Wayne Gaudin

Nvidia (United States) — United States

Computer Science · Physical Sciences

13h-index611citations26works0.02yr avg
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Research Topics

Parallel Computing and Optimization Techniques(20), Advanced Data Storage Technologies(15), Distributed and Parallel Computing Systems(10), Cloud Computing and Resource Management(3), Computational Fluid Dynamics and Aerodynamics(3)

Publications26 total

A Baseline for Global Weather and Climate Simulations at 1 km Resolution
Journal of Advances in Modeling Earth Systems·2020· 153 citedOpen Access
TeaLeaf: A Mini-Application to Enable Design-Space Explorations for Iterative Sparse Linear Solvers
2017· 20 cited
Assessing the performance portability of modern parallel programming models using TeaLeaf
Concurrency and Computation Practice and Experience·2017· 29 cited
The MEGA-STREAM benchmark on Intel Xeon Phi processors (Knights Landing)
Bristol Research (University of Bristol)·2017Open Access
The detailed development of an OpenACC application
Elsevier eBooks·2017
On the Mitigation of Cache Hostile Memory Access Patterns on Many-Core CPU Architectures
Lecture notes in computer science·2017· 7 cited
An improved parallelism scheme for deterministic discrete ordinates transport
The International Journal of High Performance Computing Applications·2016· 9 citedOpen Access
Evaluating OpenMP 4.0's Effectiveness as a Heterogeneous Parallel Programming Model
2016· 37 cited
An Evaluation of Emerging Many-Core Parallel Programming Models
2016· 51 citedOpen Access
Many-Core Acceleration of a Discrete Ordinates Transport Mini-App at Extreme Scale
Lecture notes in computer science·2016· 15 citedOpen Access
Pragmatic Performance Portability with OpenMP 4.x
Lecture notes in computer science·2016· 20 cited
A Performance Evaluation of Kokkos & RAJA using the TeaLeaf Mini-App
Conference on High Performance Computing (Supercomputing)·2015· 5 cited
TeaLeaf: A New Mini-Application for Many-Core Aware, Iterative Sparse Linear Solvers
International Parallel and Distributed Processing Symposium·2015· 2 cited
Expressing Parallelism on Many-Core for Deterministic Discrete Ordinates Transport
2015· 4 cited
Resident Block-Structured Adaptive Mesh Refinement on Thousands of Graphics Processing Units
2015· 20 cited
Performance Analysis of a High-Level Abstractions-Based Hydrocode on Future Computing Systems
Lecture notes in computer science·2015· 16 cited
Feasibility Study of Porting a Particle Transport Code to FPGA
Lecture notes in computer science·2015· 1 cited
Parallel Block Structured Adaptive Mesh Refinement on Graphics Processing Units
2014· 2 citedOpen Access
Achieving Portability and Performance through OpenACC
2014· 29 cited
Experiences at scale with PGAS versions of a Hydrodynamics application
2014· 11 cited
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Frequent Co-authors

Simon McIntosh‐Smith(14), David Beckingsale(11), J. A. Herdman(10), Stephen A. Jarvis(9), Andrew C. Mallinson(8), Tom Deakin(6), Matt Martineau(5), O. F. J. Perks(4), M. Boulton(2), John Levesque(2), Matthew Martineau(2), Paul Garrett(2), R.P. Smedley‐Stevenson(2), Michael E. Boulton(2), David Turland(2), Nils Wedi(1), Inna Polichtchouk(1), Peter Dueben(1), Valentine Anantharaj(1), Péter Bauer(1)