A Parallel-Computing Algorithm for High-Energy Physics Particle Tracking and Decoding Using GPU Architectures

IEEE Access, Journal Year: 2019, Volume and Issue: 7, P. 91612 - 91626

Published: Jan. 1, 2019

Real-time data processing is one of the central processes particle physics experiments which require large computing resources. The LHCb (Large Hadron Collider beauty) experiment will be upgraded to cope with a bunch collision rate 30 million times per second, producing $10^9$ particles/s. 40 Tbits/s need processed in real-time make filtering decisions store data. This poses challenge that requires exploration modern hardware and software solutions. We present Compass, tracking algorithm parallel raw input decoding optimised for GPUs. It designed highly architectures, data-oriented fast localised access. Our configurable, we explore trade-off performance various configurations. A CPU implementation delivers same as our GPU presented. discuss achieved validate it Monte Carlo simulated show analysis comparing consumer server grade GPUs, CPU. feasibility using full high-throughput trajectories reconstruction, where improves throughput up 7.4$\times$ compared baseline.

Language: Английский

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Yeni Nesil Dizileme Analizinde Hizalama Adımının GPU Başarımı

Gazi Journal of Engineering Sciences, Journal Year: 2024, Volume and Issue: 10(2), P. 432 - 442

Published: Aug. 31, 2024

As the amount of biological data has increased, it become difficult to process effectively.This brought discipline bioinformatics forefront and increased need for development relevant tools.A sensitive analysis is required make sense this large produced by next generation sequencing technique.The most costly step in alignment step.One effective techniques reduce cost use a graphics processing unit.In study, performances CPU-based Burrows-Wheeler aligner GPU programming version BarraCUDA tools were compared terms rates computation times different datasets.In total runtime these was also examined, as well sub-steps when using one or more GPUs.While there similarity used each set, been observed that significant time benefit sizes through supported BarraCUDA.As result, with step, approximately 5 acceleration achieved single-end 9 paired-end data.

Language: Английский

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Linear Regression Analysis for Time-Point Datasets

Published: Nov. 10, 2020

In this paper, we present a relapse based demonstrating way to deal with investigate various arrangement MTC information. A commonplace use of displaying approach incorporates three stages: first, define model that approximates the connection between quality articulation and trial factors, boundaries consolidated address exploration premium; second, utilize least-squares assessing condition methods gauge their relating standard blunders; third, register test insights, P-qualities NFD as proportions factual criticalness. The benefits methodology are per following. To begin with, it tends interest in particular, precise way, maximally uses all information other important data. Second, represents both orderly irregular varieties related information, consequences such examination give not just explicit data applicable objective, yet additionally its dependability, helping agents settle on better choices for subsequent investigations. Third, is truly adaptable, can undoubtedly be stretched out different sorts considers or microarray explores by detailing models dependent plan

Language: Английский

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