Josh Milthorpe
Cited by
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Model Accuracy and Runtime Tradeoff in Distributed Deep Learning
S Gupta, W Zhang, J Milthorpe
arXiv preprint arXiv:1509.04210, 2015
X10 as a parallel language for scientific computation: Practice and experience
J Milthorpe, V Ganesh, AP Rendell, D Grove
2011 IEEE International Parallel & Distributed Processing Symposium, 1080-1088, 2011
Supporting Array Programming in X10
D Grove, J Milthorpe, O Tardieu
ACM SIGPLAN International Workshop on Libraries, Languages and Compilers for …, 2014
Resilient X10 over MPI User Level Failure Mitigation
SS Hamouda, B Herta, J Milthorpe, D Grove, O Tardieu
X10 Workshop at PLDI, 2016
PGAS-FMM: Implementing a distributed fast multipole method using the X10 programming language
J Milthorpe, AP Rendell, T Huber
Concurrency and Computation: Practice and Experience, 2013
OpenCL performance prediction using architecture-independent features
B Johnston, G Falzon, J Milthorpe
International Conference on High Performance Computing & Simulation (HPCS …, 2018
Exploring the APGAS Programming Model using the LULESH Proxy Application
J Milthorpe, D Grove, B Herta, O Tardieu …, 2015
Resolutions of the Coulomb operator: VII. Evaluation of long-range Coulomb and exchange matrices
T Limpanuparb, J Milthorpe, AP Rendell, PMW Gill
Journal of chemical theory and computation 9 (2), 863-867, 2013
Failure recovery in resilient X10
D Grove, SS Hamouda, B Herta, A Iyengar, K Kawachiya, J Milthorpe, ...
ACM Transactions on Programming Languages and Systems (TOPLAS) 41 (3), 15, 2019
Dwarfs on accelerators: Enhancing OpenCL benchmarking for heterogeneous computing architectures
B Johnston, J Milthorpe
Proceedings of the 47th International Conference on Parallel Processing …, 2018
A resilient framework for iterative linear algebra applications in X10
SS Hamouda, J Milthorpe, PE Strazdins, V Saraswat
IEEE International Parallel and Distributed Processing Symposium Workshop …, 2015
X10 for high-performance scientific computing
JJ Milthorpe
The Australian National University, 2015
Resolutions of the Coulomb operator: VIII. Parallel implementation using the modern programming language X10
T Limpanuparb, J Milthorpe, AP Rendell
Journal of Computational Chemistry 35 (28), 2056-2069, 2014
Associated legendre polynomials and spherical harmonics computation for chemistry applications
T Limpanuparb, J Milthorpe
arXiv preprint arXiv:1410.1748, 2014
Interval arithmetic and computational science: Rounding and truncation errors in n-body methods
AP Rendell, B Clarke, P Janes, J Milthorpe, R Yang
2007 International Conference on Computational Science and its Applications …, 2007
Using Interval Analysis to Bound Numerical Errors in Scientific Computing
J Milthorpe
Honours thesis, Department of Computer Science, Australian National University, 2005
AIWC: OpenCL-Based Architecture-Independent Workload Characterization
B Johnston, J Milthorpe
Workshop on the LLVM Compiler Infrastructure in HPC (LLVM-HPC), 81-91, 2018
Performance and energy analysis of scientific workloads executing on LPSoCs
A Varghese, J Milthorpe, AP Rendell
International Conference on Parallel Processing and Applied Mathematics, 113-122, 2017
Distributed programming in Scala with APGAS
P Suter, O Tardieu, J Milthorpe
Proceedings of the 6th ACM SIGPLAN Symposium on Scala, 13-17, 2015
Efficient update of ghost regions using active messages
J Milthorpe, AP Rendell
19th IEEE International Conference on High Performance Computing (HiPC 2012), 2012
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