Josh Milthorpe

Postdoctoral Fellow
Research School of Computer Science
Australian National University
CSIT building 108, Room N216
Phone: +61 2 6125 4478
Email: josh.milthorpe@anu.edu.au

Research

My research interests lie in high-productivity, high performance scientific programming. Primary interests include parallel programming models, physical simulation and numerical computing.

My PhD work explores novel features of the experimental language X10, developed by IBM as part of their submission to the DARPA HPCS Program. My supervisor is Alistair Rendell.
The goal is to develop scalable data structures and high-level operations for asynchronous partitioned global address space (APGAS) programming of scientific applications.

To motivate and evaluate this work I am developing ANUChem, a suite of computational chemistry applications in X10.

I am also working with Lawrence Murray on high performance Sequential Monte Carlo methods using LibBi, a library for Bayesian inference.

Publications

J. Milthorpe, A.P. Rendell and T. Huber PGAS-FMM: Implementing a distributed fast multipole method using the X10 programming language, Concurrency and Computation: Practice and Experience. 2013 doi:10.1002/cpe.3039

T. Limpanuparb, J. Milthorpe, A.P. Rendell, and P.M.W. Gill (2013). Resolutions of the Coulomb Operator: VII. Evaluation of Long-range Coulomb and Exchange Matrices, Journal of Chemical Theory and Computation. 2013 9 (2) 863-867. doi:10.1021/ct301110y

J. Milthorpe and A.P. Rendell (2012). Efficient update of ghost regions using active messages (preprint), in proceedings of the 19th IEEE International Conference on High Performance Computing (HiPC). doi:10.1109/HiPC.2012.6507484

J. Milthorpe, V. Ganesh, A.P. Rendell, and D. Grove (2011). X10 as a parallel language for scientific computation: practice and experience (preprint), in proceedings of the 25th IEEE International Parallel & Distributed Processing Symposium (ISBN 978-0-7695-4385-7), 1080-1088. doi:10.1109/IPDPS.2011.103

A.P. Rendell, B. Clarke, P. Janes, J. Milthorpe, and R. Yang (2007). Interval Arithmetic and Computational Science: Rounding and Truncation Errors in N-Body Methods, in proceedings of the International Conference on Computational Science and its Applications, IEEE Conference Proceedings, 457-466. doi:10.1109/ICCSA.2007.74

A.P. Rendell, B. Clarke and J. Milthorpe (2006). Interval Arithmetic and Computational Science: Performance Considerations, in proceedings of the International Conference on Computational Science (1) 2006: 218-225

J. Milthorpe and A.P. Rendell (2005). Learning to Live with Errors: A Fresh Look at Floating-Point Computation, Proceedings of the Third Australian Undergraduate Computing Conference, 34-41 (ISBN 0-9757173-1-6)

J. Milthorpe (2005). Using interval analysis to bound numerical errors in scientific computing, Honours thesis, Australian National University.