Source: http://classic.chem.msu.su/gran/gamess/performance.html
Timestamp: 2019-04-19 07:00:43+00:00

Document:
PC GAMESS v. 7.1.4 benchmarks and scalability: Barcelona vs. Clovertown vs. Harpertown.
PC GAMESS v. 7.1.1 performance and scalability on Windows CCS (Compute Cluster Server)-based Opteron cluster.
PC GAMESS v. 7.0 standard MCQDPT2 benchmark on modern hardware.
PC GAMESS v. 7.0 standard MP4(SDTQ) benchmark on modern hardware.
Preliminary PC GAMESS v. 7.0 benchmarks on Intel Conroe (Core 2 Duo) and PC GAMESS version 7.0.1 benchmarks on Intel Woodcrest and AMD dual-core Opteron pages also gracefully provided by Dr. Alex Popov.
PC GAMESS v. 7.0 benchmarks on different AMD Opteron processors.
PC GAMESS v. 7.0 benchmarks on different Intel Xeon (Netburst core) processors.
PC GAMESS v. 7.0 benchmarks on different Intel Pentium 4 family (Netburst) processors.
The PC GAMESS input and output of geometry optimization run of fullerene C60 using our new canonical MP2 gradient code on Windows 2008 Server/CCP 2.0 cluster. The hardware used was exactly the same as described on this page. Each compute node has only one physical disk per four CPU cores (i.e., four PC GAMESS instances) thus seriously degrading IO performance, reducing CPU usage and increasing wall clock time. Having four physical HDDs per node would halve execution time.
The PC GAMESS input and output files for really large MP4(full) job (more than 7*1015 double precision floating point operations). The average performance of the PC GAMESS was higher than 60% of the theoretical maximum performance of the four-cpu computer system used for calculations. We are grateful to Dr. Kalju Kahn for providing us by this example.
The PC GAMESS vs. WinGamess performance comparison page gracefully provided by Dr. Alex Popov.
The PC GAMESS v. 5.2 SMP scaling results for large MP4-SDQ job. Note both the program version (May 1999) and hardware (four-CPU Pentium II Xeon 450 MHz SMP system) are ancient. However, we hope these data may be still of some historical interest.

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