8 citations · 23 across the 11 of their papers we have counts for
13 papers
EZ: An Efficient, Charge Conserving Current Deposition Algorithm for Electromagnetic Particle-In-Cell Simulations
Klaus Steiniger, Rene Widera, Sergei Bastrakov +13
We present EZ, a novel current deposition algorithm for particle-in-cell (PIC) simulations. EZ calculates the current density on the electromagnetic grid due to macro-particle moti…
Application Experiences on a GPU-Accelerated Arm-based HPC Testbed
Wael Elwasif, William Godoy, Nick Hagerty +28
This paper assesses and reports the experience of ten teams working to port,validate, and benchmark several High Performance Computing applications on a novel GPU-accelerated Arm t…
Analysis of Validating and Verifying OpenACC Compilers 3.0 and Above
A. M. Jarmusch, A. Liu, C. Munley +4
OpenACC is a high-level directive-based parallel programming model that can manage the sophistication of heterogeneity in architectures and abstract it from the users. The portabil…
ECP SOLLVE: Validation and Verification Testsuite Status Update and Compiler Insight for OpenMP
Thomas Huber, Swaroop Pophale, Nolan Baker +9
The OpenMP language continues to evolve with every new specification release, as does the need to validate and verify the new features that have been introduced. With the release o…
First Experiences in Performance Benchmarking with the New SPEChpc 2021 Suites
Holger Brunst, Sunita Chandrasekaran, Florina Ciorba +7
Modern HPC systems are built with innovative system architectures and novel programming models to further push the speed limit of computing. The increased complexity poses challeng…
Metrics and Design of an Instruction Roofline Model for AMD GPUs
Matthew Leinhauser, René Widera, Sergei Bastrakov +3
Due to the recent announcement of the Frontier supercomputer, many scientific application developers are working to make their applications compatible with AMD architectures (CPU-G…
OpenACC Acceleration of an Agent-Based Biological Simulation Framework
Matt Stack, Paul Macklin, Robert Searles +1
Computational biology has increasingly turned to agent-based modeling to explore complex biological systems. Biological diffusion (diffusion, decay, secretion, and uptake) is a key…
Challenges Porting a C++ Template-Metaprogramming Abstraction Layer to Directive-based Offloading
Jeffrey Kelling, Sergei Bastrakov, Alexander Debus +10
HPC systems employ a growing variety of compute accelerators with different architectures and from different vendors. Large scientific applications are required to run efficiently…
Refactoring the MPS/University of Chicago Radiative MHD(MURaM) Model for GPU/CPU Performance Portability Using OpenACC Directives
Eric Wright, Damien Przybylski, Matthias Rempel +5
The MURaM (Max Planck University of Chicago Radiative MHD) code is a solar atmosphere radiative MHD model that has been broadly applied to solar phenomena ranging from quiet to act…
Performance Assessment of OpenMP Compilers Targeting NVIDIA V100 GPUs
Joshua Hoke Davis, Christopher Daley, Swaroop Pophale +3
Heterogeneous systems are becoming increasingly prevalent. In order to exploit the rich compute resources of such systems, robust programming models are needed for application deve…
Assessing Performance Implications of Deep Copy Operations via Microbenchmarking
Millad Ghane, Sunita Chandrasekaran, Margaret S. Cheung
As scientific frameworks become sophisticated, so do their data structures. Current data structures are no longer simple in design and they have been progressively complicated. The…
Studying the Impact of Power Capping on MapReduce-based, Data-intensive Mini-applications on Intel KNL and KNM Architectures
Joshua Hoke Davis, Tao Gao, Sunita Chandresekaran +1
In this poster, we quantitatively measure the impacts of data movement on performance in MapReduce-based applications when executed on HPC systems. We leverage the PAPI 'powercap'…
Power and Energy-efficiency Roofline Model for GPUs
Millad Ghane, Jeff Larkin, Larry Shi +2
Energy consumption has been a great deal of concern in recent years and developers need to take energy-efficiency into account when they design algorithms. Their design needs to be…