Pentium 4 Performance-Monitoring Features
IEEE Micro
The Effects of Compiler Options on Application Performance
ICCS '94 Proceedings of the1994 IEEE International Conference on Computer Design: VLSI in Computer & Processors
Performance Characterization of the Pentium® Pro Processor
HPCA '97 Proceedings of the 3rd IEEE Symposium on High-Performance Computer Architecture
Computer Architecture: A Quantitative Approach
Computer Architecture: A Quantitative Approach
Microbenchmarks for determining branch predictor organization
Software—Practice & Experience - Research Articles
The implications of working set analysis on supercomputing memory hierarchy design
Proceedings of the 19th annual international conference on Supercomputing
Research ethics and computer science: an unconsummated marriage
SIGDOC '06 Proceedings of the 24th annual ACM international conference on Design of communication
IEEE Transactions on Computers
A dynamic tool for finding redundant computations in native code
WODA '08 Proceedings of the 2008 international workshop on dynamic analysis: held in conjunction with the ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA 2008)
Investigating the impact of code generation on performance characteristics of integer programs
Proceedings of the 2010 Workshop on Interaction between Compilers and Computer Architecture
PaCT'11 Proceedings of the 11th international conference on Parallel computing technologies
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Modern processors include features such as deep pipelining, multi-level cache hierarchy, branch predictors, out of order execution engine, and advanced floating point and multimedia units. To successfully exploit these features, architecture-aware compilers that can produce target-specific optimal codes for the applications are needed. Using the knowledge about the architectural features, the compilers can contribute to maximizing the application performance through effective pipeline scheduling, memory penalty minimization and path length reduction. A study of the execution characteristics for the binaries generated by the various compilers can provide insights about the effectiveness of the optimization options used in the compilers. The in-built performance monitoring hardware found in present day processors can be used to collect the performance metrics for the study of execution characteristics. In this paper, we compare the Intel C++ and Microsoft VC++ compilers by studying the execution characteristics of SPEC CPU 2000 benchmarks run on a Pentium IV processor. The benchmarks were compiled with identical optimization switches in both compilers and the performance metrics were collected using Intel's VTune Performance Analyzer. The analyses of results showed that the Intel C++ compiler performed better than VC++ for all considered applications and significantly better for computer visualization and graphical applications.