scholarly journals Passively parallel regularized stokeslets

2020 ◽  
Vol 378 (2179) ◽  
pp. 20190528
Author(s):  
Meurig T. Gallagher ◽  
David J. Smith
Keyword(s):  
Gpu Computing ◽  
State Of The Art ◽  
Computer Code ◽  
Flagellar Motility ◽  
The Past ◽  
Recent Modification ◽  
Flow Phenomena ◽  
Order Of Magnitude ◽  
Computational Research ◽  
Magnitude Improvement

Stokes flow, discussed by G.G. Stokes in 1851, describes many microscopic biological flow phenomena, including cilia-driven transport and flagellar motility; the need to quantify and understand these flows has motivated decades of mathematical and computational research. Regularized stokeslet methods, which have been used and refined over the past 20 years, offer significant advantages in simplicity of implementation, with a recent modification based on nearest-neighbour interpolation providing significant improvements in efficiency and accuracy. Moreover this method can be implemented with the majority of the computation taking place through built-in linear algebra, entailing that state-of-the-art hardware and software developments in the latter, in particular multicore and GPU computing, can be exploited through minimal modifications (‘passive parallelism’) to existing Matlab computer code. Hence, and with widely available GPU hardware, significant improvements in the efficiency of the regularized stokeslet method can be obtained. The approach is demonstrated through computational experiments on three model biological flows: undulatory propulsion of multiple Caenorhabditis elegans , simulation of progression and transport by multiple sperm in a geometrically confined region, and left–right symmetry breaking particle transport in the ventral node of the mouse embryo. In general an order-of-magnitude improvement in efficiency is observed. This development further widens the complexity of biological flow systems that are accessible without the need for extensive code development or specialist facilities. This article is part of the theme issue ‘Stokes at 200 (part 2)’.

Surface Accumulating E. coli in Water Flow Using a Bypass Mini-Channel Based Device

2014 ◽  
Author(s):  
Mohammed S. Mayeed ◽  
Golam Newaz
Keyword(s):  
State Of The Art ◽  
Inlet Concentration ◽  
E Coli ◽  
High Particle ◽  
Lagrangian Equations ◽  
Order Of Magnitude ◽  
Computational Research ◽  
Water Ratio ◽  
Design Challenges ◽  
Particle Boundary

The objective of this research is to design and optimize a bypass mini/micro-channel based surface accumulator of E. coli which could be easily integrated with an acoustic wave biosensor. A computational research has been carried out using the state of the art computational software, CFD-ACE with water as bacteria bearing fluid. E. coli bacteria have been modeled as random discrete particles tracked by solving the Lagrangian equations. The design challenges are to achieve high particle to water ratio in a bypass channel and accumulation of particles on a surface of the channel, high enough Reynolds number to avoid bacteria swimming, and various particle boundary conditions. The optimized designs have achieved accumulation concentration of more than an order of magnitude higher than the inlet concentration at a flow velocity much higher than the bacteria swimming speed under various particle-boundary interactions. A bypass channel has been used in this design to separate concentrated water-particle mixture and accumulate particles on a surface of the channel where the biosensor can be installed safely and precisely.

A Micro/Mini Channel Based Concentrator of E. coli in Water Flow

2007 ◽  
Author(s):  
Mohammed S. Mayeed ◽  
Abdulhakeem M. Al-Mekhnaqi ◽  
Gregory W. Auner ◽  
Golam M. Newaz
Keyword(s):  
State Of The Art ◽  
Optimized Design ◽  
Inlet Concentration ◽  
E Coli ◽  
High Particle ◽  
Lagrangian Equations ◽  
Order Of Magnitude ◽  
Computational Research ◽  
Water Ratio ◽  
Particle Boundary

The objective of this research is to design and optimize a mini/micro-channel based concentrator of E. coli and integrate it with an acoustic wave biosensor. A computational research has been carried out using the state of the art computational software, CFD-ACE with water as bacteria bearing fluid. E. coli bacteria have been modeled as random discrete particles tracked by solving the Lagrangian equations. The design challenges are to achieve high particle to water ratio, high enough Reynolds number to avoid bacteria swimming, and various particle boundary conditions. The optimized design has achieved concentration of about an order of magnitude higher than the inlet concentration at a flow velocity much higher than the bacteria swimming speed under various particle-boundary interactions. Bypass channels have been used to separate concentrated water-particle mixture and to put this mixture directly onto the biosensor’s bacteria detecting surface for safe and precise installation of the biosensor in the fluidic chip.

