Beau Johnston

According to our database, Beau Johnston authored at least 10 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

CHARM-SYCL: New Unified Programming Environment for Multiple Accelerator Types.

Norihisa Fujita, Beau Johnston, Ryohei Kobayashi, Keita Teranishi, Seyong Lee, Taisuke Boku, Jeffrey S. Vetter

Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023

2021

IRIS: A Portable Runtime System Exploiting Multiple Heterogeneous Programming Systems.

Jungwon Kim, Seyong Lee, Beau Johnston, Jeffrey S. Vetter

Proceedings of the 2021 IEEE High Performance Extreme Computing Conference, 2021

2020

Evaluating the Performance and Portability of Contemporary SYCL Implementations.

Beau Johnston, Jeffrey S. Vetter, Josh Milthorpe

Proceedings of the IEEE/ACM International Workshop on Performance, 2020

Characterizing Optimizations to Memory Access Patterns using Architecture-Independent Program Features.

Aditya Chilukuri, Josh Milthorpe, Beau Johnston

Proceedings of the IWOCL '20: International Workshop on OpenCL, 2020

2018

AIWC: OpenCL based Architecture Independent Workload Characterisation.

Beau Johnston, Josh Milthorpe

CoRR, 2018

OpenCL Performance Prediction using Architecture-Independent Features.

Beau Johnston, Gregory Falzon, Josh Milthorpe

Proceedings of the 2018 International Conference on High Performance Computing & Simulation, 2018

Dwarfs on Accelerators: Enhancing OpenCL Benchmarking for Heterogeneous Computing Architectures.

Beau Johnston, Josh Milthorpe

Proceedings of the 47th International Conference on Parallel Processing, 2018

2017

Parallel Huffman Decoding: Presenting a Fast and Scalable Algorithm for Increasingly Multicore Devices.

Beau Johnston, Eric McCreath

Proceedings of the 2017 IEEE International Symposium on Parallel and Distributed Processing with Applications and 2017 IEEE International Conference on Ubiquitous Computing and Communications (ISPA/IUCC), 2017

Embedded Accelerators for Scientific High-Performance Computing: An Energy Study of OpenCL Gaussian Elimination Workloads.

Beau Johnston, Brian Lee, Luke Angove, Alistair P. Rendell

Proceedings of the 46th International Conference on Parallel Processing Workshops, 2017

2013

Use of SIMD Vector Operations to Accelerate Application Code Performance on Low-Powered ARM and Intel Platforms.

Gaurav Mitra, Beau Johnston, Alistair P. Rendell, Eric McCreath, Jun Zhou

Proceedings of the 2013 IEEE International Symposium on Parallel & Distributed Processing, 2013