A large number of Fortran legacy programs are still running in production environments, and most of these applications are running sequentially. Multi- and Many- core architectures are established as (almost) the only processing hardware available, and new programming techniques that take advantage of these architectures are necessary. In this report, we will explore the impact of applying some of these techniques into legacy Fortran source code. Furthermore, we have measured the impact in the program performance introduced by each technique. The OpenACC standard has resulted in one of the most interesting techniques to be used on Fortran Legacy source code that brings speed up while requiring minimum source code changes.Technical Report PL...
The relentless demands for improvements in the compute throughput, and energy efficiency have driven...
A comparison of PGI OpenACC, FORTRAN CUDA, and Nvidia CUDA pseudospectral methods on a single GPU an...
[EN] This paper presents a meaningful practical performance comparison between the last generation ...
A large number of Fortran legacy programs are still running in production environments, and most of ...
A large number of Fortran legacy programs are still running in production environments, and most of ...
In this seminar we will present our methodology of unleashing the potential of GPU computing in lega...
This thesis is based on a certain type of legacy software that came from scientific research. Scient...
It is di cult to maintain legacy Fortran programs that use outdated programming constructs, especial...
GPU computing has established itself as a way to accelerate parallel codes in the high performance c...
Graphics processing units and similar accelerators have been intensively used in general purpose com...
Fortran has largely enjoyed prominence for the past few decades as the computer programming language...
Massively parallel accelerators such as GPGPUs, manycores and FPGAs represent a powerful and afforda...
GPU-accelerated computing drives current scientific research. Writing fast numeric algorithms for GP...
From its earliest days, the Fortran programming language has been designed with computing efficiency...
In this paper, we present the first, preliminary results of HPF/Fortran-D language analysis based on...
The relentless demands for improvements in the compute throughput, and energy efficiency have driven...
A comparison of PGI OpenACC, FORTRAN CUDA, and Nvidia CUDA pseudospectral methods on a single GPU an...
[EN] This paper presents a meaningful practical performance comparison between the last generation ...
A large number of Fortran legacy programs are still running in production environments, and most of ...
A large number of Fortran legacy programs are still running in production environments, and most of ...
In this seminar we will present our methodology of unleashing the potential of GPU computing in lega...
This thesis is based on a certain type of legacy software that came from scientific research. Scient...
It is di cult to maintain legacy Fortran programs that use outdated programming constructs, especial...
GPU computing has established itself as a way to accelerate parallel codes in the high performance c...
Graphics processing units and similar accelerators have been intensively used in general purpose com...
Fortran has largely enjoyed prominence for the past few decades as the computer programming language...
Massively parallel accelerators such as GPGPUs, manycores and FPGAs represent a powerful and afforda...
GPU-accelerated computing drives current scientific research. Writing fast numeric algorithms for GP...
From its earliest days, the Fortran programming language has been designed with computing efficiency...
In this paper, we present the first, preliminary results of HPF/Fortran-D language analysis based on...
The relentless demands for improvements in the compute throughput, and energy efficiency have driven...
A comparison of PGI OpenACC, FORTRAN CUDA, and Nvidia CUDA pseudospectral methods on a single GPU an...
[EN] This paper presents a meaningful practical performance comparison between the last generation ...