Beau Johnston
Title
Cited by
Cited by
Year
Use of SIMD vector operations to accelerate application code performance on low-powered ARM and Intel platforms
G Mitra, B Johnston, AP Rendell, E McCreath, J Zhou
2013 IEEE International Symposium on Parallel & Distributed Processing …, 2013
792013
OpenCL performance prediction using architecture-independent features
B Johnston, G Falzon, J Milthorpe
2018 International Conference on High Performance Computing & Simulation …, 2018
82018
Dwarfs on accelerators: Enhancing OpenCL benchmarking for heterogeneous computing architectures
B Johnston, J Milthorpe
Proceedings of the 47th international conference on parallel processing …, 2018
62018
Camera Trapping Technology and Related Advances: into the New Millennium
PD Meek, G Ballard, G Falzon, J Williamson, H Milne, R Farrell, J Stover, ...
Australian Zoologist 40 (3), 392-403, 2020
32020
AIWC: OpenCL-Based Architecture-Independent Workload Characterization
B Johnston, J Milthorpe
2018 IEEE/ACM 5th Workshop on the LLVM Compiler Infrastructure in HPC (LLVM …, 2018
32018
Parallel huffman decoding: Presenting a fast and scalable algorithm for increasingly multicore devices
B Johnston, E McCreath
2017 IEEE International Symposium on Parallel and Distributed Processing …, 2017
12017
Embedded Accelerators for Scientific High-Performance Computing: An Energy Study of OpenCL Gaussian Elimination Workloads
B Johnston, B Lee, L Angove, A Rendell
2017 46th International Conference on Parallel Processing Workshops (ICPPW …, 2017
12017
Characterizing Optimizations to Memory Access Patterns using Architecture-Independent Program Features
A Chilukuri, J Milthorpe, B Johnston
Proceedings of the International Workshop on OpenCL, 1-11, 2020
2020
Characterizing and Predicting Scientific Workloads for Heterogeneous Computing Systems
B Johnston
The Australian National University, 2019
2019
Using Synthetic Benchmarks to Improve OpenCL Prediction Performance
T Liu, B Johnston, J Milthorpe
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Articles 1–10