Artur Podobas | DeepAI

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23 publications
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∙ 08/01/2023

Leveraging MLIR for Loop Vectorization and GPU Porting of FFT Libraries

FFTc is a Domain-Specific Language (DSL) for designing and generating Fa...

0 Yifei He, et al. ∙

∙ 03/02/2023

Q2Logic: An Coarse-Grained Architecture targeting Schrödinger Quantum Circuit Simulations

Quantum computing is emerging as an important (but radical) technology t...

0 Artur Podobas, et al. ∙

∙ 08/29/2022

Breaking Down the Parallel Performance of GROMACS, a High-Performance Molecular Dynamics Software

GROMACS is one of the most widely used HPC software packages using the M...

0 Måns I. Andersson, et al. ∙

∙ 07/14/2022

FFTc: An MLIR Dialect for Developing HPC Fast Fourier Transform Libraries

Discrete Fourier Transform (DFT) libraries are one of the most critical ...

9 Yifei He, et al. ∙

∙ 06/28/2022

Workflows to driving high-performance interactive supercomputing for urgent decision making

Interactive urgent computing is a small but growing user of supercomputi...

0 Nick Brown, et al. ∙

∙ 11/30/2021

A Review on Parallel Virtual Screening Softwares for High Performance Computers

Drug discovery is the most expensive, time demanding and challenging pro...

0 Natarajan Arul Murugan, et al. ∙

∙ 11/10/2021

Utilising urgent computing to tackle the spread of mosquito-borne diseases

It is estimated that around 80% of the world's population live in areas ...

0 Nick Brown, et al. ∙

∙ 09/08/2021

Strong Scaling of OpenACC enabled Nek5000 on several GPU based HPC systems

We present new results on the strong parallel scaling for the OpenACC-ac...

0 Jonathan Vincent, et al. ∙

∙ 08/27/2021

A High-Fidelity Flow Solver for Unstructured Meshes on Field-Programmable Gate Arrays

The impending termination of Moore's law motivates the search for new fo...

0 Martin Karp, et al. ∙

∙ 07/14/2021

Higgs Boson Classification: Brain-inspired BCPNN Learning with StreamBrain

One of the most promising approaches for data analysis and exploration o...

0 Martin Svedin, et al. ∙

∙ 07/02/2021

Neko: A Modern, Portable, and Scalable Framework for High-Fidelity Computational Fluid Dynamics

Recent trends and advancement in including more diverse and heterogeneou...

0 Niclas Jansson, et al. ∙

∙ 06/09/2021

StreamBrain: An HPC Framework for Brain-like Neural Networks on CPUs, GPUs and FPGAs

The modern deep learning method based on backpropagation has surged in p...

0 Artur Podobas, et al. ∙

∙ 06/09/2021

Benchmarking the Nvidia GPU Lineage: From Early K80 to Modern A100 with Asynchronous Memory Transfers

For many, Graphics Processing Units (GPUs) provides a source of reliable...

0 Martin Svedin, et al. ∙

∙ 03/17/2021

Accelerating Radiation Therapy Dose Calculation with Nvidia GPUs

Radiation Treatment Planning (RTP) is the process of planning the approp...

0 Felix Liu, et al. ∙

∙ 10/27/2020

Matrix Engines for High Performance Computing:A Paragon of Performance or Grasping at Straws?

Matrix engines or units, in different forms and affinities, are becoming...

0 Jens Domke, et al. ∙

∙ 10/26/2020

High-Performance Spectral Element Methods on Field-Programmable Gate Arrays

Improvements in computer systems have historically relied on two well-kn...

0 Martin Karp, et al. ∙

∙ 10/11/2020

Automatic Particle Trajectory Classification in Plasma Simulations

Numerical simulations of plasma flows are crucial for advancing our unde...

0 Stefano Markidis, et al. ∙

∙ 08/10/2020

sputniPIC: an Implicit Particle-in-Cell Code for Multi-GPU Systems

Large-scale simulations of plasmas are essential for advancing our under...

0 Steven W. D. Chien, et al. ∙

∙ 08/10/2020

tf-Darshan: Understanding Fine-grained I/O Performance in Machine Learning Workloads

Machine Learning applications on HPC systems have been gaining popularit...

0 Steven W. D. Chien, et al. ∙

∙ 05/27/2020

Optimization of Tensor-product Operations in Nekbone on GPUs

In the CFD solver Nek5000, the computation is dominated by the evaluatio...

0 Martin Karp, et al. ∙

∙ 04/09/2020

White Paper from Workshop on Large-scale Parallel Numerical Computing Technology (LSPANC 2020): HPC and Computer Arithmetic toward Minimal-Precision Computing

In numerical computations, precision of floating-point computations is a...

0 Roman Iakymchuk, et al. ∙

∙ 04/09/2020

While Paper from Workshop on Large-scale Parallel Numerical Computing Technology (LSPANC 2020): HPC and Computer Arithmetic toward Minimal-Precision Computing

In numerical computations, precision of floating-point computations is a...

0 Roman Iakymchuk, et al. ∙

∙ 04/09/2020

A Survey on Coarse-Grained Reconfigurable Architectures from a Performance Perspective

With the end of both Dennard's scaling and Moore's law, computer users a...

0 Artur Podobas, et al. ∙

∙ 02/14/2020

High-Performance High-Order Stencil Computation on FPGAs Using OpenCL

In this paper we evaluate the performance of FPGAs for high-order stenci...

0 Hamid Reza Zohouri, et al. ∙

∙ 10/22/2018

Double-precision FPUs in High-Performance Computing: an Embarrassment of Riches?

Among the (uncontended) common wisdom in High-Performance Computing (HPC...

0 Jens Domke, et al. ∙

∙ 02/01/2018

Combined Spatial and Temporal Blocking for High-Performance Stencil Computation on FPGAs Using OpenCL

Recent developments in High Level Synthesis tools have attracted softwar...

0 Hamid Reza Zohouri, et al. ∙

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