Инд. авторы:	Ryabko B., Rakitskiy A.
Заглавие:	An Analytic Method for Estimating the Computation Capacity of Computing Devices
Библ. ссылка:	Ryabko B., Rakitskiy A. An Analytic Method for Estimating the Computation Capacity of Computing Devices // Journal of Circuits, Systems, and Computers. - 2017. - Vol.26. - Iss. 5. - Art.1750086. - ISSN 0218-1266. - EISSN 1793-6454.
Внешние системы:	DOI: 10.1142/S0218126617500864; РИНЦ: 29467813; SCOPUS: 2-s2.0-85007236707; WoS: 000395379900017;
Реферат:	eng: A recently suggested method for evaluating computer performance is applied to real processors. The method is based on notion of Computer Capacity, which is determined only by the computer architecture and can be computed theoretically on the design stage. The computer capacity for different Intel and AMD processors is calculated and the results are compared with those of widely recognized benchmarks. The obtained results show that computer capacity is a reasonable estimate of computer performance. © 2017 World Scientific Publishing Company.
Ключевые слова:	information theory; Computer architecture; Real processors; Design stage; Computer performance; Computation capacity; Analytic method; Information theory; Computation theory; performance of computers; Computing devices; Computer capacity;
Издано:	2017
Физ. характеристика:	1750086
Цитирование:	1. D. J. Lilja, Measuring Computer Performance: A Practitioner's Guide (Cambridge University Press, 2005). 2. R. P. Weicker, A detailed look at some popular benchmarks, Parallel Compu. 17(10) (1991) 1153-1172. 3. B. Ryabko, An information-theoretic approach to estimate the capacity of processing units, Performance Eval. 69 (2012) 267-273. 4. J. Riordan, Introduction to Combinatorial Analysis (Courier Corporation, 2012). 5. C. E. Shannon, A mathematical theory of communication, Bell Sys. Tech. J. 27 (1948) 623-656. 6. A. Fionov and B. Ryabko, Estimating the performance of computer systems through computer capacity, Problems of Redundancy in Information and Control Systems (RED), 2012 XIII International Sympo. (2012), pp. 74-77. 7. A. Fionov, A. Rakitsky and B. Ryabko, Evaluation of computer capacity for p5 intel processors, in Problems of Redundancy in Information and Control Systems (RED), 2012 XIII International Symp. (2012), pp. 70-73. 8. A. Fog, The microarchitecture of Intel, AMD and VIA CPUs, Copenhagen University College of Engeneering, www.agner.org/optimize/October 2013. 9. A. Fog, Lists of instruction latencies, throughputs and microoperation break-downs for Intel, AMD and VIA CPUs, Copenhagen University College of Engeneering, Available at www.agner.org/optimize/October 2013. 10. Characteristic equation and all supporting programs. Web: https://goo.gl/MHneDr 11. Intel Corporation, iCOMP Index 2.0 Performance Brief, Available at http://download. intel.com/design/PentiumII/perfbref/24339301.PDF. 12. J. Reilly, A brief introduction to the spec cpu95 benchmark. IEEE-CS TCCA Newsletter. June 1996. 13. A. Phansalkar, Measuring program similarity: Experiments with SPEC CPU benchmark suites, IEEE Int. Symp. Performance Analysis of Systems and Software, ISPASS 2005, pp. 10-20. 14. Standard Performance Evaluation Corporation, SPEC CINT95 Benchmarks, Available at https://www.spec.org/cpu95/CINT95/. 15. Standard Performance Evaluation Corporation, SPEC CFP95 Benchmarks, Available at https://www.spec.org/cpu95/CFP95/. 16. PassMark performance test description, Available at http://www.passmark.com/support/ performancetest/interpreting test results.htm. 17. D. Bhandarkar and D. Jason, Performance characterization of the Pentium Pro processor, IEEE Third Int. Symp. High-Performance Computer Architecture (1997), pp. 288-296.