Add to ORKGOpenMP being the standard to use in shared memory parallel programming, it offers the possibility to parallelize sequential program with accelerators by using target directive. However, CUDA Graph as a new, efficient feature is not supported yet. In this work, we present an automatic transformation of OpenMP TDG to CUDA Graph, increasing the programmability of the latter
The main contribution of this work is to increase the coding productivity for GPU programming by usi...
En el campo de la programación paralela se ha visto llegar un nuevo gran jugador en losúltimos 10 añ...
This article evaluates the current support for heterogeneous OpenMP 5.2 applications regarding the s...
Heterogeneous computing is increasingly being used in a diversity of computing systems, ranging from...
OpenMP is a parallel programming model widely used on shared-memory systems. Over the years, the Ope...
Hybrid computer systems combine compute units (CUs) of different nature like CPUs, GPUs and FPGAs. S...
A major shift in technology from maximizing single-core performance to integrating multiple cores ha...
OpenMP, as the de-facto standard programming model in symmetric multiprocessing for HPC, has seen it...
OpenMP [13] is the dominant programming model for shared-memory parallelism in C, C++ and Fortran du...
General-Purpose Graphics Processing Units (GPGPUs) are promising parallel platforms for high perform...
GPGPUs have recently emerged as powerful vehicles for general-purpose high-performance computing. Al...
Graphics Processing Units (GPU) have been widely adopted to accelerate the execution of HPC workload...
The main contribution of this work is to increase the coding productivity of GPU programming by usin...
OpenMP is the de-facto standard for shared memory systems in High-Performance Computing (HPC). It in...
The most popular multithreaded languages based on the fork-join concurrency model (CIlkPlus, OpenMP)...
The main contribution of this work is to increase the coding productivity for GPU programming by usi...
En el campo de la programación paralela se ha visto llegar un nuevo gran jugador en losúltimos 10 añ...
This article evaluates the current support for heterogeneous OpenMP 5.2 applications regarding the s...
Heterogeneous computing is increasingly being used in a diversity of computing systems, ranging from...
OpenMP is a parallel programming model widely used on shared-memory systems. Over the years, the Ope...
Hybrid computer systems combine compute units (CUs) of different nature like CPUs, GPUs and FPGAs. S...
A major shift in technology from maximizing single-core performance to integrating multiple cores ha...
OpenMP, as the de-facto standard programming model in symmetric multiprocessing for HPC, has seen it...
OpenMP [13] is the dominant programming model for shared-memory parallelism in C, C++ and Fortran du...
General-Purpose Graphics Processing Units (GPGPUs) are promising parallel platforms for high perform...
GPGPUs have recently emerged as powerful vehicles for general-purpose high-performance computing. Al...
Graphics Processing Units (GPU) have been widely adopted to accelerate the execution of HPC workload...
The main contribution of this work is to increase the coding productivity of GPU programming by usin...
OpenMP is the de-facto standard for shared memory systems in High-Performance Computing (HPC). It in...
The most popular multithreaded languages based on the fork-join concurrency model (CIlkPlus, OpenMP)...
The main contribution of this work is to increase the coding productivity for GPU programming by usi...
En el campo de la programación paralela se ha visto llegar un nuevo gran jugador en losúltimos 10 añ...
This article evaluates the current support for heterogeneous OpenMP 5.2 applications regarding the s...