The announcement late 2011 of the new OpenACC directive-based programming standard supported by CAPS, CRAY and PGI compilers has open up the door to more scientific applications that can be ported on many-core systems. Following a porting methodology, this talk will first review the principles of programming with OpenACC and then the advanced features available in the CAPS compilers to further optimize OpenACC applications: library integration, tuning directives with auto-tune mechanisms to build applications adaptive to different GPUs. CAPS compilers use hardware vendors' backends such as NVIDIA CUDA and OpenCL making them the only OpenACC compilers supporting various many-core architectures. About the speaker Stéphane Bih...
The proliferation of accelerators, in particular GPUs, over the past decade is im- pacting the way s...
Producción CientíficaOpenACC is a parallel programming model for automatic parallelization of sequen...
GPU-accelerated computing drives current scientific research. Writing fast numeric algorithms for GP...
Producción CientíficaOpenACC has been on development for a few years now. The OpenACC 2.5 specificat...
In recent years, GPU computing has been very popular for scientific applications, especially after t...
This article studies mini-applications—Minisweep, GenASiS, GPP, and FF—that use computational method...
GPU-accelerated computing drives current scientific research. Writing fast numeric algorithms for GP...
Graphics Processing Units (GPU) have been widely adopted to accelerate the execution of HPC workload...
OpenACC is a directive-based programming model for highly parallel systems, which allows for automat...
For many years now, processor vendors increased the performance of their devices by adding more core...
OpenACC is a directive-based programming model for highly parallel systems, which allows for automat...
Abstract. OpenACC is an emerging directive-based programming model for programming accelerators that...
Producción CientíficaOpenACC is a parallel programming model for hardware accelerators, such as GPUs...
Accelerators have been deployed on most major HPC systems. They are considered to improve the perfor...
In the past decade, accelerators, commonly Graphics Processing Units (GPUs), have played a key role ...
The proliferation of accelerators, in particular GPUs, over the past decade is im- pacting the way s...
Producción CientíficaOpenACC is a parallel programming model for automatic parallelization of sequen...
GPU-accelerated computing drives current scientific research. Writing fast numeric algorithms for GP...
Producción CientíficaOpenACC has been on development for a few years now. The OpenACC 2.5 specificat...
In recent years, GPU computing has been very popular for scientific applications, especially after t...
This article studies mini-applications—Minisweep, GenASiS, GPP, and FF—that use computational method...
GPU-accelerated computing drives current scientific research. Writing fast numeric algorithms for GP...
Graphics Processing Units (GPU) have been widely adopted to accelerate the execution of HPC workload...
OpenACC is a directive-based programming model for highly parallel systems, which allows for automat...
For many years now, processor vendors increased the performance of their devices by adding more core...
OpenACC is a directive-based programming model for highly parallel systems, which allows for automat...
Abstract. OpenACC is an emerging directive-based programming model for programming accelerators that...
Producción CientíficaOpenACC is a parallel programming model for hardware accelerators, such as GPUs...
Accelerators have been deployed on most major HPC systems. They are considered to improve the perfor...
In the past decade, accelerators, commonly Graphics Processing Units (GPUs), have played a key role ...
The proliferation of accelerators, in particular GPUs, over the past decade is im- pacting the way s...
Producción CientíficaOpenACC is a parallel programming model for automatic parallelization of sequen...
GPU-accelerated computing drives current scientific research. Writing fast numeric algorithms for GP...