Abstract. A recent trend in mainstream computer nodes is the com-bined use of general-purpose multicore processors and specialized accel-erators such as GPUs and DSPs in order to achieve better performance and to reduce power consumption. To support this trend, the OpenMP Language Committee has approved a set of extensions to OpenMP (re-ferred to as the OpenMP accelerator model). The initial version is the subject of Technical Report 1 (TR1) while OpenMP 4.0 Release Candi-date 2 (RC2) further refines the extensions. In this paper, we examine the newly released accelerator directives and create an initial reference implementation, referred to as HOMP (Het-erogeneous OpenMP). Focused on targeting NVIDIA GPUs, our work is based on an existing ...
Heterogeneous multicores like GPGPUs are now commonplace in modern computing systems. Although heter...
With the introduction of more powerful and massively parallel embedded processors, embedded systems ...
GPGPUs have recently emerged as powerful vehicles for general-purpose high-performance computing. Al...
OpenMP [13] is the dominant programming model for shared-memory parallelism in C, C++ and Fortran du...
Abstract- GPU Offloading is emergent programming model. OpenMP includes in its latest 4.0 specificat...
Heterogeneous computing is increasingly being used in a diversity of computing systems, ranging from...
Abstract. OpenMP is a popular and evolving programming model for shared-memory platforms. It relies ...
GPUs as general purpose processors already are well adopted in scien-tific and high performance comp...
OpenMP is a popular and evolving programming model for shared-memory platforms. It relies on compile...
The use of GPU accelerators is becoming common in HPC platforms due to the their effective performan...
Graphics Processing Units (GPU) have been widely adopted to accelerate the execution of HPC workload...
OpenMP enables productive software development that targets shared-memory general purpose systems. H...
Accelerated computing is becoming more diverse as new vendors and architectures come into play. Alth...
The proliferation of accelerators in modern clusters makes efficient coprocessor programming a key r...
This work was supported by MEEP project, which has received funding from the European High-Performan...
Heterogeneous multicores like GPGPUs are now commonplace in modern computing systems. Although heter...
With the introduction of more powerful and massively parallel embedded processors, embedded systems ...
GPGPUs have recently emerged as powerful vehicles for general-purpose high-performance computing. Al...
OpenMP [13] is the dominant programming model for shared-memory parallelism in C, C++ and Fortran du...
Abstract- GPU Offloading is emergent programming model. OpenMP includes in its latest 4.0 specificat...
Heterogeneous computing is increasingly being used in a diversity of computing systems, ranging from...
Abstract. OpenMP is a popular and evolving programming model for shared-memory platforms. It relies ...
GPUs as general purpose processors already are well adopted in scien-tific and high performance comp...
OpenMP is a popular and evolving programming model for shared-memory platforms. It relies on compile...
The use of GPU accelerators is becoming common in HPC platforms due to the their effective performan...
Graphics Processing Units (GPU) have been widely adopted to accelerate the execution of HPC workload...
OpenMP enables productive software development that targets shared-memory general purpose systems. H...
Accelerated computing is becoming more diverse as new vendors and architectures come into play. Alth...
The proliferation of accelerators in modern clusters makes efficient coprocessor programming a key r...
This work was supported by MEEP project, which has received funding from the European High-Performan...
Heterogeneous multicores like GPGPUs are now commonplace in modern computing systems. Although heter...
With the introduction of more powerful and massively parallel embedded processors, embedded systems ...
GPGPUs have recently emerged as powerful vehicles for general-purpose high-performance computing. Al...