At the threshold to exascale computing, limitations of the MPI programming model become more and more pronounced. HPC programmers have to design codes that can run and scale on systems with hundreds of thousands of cores. Setting up accordingly many communication buffers, point-to-point communication links, and using bulk-synchronous communication phases is contradicting scalability in these dimensions. Moreover, the reliability of upcoming systems will worsen
The global address space (GAS) programming model provides important potential productivity advantage...
Modern HPC platforms are using multiple CPU, GPUs and high-performance interconnects per node. Unfor...
One of the main hurdles of PGAS approaches is the dominance of MPI, which as a de-facto standard app...
One of the main hurdles of partitioned global address space (PGAS) approaches is the dominance of me...
Development of scalable High-Performance Computing (HPC) applications is already a challenging task ...
The Global Address Space Programming Interface (GPI) is the PGAS-API developed at the Fraunhofer ITW...
Supercomputing applications rely on strong scaling to achieve faster results on a larger number of p...
EPiGRAM is a European Commission funded project to improve existing parallel programming models to r...
In high performance computing (HPC) applications, scientific or engineering problems are solved in ...
The complexity of petascale and exascale machines makes it increasingly difficult to develop applica...
Partitioned Global Address Space (PGAS) models, typified by such languages as Unified Parallel C (UP...
The Message Passing Interface (MPI) is widely used to write sophisticated parallel applications rang...
The Message Passing Interface (MPI) is one of the most portable high-performance computing (HPC) pro...
International audienceExtreme scale parallel computing systems will have tens of thousands of option...
Scalability to a large number of processes is one of the weaknesses of current MPI implementations. ...
The global address space (GAS) programming model provides important potential productivity advantage...
Modern HPC platforms are using multiple CPU, GPUs and high-performance interconnects per node. Unfor...
One of the main hurdles of PGAS approaches is the dominance of MPI, which as a de-facto standard app...
One of the main hurdles of partitioned global address space (PGAS) approaches is the dominance of me...
Development of scalable High-Performance Computing (HPC) applications is already a challenging task ...
The Global Address Space Programming Interface (GPI) is the PGAS-API developed at the Fraunhofer ITW...
Supercomputing applications rely on strong scaling to achieve faster results on a larger number of p...
EPiGRAM is a European Commission funded project to improve existing parallel programming models to r...
In high performance computing (HPC) applications, scientific or engineering problems are solved in ...
The complexity of petascale and exascale machines makes it increasingly difficult to develop applica...
Partitioned Global Address Space (PGAS) models, typified by such languages as Unified Parallel C (UP...
The Message Passing Interface (MPI) is widely used to write sophisticated parallel applications rang...
The Message Passing Interface (MPI) is one of the most portable high-performance computing (HPC) pro...
International audienceExtreme scale parallel computing systems will have tens of thousands of option...
Scalability to a large number of processes is one of the weaknesses of current MPI implementations. ...
The global address space (GAS) programming model provides important potential productivity advantage...
Modern HPC platforms are using multiple CPU, GPUs and high-performance interconnects per node. Unfor...
One of the main hurdles of PGAS approaches is the dominance of MPI, which as a de-facto standard app...