This WhitePaper explores the possible benefit of using OpenACC performance tuning directives, comparing the two prevalent implementations of the standard, CAPS and PGI. The performance of the default generated code along with the impact of the gang and vector parameters is evaluated through a matrix-matrix multiplication an a Classical Gram-Schmidt orthonormalization. Additonally, the impact in the context of a change in the hardware is assessed
The proliferation of accelerators in modern clusters makes efficient coprocessor programming a key r...
Producción CientíficaOpenACC has been on development for a few years now. The OpenACC 2.5 specificat...
The rapid development in computing technology has paved the way for directive-based programming mode...
This paper presents a performance comparison between CUDA and OpenACC. The performance analysis focu...
In recent years, GPU computing has been very popular for scientific applications, especially after t...
The performance portability of OpenCL kernel implementa-tions for common memory bandwidth limited li...
Producción CientíficaOpenACC is a parallel programming model for hardware accelerators, such as GPUs...
OpenACC compilers allow one to use Graphics Processing Units without having to write explicit CUDA c...
The trend of using co-processors as accelerators to perform certain tasks is rising in the parallel...
In this document we describe the performance-critical numerical kernels extracted from a number of c...
Performance of the operating system kernel is critical to many applications running on it. Although ...
OpenACC, a directive-based GPU programing standard, is emerging as a promis-ing technology for massi...
A serial source code for simulating a supersonic ejector flow is accelerated using parallelization b...
GPUs are getting more and more important in scientific computing, slowly growing from peripheral acc...
Accelerator devices are increasingly used to build large supercomputers and current installations us...
The proliferation of accelerators in modern clusters makes efficient coprocessor programming a key r...
Producción CientíficaOpenACC has been on development for a few years now. The OpenACC 2.5 specificat...
The rapid development in computing technology has paved the way for directive-based programming mode...
This paper presents a performance comparison between CUDA and OpenACC. The performance analysis focu...
In recent years, GPU computing has been very popular for scientific applications, especially after t...
The performance portability of OpenCL kernel implementa-tions for common memory bandwidth limited li...
Producción CientíficaOpenACC is a parallel programming model for hardware accelerators, such as GPUs...
OpenACC compilers allow one to use Graphics Processing Units without having to write explicit CUDA c...
The trend of using co-processors as accelerators to perform certain tasks is rising in the parallel...
In this document we describe the performance-critical numerical kernels extracted from a number of c...
Performance of the operating system kernel is critical to many applications running on it. Although ...
OpenACC, a directive-based GPU programing standard, is emerging as a promis-ing technology for massi...
A serial source code for simulating a supersonic ejector flow is accelerated using parallelization b...
GPUs are getting more and more important in scientific computing, slowly growing from peripheral acc...
Accelerator devices are increasingly used to build large supercomputers and current installations us...
The proliferation of accelerators in modern clusters makes efficient coprocessor programming a key r...
Producción CientíficaOpenACC has been on development for a few years now. The OpenACC 2.5 specificat...
The rapid development in computing technology has paved the way for directive-based programming mode...
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