Beau Johnston
Cited by
Cited by
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
OpenCL performance prediction using architecture-independent features
B Johnston, G Falzon, J Milthorpe
2018 International Conference on High Performance Computing & Simulation …, 2018
Dwarfs on accelerators: enhancing OpenCL benchmarking for heterogeneous computing architectures
B Johnston, J Milthorpe
Proceedings of the 47th international conference on parallel processing …, 2018
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, 2020
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
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
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
Characterizing and Predicting Scientific Workloads for Heterogeneous Computing Systems
B Johnston
The Australian National University, 2019
Evaluating the Performance and Portability of Contemporary SYCL Implementations
B Johnston, JS Vetter, J Milthorpe
2020 IEEE/ACM International Workshop on Performance, Portability and …, 2020
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
P3HPC 2020
B Johnston, J Vetter
Using Synthetic Benchmarks to Improve OpenCL Prediction Performance
T Liu, B Johnston, J Milthorpe
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