Virtual Institute — High Productivity Supercomputing


Website disruption

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29th VI-HPS Tuning Workshop, 15-19 Oct. 2018

at HPC Centre ROMEO, Reims, France. 
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ESPT'18 Submission deadline extended

Deadline for submission of full papers is now Aug 6,... 
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ESPT'18 Travel Support from SPEXXA

Authors of accepted papers may apply for travel support... 
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ESPT'18 Submission is open.

Deadline for submission of full papers is July 23,... 
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AutomaDeD (Automata-based Debugging for Dissimilar Parallel Tasks) is a tool that detects errors and anomalies in MPI applications based on the (dis)similarity between tasks. The tool summarizes tasks' runtime behavior using statistical models that capture the control paths and the time spent in each control block of an MPI application. It has been developed in close collaboration between LLNL and Purdue University. Within VI-HPS, LLNL is the main contact for this tool. AutomaDeD suggests possible root causes of detected errors by probabilistically identifying an anomalous MPI task and the code region in which an anomaly occurred. A key mechanism is scalable outlier detection that uses distributed sampling techniques to find the anomalous task(s) with low overhead. The tool is able to build a progress-dependency graph that allows programmers identify the least-progressed task which is often associated to the origin of correctness problems such as hangs and deadlocks.

Programming models



Open source: released soon


LLNL and Purdue University


available soon