A Concentrator of E. coli in Water Flow

2012 ◽  
Author(s):  
Mohammed S. Mayeed ◽  
Golam M. Newaz
Keyword(s):  
State Of The Art ◽  
Optimized Design ◽  
Inlet Concentration ◽  
E Coli ◽  
High Particle ◽  
Lagrangian Equations ◽  
Order Of Magnitude ◽  
Computational Research ◽  
Water Ratio ◽  
Particle Boundary

The objective of this research is to design and optimize a mini/micro-channel based concentrator of E. coli and integrate it with an acoustic wave biosensor. A computational research has been carried out using the state of the art computational software, CFD-ACE with water as bacteria bearing fluid. E. coli bacteria have been modeled as random discrete particles tracked by solving the Lagrangian equations. The design challenges are to achieve high particle to water ratio, high enough Reynolds number to avoid bacteria swimming, and various particle boundary conditions. The optimized design has achieved concentration of more than an order of magnitude higher than the inlet concentration at a flow velocity much higher than the bacteria swimming speed under various particle-boundary interactions. Bypass channels have been used to separate concentrated water-particle mixture and to put this mixture directly onto the biosensor’s bacteria detecting surface for safe and precise installation of the biosensor in the fluidic chip.

scholarly journals Direct imaging of sub-Jupiter mass exoplanets with James Webb Space Telescope coronagraphy

2020 ◽  
Vol 501 (2) ◽  
pp. 1999-2016
Author(s):  
Aarynn L Carter ◽  
Sasha Hinkley ◽  
Mariangela Bonavita ◽  
Mark W Phillips ◽  
Julien H Girard ◽  
...  
Keyword(s):  
State Of The Art ◽  
Population Synthesis ◽  
Space Telescope ◽  
Planetary Mass ◽  
Exoplanetary Systems ◽  
James Webb Space Telescope ◽  
Order Of Magnitude ◽  
Moving Groups ◽  
First Time ◽  
Magnitude Improvement

ABSTRACT The James Webb Space Telescope (JWST), currently scheduled to launch in 2021, will dramatically advance our understanding of exoplanetary systems with its ability to directly image and characterize planetary-mass companions at wide separations through coronagraphy. Using state-of-the-art simulations of JWST performance, in combination with the latest evolutionary models, we present the most sophisticated simulated mass sensitivity limits of JWST coronagraphy to date. In particular, we focus our efforts towards observations of members within the nearby young moving groups β Pictoris and TW Hya. These limits indicate that whilst JWST will provide little improvement towards imaging exoplanets at short separations, at wide separations the increase in sensitivity is dramatic. We predict JWST will be capable of imaging sub-Jupiter mass objects beyond ∼30 au, sub-Saturn mass objects beyond ∼50 au, and that beyond ∼100 au, JWST will be capable of directly imaging companions as small as 0.1 MJ − at least an order of magnitude improvement over the leading ground-based instruments. Probing this unexplored parameter space will be of immediate value to modelling efforts focused on planetary formation and population synthesis. JWST will also serve as an excellent complement to ground-based observatories through its unique ability to characterize previously detected companions across the near- to mid-infrared for the first time.

GPU Scaling

2014 ◽  
Vol 9 (4) ◽  
pp. 13-23
Author(s):  
Yaser Jararweh ◽  
Moath Jarrah ◽  
Abdelkader Bousselham
Keyword(s):  
High Performance Computing ◽  
High Performance ◽  
Gpu Computing ◽  
State Of The Art ◽  
Computing Systems ◽  
Current State ◽  
Viable Solution ◽  
Order Of Magnitude ◽  
Computational Resources ◽  
Performance Computing

Current state-of-the-art GPU-based systems offer unprecedented performance advantages through accelerating the most compute-intensive portions of applications by an order of magnitude. GPU computing presents a viable solution for the ever-increasing complexities in applications and the growing demands for immense computational resources. In this paper the authors investigate different platforms of GPU-based systems, starting from the Personal Supercomputing (PSC) to cloud-based GPU systems. The authors explore and evaluate the GPU-based platforms and the authors present a comparison discussion against the conventional high performance cluster-based computing systems. The authors' evaluation shows potential advantages of using GPU-based systems for high performance computing applications while meeting different scaling granularities.

scholarly journals Oxygen evolution on well-characterized mass-selected Ru and RuO2nanoparticles

2015 ◽  
Vol 6 (1) ◽  
pp. 190-196 ◽  
Author(s):  
Elisa A. Paoli ◽  
Federico Masini ◽  
Rasmus Frydendal ◽  
Davide Deiana ◽  
Christian Schlaup ◽  
...  
Keyword(s):  
Oxygen Evolution ◽  
State Of The Art ◽  
The State ◽  
Order Of Magnitude ◽  
Magnitude Improvement

Well-defined mass-selected Ru and RuO2nanoparticles exhibit an order of magnitude improvement in the oxygen evolution activity, relative to the state-of-the-art, with a maximum at around 3–5 nm.

