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Product Information
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Get Your Gaussian Results SoonerNo matter how much we speed up the performance of Gaussian, users always want to get their results faster, or run bigger jobs, or both. Chemists running electronic structure calculations seem to have an insatiable need for CPU resources. If you're already running the latest version of Gaussian, there may still be ways to get your jobs done more quickly, without having to purchase faster hardware. As of revision D, Gaussian can run many kinds of jobs in parallel on both multiprocessor computer systems and across networks of separate workstations (and the two approaches can also be combined in most environments). Network parallel execution allows you to harness untapped CPU power you already have (for example, computer labs after hours). In general, parallel execution speeds up calculation by applying the resources of more than one CPU to the job:
Sample Performance ResultsThe following chart shows the speedups obtained for a calculation on Alpha Pinene on successively more processors of a multiprocessor system:
The following chart shows the speedups for a VCD calculation on BiPhenyl Tetramer for increasing numbers of systems in a network parallel calculation (using Gigabit Ethernet networking):
Achieved speedups vary by the job size, job type and specific characteristics of the hardware environment. What Methods Run in Parallel?
Available Parallel Versions of GaussianThe following table indicates what parallel environments are supported by Gaussian 03 Revision D.01 and later:
Additional Notes
Supported PlatformsThe supported workstations for TCP Linda network parallel execution are:
Pricing InformationLinux/Unix pricing information: Academic Commercial U.S. Government |