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56181

Published
**1993** by Cornell University, National Aeronautics and Space Administration, National Technical Information Service, distributor in Ithaca, N.Y, [Washington, DC, Springfield, Va .

Written in English

Read online- Trajectory optimization.,
- Parallel processing (Electronic computers)

**Edition Notes**

Other titles | Real time trajectory optimization on parallel processors. |

Statement | prepared by Mark L. Psiaki; principal investigator. |

Series | [NASA contractor report] -- NASA CR-193303. |

Contributions | United States. National Aeronautics and Space Administration. |

The Physical Object | |
---|---|

Format | Microform |

Pagination | 1 v. |

ID Numbers | |

Open Library | OL14699046M |

**Download Real-time trajectory optimization on parallel processors**

U "v Real-Time Trajectory Optimization on Parallel Processors (NASA Research Grant NAG) Final Report J Prepared by Mark L. Psiaki. Get this from a library. Real-time trajectory optimization on parallel processors: final report.

[Mark Lockwood Psiaki; United States. National Aeronautics and Space Administration.]. A key algorithmic element of a real-time trajectory optimization hardware/software implementation is presented, the search step solver. This is one piece of an algorithm whose overall goal is to make nonlinear trajectory optimization fast enough to provide real-time commands during guidance of a vehicle such as an aeromaneuvering orbiter or the National Cited by: The chapters of Spacecraft Trajectory Optimization are an exhibit of the current state of the art for a variety of approaches to trajectory optimization.

While this is not an end-all, be-all book on the topic, it does an excellent job at explaining the different by: Request PDF | Performance of Parallel Shooting Method for Closed Loop Guidance of an Optimal Launch Vehicle Trajectory | The objective of this paper is.

The computing performance demands of modern real-time signal processing and control applications are increasing rapidly. The use of multiple processors operating in parallel allows several instructions to be dealt with simultaneously, so the requirement for "real-time" is now much easier to by: The concept is evaluated on the simulation of real-time trajectory planning of aircraft respecting the environment and real aircraft performance models.

We show that the approach decreases the planning time significantly on common multi-core machines preserving the quality of the trajectory provided by AA* by: 3. In [54], Tan et al. propose a parallel implementation and optimization method for real-time video dehazing based on a single image dehazing algorithm.

The limitation of this method is that it. Real-Time Scheduling for Parallel Task Models on Multi-core Processors - A critical review" Mahesh Lokhande1, 2Mohd. Atique Research Scholar, Dept. of CS and Engineering, PIET, Nagpur, India1 Associate Professor, Dept.

of CS, SGBAU, Amravati, India2 Abstract Multi-core processor technology has been enhancedFile Size: KB.

Abstract. In this paper we discuss the resolution of the generalized Sylvester matrix equation AXB + CXD = E, where A, C ∈ R m xm, B, D ∈ R m xm, E ∈ R m xn, and the unknown X is m × equation is related to different topics in Control Theory and Linear Algebra: perturbation analysis of the generalized eigenvalue problem (Stewart-Sun [19]), solution of implicit linear differential.

An Approach for Multi-Core Real Time Parallel Processing Shyamal G. Mundada multi-core processors can achieve significant real-time performance improvement over traditional single-core optimization criteria [11]–[13].Hard real-time scheduling. block parallel programming for real-time applications on multi-core processors a dissertation submitted to the department of electrical engineering and the committee on graduate studies of stanford university in partial fulfillment of the requirements for the degree of doctor of philosophy david black-scha er april Perfonnance studies of parallel real-time controllers, Proceedings IFAC workshop on Algorithms and Architectures for Real-time Control, Bangor, UK, Stone, H.

High performance computer architecture, Addison Wesley, : M.O. Tokhi, M.A. Hossain. 1 Real-Time Optimization of Dam Releases Using Multiple Objectives. Application to the Orange-Fish-Sundays River Basin, South Africa C.

Pedersen, H. Madsen, C. Skotner1 1Water Resources Department, DHI Water • Environment • Health, Agern Allé 5, DK Hørsholm, Denmark Abstract. Abstraction enables portability and system optimization –E.g., dynamic load balancing, producer-consumer, SIMD utilization • Lack of abstraction enables arch-specific user optimization –E.g., multiple execution contexts jointly building on-chip data structure • Remember: –When a parallel programming model abstracts a HW resource, code File Size: 1MB.

problem in terms of numerical optimization makes sense. Learning and optimization have already produced very impressive control systems.

The advent of massively parallel processors makes it possible to re-optimize control systems in real time – which may turn out to be the only way to solve really hard control problems. Research on Parallel Real-time Scheduling Algorithm of Hybrid Parameter Tasks on Multi-core Platform Benhai zhou1, Because of the advantage of multi-core processors, the research of real time system this paper proposes a new multi-core parallel real time scheduling algorithm which extends the Pfair scheduling method.

for real-time denoising on the streaming video. Thus, it is an easy implementation to begin with and can be expanded from the image denoising [5].

In the real-time parallel computation, the following challenges are commonly encountered Real-time streaming data By working with streaming and real-time data, we have to. ample, it is not possible to schedule two parallel tasks of weight 1/2 together with a task of weight 3/4 on two processors without missing a deadline.

Additionally, we have shown that the general problem of optimizing for parallelism while respecting real-time constraints (not surprisingly) is NP-hard in the strong sense.

This four volume set LNCS, and constitutes the refereed proceedings of the 15th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PPheld in Zhangjiajie, China, in November The revised full papers presented together with A SQP Algorithm for Large-Scale Constrained Optimization: SNOPT.

Real-Time Trajectory and Attitude Coordination Control for Reusable Launch Vehicle in Reentry Phase. Solving difficult mixed integer and disjunctive non-linear problems on single and parallel processors.

