Add to ORKGAbstract- GPU Offloading is emergent programming model. OpenMP includes in its latest 4.0 specification the accelerator model. In this paper we present a newly implementation of this specification while generationg "native " GPU code in the OmpSs programming model developed at the Barcelona Supercomputing Center. Focused on targeting NVIDIA GPUs, our work is based on an OpenMP 4.0 implementation in the Mercurium source-to-source compiler infrastructure referred MACC[1] (Mercurium ACCelerator compiler). Finally, the paper is also discuss challenges od code generation for GPUs. I
In this paper, we present OMPSs, a programming model based on OpenMP and StarSs, that can also incor...
GPGPUs have recently emerged as powerful vehicles for general-purpose high-performance computing. Al...
GPUs as general purpose processors already are well adopted in scien-tific and high performance comp...
Graphics Processing Units (GPU) have been widely adopted to accelerate the execution of HPC workload...
I present a MACC compiler which is partial implementation of this specification in the OmpSs program...
GPUs are getting more and more important in scientific computing, slowly growing from peripheral acc...
Abstract. A recent trend in mainstream computer nodes is the com-bined use of general-purpose multic...
This paper presents the OmpSs approach to deal with heterogeneous programming on GPU and FPGA accele...
General-purpose graphics processing units (GPGPUs) provide inexpensive, high performance platforms f...
Accelerated computing is becoming more diverse as new vendors and architectures come into play. Alth...
General-Purpose Graphics Processing Units (GPGPUs) are promising parallel platforms for high perform...
Abstract- Twenty-first century parallel programming models are becoming real complex due to the dive...
Heterogeneous computing is increasingly being used in a diversity of computing systems, ranging from...
OpenACC is a directive-based programming model for highly parallel systems, which allows for automat...
OpenMP [13] is the dominant programming model for shared-memory parallelism in C, C++ and Fortran du...
In this paper, we present OMPSs, a programming model based on OpenMP and StarSs, that can also incor...
GPGPUs have recently emerged as powerful vehicles for general-purpose high-performance computing. Al...
GPUs as general purpose processors already are well adopted in scien-tific and high performance comp...
Graphics Processing Units (GPU) have been widely adopted to accelerate the execution of HPC workload...
I present a MACC compiler which is partial implementation of this specification in the OmpSs program...
GPUs are getting more and more important in scientific computing, slowly growing from peripheral acc...
Abstract. A recent trend in mainstream computer nodes is the com-bined use of general-purpose multic...
This paper presents the OmpSs approach to deal with heterogeneous programming on GPU and FPGA accele...
General-purpose graphics processing units (GPGPUs) provide inexpensive, high performance platforms f...
Accelerated computing is becoming more diverse as new vendors and architectures come into play. Alth...
General-Purpose Graphics Processing Units (GPGPUs) are promising parallel platforms for high perform...
Abstract- Twenty-first century parallel programming models are becoming real complex due to the dive...
Heterogeneous computing is increasingly being used in a diversity of computing systems, ranging from...
OpenACC is a directive-based programming model for highly parallel systems, which allows for automat...
OpenMP [13] is the dominant programming model for shared-memory parallelism in C, C++ and Fortran du...
In this paper, we present OMPSs, a programming model based on OpenMP and StarSs, that can also incor...
GPGPUs have recently emerged as powerful vehicles for general-purpose high-performance computing. Al...
GPUs as general purpose processors already are well adopted in scien-tific and high performance comp...