This article motivates and describes the dual timestamping methodology, a novel monitoring technique whose goal is to provide first class support for the visualization and animation of distributed and parallel applications. Central to this methodology is the use of both a primary and secondary timestamp in trace events. The primary timestamp is a logical timestamp that provides information about the concurrency of events. This information is useful for generating visualizations that depict the events as occurring in parallel. The secondary timestamp provides a normalized, causality preserving, real-time clock for use in performance visualization. The dual timestamping methodology is the basis for PVaniM, a collection o...
The dynamic behavior of parallel programs can be disclosed by event-driven monitoring. A hybrid moni...
International audienceThe analysis of large-scale parallel applications today has several issues, su...
This report describes Seastorm: a visualizer for distributed algorithms running on the Seattle platf...
Visualization and animation tools may become extremely important aids in the understanding, verifica...
Visualization and animation tools may become extremely important aids in the understanding, verific...
Supercomputing is a key technological pillar of modern science and engineering, indispensable for so...
Fig. 1: Logical timeline and clustered logical timeline views from Ravel, a tool for visualizing par...
Vector clocks are the appropriate mechanism used to track causality among the events produced by a d...
International audienceHighly distributed systems such as grids are used today to the execution of la...
Cluster computing has evolved into a popular and effective mode of high performance computing. Clu...
AbstractIn software development, a metric is the measurement of some characteristic of a program's p...
this report, we use data collected from interviews with a number of application developers and devel...
Abstract — Pipeline architectures provide a versatile and efficient mechanism for constructing visua...
Trace visualization is a viable approach for gaining insight into the behavior of complex distribute...
As parallel and distributed computers become more widely available and used, the already important p...
The dynamic behavior of parallel programs can be disclosed by event-driven monitoring. A hybrid moni...
International audienceThe analysis of large-scale parallel applications today has several issues, su...
This report describes Seastorm: a visualizer for distributed algorithms running on the Seattle platf...
Visualization and animation tools may become extremely important aids in the understanding, verifica...
Visualization and animation tools may become extremely important aids in the understanding, verific...
Supercomputing is a key technological pillar of modern science and engineering, indispensable for so...
Fig. 1: Logical timeline and clustered logical timeline views from Ravel, a tool for visualizing par...
Vector clocks are the appropriate mechanism used to track causality among the events produced by a d...
International audienceHighly distributed systems such as grids are used today to the execution of la...
Cluster computing has evolved into a popular and effective mode of high performance computing. Clu...
AbstractIn software development, a metric is the measurement of some characteristic of a program's p...
this report, we use data collected from interviews with a number of application developers and devel...
Abstract — Pipeline architectures provide a versatile and efficient mechanism for constructing visua...
Trace visualization is a viable approach for gaining insight into the behavior of complex distribute...
As parallel and distributed computers become more widely available and used, the already important p...
The dynamic behavior of parallel programs can be disclosed by event-driven monitoring. A hybrid moni...
International audienceThe analysis of large-scale parallel applications today has several issues, su...
This report describes Seastorm: a visualizer for distributed algorithms running on the Seattle platf...