GPU Scaling

2016 ◽  
pp. 2373-2384
Author(s):  
Yaser Jararweh ◽  
Moath Jarrah ◽  
Abdelkader Bousselham
Keyword(s):  
High Performance Computing ◽  
High Performance ◽  
Gpu Computing ◽  
State Of The Art ◽  
Computing Systems ◽  
Current State ◽  
Viable Solution ◽  
Order Of Magnitude ◽  
Computational Resources ◽  
Performance Computing

Current state-of-the-art GPU-based systems offer unprecedented performance advantages through accelerating the most compute-intensive portions of applications by an order of magnitude. GPU computing presents a viable solution for the ever-increasing complexities in applications and the growing demands for immense computational resources. In this paper the authors investigate different platforms of GPU-based systems, starting from the Personal Supercomputing (PSC) to cloud-based GPU systems. The authors explore and evaluate the GPU-based platforms and the authors present a comparison discussion against the conventional high performance cluster-based computing systems. The authors' evaluation shows potential advantages of using GPU-based systems for high performance computing applications while meeting different scaling granularities.

A Macintosh Interface for the Cameca Camebax-Micro Electron Microprobe

1990 ◽  
Vol 48 (1) ◽  
pp. 438-439
Author(s):  
Carl E. Henderson
Keyword(s):  
Electron Microprobe ◽  
Processing Speed ◽  
Word Processing ◽  
State Of The Art ◽  
Computer Control ◽  
Third Party ◽  
Disk Storage ◽  
The Past ◽  
User Facility ◽  
Instrument Control

Over the past few years it has become apparent in our multi-user facility that the computer system and software supplied in 1985 with our CAMECA CAMEBAX-MICRO electron microprobe analyzer has the greatest potential for improvement and updating of any component of the instrument. While the standard CAMECA software running on a DEC PDP-11/23+ computer under the RSX-11M operating system can perform almost any task required of the instrument, the commands are not always intuitive and can be difficult to remember for the casual user (of which our laboratory has many). Given the widespread and growing use of other microcomputers (such as PC’s and Macintoshes) by users of the microprobe, the PDP has become the “oddball” and has also fallen behind the state-of-the-art in terms of processing speed and disk storage capabilities. Upgrade paths within products available from DEC are considered to be too expensive for the benefits received. After using a Macintosh for other tasks in the laboratory, such as instrument use and billing records, word processing, and graphics display, its unique and “friendly” user interface suggested an easier-to-use system for computer control of the electron microprobe automation. Specifically a Macintosh IIx was chosen for its capacity for third-party add-on cards used in instrument control.

High-Density Memristor-CMOS Ternary Logic Family

2020 ◽  
Author(s):  
Xiaoyuan Wang ◽  
Pengfei Zhou ◽  
Jason Eshraghian ◽  
Chih-Yang Lin ◽  
Herbert Ho-Ching Iu ◽  
...  
Keyword(s):  
Indium Tin Oxide ◽  
Practical Implementation ◽  
Switching Speed ◽  
High Data ◽  
Fast Switching ◽  
Data Density ◽  
Order Of Magnitude ◽  
High Transconductance ◽  
Logic Functions ◽  
Magnitude Improvement

<div>This paper presents the first experimental demonstration</div><div>of a ternary memristor-CMOS logic family. We systematically</div><div>design, simulate and experimentally verify the primitive</div><div>logic functions: the ternary AND, OR and NOT gates. These are then used to build combinational ternary NAND, NOR, XOR and XNOR gates, as well as data handling ternary MAX and MIN gates. Our simulations are performed using a 50-nm process which are verified with in-house fabricated indium-tin-oxide memristors, optimized for fast switching, high transconductance, and low current leakage. We obtain close to an order of magnitude improvement in data density over conventional CMOS logic, and a reduction of switching speed by a factor of 13 over prior state-of-the-art ternary memristor results. We anticipate extensions of this work can realize practical implementation where high data density is of critical importance.</div>

scholarly journals Inflammation, epigenetics, and metabolism converge to cell senescence and ageing: the regulation and intervention

2021 ◽  
Vol 6 (1) ◽  
Author(s):  
Xudong Zhu ◽  
Zhiyang Chen ◽  
Weiyan Shen ◽  
Gang Huang ◽  
John M. Sedivy ◽  
...  
Keyword(s):  
Cell Fate ◽  
Cellular Response ◽  
State Of The Art ◽  
Cell Senescence ◽  
Therapeutic Interventions ◽  
Cell Fate Decision ◽  
The Past ◽  
Fate Decision ◽  
The Individual ◽  
Remarkable Progress

AbstractRemarkable progress in ageing research has been achieved over the past decades. General perceptions and experimental evidence pinpoint that the decline of physical function often initiates by cell senescence and organ ageing. Epigenetic dynamics and immunometabolic reprogramming link to the alterations of cellular response to intrinsic and extrinsic stimuli, representing current hotspots as they not only (re-)shape the individual cell identity, but also involve in cell fate decision. This review focuses on the present findings and emerging concepts in epigenetic, inflammatory, and metabolic regulations and the consequences of the ageing process. Potential therapeutic interventions targeting cell senescence and regulatory mechanisms, using state-of-the-art techniques are also discussed.

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