This report highlights our work on improving GPU parallelization by supporting compute nodes with multiple GPUs. However, since the default support for multi-GPUs in OpenACC is limited[6], the current implementation allows each MPI process to access only a single GPU. Thus, the only way to take full advantage of multi-GPU nodes in the current version is to launch multiple processes, which increases resource contention. We investigated the benefits of having only one process offload to all available GPU devices.Comment: Technical Repor
Coupling commodity CPUs and modern GPUs give you heterogeneous systems that are cheap, high-performa...
International audienceIn this session you will learn how to program multi GPU systems or GPU cluster...
International audienceToday, it is possible to associate multiple CPUs and multiple GPUs in a single...
Lagrangian models are fundamental tools to study atmospheric transport processes and for practical a...
We investigate multi-level parallelism on GPU clusters with MPI-CUDA and hybrid MPI-OpenMP-CUDA para...
High performance computing using graphics processing units (GPUs) is gaining popularity in the scien...
OpenACC is a directive-based programing standard aim to provide a highly portable programming model ...
We utilize the Open Accelerator (OpenACC) approach for graphics processing unit (GPU) accelerated pa...
We present preliminary results of a GPU porting of all main Gadget3 modules (gravity computation, SP...
Graphics Processing Units (GPU) have been widely adopted to accelerate the execution of HPC workload...
The introduction and rise of General Purpose Graphics Computing has significantly impacted parallel ...
OpenACC, a directive-based GPU programing standard, is emerging as a promis-ing technology for massi...
Modern graphics processing units (GPUs) with many-core architectures have emerged as general-purpose...
The end of Dennard scaling and the slowdown of Moore's law led to a shift in technology trends towar...
Graphics Processing Unit (GPU) vendors have been scaling single-GPU architectures to satisfy the eve...
Coupling commodity CPUs and modern GPUs give you heterogeneous systems that are cheap, high-performa...
International audienceIn this session you will learn how to program multi GPU systems or GPU cluster...
International audienceToday, it is possible to associate multiple CPUs and multiple GPUs in a single...
Lagrangian models are fundamental tools to study atmospheric transport processes and for practical a...
We investigate multi-level parallelism on GPU clusters with MPI-CUDA and hybrid MPI-OpenMP-CUDA para...
High performance computing using graphics processing units (GPUs) is gaining popularity in the scien...
OpenACC is a directive-based programing standard aim to provide a highly portable programming model ...
We utilize the Open Accelerator (OpenACC) approach for graphics processing unit (GPU) accelerated pa...
We present preliminary results of a GPU porting of all main Gadget3 modules (gravity computation, SP...
Graphics Processing Units (GPU) have been widely adopted to accelerate the execution of HPC workload...
The introduction and rise of General Purpose Graphics Computing has significantly impacted parallel ...
OpenACC, a directive-based GPU programing standard, is emerging as a promis-ing technology for massi...
Modern graphics processing units (GPUs) with many-core architectures have emerged as general-purpose...
The end of Dennard scaling and the slowdown of Moore's law led to a shift in technology trends towar...
Graphics Processing Unit (GPU) vendors have been scaling single-GPU architectures to satisfy the eve...
Coupling commodity CPUs and modern GPUs give you heterogeneous systems that are cheap, high-performa...
International audienceIn this session you will learn how to program multi GPU systems or GPU cluster...
International audienceToday, it is possible to associate multiple CPUs and multiple GPUs in a single...