This artifact contains the source code for a novel tool to detect determinacy races in OpenMP tasks, as presented in the accompanying paper, "Runtime Determinacy Race Detection for OpenMP Tasks".OpenMP 4.0 permits the programmer to specify execution order among explicit tasks by specifying task dependencies. Within a collection of tasks, any given task cannot execute until all of its dependencies are satisfied. If multiple tasks have their dependencies satisfied simultaneously, they may execute in any order or concurrently. In such cases, where no order of execution is enforced, and multiple tasks access and modify common shared memory location, a determinacy race occurs. A determinacy race may result in a program producing different final ...
Programmers struggle to understand performance of task-based OpenMP programs since profiling tools o...
OpenMP, a typical shared memory programming paradigm, has been extensively applied in high performan...
This chapter motivates the use of the OpenMP (Open Multi-Processing) parallel programming model to d...
Parallel computing is pervasive. The variety and number of parallel hardware architectures increase...
Data races are a type of bug in concurrent programming which can result in unexpected program behavi...
OpenMP is a popular application programming interface (API) used to write shared-memory parallel pro...
Parallel task-based programming models like OpenMP support the declaration of task data dependences....
International audienceThe recent introduction of task dependencies in the OpenMP specifi-cation prov...
pre-printNeither static nor dynamic data race detection methods, by themselves, have proven to be su...
OpenMP, a typical shared memory programming paradigm, has been extensively applied in high performan...
Programmers struggle to understand performance of task-based OpenMP programs since profiling tools o...
Much of the past work on dynamic data-race and determinacy-race detection algorithms for task parall...
The shift toward multicore processors has transformed the software and hardware landscape in the las...
A parallel multithreaded program that is ostensibly deterministic may nevertheless behave nondetermi...
Tasking in OpenMP 3.0 has been conceived to handle the dynamic generation of unstructured parallelis...
Programmers struggle to understand performance of task-based OpenMP programs since profiling tools o...
OpenMP, a typical shared memory programming paradigm, has been extensively applied in high performan...
This chapter motivates the use of the OpenMP (Open Multi-Processing) parallel programming model to d...
Parallel computing is pervasive. The variety and number of parallel hardware architectures increase...
Data races are a type of bug in concurrent programming which can result in unexpected program behavi...
OpenMP is a popular application programming interface (API) used to write shared-memory parallel pro...
Parallel task-based programming models like OpenMP support the declaration of task data dependences....
International audienceThe recent introduction of task dependencies in the OpenMP specifi-cation prov...
pre-printNeither static nor dynamic data race detection methods, by themselves, have proven to be su...
OpenMP, a typical shared memory programming paradigm, has been extensively applied in high performan...
Programmers struggle to understand performance of task-based OpenMP programs since profiling tools o...
Much of the past work on dynamic data-race and determinacy-race detection algorithms for task parall...
The shift toward multicore processors has transformed the software and hardware landscape in the las...
A parallel multithreaded program that is ostensibly deterministic may nevertheless behave nondetermi...
Tasking in OpenMP 3.0 has been conceived to handle the dynamic generation of unstructured parallelis...
Programmers struggle to understand performance of task-based OpenMP programs since profiling tools o...
OpenMP, a typical shared memory programming paradigm, has been extensively applied in high performan...
This chapter motivates the use of the OpenMP (Open Multi-Processing) parallel programming model to d...