests, and I intend to pursue a PhD in one of these fields.

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My Scientific expertise
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  • Machine vision
  • Machine learning
  • Pattern recognition
  • Data mining - Big Data
  • CUDA Programming
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