High-performance computing systems are growing toward hundreds-of-thousands to million-node machines, utilizing the computing power of billions of cores. Running parallel applications on such large machines efficiently will require optimized runtime environments that are scalable and resilient. Multi- and many-core chip architectures in large-scale supercomputers pose several new challenges to designers of operating systems and runtime environments. ParalleX is a general-purpose parallel-execution model aiming to overcome the limitations imposed by the current hardware and the way we write applications today. High-Performance ParalleX (HPX) is an experimental runtime system for ParalleX. The majority of scientific and commercial application...
The significant increase in complexity of Exascale platforms due to energy-constrained, billion-way ...
International audienceHigh-Performance Computing (HPC) is currently facing significant challenges. T...
Most HPC systems are clusters of shared memory nodes. To use such systems efficiently both memory co...
High performance computing (HPC) is experiencing a phase change with the challenges of programming a...
implementation of ParalleX, a new model of computation targeting future generation of High Performan...
With the advent of modern computer architectures characterized by -- amongst other things -- many-co...
Programming tools and application libraries are the second level of the software stack in HPC system...
The purpose of this report is to investigate parallel I/O on HPCx, to compare its performance with s...
MPI is the de-facto standard for inter-node communication on HPC systems, and has been for the past ...
The complexity of petascale and exascale machines makes it increasingly difficult to develop applica...
Modern HPC platforms are using multiple CPU, GPUs and high-performance interconnects per node. Unfor...
Modern hardware architectures are increasingly parallel, through both massively multicore CPUs and a...
Overview Most HPC systems are clusters of shared memory nodes. To use such systems efficiently both...
The Message Passing Interface (MPI) is widely used to write sophisticated parallel applications rang...
As HPC hardware continues to evolve and diversify and workloads become more dynamic and complex, app...
The significant increase in complexity of Exascale platforms due to energy-constrained, billion-way ...
International audienceHigh-Performance Computing (HPC) is currently facing significant challenges. T...
Most HPC systems are clusters of shared memory nodes. To use such systems efficiently both memory co...
High performance computing (HPC) is experiencing a phase change with the challenges of programming a...
implementation of ParalleX, a new model of computation targeting future generation of High Performan...
With the advent of modern computer architectures characterized by -- amongst other things -- many-co...
Programming tools and application libraries are the second level of the software stack in HPC system...
The purpose of this report is to investigate parallel I/O on HPCx, to compare its performance with s...
MPI is the de-facto standard for inter-node communication on HPC systems, and has been for the past ...
The complexity of petascale and exascale machines makes it increasingly difficult to develop applica...
Modern HPC platforms are using multiple CPU, GPUs and high-performance interconnects per node. Unfor...
Modern hardware architectures are increasingly parallel, through both massively multicore CPUs and a...
Overview Most HPC systems are clusters of shared memory nodes. To use such systems efficiently both...
The Message Passing Interface (MPI) is widely used to write sophisticated parallel applications rang...
As HPC hardware continues to evolve and diversify and workloads become more dynamic and complex, app...
The significant increase in complexity of Exascale platforms due to energy-constrained, billion-way ...
International audienceHigh-Performance Computing (HPC) is currently facing significant challenges. T...
Most HPC systems are clusters of shared memory nodes. To use such systems efficiently both memory co...