Raghavan Raman

According to our database1, Raghavan Raman authored at least 12 papers between 2009 and 2014.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

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Bibliography

2014
PGX.ISO: Parallel and Efficient In-Memory Engine for Subgraph Isomorphism.
Proceedings of the Second International Workshop on Graph Data Management Experiences and Systems, 2014

Test-driven repair of data races in structured parallel programs.
Proceedings of the ACM SIGPLAN Conference on Programming Language Design and Implementation, 2014

2013
Graph analysis: do we have to reinvent the wheel?
Proceedings of the First International Workshop on Graph Data Management Experiences and Systems, 2013

Early experiences in using a domain-specific language for large-scale graph analysis.
Proceedings of the First International Workshop on Graph Data Management Experiences and Systems, 2013

2012
Efficient data race detection for async-finish parallelism.
Formal Methods Syst. Des., 2012

Scalable and precise dynamic datarace detection for structured parallelism.
Proceedings of the ACM SIGPLAN Conference on Programming Language Design and Implementation, 2012

2011
DrHJ: a lightweight pedagogic IDE for Habanero Java.
Proceedings of the 9th International Conference on Principles and Practice of Programming in Java, 2011

DrHJ: the cure to your multicore programming woes.
Proceedings of the Companion to the 26th Annual ACM SIGPLAN Conference on Object-Oriented Programming, 2011

The design and implementation of the habanero-java parallel programming language.
Proceedings of the Companion to the 26th Annual ACM SIGPLAN Conference on Object-Oriented Programming, 2011

2010
Automatic Verification of Determinism for Structured Parallel Programs.
Proceedings of the Static Analysis - 17th International Symposium, 2010

2009
The habanero multicore software research project.
Proceedings of the Companion to the 24th Annual ACM SIGPLAN Conference on Object-Oriented Programming, 2009

Work-first and help-first scheduling policies for async-finish task parallelism.
Proceedings of the 23rd IEEE International Symposium on Parallel and Distributed Processing, 2009


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