The Quad Plus and India's pointed alignment strategy

2021 ◽  
pp. 44-77
Author(s):  
Jagannath P. Panda
Keyword(s):  
Alignment Strategy

Practical Aspects of Propulsion Shaft Alignment

2021 ◽  
Author(s):  
Kyriakos Avgouleas ◽  
Emmanouil Sarris ◽  
George Gougoulidis
Keyword(s):  
Cost Effectiveness ◽  
Numerical Model ◽  
High Speed ◽  
The Other ◽  
Technical Literature ◽  
Trade Off ◽  
Fea Model ◽  
Shaft Alignment ◽  
Alignment Strategy ◽  
Potential Damage

The economical and operational implications of poor alignment are indisputable for the propulsion shafting system of a commercial vessel. This holds true for naval vessels as well, although far less documented in the technical literature. This paper addresses some of the challenges associated with the proper alignment of a high-speed naval craft, which has been in service for many years. Laser bore-sighting was performed on a Guided Missile Fast Patrol Boat resting on a docking cradle. The measured bearing offsets were input to a FEA model of the shafting system to calculate bearing reactions and detect potential misalignment issues. Subsequent decisions regarding corrective measures take into account the results computed by the numerical model, experience from sister ships, the available documentation from the building yard and several other factors which are discussed in the paper. The solutions proposed are targeted towards a balanced trade-off between cost effectiveness and out-of-service time on one hand, and the risk of potential damage from misalignment on the other hand, which would seriously disrupt the ship’s operational availability. Practical aspects and lessons identified in the process are also presented, which demonstrate the distinct differences in alignment strategy of a high-speed naval craft compared to a typical commercial vessel.

Sprites2: Detection of Deletions Based on an Accurate Alignment Strategy

2018 ◽  
pp. 139-150
Author(s):  
Zhen Zhang ◽  
Jianxin Wang ◽  
Junwei Luo ◽  
Juan Shang ◽  
Min Li ◽  
...  
Keyword(s):  
Alignment Strategy

scholarly journals ADEPT: a domain independent sequence alignment strategy for gpu architectures

2020 ◽  
Vol 21 (1) ◽  
Author(s):  
Muaaz G. Awan ◽  
Jack Deslippe ◽  
Aydin Buluc ◽  
Oguz Selvitopi ◽  
Steven Hofmeyr ◽  
...  
Keyword(s):  
Sequence Alignment ◽  
High Performance ◽  
Large Scale ◽  
Peak Performance ◽  
Local Alignment ◽  
Independent Sequence ◽  
Multiple Gpus ◽  
Alignment Strategy ◽  
Gpu Architectures ◽  
Domain Independent

Abstract Background Bioinformatic workflows frequently make use of automated genome assembly and protein clustering tools. At the core of most of these tools, a significant portion of execution time is spent in determining optimal local alignment between two sequences. This task is performed with the Smith-Waterman algorithm, which is a dynamic programming based method. With the advent of modern sequencing technologies and increasing size of both genome and protein databases, a need for faster Smith-Waterman implementations has emerged. Multiple SIMD strategies for the Smith-Waterman algorithm are available for CPUs. However, with the move of HPC facilities towards accelerator based architectures, a need for an efficient GPU accelerated strategy has emerged. Existing GPU based strategies have either been optimized for a specific type of characters (Nucleotides or Amino Acids) or for only a handful of application use-cases. Results In this paper, we present ADEPT, a new sequence alignment strategy for GPU architectures that is domain independent, supporting alignment of sequences from both genomes and proteins. Our proposed strategy uses GPU specific optimizations that do not rely on the nature of sequence. We demonstrate the feasibility of this strategy by implementing the Smith-Waterman algorithm and comparing it to similar CPU strategies as well as the fastest known GPU methods for each domain. ADEPT’s driver enables it to scale across multiple GPUs and allows easy integration into software pipelines which utilize large scale computational systems. We have shown that the ADEPT based Smith-Waterman algorithm demonstrates a peak performance of 360 GCUPS and 497 GCUPs for protein based and DNA based datasets respectively on a single GPU node (8 GPUs) of the Cori Supercomputer. Overall ADEPT shows 10x faster performance in a node-to-node comparison against a corresponding SIMD CPU implementation. Conclusions ADEPT demonstrates a performance that is either comparable or better than existing GPU strategies. We demonstrated the efficacy of ADEPT in supporting existing bionformatics software pipelines by integrating ADEPT in MetaHipMer a high-performance denovo metagenome assembler and PASTIS a high-performance protein similarity graph construction pipeline. Our results show 10% and 30% boost of performance in MetaHipMer and PASTIS respectively.

Alignment strategy for metal layers after W-CMP

1999 ◽  
Author(s):  
Sajan R. Marokkey ◽  
Juan Boon Tan ◽  
Yan T. Tak ◽  
Alex T. Cheng
Keyword(s):  
Alignment Strategy ◽  
Metal Layers

scholarly journals AIMFAST: Initial Dish System Alignments Results Using Fringe Reflection Methods

2011 ◽  
Author(s):  
Charles E. Andraka ◽  
Julius Yellowhair ◽  
Nolan Finch ◽  
Jeff Carlson ◽  
Matt Francis ◽  
...  
Keyword(s):  
Production Systems ◽  
Energy Systems ◽  
Poor Performance ◽  
Alignment Error ◽  
Optical Modeling ◽  
The Past ◽  
Before And After ◽  
Alignment Strategy ◽  
Engine System

The proper alignment of facets on a dish engine system is critical to the performance of the system. Improper alignment can lead to poor performance and shortened life, through excessively high flux on the receiver surfaces, imbalanced power on multicylinder engines, and intercept losses at the aperture. Alignment approaches used in the past are time consuming field operations, typically taking 4–6 hours per dish with 40–80 facets on the dish. Production systems will need rapid, accurate alignment implemented in a fraction of an hour. In this paper, we present an AIMFAST characterization of a Stirling Energy Systems dish, before and after implementing an alignment using the AIMFAST software. The results of the alignment are correlated with fluxmapper measurements of the dish, and the improvement in the flux pattern projected to an engine receiver is calculated using Sandia’s CIRCE 2 dish optical modeling tool. The alignment substantially reduced the peak fluxes on the flat fluxmapper targets as well as the projection onto the receiver. The fluxmap images correlate well with the CIRCE projections of measured facet normals. In addition, we implemented automated actuation of the facet during alignment, improving the response and accuracy of the system, resulting in total dish alignments with under 0.1 mrad RMS alignment error. We also implemented an adaptive alignment strategy that varied the alignment based on the AIMFAST-measured facet shape.

scholarly journals Decoupling alignment strategy from feature quantification using a standard alignment incidence data structure

2021 ◽  
Author(s):  
Kwangbom Choi ◽  
Matthew J. Vincent ◽  
Gary A. Churchill
Keyword(s):  
Gene Expression ◽  
Data Structure ◽  
Genomic Feature ◽  
File Format ◽  
Read Alignment ◽  
Incidence Data ◽  
Link Type ◽  
Generic Data ◽  
Alignment Strategy ◽  
Standard Alignment

AbstractSummaryThe abundance of genomic feature such as gene expression is often estimated from observed total number of alignment incidences in the targeted genome regions. We introduce a generic data structure and associated file format for alignment incidence data so that method developers can create novel pipelines comprising models, each optimal for read alignment, post-alignment QC, and quantification across multiple sequencing modalities.Availability and Implementationalntools software is freely available at https://github.com/churchill-lab/alntools under MIT [email protected] or [email protected]

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