Capability wrangling made easy: debugging on a microkernel with valgrind
Proceedings of the 6th ACM SIGPLAN/SIGOPS international conference on Virtual execution environments
Parallelizing heavyweight debugging tools with mpiecho
Parallel Computing
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Valgrind is a dynamic binary translation and instrumentation framework. It is suited to analysing memory usage. It is used in memory validation and profiling tools. Currently, Valgrind is restricted to executing a guest with serialised thread scheduling. This results in lost opportunity for performance when analysing highly parallel applications on parallel architectures. We have extended the framework to allow parallel execution of guest threads. Code caching mechanisms have been made thread-safe, by delaying flushing of translated code, while preserving critical areas of performance. Three methods which preserve atomicity of instructions are implemented and evaluated with respect to speed, reliability and instrumentation effects. Serialising both store and atomic operations preserves atomicity in the strongest sense, but suffers unacceptable performance overhead. Serialising only atomic instructions or utilising host atomic instructions provides speedup in line with native execution. These methods show average slow downs of only 2.6脳 and multithreaded 2.2脳 over native parallel execution respectively.