23 papers · ranked by Valyu relevance
Rishi Sharma, Shreyansh Kulshreshtha, Manas Thakur
With the advent of multi-core systems, GPUs and FPGAs, loop parallelization has become a promising way to speedup program execution. In order to stay up with time, various performance-oriented programming languages provide a multitude of constructs to allow programmers to write parallelizable loops. Correspondingly…
Donald S. Ene, V.I.E Anireh
- 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 evaluations of several parallel algorithms are compared in this study. Both…
Rajendra Purohit, K. R. Chowdhary, Sunıl Dutt Purohıt
—Arrival of multicore systems has enforced a new scenario in computing, the parallel and distributed algorithms are fast replacing the older sequential algorithms, with many challenges of these techniques. The distributed algorithms provide distributed processing using distributed file systems and processing units…
Lesia Mochurad, Andrii Sydor, Oleh Ratinskiy
Introduction Streaming services are highly popular today. Millions of people watch live streams or videos and listen to music. Methods One of the most popular streaming platforms is Twitch, and data from this type of service can be a good example for applying the parallel DBSCAN algorithm proposed in this paper. Unlike…
G.R. van der Ploeg, J.A. Westerhuis, A. Heintz-Buschart, A.K. Smilde
Recently, studies that investigate microbial temporal dynamics have become more frequent. In a longitudinal microbiome study design, microbial abundance data are collected across multiple time points from the same subjects. In this context, exploratory analysis of longitudinal microbiome data using Principal Component…
Zeyu Xia, Canqun Yang, Chenchen Peng, Yifei Guo + 3 more
'Tao Tang' 'Yingbo Cui'] Background The advent of Single Molecule Real-Time (SMRT) sequencing has overcome many limitations of second-generation sequencing, such as limited read lengths, PCR amplification biases. However, longer reads increase data volume exponentially and high error rates make many existing alignment…
Authors not listed
Protein conformational landscapes contain the functionally relevant information useful for understanding biological processes. Mapping out conformational landscapes provides valuable insights into protein behaviors and biological phenomena, and has relevance to therapeutic design. While experimental structural biology…
Authors not listed
Recent advances in machine learning force fields (MLFF) have significantly extended the reach of atomistic simulations. Continuous progress in this field requires reliable reference datasets, accurate MLFF architectures, and efficient active learning strategies to enable robust modeling of complex molecular and…
Elias Elmquist, Kajetan Enge, Alexander Rind, Carlo Navarra + 6 more
'Robert Höldrich' 'Michael Iber' 'Alexander Bock' 'Anders Ynnerman' 'Wolfgang Aigner' 'Niklas Rönnberg'] One of the commonly used visualization techniques for multivariate data is the parallel coordinates plot. It provides users with a visual overview of multivariate data and the possibility to interactively explore…
Amirhossein Shahbazinia, Saber Salehkaleybar, Matin Hashemi
—One of the key objectives in many fields in machine learning is to discover causal relationships among a set of variables from observational data. In linear non-Gaussian acyclic models (LiNGAM), it can be shown that the true underlying causal structure can be identified uniquely from merely observational data.…
Cristian Vidal-Silva, Vannessa Duarte, Jesennia Cárdenas-Cobo, Iván Veas
Parallel computing is a current algorithmic approach to looking for efficient solutions; that is, to define a set of processes in charge of performing at the same time the same task. Advances in hardware permit the massification of accessibility to and applications of parallel computing. Nonetheless, some algorithms…
Andreas Härer, Diana J. Rennison
Parallel evolution of phenotypic traits is regarded as strong evidence for natural selection and has been studied extensively in a variety of taxa. However, we have limited knowledge of whether parallel evolution of host organisms is accompanied by parallel changes of their associated microbial communities (i.e.…
Kecong Tang, Ahsan Sanaullah, Degui Zhi, Shaojie Zhang
Durbin’s positional Burrows-Wheeler transform (PBWT) enables algorithms with the optimal time complexity of O(MN) for reporting all vs all haplotype matches in a population panel with M haplotypes and N variant sites. However, even this efficiency may still be too slow when the number of haplotypes reaches millions. To…
Peiyu Zong, Wenpeng Deng, Jian Liu, Jue Ruan
The rapid advancements in sequencing length necessitate the adoption of increasingly efficient sequence alignment algorithms. The Needleman-Wunsch method introduces the foundational dynamic programming (DP) matrix calculation for global alignment, which evaluates the overall alignment of sequences. However, this method…
Kecong Tang, Ahsan Sanaullah, Degui Zhi, Shaojie Zhang
Durbin’s positional Burrows-Wheeler transform (PBWT) enables algorithms with the optimal time complexity of $OMN$ for reporting all vs all haplotype matches in a population panel with $M$ haplotypes and $N$ variant sites. However, even this efficiency may still be too slow when the number of haplotypes reaches…
Peiyu Zong, Wenpeng Deng, Jian Liu, Jue Ruan
Farrar recommends employing a stripe method to enhance the implementation of in-sequence parallelism, resulting in significant improvements in parallel performance through the utilization of the SIMD instruction set. This method involves reorganizing the originally sequential computation. The length of each stripe…
Tal Kadosh, Niranjan Hasabnis, Prema Soundararajan, Vy A. Vo + 4 more
Compilation Authors: ['Tal Kadosh' 'Niranjan Hasabnis' 'Prema Soundararajan' 'Vy A. Vo' 'Mihai Capotă' 'Nesreen K. Ahmed' 'Yuval Pinter' 'Gal Oren'] Manual parallelization of code remains a significant challenge due to the complexities of modern software systems and the widespread adoption of multi-core architectures.…
Authors not listed
As demand rises for scalable and sustainable energy storage, fast and low-cost diagnostics capable of identifying cell-to-cell variations are urgently needed, particularly for factory-produced sorting and second-life assessment. Electrochemical impedance spectroscopy (EIS) is widely used but remains slow, expensive and…
Aleksandr S. Filipchenko
computer system based on Amdahl's law Authors: ['Aleksandr S. Filipchenko'] Abstract The modification of Amdahl's law for the case of increment of processor elements in a computer system is considered. The coefficient k linking accelerations of parallel and parallel specialized computer systems is determined. The…
Authors not listed
Background: Pharmaceutical batch scheduling in multi-reactor configurations presents complex optimization challenges under operational uncertainty, yet limited research addresses how parallel processing capacity affects heuristic performance and predictive modeling. Objectives: This study investigated scheduling…
Patrick Mukala
| Article Info | ABSTRACT | | --- | --- | | | A myriad of applications ranging from engineering and scientific | | | simulations, image and signal processing as well as high-sensitive data | | | retrieval demand high processing power reaching up to teraflops for their | | | efficient execution. While a standard serial…
Andrew Simmonett, Bernard Brooks, Thomas Darden
Evaluation of noncovalent electrostatic interactions is the dominant bottleneck in classical molecular dynamics simulations, and evaluation of Coulombic matrix elements similarly limits quantum mechanical self consistent field calculations. These difficulties are a result of the Coulomb operator’s slow decay, which…
Sage Hahn, Max M. Owens, DeKang Yuan, Anthony C Juliano + 3 more
The use of pre-defined parcellations on surface-based representations of the brain as a method for data reduction is common across neuroimaging studies. In particular, prediction-based studies typically employ parcellation-driven summaries of brain measures as input to predictive algorithms, but the choice of…