Fast, effective code generation in a just-in-time Java compiler
PLDI '98 Proceedings of the ACM SIGPLAN 1998 conference on Programming language design and implementation
Dynamo: a transparent dynamic optimization system
PLDI '00 Proceedings of the ACM SIGPLAN 2000 conference on Programming language design and implementation
Overcoming the challenges to feedback-directed optimization (Keynote Talk)
DYNAMO '00 Proceedings of the ACM SIGPLAN workshop on Dynamic and adaptive compilation and optimization
Adaptive optimization in the Jalapeño JVM
OOPSLA '00 Proceedings of the 15th ACM SIGPLAN conference on Object-oriented programming, systems, languages, and applications
Characteristics of program localities
Communications of the ACM
Dynamic Binary Translation and Optimization
IEEE Transactions on Computers
Partial method compilation using dynamic profile information
OOPSLA '01 Proceedings of the 16th ACM SIGPLAN conference on Object-oriented programming, systems, languages, and applications
Energy-conscious compilation based on voltage scaling
Proceedings of the joint conference on Languages, compilers and tools for embedded systems: software and compilers for embedded systems
Managing multi-configuration hardware via dynamic working set analysis
ISCA '02 Proceedings of the 29th annual international symposium on Computer architecture
Online feedback-directed optimization of Java
OOPSLA '02 Proceedings of the 17th ACM SIGPLAN conference on Object-oriented programming, systems, languages, and applications
Automatically characterizing large scale program behavior
Proceedings of the 10th international conference on Architectural support for programming languages and operating systems
Basic Block Distribution Analysis to Find Periodic Behavior and Simulation Points in Applications
Proceedings of the 2001 International Conference on Parallel Architectures and Compilation Techniques
Coupling on-line and off-line profile information to improve program performance
Proceedings of the international symposium on Code generation and optimization: feedback-directed and runtime optimization
Continuous program optimization: A case study
ACM Transactions on Programming Languages and Systems (TOPLAS)
Compile-time dynamic voltage scaling settings: opportunities and limits
PLDI '03 Proceedings of the ACM SIGPLAN 2003 conference on Programming language design and implementation
Proceedings of the 30th annual international symposium on Computer architecture
Characterizing and Predicting Program Behavior and its Variability
Proceedings of the 12th International Conference on Parallel Architectures and Compilation Techniques
Comparing Program Phase Detection Techniques
Proceedings of the 36th annual IEEE/ACM International Symposium on Microarchitecture
IBM Systems Journal
ASPLOS XI Proceedings of the 11th international conference on Architectural support for programming languages and operating systems
Visualization and analysis of phased behavior in Java programs
Proceedings of the 3rd international symposium on Principles and practice of programming in Java
Profile-driven code unloading for resource-constrained JVMs
Proceedings of the 3rd international symposium on Principles and practice of programming in Java
A compilation framework for power and energy management on mobile computers
LCPC'01 Proceedings of the 14th international conference on Languages and compilers for parallel computing
| Hi-index | 0.00 |
Extant Java Virtual Machines (JVMs) apply dynamic compiler optimizations adaptively, based on the partial execution of the program, with the goal of improving performance. Understanding and characterizing program behavior is of vital importance to such systems. Recent research, primarily in the area of computer architecture, has identified potential optimization opportunities in the repeating patterns in the time-varying behavior of programs. In view of this, we believe that by considering time-varying, i.e., phase, behavior in Java programs, adaptive JVMs can enable performance that exceeds current levels.To enable analysis and visualization of phase behavior in Java programs and to facilitate optimization development, we have implemented a freely available, offline, phase analysis framework within the IBM Jikes Research Virtual Machine (JikesRVM) for Java. The framework couples existing techniques into a unifying set of tools for data collection, processing, and analysis of dynamic phase behavior in Java programs. The framework enables optimization developers to significantly reduce analysis time and to target adaptive optimization to parts of the code that will recur with sufficient regularity. We use the framework to evaluate phase behavior in the SpecJVM benchmark suite and discuss optimizations that are enabled by the framework.