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08/01/2023
Boosting the Performance of Object Tracking with a Half-Precision Particle Filter on GPU
High-performance GPU-accelerated particle filter methods are critical fo...
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08/01/2023
Krylov Solvers for Interior Point Methods with Applications in Radiation Therapy
Interior point methods are widely used for different types of mathematic...
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08/01/2023
Anderson Accelerated PMHSS for Complex-Symmetric Linear Systems
This paper presents the design and development of an Anderson Accelerate...
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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...
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07/27/2023
Quantum Computer Simulations at Warp Speed: Assessing the Impact of GPU Acceleration
Quantum computer simulators are crucial for the development of quantum c...
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06/28/2023
Leveraging HPC Profiling Tracing Tools to Understand the Performance of Particle-in-Cell Monte Carlo Simulations
Large-scale plasma simulations are critical for designing and developing...
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05/08/2023
Parallel Cholesky Factorization for Banded Matrices using OpenMP Tasks
Cholesky factorization is a widely used method for solving linear system...
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02/23/2023
Making Applications Faster by Asynchronous Execution: Slowing Down Processes or Relaxing MPI Collectives
Comprehending the performance bottlenecks at the core of the intricate h...
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09/28/2022
On Physics-Informed Neural Networks for Quantum Computers
Physics-Informed Neural Networks (PINN) emerged as a powerful tool for s...
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08/30/2022
Physics-based adaptivity of a spectral method for the Vlasov-Poisson equations based on the asymmetrically-weighted Hermite expansion in velocity space
We propose a spectral method for the 1D-1V Vlasov-Poisson system where t...
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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...
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08/24/2022
Distributed Objective Function Evaluation for Optimization of Radiation Therapy Treatment Plans
The modern workflow for radiation therapy treatment planning involves ma...
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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 ...
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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...
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06/23/2022
Large-Scale Direct Numerical Simulations of Turbulence Using GPUs and Modern Fortran
We present our approach to making direct numerical simulations of turbul...
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05/27/2022
Exploring Techniques for the Analysis of Spontaneous Asynchronicity in MPI-Parallel Applications
This paper studies the utility of using data analytics and machine learn...
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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...
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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 ...
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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...
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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...
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07/14/2021
Higgs Boson Classification: Brain-inspired BCPNN Learning with StreamBrain
One of the most promising approaches for data analysis and exploration o...
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07/05/2021
A Deep Learning-Based Particle-in-Cell Method for Plasma Simulations
We design and develop a new Particle-in-Cell (PIC) method for plasma sim...
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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...
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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...
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03/17/2021
Accelerating Radiation Therapy Dose Calculation with Nvidia GPUs
Radiation Treatment Planning (RTP) is the process of planning the approp...
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03/12/2021
Physics-Informed Deep-Learning for Scientific Computing
Physics-Informed Neural Networks (PINN) are neural networks that encode ...
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10/26/2020
High-Performance Spectral Element Methods on Field-Programmable Gate Arrays
Improvements in computer systems have historically relied on two well-kn...
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10/11/2020
Automatic Particle Trajectory Classification in Plasma Simulations
Numerical simulations of plasma flows are crucial for advancing our unde...
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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...
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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...
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05/27/2020
Optimization of Tensor-product Operations in Nekbone on GPUs
In the CFD solver Nek5000, the computation is dominated by the evaluatio...
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10/21/2019
Performance Evaluation of Advanced Features in CUDA Unified Memory
CUDA Unified Memory improves the GPU programmability and also enables GP...
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08/15/2019
Automated classification of plasma regions using 3D particle energy distribution
Even though automatic classification and interpretation would be highly ...
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07/12/2019
Posit NPB: Assessing the Precision Improvement in HPC Scientific Applications
Floating-point operations can significantly impact the accuracy and perf...
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04/07/2019
Multi-GPU Acceleration of the iPIC3D Implicit Particle-in-Cell Code
iPIC3D is a widely used massively parallel Particle-in-Cell code for the...
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03/11/2019
TensorFlow Doing HPC
TensorFlow is a popular emerging open-source programming framework suppo...
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10/09/2018
Exploring the Vision Processing Unit as Co-processor for Inference
The success of the exascale supercomputer is largely debated to remain d...
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10/09/2018
Decoupled Strategy for Imbalanced Workloads in MapReduce Frameworks
In this work, we consider the integration of MPI one-sided communication...
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10/09/2018
MPI Windows on Storage for HPC Applications
Upcoming HPC clusters will feature hybrid memories and storage devices p...
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10/06/2018
Characterizing Deep-Learning I/O Workloads in TensorFlow
The performance of Deep-Learning (DL) computing frameworks rely on the p...
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07/06/2018
The SAGE Project: a Storage Centric Approach for Exascale Computing
SAGE (Percipient StorAGe for Exascale Data Centric Computing) is a Europ...
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07/06/2018
Exploring Scientific Application Performance Using Large Scale Object Storage
One of the major performance and scalability bottlenecks in large scient...
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05/01/2018
SAGE: Percipient Storage for Exascale Data Centric Computing
We aim to implement a Big Data/Extreme Computing (BDEC) capable system i...
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03/11/2018
