International audienceArchitecture parameter exploration is one of the main analysis that needs to be performed in order to ensure that a multicore system has an optimal set of parameters. The main drawback of current simulation approaches is the long simulation times in order to extract performance metrics while varying a system parameter. Trace-driven simulation approaches allow to abstract selected components of the system under analysis by creating traces during the execution time of an application. This technique reduces the simulation time while keeping the accuracy levels. Even tough trace-driven techniques have proven to be useful, most of them are focused on mono-core systems, and some do not completely capture the behavior of mult...
As the complexity of processors increases, it becomes harder for designers to understand the non-tri...
To increase performance, modern processors employ complex techniques such as out-of-order pipelines ...
Analyzing and understanding the performance behavior of parallel applications on parallel computing ...
International audienceMulticore system analysis requires efficient solutions for architectural param...
International audienceAnticipating the behavior of applications, studying, and designing algorithms ...
International audienceThe evolution of manycore sytems, forecasted to feature hundreds of cores by t...
Traditional software testing methods are inefficient for multithreaded software. In order to verify ...
The massively parallel computer architectures emerged in the last years create the platform to redef...
Anticiper le comportement des applications, étudier et concevoir des algorithmes sont quelques-uns d...
Performance analysis tools are an important component of the parallel program development and tuning...
Over the past few years, computer architecture research has moved towards execution-driven simulatio...
Abstract. Performance analysis tools are an important component of the parallel program development ...
Part 1: Session 1: Parallel Programming and AlgorithmsInternational audienceInstruction traces play ...
This paper demonstrates how OpenMP 4.5 tasks can be used to eciently overlap computations and MPI co...
Anticipating the behavior of applications, studying, and designing algorithms are some of the most i...
As the complexity of processors increases, it becomes harder for designers to understand the non-tri...
To increase performance, modern processors employ complex techniques such as out-of-order pipelines ...
Analyzing and understanding the performance behavior of parallel applications on parallel computing ...
International audienceMulticore system analysis requires efficient solutions for architectural param...
International audienceAnticipating the behavior of applications, studying, and designing algorithms ...
International audienceThe evolution of manycore sytems, forecasted to feature hundreds of cores by t...
Traditional software testing methods are inefficient for multithreaded software. In order to verify ...
The massively parallel computer architectures emerged in the last years create the platform to redef...
Anticiper le comportement des applications, étudier et concevoir des algorithmes sont quelques-uns d...
Performance analysis tools are an important component of the parallel program development and tuning...
Over the past few years, computer architecture research has moved towards execution-driven simulatio...
Abstract. Performance analysis tools are an important component of the parallel program development ...
Part 1: Session 1: Parallel Programming and AlgorithmsInternational audienceInstruction traces play ...
This paper demonstrates how OpenMP 4.5 tasks can be used to eciently overlap computations and MPI co...
Anticipating the behavior of applications, studying, and designing algorithms are some of the most i...
As the complexity of processors increases, it becomes harder for designers to understand the non-tri...
To increase performance, modern processors employ complex techniques such as out-of-order pipelines ...
Analyzing and understanding the performance behavior of parallel applications on parallel computing ...