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ICM's New Blue Gene Supercomputer Supports The Largest Biomedical Research Initiative In Poland

"The process of developing and generating a new drug or treatment normally takes up to three years, and costs have nearly quadrupled in the past 15 years," said Prof. Marek Niezgodka, Director of ICM. "With Nostromo, we expect to increase the simulation speed which will bring us much closer to the era of "personalized medicine," when preventative approaches can be tailored to a specific condition."

Nostromo currently ranks N 143 on the Top500.org list and N 9 on Green500.org. The system has already been installed by IBM Poland and Qumak SA, IBM's Business Partner.

"IBM delivered the most powerful single architecture supercomputer for the ICM of Poland.  Nostromo is able to process up to 16 TB of Big Data per one sequence by running simulations at the speed of 210 TFLOPS," said Ales Bartunek, Country General Manager, IBM Poland and Baltics. "We are confident that the POWER based Blue Gene/Q has the potential to save years of research and help scientists take healthcare in Poland to the next level."

About Nostromo

The IBM Blue Gene/Q system, based on POWER architecture, currently ranks N 143 on the Top500.org list and N 9 on the Green500.org. It runs at 209.7 trillion operations per second (TFLOPS). Its ability to process Big Data is instrumental for the faster isolation and analysis of genes and proteins, responsible for the most common chronic lifestyle diseases. It can also be used to simulate new drug development. The supercomputing's drug modeling, integrates mathematics, physics, chemistry and biology with advanced, high performance computing and engineering and has the potential to significantly reduce a new drug's time to market by developing new procedures of drug design.

Blue Gene/Q (BG/Q) is the next evolutionary waypoint on IBM's HPC leadership roadmap to ultra-scalability and ultra-reliability in a power-efficient, space-saving platform for the most demanding grand challenge computational science applications. It is the next logical step towards developing technologies and architectures for exascale capable computing systems.

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