Parallel performance results for the OpenMOC neutron transport code on multicore platforms

Parallel performance results for the OpenMOC neutron transport code on multicore platforms

The shift towards multi-core architectures has ushered in a new era of shared memory parallelism for scientific applications. This transition has introduced challenges for the nuclear engineering community as it seeks to design high-fidelity full-core reactor physics simulation tools. This paper describes the parallel transport sweep algorithm in the OpenMOC method of characteristics (MOC) neut...

Parallel Stochastic Estimation on Multicore Platforms

Parallelization of Neutron Transport Code ATES3 on BARC’s Parallel System

A Neutron Transport Code ATES3 (Anisotropic Transport Equation Solver in 3D), which was developed at BARC for the deterministic solution of 3D steady-state neutron transport problems, has been parallelized using Message Passing Parallel Programming model on BARC’s ANUPAM Parallel Supercomputer. The most time consuming step in the code ATES3, which is transport sweep, was made parallel using thr...

Parallel Data List Processing on Multicore-GPU Platforms

Multicore-GPU platforms are now common and affordable, yet capitalising on their parallel processing capability is not straightforward. Existing sequential and parallel software must be tuned, or designed anew, to efficiently capitalise on these platforms. This paper presents the design of parallel data list processing in multicore-GPU platforms, wherein application data is organised into vario...

Studies on Performance Aspects of Scheduling Algorithms on Multicore Platforms

The theory of scheduling has expanded rapidly during the past years. As multi-core architectures begin to emerge, operating system issues are to be considered for best use of multi-core processes. Due to the architectural differences in the state of art multi-core processors such as shared caches, memory controllers etc., it becomes the responsibility of the operating system to make use of inte...