The rise in node-level parallelism has increased interest in task-based parallel runtimes for a wide array of application areas. Applications have a wide variety of task spawning patterns which frequently change during the course of application execution, based on the algorithm or solver kernel in use. Task scheduling and load balance regimes, however, are often highly optimized for specific patterns. This paper uses four basic task spawning patterns to quantify the impact of specific scheduling policy decisions on execution time. We compare the behavior of six publicly available tasking runtimes: Intel Cilk, Intel Threading Building Blocks (TBB), Intel OpenMP, GCC OpenMP, Qthreads, and High Performance ParalleX (HPX). With the exception of...
Task-based programming models are becoming increasingly important, as they can reduce the synchroniz...
The introduction of task constructs in the OpenMP programming model offers a user a new way to speci...
Maximizing the performance of computer systems while making them more energy efficient is vital for ...
The need for parallel programming models that are simple to use and at the same time efficient for c...
The shift toward multicore processors has transformed the software and hardware landscape in the las...
The OpenMP programming model provides parallel applications a very important feature: job malleabili...
With High Performance Computing moving towards Exascale, where parallel applications will be require...
Modern computer architectures expose an increasing number of parallel features supported by complex ...
The need for parallel programming models that are simple to use and at the same time efficient for c...
The parallel programming community is witnessing two main trends - the growing popularity of task-ba...
Parallel task-based programming models like OpenMP support the declaration of task data dependences....
Task parallelism raises the level of abstraction in shared memory parallel programming to simplify t...
The concept of task already exists in many parallel programming models. Programmers express parallel...
Achieving high performance in task-parallel runtime systems, especially with high degrees of paralle...
Across the landscape of computing, parallelism within applications is increasingly important in orde...
Task-based programming models are becoming increasingly important, as they can reduce the synchroniz...
The introduction of task constructs in the OpenMP programming model offers a user a new way to speci...
Maximizing the performance of computer systems while making them more energy efficient is vital for ...
The need for parallel programming models that are simple to use and at the same time efficient for c...
The shift toward multicore processors has transformed the software and hardware landscape in the las...
The OpenMP programming model provides parallel applications a very important feature: job malleabili...
With High Performance Computing moving towards Exascale, where parallel applications will be require...
Modern computer architectures expose an increasing number of parallel features supported by complex ...
The need for parallel programming models that are simple to use and at the same time efficient for c...
The parallel programming community is witnessing two main trends - the growing popularity of task-ba...
Parallel task-based programming models like OpenMP support the declaration of task data dependences....
Task parallelism raises the level of abstraction in shared memory parallel programming to simplify t...
The concept of task already exists in many parallel programming models. Programmers express parallel...
Achieving high performance in task-parallel runtime systems, especially with high degrees of paralle...
Across the landscape of computing, parallelism within applications is increasingly important in orde...
Task-based programming models are becoming increasingly important, as they can reduce the synchroniz...
The introduction of task constructs in the OpenMP programming model offers a user a new way to speci...
Maximizing the performance of computer systems while making them more energy efficient is vital for ...