International audienceProgram performance optimisations, feedback-directed iterative compilation and auto-tuning systems all assume a fixed estimation of execution time given a fixed input data for the program. However, in practice we observe non-negligible program performance variations on hardware platforms. While these variations are insignificant for sequential applications, we show that parallel native OpenMP programs have less performance stability. This article does not try to quantify nor to qualify the factors influencing the variations of program execution times, that we let for a future work. This article demonstrates three observations: 1) The performance variations of sequential applications is insignificant. 2) OpenMP program ...
New approaches are necessary to generate performance models in current systems due the het erogeneit...
The state of modern computer systems has evolved to allow easy access to multiprocessor systems by s...
OpenMP is a popular application programming interface (API) used to write shared-memory parallel pro...
International audienceProgram performance optimisations, feedback-directed iterative compilation and...
International audienceIn [8], we demonstrated that contrary to sequential applications, parallel Ope...
The recent growth in the number of precessing units in today's multicore processor architectures ena...
OpenMP, a directive-based API supports multithreading programming on shared memory systems. Since O...
International audienceIncreasingly complex consumer electronics applications call for embedded proce...
Task-based programming models are becoming increasingly important, as they can reduce the synchroniz...
Advances in processors architecture, such as multicore, increase the size of complexity of parallel ...
OpenMP has become the de-facto standard for shared memory parallel programming. The directive based ...
We have developed an environment, based upon robust, existing, open source software, for tuning appl...
Multi-core architectures have become more popular due to better performance, reduced heat dissipatio...
Performance analysis is the task of monitor the behavior of a program execution. The main goal is to...
16th International Workshop on Worst-Case Execution Time Analysis (WCET 2016). 5, Jul, 2016. Toulous...
New approaches are necessary to generate performance models in current systems due the het erogeneit...
The state of modern computer systems has evolved to allow easy access to multiprocessor systems by s...
OpenMP is a popular application programming interface (API) used to write shared-memory parallel pro...
International audienceProgram performance optimisations, feedback-directed iterative compilation and...
International audienceIn [8], we demonstrated that contrary to sequential applications, parallel Ope...
The recent growth in the number of precessing units in today's multicore processor architectures ena...
OpenMP, a directive-based API supports multithreading programming on shared memory systems. Since O...
International audienceIncreasingly complex consumer electronics applications call for embedded proce...
Task-based programming models are becoming increasingly important, as they can reduce the synchroniz...
Advances in processors architecture, such as multicore, increase the size of complexity of parallel ...
OpenMP has become the de-facto standard for shared memory parallel programming. The directive based ...
We have developed an environment, based upon robust, existing, open source software, for tuning appl...
Multi-core architectures have become more popular due to better performance, reduced heat dissipatio...
Performance analysis is the task of monitor the behavior of a program execution. The main goal is to...
16th International Workshop on Worst-Case Execution Time Analysis (WCET 2016). 5, Jul, 2016. Toulous...
New approaches are necessary to generate performance models in current systems due the het erogeneit...
The state of modern computer systems has evolved to allow easy access to multiprocessor systems by s...
OpenMP is a popular application programming interface (API) used to write shared-memory parallel pro...