Real-Time Data Compression for Chip Design

Microprocessors power all of the latest and greatest high-tech devices which support a growing number of applications, improving the quality of life and making it a little more fun too. Chip design requires a great deal of storage for development and testing and those additional storage costs can easily drain an IT budget. Standard data compression techniques may help with storage reduction, but don't deliver the performance needed for most chip design operations.

Here are four ways IBM Storwize appliances deliver high performance storage compression for chip design and manufacturing operations:

Compresses data in real time without performance degradation.
Increases disk capacity by up to 80 percent to help make data online and available when needed.
Cuts or delays storage disk purchases with IBM Storwize real-time data compression which is powered by a patented Random Access Compression Engine (RACE) architecture.
Drives efficiencies in the systems that deliver data to your design and test applications by lowering storage CPU utilization.

As chip design manufacturers have been able to deliver high performance computing while shrinking the processor footprint, IBM Storwize has been able to significantly compress primary data and reduce storage capacity utilization while delivering high performance storage operations. IT managers can get these benefits without any changes to storage infrastructure or applications and with no performance degradation. Just deploy the IBM Storwize appliance inline, in front of an industry standard network-attached storage device. It is just that simple.

Field Findings:

An engineering shop specializing in the design and manufacture of VLSI chips for real-time applications deployed IBM Storwize appliances. With an overall gain of 66% in storage space, the total size of the company's stored data was reduced to under 2TB, which is less than a quarter of its available storage. This achieved the company's stated objective of postponing the addition of new storage by at least 2.5 years and reducing CPU utilization from 45% to about 15%.

Learn more about this Chip Design and Manufacturing case study, or watch one of the IBM Storwize videos to get details about how real-time data compression optimizes storage without compromising on performance.