The collection of dynamic metrics is an important part of performance analysis and workload characterization. We demonstrate JP2, a new tool for collecting dynamic bytecode metrics for standard Java Virtual Machines (JVMs). The application of JP2 is a three-step process: First, an online step instruments the application for profiling. Next, the resulting profile is dumped in an appropriate format for later analysis. Finally, the desired metrics are computed in an offline step. JP2’s profiles capture both the inter-procedural and the intra-procedural control flow in a callsite-aware calling-context tree, where each node stores, amongst others, the execution count for each basic block of code. JP2 uses portable bytecode instrumentation techni...
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...
AbstractAccounting for the CPU consumption of applications is crucial for software development to de...
The collection of dynamic metrics is an important part of performance analysis and workload characte...
Calling-context profiles and dynamic metrics at the bytecode level are important for profiling, work...
AbstractThis paper presents a novel profiling approach, which is entirely based on program transform...
This paper describes a portable and efficient sampling-based online measurement system for productio...
This paper presents a novel profiling approach, which is entirely based on program transformation te...
Calling context profiling fulfills programmers’ information needs to obtain a complete picture of a ...
Calling context profiling collects statistics separately for each calling context. Complete calling ...
AbstractCalling context profiling collects statistics separately for each calling context. Complete ...
Bytecode instrumentation is a valuable technique for trans-parently enhancing virtual execution envi...
Virtual execution environments, such as the Java virtual machine, promote platform-independent softw...
We present a portable profiling tool for Java and its application to the analysis and comparison of ...
BIT (Bytecode Instrumenting Tool) is a collection of Java classes that allow one to build customized...
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...
AbstractAccounting for the CPU consumption of applications is crucial for software development to de...
The collection of dynamic metrics is an important part of performance analysis and workload characte...
Calling-context profiles and dynamic metrics at the bytecode level are important for profiling, work...
AbstractThis paper presents a novel profiling approach, which is entirely based on program transform...
This paper describes a portable and efficient sampling-based online measurement system for productio...
This paper presents a novel profiling approach, which is entirely based on program transformation te...
Calling context profiling fulfills programmers’ information needs to obtain a complete picture of a ...
Calling context profiling collects statistics separately for each calling context. Complete calling ...
AbstractCalling context profiling collects statistics separately for each calling context. Complete ...
Bytecode instrumentation is a valuable technique for trans-parently enhancing virtual execution envi...
Virtual execution environments, such as the Java virtual machine, promote platform-independent softw...
We present a portable profiling tool for Java and its application to the analysis and comparison of ...
BIT (Bytecode Instrumenting Tool) is a collection of Java classes that allow one to build customized...
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...
AbstractAccounting for the CPU consumption of applications is crucial for software development to de...