Add to ORKGCurrent trends in High Performance Computing suggest a significant shift towards heterogeneous architectures, utilising GPUs and other accelerators for their combination of computation capacity and power efficiency. Therefore, programming heterogeneous applications becomes increasingly relevant. However, the programming models for accelerators may present challenges that render the development process difficult and require extra effort from developers to handle tha parallelisation issues. OpenACC is a directive-based programming model aiming to facilitate the development of heterogeneous applications, abstracting the accelerator specific details from the programmer. OmpSs-2 is a directive-based, task parallel programming model, designed to ...
This paper advances the state-of-the-art in programming models for exploiting task-level parallelis...
CUDA and OpenCL are the most widely used programming models to exploit hardware accelerators. Both p...
Graphics Processing Units (GPU) have been widely adopted to accelerate the execution of HPC workload...
The increasing demand in HPC to utilize accelerators has motivated the development of pragma-based d...
As new heterogeneous systems and hardware accelerators appear, high performance computers can reach ...
The advent of heterogeneous computing has forced programmers to use platform specific programming pa...
OpenMP includes in its latest 4.0 specification the accelerator model. In this paper we present a pa...
Abstract—As new heterogeneous systems and hardware ac-celerators appear, high performance computers ...
The use of GPU accelerators is becoming common in HPC platforms due to the their effective performan...
HPC machines in the race for exascale computing are more heterogeneous than ever. The complexity of ...
HPC systems have become mandatory to tackle the ever-increasing challenges imposed by new exploratio...
With heterogeneous computing becoming mainstream, researchers and software vendors have been trying ...
Abstract- Twenty-first century parallel programming models are becoming real complex due to the dive...
This paper advances the state-of-the-art in programming models for exploiting task-level parallelism...
In the past decade, accelerators, commonly Graphics Processing Units (GPUs), have played a key role ...
This paper advances the state-of-the-art in programming models for exploiting task-level parallelis...
CUDA and OpenCL are the most widely used programming models to exploit hardware accelerators. Both p...
Graphics Processing Units (GPU) have been widely adopted to accelerate the execution of HPC workload...
The increasing demand in HPC to utilize accelerators has motivated the development of pragma-based d...
As new heterogeneous systems and hardware accelerators appear, high performance computers can reach ...
The advent of heterogeneous computing has forced programmers to use platform specific programming pa...
OpenMP includes in its latest 4.0 specification the accelerator model. In this paper we present a pa...
Abstract—As new heterogeneous systems and hardware ac-celerators appear, high performance computers ...
The use of GPU accelerators is becoming common in HPC platforms due to the their effective performan...
HPC machines in the race for exascale computing are more heterogeneous than ever. The complexity of ...
HPC systems have become mandatory to tackle the ever-increasing challenges imposed by new exploratio...
With heterogeneous computing becoming mainstream, researchers and software vendors have been trying ...
Abstract- Twenty-first century parallel programming models are becoming real complex due to the dive...
This paper advances the state-of-the-art in programming models for exploiting task-level parallelism...
In the past decade, accelerators, commonly Graphics Processing Units (GPUs), have played a key role ...
This paper advances the state-of-the-art in programming models for exploiting task-level parallelis...
CUDA and OpenCL are the most widely used programming models to exploit hardware accelerators. Both p...
Graphics Processing Units (GPU) have been widely adopted to accelerate the execution of HPC workload...