Titlebook: Sustained Simulation Performance 2014; Proceedings of the j Michael M. Resch,Wolfgang Bez,Nisarg Patel Conference proceedings 2015 Springer

geometrician

EXTOLL and Data Movements in Heterogeneous Computing Environmentscessing units like CPUs, GPUs and others. The vast increase of parallelism and heterogeneity together with the advent of Big Data leads to systems in which communication is more expensive than computation, both in terms of energy and time. This work reviews EXTOLL as a new contender in the HPC inter

血统

Requirements for Modern Network Infrastructures behavior of users it is necessary to adjust the network services and management. This requires more sophisticated traffic engineering. This paper reviews the current state of the art and shows the application of new strategies to a mid-size German university. Practical needs and theoretical concept

obsession

开始从未

tackle

Petascale Computations for Large-Scale Atomic and Molecular Collisionslve the Schrödinger or Dirac equation for the appropriate collision problem using the R-matrix or R-matrix with pseudo-states approach. We briefly outline the parallel methodology used and implemented for the current suite of Breit-Pauli and DARC codes. Various examples are shown of our theoretical

murmur

一起平行

Conference proceedings 2015are and software development in general and the future of high-performance systems and heterogeneous architectures in particular. The application-related contributions cover computational fluid dynamics, material science, medical applications and climate research; innovative fields such as coupled m

BUDGE

deviate

SX-ACE, the Brand-New Vector Supercomputer for Higher Sustained Performance IIscuss the sustained performance of the SX-ACE for several benchmark codes. The evaluation results demonstrate significantly improved sustained performance and power efficiency of the SX-ACE system in comparison with the SX-9.

非实体

Performance Evaluation of an OpenMP Parallelization by Using Automatic Parallelization Information the optimization can be migrated to other systems through the OpenMP parallelization, which results in high performance portability. The experimental results indicate that the OpenMP codes parallelized by the proposed method can achieve a comparable or even better performance than the automatically parallelized codes by various compilers.