MetAlign 3.0: performance enhancement by efficient use of advances in computer hardware

MetAlign 3.0: повышение производительности за счёт эффективного использования достижений компьютерного оборудования
Arjen Lommen, Harrie J. Kools
2011-10-07

GC-MS and LC-MSMetAlign 3.0multi-core performancemulti-threaded data processingpeak picking
A new, multi-threaded version of the GC-MS and LC-MS data processing software, metAlign, has been developed which is able to utilize multiple cores on one PC. This new version was tested using three different multi-core PCs with different operating systems. The performance of noise reduction, baseline correction and peak-picking was 8-19 fold faster compared to the previous version on a single core machine from 2008. The alignment was 5-10 fold faster. Factors influencing the performance enhancement are discussed. Our observations show that performance scales with the increase in processor core numbers we currently see in consumer PC hardware development.
1
Alignment processing achieved a 5–10-fold speed improvement compared with the previous version.
2
MetAlign 3.0 introduces multithreaded processing for GC-MS and LC-MS data, utilizing multiple CPU cores on a single PC.
3
Noise reduction, baseline correction, and peak-picking became 8–19 times faster than the previous single-core version on a 2008 computer.
4
Observed speed improvements scaled with increasing processor core counts in contemporary consumer hardware.
5
Performance was evaluated on three multicore PCs running different operating systems.

MetAlign 3.0 GC-MS and LC-MS data processing software

Performance enhancement and scalability of noise reduction, baseline correction, peak-picking, and alignment through multi-core hardware utilization

Publication Details
Publication Date
2011-10-07
Journal
Publisher
ISSN
Access Type
Author Information
Authors
Arjen Lommen
Harrie J. Kools
Explore further
Open the scid.ai AI chat with a ready-made request: it will find papers on a similar topic and help build a literature review.
Find similar papers in the chat
Make a presentation
100%