Parallel Theory

/păr′ə-lĕl′ thē′ə-rē/
noun.

  1. A system of ideas and principles pertaining to high-performance computing.

  1. A portmanteau of massively parallel supercomputing and theoretical physics.

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What We Do

"Everything is theoretically impossible, until it is done."
- Robert A. Heinlein

Parallel Theory is all about deep-dive machine learning, high-performance computing, and data analytics. As technological advances are busy putting supercomputers in homes and offices around the globe, we're busy finding new ways to put them to work.

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Who We Are

"Both the man of science and the man of action live always at the edge of mystery, surrounded by it."
- J. Robert Oppenheimer

Parallel Theory's team of computer scientists come with diverse backgrounds in technical and creative fields. Never satisfied with what has already been done, driven by our passion for discovery, we are always pushing the limits and challenging the boundaries of technology.

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The Parallel Process

"Any sufficiently advanced technology is indistinguishable from magic." - Arthur C. Clarke

Ideas

Every successful project starts with an idea, but an idea alone isn't enough to ensure success. It also takes vision, passion, and dedication. Knowledge isn't enough to realize the future, first you have to have the creativity to invent it.

Data

Businesses don't have feelings. Science isn't based on opinions. Success is built upon facts, and facts are born from data. Where tea leaves were once thought to reveal the secrets of the future, data now proves them.

Magic

Technology has come a long way; from the first pocket calculators to the fastest supercomputers, never before has as much computing power been available as we have today. Throw in elegantly designed, high performance algorithms? Pure magic.

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The future is Massively Parallel.

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