High-performance computing are based more and more in heterogeneous architectures and GPGPUs have become one of the main integrated blocks in these, as the recently emerged Mali GPU in embedded systems or the NVIDIA GPUs in HPC servers. In both GPGPUs, programming could become a hurdle that can limit their adoption, since the programmer has to learn the hardware capabilities and the language to work with these. We present OMP2HMPP, a tool that, automatically trans-lates a high-level C source code(OpenMP) code into HMPP. The generated version rarely will differs from a hand-coded HMPP version, and will provide an important speedup, near 113×, that could be later improved by hand-coded CUDA. The generated code could be transported either to H...
The relentless demands for improvements in the compute throughput, and energy efficiency have driven...
Abstract: General-Purpose Graphics Processing Units (GPGPUs) provide inexpensive, high performance p...
Graphic cards (GPUs), initially used for graphic processing, have a highly parallel architecture. In...
In heterogeneous environments with multi-core systems and accelerators, programming and optimizing l...
General-purpose graphics processing units (GPGPUs) provide inexpensive, high performance platforms f...
Hybrid parallel multicore architectures based on graphics processing units (GPUs) can provide tremen...
GPGPUs have recently emerged as powerful vehicles for general-purpose high-performance computing. Al...
General-Purpose Graphics Processing Units (GPGPUs) are promising parallel platforms for high perform...
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...
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...
Parallel processing using GPUs provides substantial increases in algorithm performance across many d...
Abstract The use of GPUs for general purpose computation has increased dramatically in the past year...
Heterogeneous computing system increases the performance of parallel computing in many domain of gen...
The relentless demands for improvements in the compute throughput, and energy efficiency have driven...
Abstract: General-Purpose Graphics Processing Units (GPGPUs) provide inexpensive, high performance p...
Graphic cards (GPUs), initially used for graphic processing, have a highly parallel architecture. In...
In heterogeneous environments with multi-core systems and accelerators, programming and optimizing l...
General-purpose graphics processing units (GPGPUs) provide inexpensive, high performance platforms f...
Hybrid parallel multicore architectures based on graphics processing units (GPUs) can provide tremen...
GPGPUs have recently emerged as powerful vehicles for general-purpose high-performance computing. Al...
General-Purpose Graphics Processing Units (GPGPUs) are promising parallel platforms for high perform...
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...
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...
Parallel processing using GPUs provides substantial increases in algorithm performance across many d...
Abstract The use of GPUs for general purpose computation has increased dramatically in the past year...
Heterogeneous computing system increases the performance of parallel computing in many domain of gen...
The relentless demands for improvements in the compute throughput, and energy efficiency have driven...
Abstract: General-Purpose Graphics Processing Units (GPGPUs) provide inexpensive, high performance p...
Graphic cards (GPUs), initially used for graphic processing, have a highly parallel architecture. In...