Full spectrum of results of "Automated Load Balancing in OpenMP". Performance of various scientific applications with various OpenMP scheduling algorithms and chunk parameter values. Evaluation of the performance of the newly introduced automatic load balancing methods in AUTO4OMP on the performance of scientific applications. AUTO4OMP automatically selects a suitable scheduling algorithm and a chunk parameter value during execution for OpenMP loops
The widespread adoption of multicore processors in all kind of computing devices is springing intere...
This chapter introduces the design of the OpenMP runtime and its key components, the offloading libr...
As the hardware is evolving, the amount of cores increases and so does the use of parallel computing...
introduce three scheduling algorithm selection methods and an expert-defined chunk parameter for Ope...
Increasing node and cores-per-node counts in supercomputers render scheduling and load balancing cri...
OpenMP is in the process of adding a tasking model that allows the programmer to specify independent...
Parallelisation is becoming more and more important as the single core performance increase is stagn...
LB4OMP v1.0 LB4OMP is an extended LLVM OpenMP runtime library that supports thirteen dynamic and ad...
OpenMP, a directive-based API supports multithreading programming on shared memory systems. Since O...
In light of continued advances in loop scheduling, this work revisits the OpenMP loop scheduling by ...
OpenMP has been very successful in exploiting structured parallelism in applications. With increasin...
Abstract—OpenMP has been very successful in exploiting structured parallelism in applications. With ...
Abstract. In this paper we describe an autotuning tool for optimiza-tion of OpenMP applications on h...
As of 2008, the OpenMP 3.0 standard includes task support allowing programmers to exploit irregula...
OpenMP has become a reference standard for the design of parallel applications. This standard is evo...
The widespread adoption of multicore processors in all kind of computing devices is springing intere...
This chapter introduces the design of the OpenMP runtime and its key components, the offloading libr...
As the hardware is evolving, the amount of cores increases and so does the use of parallel computing...
introduce three scheduling algorithm selection methods and an expert-defined chunk parameter for Ope...
Increasing node and cores-per-node counts in supercomputers render scheduling and load balancing cri...
OpenMP is in the process of adding a tasking model that allows the programmer to specify independent...
Parallelisation is becoming more and more important as the single core performance increase is stagn...
LB4OMP v1.0 LB4OMP is an extended LLVM OpenMP runtime library that supports thirteen dynamic and ad...
OpenMP, a directive-based API supports multithreading programming on shared memory systems. Since O...
In light of continued advances in loop scheduling, this work revisits the OpenMP loop scheduling by ...
OpenMP has been very successful in exploiting structured parallelism in applications. With increasin...
Abstract—OpenMP has been very successful in exploiting structured parallelism in applications. With ...
Abstract. In this paper we describe an autotuning tool for optimiza-tion of OpenMP applications on h...
As of 2008, the OpenMP 3.0 standard includes task support allowing programmers to exploit irregula...
OpenMP has become a reference standard for the design of parallel applications. This standard is evo...
The widespread adoption of multicore processors in all kind of computing devices is springing intere...
This chapter introduces the design of the OpenMP runtime and its key components, the offloading libr...
As the hardware is evolving, the amount of cores increases and so does the use of parallel computing...