The introduction and rise of General Purpose Graphics Computing has significantly impacted parallel and high-performance computing. It has introduced challenges when it comes to distributed computing with GPUs. Current solutions target specifics: specific hardware, specific network topology, a specific level of processing. Those restrictions on GPU computing limit scientists and researchers in various ways. The goal of OpenCUDA+MPI project is to develop a framework that allows researchers and scientists to write a general algorithm without the overhead of worrying about the specifics of the hardware and the cluster it will run against while taking full advantage of parallel and distributed computing on GPUs. As work toward the solution cont...
International audienceHeterogeneous supercomputers are now considered the most valuable solution to ...
International audienceHeterogeneous supercomputers are now considered the most valuable solution to ...
Graphics Processing Units (GPU) have been widely adopted to accelerate the execution of HPC workload...
We investigate multi-level parallelism on GPU clusters with MPI-CUDA and hybrid MPI-OpenMP-CUDA para...
Modern graphics processing units (GPUs) with many-core architectures have emerged as general-purpose...
Modern graphics processing units (GPUs) with many-core architectures have emerged as general-purpose...
Modern graphics processing units (GPUs) with many-core architectures have emerged as general-purpose...
Modern graphics processing units (GPUs) with many-core architectures have emerged as general-purpose...
Modern HPC platforms are using multiple CPU, GPUs and high-performance interconnects per node. Unfor...
Abstract—CUDA programmed GPUs are rapidly becoming a major choice in high performance com-puting and...
Application programming for modern heterogeneous systems which comprise multi-core CPUs and multiple...
Supervisor: Dr. Michela Becchi.Includes vita.Over the last decade, many-core Graphics Processing Uni...
High performance computing using graphics processing units (GPUs) is gaining popularity in the scien...
Graphs are de facto data structures for many applications, and efficient graph processing is a must ...
Graphics Processing Units (GPU) have been widely adopted to accelerate the execution of HPC workload...
International audienceHeterogeneous supercomputers are now considered the most valuable solution to ...
International audienceHeterogeneous supercomputers are now considered the most valuable solution to ...
Graphics Processing Units (GPU) have been widely adopted to accelerate the execution of HPC workload...
We investigate multi-level parallelism on GPU clusters with MPI-CUDA and hybrid MPI-OpenMP-CUDA para...
Modern graphics processing units (GPUs) with many-core architectures have emerged as general-purpose...
Modern graphics processing units (GPUs) with many-core architectures have emerged as general-purpose...
Modern graphics processing units (GPUs) with many-core architectures have emerged as general-purpose...
Modern graphics processing units (GPUs) with many-core architectures have emerged as general-purpose...
Modern HPC platforms are using multiple CPU, GPUs and high-performance interconnects per node. Unfor...
Abstract—CUDA programmed GPUs are rapidly becoming a major choice in high performance com-puting and...
Application programming for modern heterogeneous systems which comprise multi-core CPUs and multiple...
Supervisor: Dr. Michela Becchi.Includes vita.Over the last decade, many-core Graphics Processing Uni...
High performance computing using graphics processing units (GPUs) is gaining popularity in the scien...
Graphs are de facto data structures for many applications, and efficient graph processing is a must ...
Graphics Processing Units (GPU) have been widely adopted to accelerate the execution of HPC workload...
International audienceHeterogeneous supercomputers are now considered the most valuable solution to ...
International audienceHeterogeneous supercomputers are now considered the most valuable solution to ...
Graphics Processing Units (GPU) have been widely adopted to accelerate the execution of HPC workload...