Applied Soft Comput Cited by: With the efficient parallel solver, the solution time of one optimization problem is reduced from min to min, allowing for real-time application. Representing the uncertainties with a set of scenarios, the optimization problem resulting from a robust nonlinear model predictive control (NMPC) strategy at each sampling instance can be Cited by: 4.

GPU-SHOT: parallel optimization for real-time 3D local description Daniele Palossia,b,∗ Federico Tombarib,† Samuele Saltib,† Martino Ruggieroa,† Luigi Di Stefanob,† Luca Beninia,† aDEI, University of Bologna bDISI - University of Bologna Bologna, Italy ∗[email protected] †[email protected] Abstract The ﬁelds of 3D computer vision, 3D robotic perception.

Real-Time Process Optimization Help y our back office employees know the next best action in real-time. Your back office employees are required to master a complex desktop environment and work through complicated processes on a daily basis.

Director, The Parallel Computing Research Laboratory Pardee Professor of Computer Science, U.C. Berkeley Co-author of Computer Architecture: A Quantitative Approach Written by two teaching pioneers, this book is the definitive practical refer-ence on programming massively parallel processors—a true technological gold mine.

Route optimization can be achieved using metaheuristics; ACO is one of the many available algorithms used to optimize routing time; numerous studies on hole drilling optimization do not consider the treatment of the problem using Parallel Ant Colony Optimization (P-ACO).

Ant Colony Optimization (ACO) was introduced by Marco Dorigo [,34 Cited by: We introduce a new asynchronous parallel pattern search (APPS).

Parallel pattern search can be quite useful for engineering optimization problems characterized by a small number of variables (say, fifty or less) and by objective functions that are expensive to evaluate, such as those defined by complex simulations that can take anywhere from a few seconds to many Cited by: Texture optimization is a texture synthesis method that can efficiently reproduce various features of exemplar textures.

However, its slow synthesis speed limits its usage in many interactive or real time applications. In this paper, we propose a parallel texture optimization algorithm to run on GPUs. In our algorithm, k-coherence search and principle component analysis (PCA) [ ]Cited by: Multicore scheduling of parallel real-time tasks with multiple parallelization options this is the first work addressing the problem of scheduling real-time tasks with multiple parallelization options on multiple CPU cores.

Published in: 21st IEEE Real-Time and Embedded Technology and Applications Symposium. under hard real-time constraints. While verifying the timing properties of a more traditional (e.g. embedded) real-time system poses complex questions in its own right, imposing real-time constraints on a parallel (cluster) computing environment introduces an entirely new set of challenges not seen in these more traditional environments.

tation power of multicore processors. One of the main challenges for such systems is to maximize the utilization of the parallel multicore architecture while meeting the real-time deadlines of the application tasks.

Sequential programming has been the primary paradigm to implement real-time tasks on uni- and multicore platforms [1]. Define real-time. real-time synonyms, real-time pronunciation, real-time translation, English dictionary definition of real-time.

The actual time in which a physical process under computer study or control occurs. Programming Massively Parallel Processors: A Hands-on Approach shows both student and professional alike the basic concepts of parallel programming and GPU architecture. Various techniques for constructing parallel programs are explored in detail.

Parallel Real-Time Systems Parallel Computing Overview 2 References the processors to increase. • Moore’s law is sometimes stated: “The programming is not really data parallel execution, as processors typically execute different sections of the program concurrently.

The three volume set LNAILNAIand LNAI constitutes the refereed proceedings of the 10th International Conference on Intelligent Robotics and Applications, ICIRAheld in Wuhan, China, in August The papers presented in the three volumes were carefully reviewed and selected from submissions.

Efﬁcient Parallel Multi-Objective Optimization for Real-time Systems Software Design Exploration Rahma Bouaziz, Laurent Lemarchand y, Frank Singhoff, Bechir Zalila, Mohamed Jmaielz ReDCAD Laboratory, University of Sfax, ENIS, B.P.Sfax, Tunisia.

A Fixed-Priority Scheduling Algorithm for Multiprocessor Real-Time Systems, Parallel and Distributed Computing, Alberto Ros, IntechOpen, DOI: / Available from: Shinpei Kato (January 1st ).Cited by: 3.

Boguslaw Rymut and Bogdan Kwolek, Parallel Appearance-Adaptive Models for Real-Time Object Tracking Using Particle Swarm Optimization, Computational Collective Intelligence.

Technologies and Applications, /_46, (), ().Cited by: computers. For example, on a parallel computer, the operations in a parallel algorithm can be per-formed simultaneously by diﬀerent processors. Furthermore, even on a single-processor computer the parallelism in an algorithm can be exploited by using multiple functional units, pipelined func-tional units, or pipelined memory systems.

EDA/DIT - Parallel and Distributed Real-Time Systems, Chalmers/GU, / Lecture #8 Updated Ap 5 Underlying causes: τ • Dhall’s effect: – With RM, DM and EDF, some low-utilization task sets can be unschedulable regardless of how many processors are used.

• Dependence on relative priority ordering. Scheduling of Parallel Real-time DAG Tasks on Multiprocessor Systems platform of n processors S(n) = T S=TM is the speedup factor for an application run on n processors. 3Lakshmanan et al.“Scheduling Parallel Real-Time Tasks on .Depending on whether you create your variable x with rArray(N) or Array(N,), a variable x[i] is constraint to be either in {0,1} (only values 0 and 1 are allowed) or in [0,1] (all values between zero and one are allowed).The organizers of the Twelfth International Workshop on Parallel and Distributed Real-Time Systems are pleased to announce an award for the best paper submitted to this year's workshop.

The award is presented to Jeffery Hansen, Sourav Ghosh, Ragunathan Rajkumar and John Lehoczky, for the paper titled "Resource Management of Highly Configurable.