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Linux clusters significantly accelerate chip production

Fujitsu Siemens Computers and Leica Microsystems develop high-performance bundle


Munich, October 19, 2004 —Fujitsu Siemens Computers and Leica Microsystems, Jena, have developed a solution which allows faster processing of chip designs. Leica Microsystems has coupled its lithography systems with the hpcLine Linux clusters from the leading European IT vendor. This extremely powerful solution not only reduces processing times but also provides better protection of investment as Linux clusters based on the hpcLine allow considerable flexibility with respect to extensions. Leica Microsystems exports its e-beam lithography systems throughout the world.

All over the world, each new advance in chip development brings with it designs of increasing complexity and a disproportionate growth in the volume of data required to control the lithography processes. In maskmaking, for instance, it is far from a rare occurrence for data packages several hundred Gigabytes in size to be passed to the e-beam exposure system. This sheer volume means that the processing of a chip design can take a full day or more on a traditional multi-processor system. The aim of Leica Microsystems was to offer chip manufacturers a far quicker alternative which also provides flexible scaling options to deal with the demands for increased performance. Leica Microsystems is now offering their customers a cluster made up of the hpcLine and the open source Red Hat Linux operating system bundled with their e-beam lithography system for mask and wafer fabrication. The cluster considerably reduces the time required for the compute-intensive data preparation phase prior to the lithography process.

This is confirmed by Volker Neick, IT Manager at Leica Microsystems: "A drastic reduction in the time required to prepare data for lithography is a powerful argument. By creating a bundle with the Linux cluster hpcLine we are able to offer customers this benefit very economically."

Information about Leica Microsystems can be found under: http://www.leica-microsystems.com/website/lms.nsf


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