Abstract. OpenACC is an emerging directive-based programming model for programming accelerators that typically enable non-expert program-mers to achieve portable and productive performance of their applica-tions. In this paper, we present the research and development challenges, and our solutions to create an open-source OpenACC compiler in a main stream compiler framework (OpenUH of a branch of Open64). We discuss in details our loop mapping techniques, i.e. how to distribute loop itera-tions over the GPGPU’s threading architectures, as well as their impacts on performance. The runtime support of this programming model are also presented. The compiler was evaluated with several commonly used benchmarks, and delivered similar performance to...
In recent years, GPU computing has been very popular for scientific applications, especially after t...
Directive-based programming approaches such as OpenMP and OpenACC have gained popularity due to thei...
Current trends in High Performance Computing suggest a significant shift towards heterogeneous archi...
Accelerators have been deployed on most major HPC systems. They are considered to improve the perfor...
The broad adoption of accelerators boosts the interest in accelerator programming models. OpenACC is...
In the past decade, accelerators, commonly Graphics Processing Units (GPUs), have played a key role ...
OpenACC is a directive-based programming model for highly parallel systems, which allows for automat...
OpenACC is a directive-based programming model for highly parallel systems, which allows for automat...
OpenACC is a directive-based programming model for highly parallel systems, which allows for automat...
Producción CientíficaOpenACC has been on development for a few years now. The OpenACC 2.5 specificat...
AbstractSome of the critical hurdles for the widespread adoption of accelerators in high performance...
GPU-accelerated computing drives current scientific research. Writing fast numeric algorithms for GP...
An increasing number of massively parallel machines adopt heterogeneous node architectures combining...
Graphics Processing Units (GPU) have been widely adopted to accelerate the execution of HPC workload...
GPU-accelerated computing drives current scientific research. Writing fast numeric algorithms for GP...
In recent years, GPU computing has been very popular for scientific applications, especially after t...
Directive-based programming approaches such as OpenMP and OpenACC have gained popularity due to thei...
Current trends in High Performance Computing suggest a significant shift towards heterogeneous archi...
Accelerators have been deployed on most major HPC systems. They are considered to improve the perfor...
The broad adoption of accelerators boosts the interest in accelerator programming models. OpenACC is...
In the past decade, accelerators, commonly Graphics Processing Units (GPUs), have played a key role ...
OpenACC is a directive-based programming model for highly parallel systems, which allows for automat...
OpenACC is a directive-based programming model for highly parallel systems, which allows for automat...
OpenACC is a directive-based programming model for highly parallel systems, which allows for automat...
Producción CientíficaOpenACC has been on development for a few years now. The OpenACC 2.5 specificat...
AbstractSome of the critical hurdles for the widespread adoption of accelerators in high performance...
GPU-accelerated computing drives current scientific research. Writing fast numeric algorithms for GP...
An increasing number of massively parallel machines adopt heterogeneous node architectures combining...
Graphics Processing Units (GPU) have been widely adopted to accelerate the execution of HPC workload...
GPU-accelerated computing drives current scientific research. Writing fast numeric algorithms for GP...
In recent years, GPU computing has been very popular for scientific applications, especially after t...
Directive-based programming approaches such as OpenMP and OpenACC have gained popularity due to thei...
Current trends in High Performance Computing suggest a significant shift towards heterogeneous archi...