Increasing heterogeneity among HPC platforms requires applications to be frequently ported and tuned, adding burden to developers. Fast evolution of hardware mandates adaptation of algorithms and data structures to get higher performance, while application complexity constantly grows accordingly. Ensuring portability while preserving high performance at large scale along with minimal changes to an already existing application is an actual challenge. Separation of concerns to decouple performance from semantics in simulation codes are typically required. We describe a specialized programming framework for N-Body simulations that provides such separation. It allows one to develop computation kernels in the form of sequential-looking functions...
Simulations on HPC systems have become an indispensable key technology in modern science and enginee...
The landscape of High Performance Computing (HPC) system architectures keeps expanding with new tech...
With the general availability of PetaFLOP clusters and the advent of heterogeneous machines equipped...
N-Body simulations are a common method of modeling the interacting behavior between objects from the...
Abstract—N-body simulations are computation-intensive ap-plications that calculate the motion of a l...
N-Body simulations are a common method of modeling the interacting behavior between objects from the...
N-Body simulation simulates the evolution of a system that is composed of N particles, where each el...
N-Body simulation simulates the evolution of a system that is composed of N particles, where each el...
N-Body simulation simulates the evolution of a system that is composed of N particles, where each el...
N-Body simulation simulates the evolution of a system that is composed of N particles, where each el...
The complexity of High Performance Computing (HPC) systems is increasing in the number of components...
High Performance Fortran (HPF) provides a high-level model for expressing parallel programs. However...
The complexity of High Performance Computing (HPC) systems is increasing in the number of components...
Programming models bridge the gap between the underlying hardware architecture and the supporting la...
Algorithms designed to efficiently solve this classical problem of physics fit very well on GPU hard...
Simulations on HPC systems have become an indispensable key technology in modern science and enginee...
The landscape of High Performance Computing (HPC) system architectures keeps expanding with new tech...
With the general availability of PetaFLOP clusters and the advent of heterogeneous machines equipped...
N-Body simulations are a common method of modeling the interacting behavior between objects from the...
Abstract—N-body simulations are computation-intensive ap-plications that calculate the motion of a l...
N-Body simulations are a common method of modeling the interacting behavior between objects from the...
N-Body simulation simulates the evolution of a system that is composed of N particles, where each el...
N-Body simulation simulates the evolution of a system that is composed of N particles, where each el...
N-Body simulation simulates the evolution of a system that is composed of N particles, where each el...
N-Body simulation simulates the evolution of a system that is composed of N particles, where each el...
The complexity of High Performance Computing (HPC) systems is increasing in the number of components...
High Performance Fortran (HPF) provides a high-level model for expressing parallel programs. However...
The complexity of High Performance Computing (HPC) systems is increasing in the number of components...
Programming models bridge the gap between the underlying hardware architecture and the supporting la...
Algorithms designed to efficiently solve this classical problem of physics fit very well on GPU hard...
Simulations on HPC systems have become an indispensable key technology in modern science and enginee...
The landscape of High Performance Computing (HPC) system architectures keeps expanding with new tech...
With the general availability of PetaFLOP clusters and the advent of heterogeneous machines equipped...