International audienceIn this session you will learn how to program multi GPU systems or GPU clusters using the Message Passing Interface (MPI) and OpenACC. The session starts by giving a quick introduction to MPI and how a CUDA-aware MPI implementation can be used with OpenACC. Other topics covered are: how to handle GPU affinity in multi GPU systems, overlapping communication with computation to hide communication times and using the NVIDIA performance analysis tools. As we'll be using GPUs hosted in the cloud, all you are required to bring is a laptop with a modern browser
Graphics Processing Units (GPU) have been widely adopted to accelerate the execution of HPC workload...
GPUs, Graphics Processing Units, offer a large amount of processing power by providing a platform fo...
OpenACC is a directive-based programming model for highly parallel systems, which allows for automat...
GPU-accelerated computing drives current scientific research. Writing fast numeric algorithms for GP...
OpenACC is a directive-based programming model for highly parallel systems, which allows for automat...
International audienceHeterogeneous supercomputers are now considered the most valuable solution to ...
OpenACC is a directive-based programming model for highly parallel systems, which allows for automat...
After the introduction of CUDA by Nvidia, the GPUs became devices capable of accelerating any genera...
Over the past years, GPUs became ubiquitous in HPC installations around the world. Today, they provi...
GPU-accelerated computing drives current scientific research. Writing fast numeric algorithms for GP...
Modern HPC platforms are using multiple CPU, GPUs and high-performance interconnects per node. Unfor...
The introduction and rise of General Purpose Graphics Computing has significantly impacted parallel ...
Abstract—Data movement in high-performance computing systems accelerated by graphics processing unit...
GPUs, Graphics Processing Units, offer a large amount of processing power by providing a platform fo...
OpenACC is a directive-based programing standard aim to provide a highly portable programming model ...
Graphics Processing Units (GPU) have been widely adopted to accelerate the execution of HPC workload...
GPUs, Graphics Processing Units, offer a large amount of processing power by providing a platform fo...
OpenACC is a directive-based programming model for highly parallel systems, which allows for automat...
GPU-accelerated computing drives current scientific research. Writing fast numeric algorithms for GP...
OpenACC is a directive-based programming model for highly parallel systems, which allows for automat...
International audienceHeterogeneous supercomputers are now considered the most valuable solution to ...
OpenACC is a directive-based programming model for highly parallel systems, which allows for automat...
After the introduction of CUDA by Nvidia, the GPUs became devices capable of accelerating any genera...
Over the past years, GPUs became ubiquitous in HPC installations around the world. Today, they provi...
GPU-accelerated computing drives current scientific research. Writing fast numeric algorithms for GP...
Modern HPC platforms are using multiple CPU, GPUs and high-performance interconnects per node. Unfor...
The introduction and rise of General Purpose Graphics Computing has significantly impacted parallel ...
Abstract—Data movement in high-performance computing systems accelerated by graphics processing unit...
GPUs, Graphics Processing Units, offer a large amount of processing power by providing a platform fo...
OpenACC is a directive-based programing standard aim to provide a highly portable programming model ...
Graphics Processing Units (GPU) have been widely adopted to accelerate the execution of HPC workload...
GPUs, Graphics Processing Units, offer a large amount of processing power by providing a platform fo...
OpenACC is a directive-based programming model for highly parallel systems, which allows for automat...