The company is releasing another version of its Grid Engine software to make the program work better on larger networks of computers. Stephen Shankland worked at CNET from 1998 to 2024 and wrote about ...

Grid computing may still sound fringe to buttoned-down comptrollers looking over technology budgets at small Midwestern thrifts. They've got a point-grids came into being out of academic research labs ...

Software that will set up a network built from users’ hard drives and bandwidth has been quietly bundled into the Kazaa file-sharing program owned by Australian holding company Sharman Networks Ltd.

The program is expected to be based in part on a current push to get Sun's European solution providers to work with grid computing, said Peter Jeffcock, group marketing manager for Sun's Grid ...

For UPS, is not about how to get more horsepower for demanding workloads; it’s about consolidating, streamlining and using technology to get an edge on the competition. “Using technology to ...

The concept of “grid computing” was created in the late 1990s by researchers at Argonne National Labs and other places. Like many revolutionary concepts in IT, including the World Wide Web and ...

While parallel processing has been around for years in the scientific community, primarily the financial sector has taken advantage of it to run complex business analysis. However, analytical ...

According to Gartner, if the concept of grid computing meets widespread acceptance, it could forever alter the role of service providers. In an interview with TechRepublic, Bernhard Borges, managing ...

IBM, one of the loudest advocates of pooling computing resources with grid technology, has secured a half-dozen new customers. Big Blue announced Wednesday that the new customers will join IBM's ...

Charles Schwab & Co. this week went live with a grid computing system and said it has already improved performance by an order of magnitude on the first investment management application that’s ...

In genetics, with increasing data sizes and more advanced algorithms for mining complex data, a point is reached where increased computational capacity or alternative solutions becomes unavoidable.