Trace visualization is a viable approach for gaining insight into the behavior of complex distributed real-time systems. Grasp is a versatile trace visualization toolset. This paper presents its unique visualization capabilities for hierarchical multiprocessor systems, including partitioned and global multiprocessor scheduling with migrating tasks and jobs, communication between jobs via shared memory and message passing, and hierarchical scheduling in combination with multiprocessor scheduling. Its flexible plugin infrastructure allows for easy extension with custom visualization and analysis techniques for automatic trace verification. Grasp is freely available on the web
Matlab provides an environment to analyse and visualise data and develop algorithms. However, there ...
Abstract—Event traces are valuable for understanding the behavior of parallel programs. However, aut...
Pajé is an interactive and scalable trace-based visualization tool which can be used for a large var...
Trace visualization is a viable approach for gaining insight into the behavior of complex distribute...
Understanding and validating the timing behavior of real-time systems is not trivial. Many real-time...
One way of gaining understanding of a software system is the analysis of dynamic information, i.e., ...
One way of gaining understanding of a software system is the analysis of dynamic information, i.e., ...
As multicore architectures become mainstream, an in-depth understanding of how applications behave o...
Fig. 1: Logical timeline and clustered logical timeline views from Ravel, a tool for visualizing par...
Understanding the behavior of software in execution is a key step in identifying and fixing performa...
International audienceGiven the complexity of current supercomputers and applications, being able to...
Task-based scheduling has emerged as one method to reduce the complexity of parallel computing. When...
The performance of massively parallel program is often impacted by the cost of communication across ...
International audienceHighly distributed systems such as grids are used today to the execution of la...
Fay is a flexible platform for the efficient collection, processing, and analysis of software execut...
Matlab provides an environment to analyse and visualise data and develop algorithms. However, there ...
Abstract—Event traces are valuable for understanding the behavior of parallel programs. However, aut...
Pajé is an interactive and scalable trace-based visualization tool which can be used for a large var...
Trace visualization is a viable approach for gaining insight into the behavior of complex distribute...
Understanding and validating the timing behavior of real-time systems is not trivial. Many real-time...
One way of gaining understanding of a software system is the analysis of dynamic information, i.e., ...
One way of gaining understanding of a software system is the analysis of dynamic information, i.e., ...
As multicore architectures become mainstream, an in-depth understanding of how applications behave o...
Fig. 1: Logical timeline and clustered logical timeline views from Ravel, a tool for visualizing par...
Understanding the behavior of software in execution is a key step in identifying and fixing performa...
International audienceGiven the complexity of current supercomputers and applications, being able to...
Task-based scheduling has emerged as one method to reduce the complexity of parallel computing. When...
The performance of massively parallel program is often impacted by the cost of communication across ...
International audienceHighly distributed systems such as grids are used today to the execution of la...
Fay is a flexible platform for the efficient collection, processing, and analysis of software execut...
Matlab provides an environment to analyse and visualise data and develop algorithms. However, there ...
Abstract—Event traces are valuable for understanding the behavior of parallel programs. However, aut...
Pajé is an interactive and scalable trace-based visualization tool which can be used for a large var...