In this paper we present a platform independent analysis of the dynamic profiles of Java programs when executing on the Java Virtual Machine. The Java programs selected are taken from the Java Grande Forum benchmark suite and five different Java‐to‐bytecode compilers are analysed. The results presented describe the dynamic instruction usage frequencies, as well as the sizes of the local variable, parameter and operand stacks during execution on the JVM. These results, presenting a picture of the actual (rather than presumed) behaviour of the JVM, have implications both for the coverage aspects of the Java Grande benchmark suites, for the performance of the Java‐to‐bytecode compilers and for the design of the JVM
The collection of dynamic metrics is an important part of performance analysis and workload characte...
AbstractExtant Java Virtual Machines (JVMs) apply dynamic compiler optimizations adaptively, based o...
Java workloads are becoming more and more prominent on various computing devices. Understanding the ...
In this paper we present a platform independent analysis of the dynamic profiles of Java programs wh...
In this paper we present a platform independent analysis of the dynamic profiles of Java programs w...
In this paper we present a platform independent analysis of the dynamic profiles of Java programs wh...
In this chapter we present a study of the SPEC JVM98 benchmark suite at a dynamic platform-independe...
This paper presents the results of a characterization analysis performed on the Java Virtual Machine...
Two of the most commonly used benchmark suites for Java Programs are the SPEC98 and Grande Forum ben...
Dynamic analysis tools are often implemented using instrumentation, particularly on managed runtimes...
It has previously been noted that, for conventional machine code, there is a strong relationship bet...
Java workloads are becoming increasingly prominent on various platforms ranging from embedded system...
Java programs are deployed in a bytecode format that is executed by a Java virtual machine (JVM). J...
Dynamic quantatative measurements Bytecode and Stack Frame Usage by Eiffel and Java Programs in the ...
In recent years, the Java Virtual Machine has become an at-tractive target for a multitude of progra...
The collection of dynamic metrics is an important part of performance analysis and workload characte...
AbstractExtant Java Virtual Machines (JVMs) apply dynamic compiler optimizations adaptively, based o...
Java workloads are becoming more and more prominent on various computing devices. Understanding the ...
In this paper we present a platform independent analysis of the dynamic profiles of Java programs wh...
In this paper we present a platform independent analysis of the dynamic profiles of Java programs w...
In this paper we present a platform independent analysis of the dynamic profiles of Java programs wh...
In this chapter we present a study of the SPEC JVM98 benchmark suite at a dynamic platform-independe...
This paper presents the results of a characterization analysis performed on the Java Virtual Machine...
Two of the most commonly used benchmark suites for Java Programs are the SPEC98 and Grande Forum ben...
Dynamic analysis tools are often implemented using instrumentation, particularly on managed runtimes...
It has previously been noted that, for conventional machine code, there is a strong relationship bet...
Java workloads are becoming increasingly prominent on various platforms ranging from embedded system...
Java programs are deployed in a bytecode format that is executed by a Java virtual machine (JVM). J...
Dynamic quantatative measurements Bytecode and Stack Frame Usage by Eiffel and Java Programs in the ...
In recent years, the Java Virtual Machine has become an at-tractive target for a multitude of progra...
The collection of dynamic metrics is an important part of performance analysis and workload characte...
AbstractExtant Java Virtual Machines (JVMs) apply dynamic compiler optimizations adaptively, based o...
Java workloads are becoming more and more prominent on various computing devices. Understanding the ...