10 citations · 35 across the 11 of their papers we have counts for
11 papers
In-Situ Techniques on GPU-Accelerated Data-Intensive Applications
Yi Ju, Mingshuai Li, Adalberto Perez +5
The computational power of High-Performance Computing (HPC) systems is constantly increasing, however, their input/output (IO) performance grows relatively slowly, and their storag…
ParaLog: Consistent Host-side Logging for Parallel Checkpoints
Steven W. D. Chien, Kento Sato, Artur Podobas +3
Output-intensive scientific applications are highly sensitive to low storage throughput. While existing scientific application stacks are optimized for traditional High-Performance…
Large-Scale Direct Numerical Simulations of Turbulence Using GPUs and Modern Fortran
Martin Karp, Daniele Massaro, Niclas Jansson +4
We present our approach to making direct numerical simulations of turbulence with applications in sustainable shipping. We use modern Fortran and the spectral element method to lev…
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…
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…
Accelerating Radiation Therapy Dose Calculation with Nvidia GPUs
Felix Liu, Niclas Jansson, Artur Podobas +2
Radiation Treatment Planning (RTP) is the process of planning the appropriate external beam radiotherapy to combat cancer in human patients. RTP is a complex and compute-intensive…
High-Performance Spectral Element Methods on Field-Programmable Gate Arrays
Martin Karp, Artur Podobas, Niclas Jansson +4
Improvements in computer systems have historically relied on two well-known observations: Moore's law and Dennard's scaling. Today, both these observations are ending, forcing comp…
Optimization of Tensor-product Operations in Nekbone on GPUs
Martin Karp, Niclas Jansson, Artur Podobas +2
In the CFD solver Nek5000, the computation is dominated by the evaluation of small tensor operations. Nekbone is a proxy app for Nek5000 and has previously been ported to GPUs with…
CUBE: A scalable framework for large-scale industrial simulations
Niclas Jansson, Rahul Bale, Keiji Onishi +1
Writing high performance solvers for engineering applications is a delicate task. These codes are often developed on an application to application basis, highly optimized to solve…