Alistair P. Rendell

Flinders University — Australia

Computer Science · Physical Sciences

38h-index6.8kcitations150works0.02yr avg
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Research Topics

Parallel Computing and Optimization Techniques(49), Advanced Chemical Physics Studies(48), Spectroscopy and Quantum Chemical Studies(20), Advanced Data Storage Technologies(20), Distributed and Parallel Computing Systems(13)

Publications150 total

The General Atomic and Molecular Electronic Structure System (GAMESS): Novel Methods on Novel Architectures
Journal of Chemical Theory and Computation·2023· 63 citedOpen Access
Toward an extreme-scale electronic structure system
The Journal of Chemical Physics·2023· 31 cited
Scaling Correlated Fragment Molecular Orbital Calculations on Summit
2022· 22 cited
Faster Self-Consistent Field (SCF) Calculations on GPU Clusters
Journal of Chemical Theory and Computation·2021· 59 citedOpen Access
Enabling large-scale correlated electronic structure calculations
2021· 17 cited
High-Performance, Graphics Processing Unit-Accelerated Fock Build Algorithm
Journal of Chemical Theory and Computation·2020· 55 cited
Scaling the Hartree-Fock Matrix Build on Summit
2020· 31 cited
Novel Computer Architectures and Quantum Chemistry
The Journal of Physical Chemistry A·2020· 53 cited
Recent developments in the general atomic and molecular electronic structure system
The Journal of Chemical Physics·2020· 1.4k citedOpen Access
Development and Application of a Hybrid Programming Environment on an ARM/DSP System for High Performance Computing
2018· 3 cited
Performance and Energy Analysis of Scientific Workloads Executing on LPSoCs
Lecture notes in computer science·2018· 2 cited
Embedded Accelerators for Scientific High-Performance Computing: An Energy Study of OpenCL Gaussian Elimination Workloads
2017· 1 cited
Split Wisely: When Work Partitioning is Energy-Optimal on Heterogeneous Hardware
2016· 3 cited
CompAdaGrad: A Compressed, Complementary, Computationally-Efficient\n Adaptive Gradient Method
arXiv (Cornell University)·2016· 1 citedOpen Access
CompAdaGrad: A Compressed, Complementary, Computationally-Efficient Adaptive Gradient Method
arXiv (Cornell University)·2016· 1 citedOpen Access
Energy-Efficient Computational Chemistry: Comparison of x86 and ARM Systems
Journal of Chemical Theory and Computation·2015· 27 cited
Programming the Adapteva Epiphany 64-core network-on-chip coprocessor
The International Journal of High Performance Computing Applications·2015· 10 cited
Full-wave nonlinear ultrasound simulation on distributed clusters with applications in high-intensity focused ultrasound
The International Journal of High Performance Computing Applications·2015· 68 cited
Programming the Adapteva Epiphany 64-core Network-on-chip Coprocessor
arXiv (Cornell University)·2014Open Access
Resolutions of the Coulomb operator: VIII. Parallel implementation using the modern programming language X10
Journal of Computational Chemistry·2014· 3 cited
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Frequent Co-authors

Timothy J. Lee(17), Giuseppe M. J. Barca(7), David Poole(7), Mark S. Gordon(6), Peter R. Taylor(5), Jorge L. Gálvez Vallejo(4), Bryce M. Westheimer(4), George B. Bacskay(4), Noel S. Hush(4), Gaurav Mitra(4), Melisa Alkan(4), Colleen Bertoni(3), Sarom S. Leang(3), Laura Carrington(2), Dipayan Datta(2), Emilie B. Guidez(2), Taylor Harville(2), Joani Mato(2), Vladimir Mironov(2), Buu Q. Pham(2)