14 citations · 46 across the 9 of their papers we have counts for
15 papers
Strong Scaling of OpenACC enabled Nek5000 on several GPU based HPC systems
Jonathan Vincent, Jing Gong, Martin Karp +11
We present new results on the strong parallel scaling for the OpenACC-accelerated implementation of the high-order spectral element fluid dynamics solver Nek5000. The test case con…
Higgs Boson Classification: Brain-inspired BCPNN Learning with StreamBrain
Martin Svedin, Artur Podobas, Steven W. D. Chien +1
One of the most promising approaches for data analysis and exploration of large data sets is Machine Learning techniques that are inspired by brain models. Such methods use alterna…
A High-Fidelity Flow Solver for Unstructured Meshes on Field-Programmable Gate Arrays
Martin Karp, Artur Podobas, Tobias Kenter +4
The impending termination of Moore's law motivates the search for new forms of computing to continue the performance scaling we have grown accustomed to. Among the many emerging Po…
Benchmarking the Nvidia GPU Lineage: From Early K80 to Modern A100 with Asynchronous Memory Transfers
Martin Svedin, Steven W. D. Chien, Gibson Chikafa +2
For many, Graphics Processing Units (GPUs) provides a source of reliable computing power. Recently, Nvidia introduced its 9th generation HPC-grade GPUs, the Ampere 100, claiming si…
Neko: A Modern, Portable, and Scalable Framework for High-Fidelity Computational Fluid Dynamics
Niclas Jansson, Martin Karp, Artur Podobas +2
Recent trends and advancement in including more diverse and heterogeneous hardware in High-Performance Computing is challenging software developers in their pursuit for good perfor…
StreamBrain: An HPC Framework for Brain-like Neural Networks on CPUs, GPUs and FPGAs
Artur Podobas, Martin Svedin, Steven W. D. Chien +5
The modern deep learning method based on backpropagation has surged in popularity and has been used in multiple domains and application areas. At the same time, there are other --…