Cross-Platform OpenCL Code and Performance Portability Investigated with a Climate and Weather Physics Model

Han, Dong; Ghosh, Dibyajyoti; Zafar, Fahad; Zhou, Shujia

doi:10.1109/icppw.2012.19

Cited by 6 publications

(1 citation statement)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A device-specific program, when executed directly on another device, typically cannot achieve good performance [20], [21]. With poor performance portability, the use of multiple heterogeneous devices will not be beneficial but cause performance penalties.…”

Section: Discussion and Future Workmentioning

confidence: 99%

Enabling a Uniform OpenCL Device View for Heterogeneous Platforms

Huang

Xun

et al. 2015

IEICE Trans. Inf. & Syst.

View full text Add to dashboard Cite

SUMMARYAiming to ease the parallel programming for heterogeneous architectures, we propose and implement a high-level OpenCL runtime that conceptually merges multiple heterogeneous hardware devices into one virtual heterogeneous compute device (VHCD). Moreover, automated workload distribution among the devices is based on offline profiling, together with new programming directives that define the deviceindependent data access range per work-group. Therefore, an OpenCL program originally written for a single compute device can, after inserting a small number of programming directives, run efficiently on a platform consisting of heterogeneous compute devices. Performance is ensured by introducing the technique of virtual cache management, which minimizes the amount of host-device data transfer. Our new OpenCL runtime is evaluated by a diverse set of OpenCL benchmarks, demonstrating good performance on various configurations of a heterogeneous system.

show abstract

Section: Discussion and Future Workmentioning

confidence: 99%