Computer - IEEE Centennial: the state of computing
Grosch's law re-revisited: CPU power and the cost of computation
Communications of the ACM
Communications of the ACM - Special issue: computing in the frontiers of science and engineering
Performance Evaluation and Monitoring
ACM Computing Surveys (CSUR)
Guest Editor's Overview… Queuing Network Models of Computer System Performance
ACM Computing Surveys (CSUR)
Price/performance patterns of U. S. computer systems
Communications of the ACM
Cost/utilization: a measure of system performance
Communications of the ACM
Computer hardware performance: production and cost function analyses
Communications of the ACM
Economic analysis of microcomputer hardware
Communications of the ACM - Special issue on simulation
Modeling and measurement of the impact of Input/Output on system performance
ISCA '91 Proceedings of the 18th annual international symposium on Computer architecture
Formation of clusters and resolution of ordinal attributes in ID3 classification trees
SAC '92 Proceedings of the 1992 ACM/SIGAPP Symposium on Applied computing: technological challenges of the 1990's
Dynamic ID3: a symbolic learning algorithm for many-valued attribute domains
SAC '93 Proceedings of the 1993 ACM/SIGAPP symposium on Applied computing: states of the art and practice
Hedonic price analysis of workstation attributes
Communications of the ACM
Profiling in the ASP codesign environment
ISSS '95 Proceedings of the 8th international symposium on System synthesis
A Subsystem-Oriented Performance Analysis Methodology for Shared-Bus Multiprocessors
IEEE Transactions on Parallel and Distributed Systems
Communications of the ACM
Communications of the ACM - Special issue: multiprocessing
ICIS '00 Proceedings of the twenty first international conference on Information systems
IEEE Micro
Quasi-regression with shrinkage
Mathematics and Computers in Simulation - Special issue: 3rd IMACS seminar on Monte Carlo methods - MCM 2001
Genetic learning of fuzzy rules based on low quality data
Fuzzy Sets and Systems
Expert Systems with Applications: An International Journal
| Hi-index | 48.27 |
Using readily available data on CPU characteristics—main memory size, cache memory size, number of channels, and machine cycle time—it is possible to predict relative CPU performance for a wide range of machines. Statistical analyses indicate that these characteristics explain virtually all the variance in relative performance.