Deadlock-free fine-grained thread migration
NOCS '11 Proceedings of the Fifth ACM/IEEE International Symposium on Networks-on-Chip
On-the-fly detection of data races in OpenMP programs
Proceedings of the 2012 Workshop on Parallel and Distributed Systems: Testing, Analysis, and Debugging
Harmony: collection and analysis of parallel block vectors
Proceedings of the 39th Annual International Symposium on Computer Architecture
Dynamic instrumentation for nested fork-join parallelism in OpenMP programs
FGIT'12 Proceedings of the 4th international conference on Future Generation Information Technology
Dynamic thread mapping of shared memory applications by exploiting cache coherence protocols
Journal of Parallel and Distributed Computing
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Software instrumentation provides the means to collect information on and efficiently analyze parallel programs. Using Pin, developers can build tools to detect and examine dynamic behavior including data races, memory system behavior, and parallelizable loops. Pin is a software system that performs runtime binary instrumentation of Linux and Microsoft Windows applications. Pin's aim is to provide an instrumentation platform for building a wide variety of program analysis tools, called pintools. By performing the instrumentation on the binary at runtime, Pin eliminates the need to modify or recompile the application's source and supports the instrumentation of programs that dynamically generate code.