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  1. Proceedings of the 2010 Workshop on Interaction between Compilers and Computer Architecture (INTERACT-14)
  2. Investigating the impact of code generation on performance characteristics of integer programs
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Enhancing application efficiency by packing instructions into registers
Multicore-aware hybrid code positioning to reduce worst-case execution time
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Compiler-based data classification for hybrid caching
Code size and performance optimization for mobile JavaScript just-in-time compiler
Program differentiation
Investigating the impact of code generation on performance characteristics of integer programs
An analytical model to exploit memory task scheduling
RaPTEX: a resource-focused toolchain for rapid prototyping of embedded communication systems
Performance characterization of data mining benchmarks

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Investigating the impact of code generation on performance characteristics of integer programs

Content Provider ACM Digital Library
Author Jayaseelan, Ramkumar Bhowmik, Anasua Ju, Roy D. C.
Abstract As the complexity of interactions among microprocessors, platforms, and system software increases, compilers play a greater role in extracting performance for applications. Different compiler technologies have contributed significantly in improving the designs of various processor architectures and in delivering end-user performance. Workload analysis of benchmark suites has traditionally focused on understanding the behaviors of the suites under different system configurations and studying the sensitivity of the suites to different system parameters. In this paper, we study the effect of compiler technology and implementation on workload behaviors. This study aims at understanding how performance and its leading metrics behave differently with different compiler implementations targeting the same architecture and programs. We use the quad-core AMD Opteron processors and the SPEC CPU 2006 Integer benchmark to evaluate how various micro-architecture performance metrics are sensitive to three top-performing compilers. Even though all three compilers produce overall good performance, our analysis shows that different compilers may vary widely on individual program performances. Binaries from different compilers vary both in terms of architecture metrics, such as instruction counts and instruction mix distribution, and micro-architecture metrics, such as cache miss rates and branch mis-predictions. For programs with large deviations in some of the metrics, we attribute the differences to the choices or strengths in a particular compiler implementation, for example on function inlining, 32-bit versus 64-bit compilation, software prefetching, vectorization, register allocation, etc.
Starting Page 1
Ending Page 8
Page Count 8
File Format PDF
ISBN 9781605589213
DOI 10.1145/1739025.1739031
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2010-03-13
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Compiler optimization
Content Type Text
Resource Type Article
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