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Aim: The George B. Moody PhysioNet Challenge 2022 raised problems of heart murmur detection and related abnormal cardiac function identification from phonocardiograms (PCGs). This work describes the novel approaches developed by our team,…

Machine Learning · Computer Science 2023-03-07 Hao Wen , Jingsu Kang

Software developers must adapt to keep up with the changing capabilities of platforms so that they can utilize the power of High- Performance Computers (HPC), including exascale systems. OpenMP, a directive-based parallel programming model,…

Evaluating how well a whole system or set of subsystems performs is one of the primary objectives of performance testing. We can tell via performance assessment if the architecture implementation meets the design objectives. Performance…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-09-15 Donald Ene Vincent Ike Anireh

This paper describes a new benchmark tool, Spatter, for assessing memory system architectures in the context of a specific category of indexed accesses known as gather and scatter. These types of operations are increasingly used to express…

Performance · Computer Science 2020-07-09 Patrick Lavin , Jeffrey Young , Jason Riedy , Richard Vuduc , Aaron Vose , Dan Ernst

We introduce an entropy-based classification method for pairs of sequences (ECPS) for quantifying mutual dependencies in heart rate and beat-to-beat blood pressure recordings. The purpose of the method is to build a classifier for data in…

Advancements in multi-core have created interest among many research groups in finding out ways to harness the true power of processor cores. Recent research suggests that on-board component such as cache memory plays a crucial role in…

Hardware Architecture · Computer Science 2011-11-15 N. Ramasubramanian , Srinivas V. V. , N. Ammasai Gounden

Multicore has emerged as a typical architecture model since its advent and stands now as a standard. The trend is to increase the number of cores and improve the performance of the memory system. Providing an efficient multicore…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-01-22 Claude Tadonki

Heart disorder has just overtaken cancer as the world's biggest cause of mortality. Several cardiac failures, heart disease mortality, and diagnostic costs can all be reduced with early identification and treatment. Medical data is…

Machine Learning · Computer Science 2023-04-13 Md. Maidul Islam , Tanzina Nasrin Tania , Sharmin Akter , Kazi Hassan Shakib

Sharing a common clock signal among the nodes is crucial for communication in synchronized networks. This work presents a heartbeat-based synchronization scheme for body-worn nodes. The principles of this coordination technique combined…

Networking and Internet Architecture · Computer Science 2020-05-13 Robin Benarrouch , Ali Moin , Flavien Solt , Antoine Frappé , Andreia Cathelin , Andreas Kaiser , Jan Rabaey

Method: In this study, a new method is introduced for distinguishing noise-free segments of ECG from noisy segments that use sample amplitude dispersion with an adoptive threshold for variance of samples amplitude and a method which uses…

Signal Processing · Electrical Eng. & Systems 2021-05-24 Zahra Rezaei Khavas , Babak Mohammadzadeh Asl

Programming a distributed system, such as a cluster, requires extended use of low-level communication libraries and can often become cumbersome and error prone for the average developer. In this work, we consider each node of a cluster as a…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-05-24 Ilias Keftakis , Vassilios V. Dimakopoulos

Exploiting the full computational power of always deeper hierarchical multiprocessor machines requires a very careful distribution of threads and data among the underlying non-uniform architecture. The emergence of multi-core chips and NUMA…

Programming Languages · Computer Science 2007-06-15 Samuel Thibault , François Broquedis , Brice Goglin , Raymond Namyst , Pierre-André Wacrenier

Exascale computing systems will exhibit high degrees of hierarchical parallelism, with thousands of computing nodes and hundreds of cores per node. Efficiently exploiting hierarchical parallelism is challenging due to load imbalance that…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-07-29 Jonas H. Müller Korndörfer , Ahmed Eleliemy , Ali Mohammed , Florina M. Ciorba

Simultaneous multithreading processors improve throughput over single-threaded processors thanks to sharing internal core resources among instructions from distinct threads. However, resource sharing introduces inter-thread interference…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-10-20 Marta Navarro , Josué Feliu , Salvador Petit , María E. Gómez , Julio Sahuquillo

Finding optimal hyperparameters for the machine learning algorithm can often significantly improve its performance. But how to choose them in a time-efficient way? In this paper we present the protocol of generating benchmark data…

Machine Learning · Computer Science 2020-09-01 Wojciech Kretowicz , Przemysław Biecek

Heart murmurs are a common manifestation of cardiovascular diseases and can provide crucial clues to early cardiac abnormalities. While most current research methods primarily focus on the accuracy of models, they often overlook other…

Sound · Computer Science 2024-05-08 Zixing Zhang , Tao Pang , Jing Han , Björn W. Schuller

Developing efficient parallel applications is critical to advancing scientific development but requires significant performance analysis and optimization. Performance analysis tools help developers manage the increasing complexity and scale…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-01-25 Onur Cankur , Aditya Tomar , Daniel Nichols , Connor Scully-Allison , Katherine E. Isaacs , Abhinav Bhatele

Bottleneck evaluation plays a crucial part in performance tuning of HPC applications, as it directly influences the search for optimizations and the selection of the best hardware for a given code. In this paper, we introduce a new…

Performance · Computer Science 2025-09-11 Aurélien Delval , Pablo de Oliveira Castro , William Jalby , Etienne Renault

One area of Computing applications which poses significant challenge of performance scalability on Chip Multiprocessors(CMP's) are Irregular applications. Such applications have very little computation and unpredictable memory access…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-03-09 Varun Nagpal

Heterogeneity has become a mainstream architecture design choice for building High Performance Computing systems. However, heterogeneity poses significant challenges for achieving performance portability of execution. Adapting a program to…

Programming Languages · Computer Science 2023-03-17 Giorgis Georgakoudis , Konstantinos Parasyris , Chunhua Liao , David Beckingsale , Todd Gamblin , Bronis de Supinski