Hierarchical INTegration
Hierarchical INTegration, or HINT for short, is a computer benchmark that ranks a computer system as a whole (i.e. the entire computer instead of individual components). It measures the full range of performance, mostly based on the amount of work a computer can perform over time. A system with a very fast processor would likely be rated poorly if the buses were very poor compared to those of another system that had both an average processor and average buses. For example, in the past, Macintosh computers with relatively slow processor speeds (800 MHz) used to perform better than x86 based systems with processors running at nearly 2 GHz.
HINT is known for being almost immune to artificial optimization and can be used by many computers ranging from a calculator to a supercomputer. It was developed at the U.S. Department of Energy's Ames Laboratory and is licensed under the terms of the GNU General Public License.
HINT is intended to be "scalable" to run on any size computer, from small serial systems to highly parallel supercomputers.[1] The person using the HINT benchmark can use any floating-point or integer type.[2]
HINT benchmark results have been published comparing a variety of parallel and uniprocessor systems.[3]
A related tool ANALYTIC HINT can be used as a design tool to estimate the benefits of using more memory, a faster processor, or improved communications (bus speed) within the system.[4]
See also
References
- ^ Gustafson, J. L.; Snell, Q. O. (1995). "HINT: A new way to measure computer performance". Proceedings of the Twenty-Eighth Hawaii International Conference on System Sciences. pp. 392–401. doi:10.1109/HICSS.1995.375519. ISBN 0-8186-6935-7. S2CID 17572925.
- ^ Gustafson, J. (2004). "Purpose-based benchmarks" (PDF). The International Journal of High Performance Computing Applications. 18 (4): 475–487. CiteSeerX 10.1.1.684.150. doi:10.1177/1094342004048540. S2CID 5786180. See pages 5, 11.
- ^ John L. Gustafson, Quinn O. Snell, and Rajat Todi. "The HINT Benchmark".
- ^ Gustafson, John; Snell, Quinn; Heller, Don. (2 September 1999). "Scalable Computer Performance and Analysis (Hierarchical INTegration). Computer software" (Document). DOE/ER. OSTI 1230480.
