| 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 | 132 | 2013 |
| IRIS: A portable runtime system exploiting multiple heterogeneous programming systems J Kim, S Lee, B Johnston, JS Vetter 2021 IEEE High Performance Extreme Computing Conference (HPEC), 1-8, 2021 | 37 | 2021 |
| OpenCL performance prediction using architecture-independent features B Johnston, G Falzon, J Milthorpe 2018 International Conference on High Performance Computing & Simulation …, 2018 | 16 | 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), 392-403, 2020 | 14 | 2020 |
| 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 | 13 | 2020 |
| Dwarfs on accelerators: Enhancing OpenCL benchmarking for heterogeneous computing architectures B Johnston, J Milthorpe Workshop Proceedings of the 47th International Conference on Parallel …, 2018 | 10 | 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 | 7 | 2017 |
| 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 | 6 | 2018 |
| CHARM-SYCL: New Unified Programming Environment for Multiple Accelerator Types N Fujita, B Johnston, R Kobayashi, K Teranishi, S Lee, T Boku, JS Vetter Proceedings of the SC'23 Workshops of The International Conference on High …, 2023 | 2 | 2023 |
| Characterizing and Predicting Scientific Workloads for Heterogeneous Computing Systems B Johnston PQDT-Global, 2019 | 2 | 2019 |
| 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 | 2 | 2017 |
| CHARM-SYCL & IRIS: A Tool Chain for Performance Portability on Extremely Heterogeneous Systems N Fujita, B Johnston, NR Miniskar, R Kobayashi, MAH Monil, K Teranishi, ... 2024 IEEE 20th International Conference on e-Science (e-Science), 1-10, 2024 | | 2024 |
| IRIS: A Performance-Portable Framework for Cross-Platform Heterogeneous Computing J Kim, S Lee, B Johnston, JS Vetter IEEE Transactions on Parallel and Distributed Systems, 2024 | | 2024 |
| IRIS: Exploring Performance Scaling of the Intelligent Runtime System and its Dynamic Scheduling Policies B Johnston, NR Miniskar, A Young, MAH Monil, S Lee, JS Vetter 2024 IEEE International Parallel and Distributed Processing Symposium …, 2024 | | 2024 |
| 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 Optimizations to Memory Access Pa erns using Architecture-Independent Program A Chilukuri, J Milthorpe, B Johnston | | 2020 |
| Vetter, Jeffrey 45 T Ben-Nun, E Chereshnev, T Deakin, W Elwasif, EM Fomenko, T Gamblin, ... | | |
| P3HPC 2020 B Johnston, J Vetter | | |
| Using Synthetic Benchmarks to Improve OpenCL Prediction Performance T Liu, B Johnston, J Milthorpe | | |
Jeffrey S. VetterOak Ridge National LaboratoryVerified email at acm.org
