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Object-Oriented Implementation of Algebraic Multi-grid Solver for Lattice QCD on SIMD Architectures and GPU Clusters
A portable implementation of elaborated algorithm is important to use variety of architectures in HPC applications. In this work we implement and... -
Quantum Walk on FRET Networks
In this section, we introduce the basics of quantum walk algorithm and its applications. Quantum walk is a natural extension of the concept of random... -
Hypergeometric structures in Feynman integrals
For the precision calculations in perturbative Quantum Chromodynamics (QCD) gigantic expressions (several GB in size) in terms of highly complicated...
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A Four-Point Function for the Planar QCD Massive Corrections to Top-Antitop Production in the Gluon-Fusion Channel
In these proceedings we present the study of a four-point function that is involved in the evaluation of the Master Integrals necessary to compute... -
Crossover Service Optimization: Value and Quality
Under the background of deep convergences in crossover services, the start point and end point of multi-participant collaboration are all to achieve... -
DeepFakes Detection Based on Heart Rate Estimation: Single- and Multi-frame
This chapter describes a DeepFake detectionDeepFake detection framework based on physiological measurement. In particular, we consider information... -
Quickest Multiple User Active Authentication
In this chapter, we investigate how to detect intruders with low latency for Active Authentication (AA) systems with multiple-users. We extend The... -
Application Performance Analysis: A Report on the Impact of Memory Bandwidth
As High-Performance Computing (HPC) applications involving massive data sets, including large-scale simulations, data analytics, and machine... -
XcalableACC: An Integration of XcalableMP and OpenACC
XcalableACC (XACC) is an extension of XcalableMP for accelerated clusters. It is defined as a diagonal integration of XcalableMP and OpenACC, which... -
Machine Learning in Particle Physics
This note surveys developments in particle physics due to advances made in the fields of statistics, machine learning, and artificial intelligence.... -
Practical Implementation of Lattice QCD Simulation on SIMD Machines with Intel AVX-512
We investigate implementation of lattice Quantum Chromodynamics (QCD) code on the Intel AVX-512 architecture. The most time consuming part of the... -
General Algorithm for Learning from Grouped Uncoupled Data and Pairwise Comparison Data
Uncoupled regression is the problem of learning a regression model from uncoupled data that consists of a set of input values (unlabeled data) and a... -
A Variational AutoEncoder for Model Independent Searches of New Physics at LHC
We present a feasibility study for the use of a generative, probabilistic model, a Variational Autoencoder (VAE), to detect deviations from Standard... -
A Survey of Big Data, High Performance Computing, and Machine Learning Benchmarks
In recent years, there has been a convergence of Big Data (BD), High Performance Computing (HPC), and Machine Learning (ML) systems. This convergence... -
Lessons Learned from Optimizing Kernels for Adaptive Aggregation Multi-grid Solvers in Lattice QCD
In recent years, adaptive aggregation multi-grid (AAMG) methods have become the gold standard for solving the Dirac equation in Lattice QCD (LQCD)... -
A posteriori error bounds for the block-Lanczos method for matrix function approximation
We extend the error bounds from Chen et al. ( SIAM J. Matrix Anal. Appl 43(2):787–811,
2022 ) for the Lanczos method for matrix function approximation... -
Characterizing Containerized HPC Applications Performance at Petascale on CPU and GPU Architectures
Containerization technologies provide a mechanism to encapsulate applications and many of their dependencies, facilitating software portability and... -
Outcomes of OpenMP Hackathon: OpenMP Application Experiences with the Offloading Model (Part II)
This paper reports on experiences gained and practices adopted when using the latest features of OpenMP to port a variety of HPC applications and... -
Task allocation optimization model in mechanical product development based on Bayesian network and ant colony algorithm
A task allocation optimization model in mechanical product development was proposed. First, Bayesian network was introduced and used to describe...
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Quality Control-Driven Image Segmentation Towards Reliable Automatic Image Analysis in Large-Scale Cardiovascular Magnetic Resonance Aortic Cine Imaging
Recent progress in fully-automated image segmentation has enabled efficient extraction of clinical parameters in large-scale clinical imaging...