2,480 research outputs found
CSM Testbed Development and Large-Scale Structural Applications
A research activity called Computational Structural Mechanics (CSM) conducted at the NASA Langley Research Center is described. This activity is developing advanced structural analysis and computational methods that exploit high-performance computers. Methods are developed in the framework of the CSM Testbed software system and applied to representative complex structural analysis problems from the aerospace industry. An overview of the CSM Testbed methods development environment is presented and some new numerical methods developed on a CRAY-2 are described. Selected application studies performed on the NAS CRAY-2 are also summarized
A computer architecture for intelligent machines
The Theory of Intelligent Machines proposes a hierarchical organization for the functions of an autonomous robot based on the Principle of Increasing Precision With Decreasing Intelligence. An analytic formulation of this theory using information-theoretic measures of uncertainty for each level of the intelligent machine has been developed in recent years. A computer architecture that implements the lower two levels of the intelligent machine is presented. The architecture supports an event-driven programming paradigm that is independent of the underlying computer architecture and operating system. Details of Execution Level controllers for motion and vision systems are addressed, as well as the Petri net transducer software used to implement Coordination Level functions. Extensions to UNIX and VxWorks operating systems which enable the development of a heterogeneous, distributed application are described. A case study illustrates how this computer architecture integrates real-time and higher-level control of manipulator and vision systems
Computational Explorations in Biomedicine: Unraveling Molecular Dynamics for Cancer, Drug Delivery, and Biomolecular Insights using LAMMPS Simulations
With the rapid advancement of computational techniques, Molecular Dynamics
(MD) simulations have emerged as powerful tools in biomedical research,
enabling in-depth investigations of biological systems at the atomic level.
Among the diverse range of simulation software available, LAMMPS (Large-scale
Atomic/Molecular Massively Parallel Simulator) has gained significant
recognition for its versatility, scalability, and extensive range of
functionalities. This literature review aims to provide a comprehensive
overview of the utilization of LAMMPS in the field of biomedical applications.
This review begins by outlining the fundamental principles of MD simulations
and highlighting the unique features of LAMMPS that make it suitable for
biomedical research. Subsequently, a survey of the literature is conducted to
identify key studies that have employed LAMMPS in various biomedical contexts,
such as protein folding, drug design, biomaterials, and cellular processes. The
reviewed studies demonstrate the remarkable contributions of LAMMPS in
understanding the behavior of biological macromolecules, investigating
drug-protein interactions, elucidating the mechanical properties of
biomaterials, and studying cellular processes at the molecular level.
Additionally, this review explores the integration of LAMMPS with other
computational tools and experimental techniques, showcasing its potential for
synergistic investigations that bridge the gap between theory and experiment.
Moreover, this review discusses the challenges and limitations associated with
using LAMMPS in biomedical simulations, including the parameterization of force
fields, system size limitations, and computational efficiency. Strategies
employed by researchers to mitigate these challenges are presented, along with
potential future directions for enhancing LAMMPS capabilities in the biomedical
field.Comment: 39 pages- 10 figure
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The Inter-cloud meta-scheduling
Inter-cloud is a recently emerging approach that expands cloud elasticity. By facilitating an adaptable setting, it purposes at the realization of a scalable resource provisioning that enables a diversity of cloud user requirements to be handled efficiently. This studyâs contribution is in the inter-cloud performance optimization of job executions using metascheduling concepts. This includes the development of the inter-cloud meta-scheduling (ICMS) framework, the ICMS optimal schemes and the SimIC toolkit. The ICMS model is an architectural strategy for managing and scheduling user services in virtualized dynamically inter-linked clouds. This is achieved by the development of a model that includes a set of algorithms, namely the Service-Request, Service-Distribution, Service-Availability and Service-Allocation algorithms. These along with resource management optimal schemes offer the novel functionalities of the ICMS where the message exchanging implements the job distributions method, the VM deployment offers the VM management features and the local resource management system details the management of the local cloud schedulers. The generated system offers great flexibility by facilitating a lightweight resource management methodology while at the same time handling the heterogeneity of different clouds through advanced service level agreement coordination. Experimental results are productive as the proposed ICMS model achieves enhancement of the performance of service distribution for a variety of criteria such as service execution times, makespan, turnaround times, utilization levels and energy consumption rates for various inter-cloud entities, e.g. users, hosts and VMs. For example, ICMS optimizes the performance of a non-meta-brokering inter-cloud by 3%, while ICMS with full optimal schemes achieves 9% optimization for the same configurations. The whole experimental platform is implemented into the inter-cloud Simulation toolkit (SimIC) developed by the author, which is a discrete event simulation framework
Large-scale structural analysis: The structural analyst, the CSM Testbed and the NAS System
The Computational Structural Mechanics (CSM) activity is developing advanced structural analysis and computational methods that exploit high-performance computers. Methods are developed in the framework of the CSM testbed software system and applied to representative complex structural analysis problems from the aerospace industry. An overview of the CSM testbed methods development environment is presented and some numerical methods developed on a CRAY-2 are described. Selected application studies performed on the NAS CRAY-2 are also summarized
Design, Construction and Validation of a New Generation of Bioreactors for Tissue Engineering Applications.
132 p.The thesis reports on the design, fabrication and validation of a new generation of bioreactors for cell culture stimulation, in order to improve cell proliferation in advanced tissue engineering strategies. Bioreactors are developed to take advantage of responsive materials allowing to mimic cell microenvironments, resembling some of the most common physical stimuli within the human body. Some stimuli can be produced by polymer-based scaffolds such as magnetoelectric, which can work as mechanical and electrical actuators.Two types of bioreactors were developed: one for bone tissue engineering through magnetoelectric stimulation (through mechanical vibration and piezoelectricity) and another for muscle tissue engineering through mechanical stretching and controlled current impulses.This project encompasses several fields of engineering such as device engineering, design, mechanics and electronics, having also into account proper material selection and the final biomedical application
A novel highly efficient Lagrangian model for massively multidomain simulations: parallel context
A new method for the simulation of evolving multi-domains problems has been
introduced in a previous work (RealIMotion), Florez et al. (2020). In this
article further developments of the model will be presented. The main focus
here is a robust parallel implementation using a distributed-memory approach
with the Message Passing Interface (MPI) library OpenMPI. The original 2D
sequential methodology consists in a modified front-tracking approach where the
main originality is that not only interfaces between domains are discretized
but their interiors are also meshed. The interfaces are tracked based on the
topological degree of each node on the mesh and the remeshing and topological
changes of the domains are driven by selective local operations performed over
an element patch. The accuracy and the performance of the sequential method has
proven very promising in Florez et al. (2020). In this article a parallel
implementation will be discussed and tested in context of motion by curvature
flow for polycrystals, i.e. by considering Grain Growth (GG) mechanism. Results
of the performance of the model are given and comparisons with other approaches
in the literature are discussed
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