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The computational life sciences are beginning to offer researchers and clinicians dramatic new capabilities. Bioinformatics, a high-potential market which involves applying computer technology to biology and medicine, is utilizing Cray technologies to solve complex problems, including the creation of genome analysis software capable of identifying and analyzing genes involved in cancer and other diseasesComputational simulation is accepted today as the third element of science, complementing theory and experimentation.

Cray has long been recognized as the leader in providing high-end supercomputing solutions for science and new product development and is positioned to carry that industry leadership and computational innovation into the future of high performance computing. Cray systems have powered major breakthroughs in computational physics, chemistry, engineering, environmental science, and medicine.

Cray customers use our systems to address their most challenging computational problems. Cray solutions lead researchers to new ideas, insights, innovations, and discoveries that touch our lives every day. Whether it's improved car safety, more accurate weather forecasts, or development of new life-saving drugs, Cray solutions continue to impact the world. source: www.cray.com


Cray Systems at Work
Cray systems provide powerful high performance solutions for the world's most complex computational problems. The sustained performance obtained from Cray supercomputers is used by researchers and computer scientists spanning such varied disciplines as automotive manufacturing, geological sciences, climate prediction, pharmaceutical development, and national security.

Cray supercomputers are used worldwide in research, academia, industry, and government.

The Road to La-La Land - Pittsburgh Supercomputing Center researcher Pei Tang uses the Cray T3E to probe the mysteries of anesthesia.

Biomedical Modeling at the National Cancer Institute - Researchers from around the world use NCI's Cray SV1 system to solve some of the most difficult problems in computational biology -- studying protein structure and function at the most detailed levels.

Clean Power - George Richards, leader of the National Energy Technology Laboratory's combustion dynamics team, takes on the challenge of converting fuel to energy without creating pollutants by using simulations on PSC's Cray T3E.

A Thumb-Lock on AIDS - PSC's Marcela Madrid simulates an HIV enzyme on the Cray T3E to help develop drugs that shut down HIV replication. source: www.cray.com

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