Search Results for "linux gpib support"

Performance Monitoring Tool for Java / J2EE Applications. Features: light-weight profiler, AOP based, lists API times, JDBC / SQL statistics, central logging, cluster support, web UI, call trees, configurable monitoring levels.

ParTools allows the interactive analysis of a C program execution profile and data dependencies to facilitate the discovery and selection of suitable parallelization candidates in a manual parallelization process. The flow does not assume any specific parallelization technique, thus it can be broadly applied. The original (serial) C source is automatically annotated to trace the execution profile and data dependencies at run-time. The annotated program is then executed using a...

A collection of performance analysis software that can assist with a variety of techniques useful for application software optimization and benchmarking. The current release provides support for analysis with hardware performance counters on Linux.

(Diver is in the process of being moved to GitHub. Please find us at https://github.com/thechiselgroup/Diver. Support requests & messages sent here may never be seen.) Dynamic Interactive Views For Reverse Engineering. Div/er is a set of Eclipse Plugins that aid developers in understanding software. It uses dynamic analysis and reverse engineering to offer views and filters that aid comprehension and discovery.

Framework for profiling & early performance testing of J2SE, thread based applications. Integrates into the Maven build-cycle. Closely integrates with YourKit profiler to produce automatic CPU profiling of you application.

Beet adds user behavior and performance tracking to a Spring-based Java app. HTTP requests, method calls, and SQL statements are tracked and associated to user and session. includes XML, binary XML, and JDBC loggers. See http://beet.sourceforge.net.

A pretty primitive portable profiler for Java 5.0. It only produces "flat" profiles, has only experimental support for multithreaded code, and aims at minimal overhead.

This project provides runtime performance monitoring and reporting for Java applications. It includes a simple API with timers and counters, data persistence, support classes and aspects (AspectJ & Spring AOP), and a reporting web application.