Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Parallel Processing01:20

Parallel Processing

793
The brain processes sensory information rapidly due to parallel processing, which involves sending data across multiple neural pathways at the same time. This method allows the brain to manage various sensory qualities, such as shapes, colors, movements, and locations, all concurrently. For instance, when observing a forest landscape, the brain simultaneously processes the movement of leaves, the shapes of trees, the depth between them, and the various shades of green. This enables a quick and...
793
Optimization Problems01:26

Optimization Problems

89
Optimization problems often involve identifying maximum or minimum values under specific constraints. A well-known example is determining the longest horizontal pipe that can be moved around a right-angled corner, where a 3-meter-wide hallway meets a 2-meter-wide hallway. This scenario, common in architectural design and industrial transport, can be understood conceptually through geometric and trigonometric reasoning.To visualize the problem, consider the pipe as a straight line that touches...
89
Ampere-Maxwell's Law: Problem-Solving01:17

Ampere-Maxwell's Law: Problem-Solving

1.2K
A parallel-plate capacitor with capacitance C, whose plates have area A and separation distance d, is connected to a resistor R and a battery of voltage V. The current starts to flow at t = 0. What is the displacement current between the capacitor plates at time t? From the properties of the capacitor, what is the corresponding real current?
To solve the problem, we can use the equations from the analysis of an RC circuit and Maxwell's version of Ampère's law.
For the first part of the...
1.2K
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

360
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
360
Multimachine Stability01:25

Multimachine Stability

589
Multimachine stability analysis is crucial for understanding the dynamics and stability of power systems with multiple synchronous machines. The objective is to solve the swing equations for a network of M machines connected to an N-bus power system.
In analyzing the system, the nodal equations represent the relationship between bus voltages, machine voltages, and machine currents. The nodal equation is given by:
589
Area Computation by the Alternative Coordinate Method01:24

Area Computation by the Alternative Coordinate Method

685
The alternative coordinate method, also known as the Shoelace Formula, is a technique for determining the area of a traverse using Cartesian coordinates. This method relies on the sequential arrangement of x and y coordinates for each point of the shape, ensuring accuracy and ease of application.In this approach, each corner's x and y coordinates are listed as fractions, with the x-coordinate as the numerator and the y-coordinate as the denominator. These coordinates are arranged sequentially...
685

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

EyeRAG: graph retrieval-augmented generation for safe and accurate clinical dialogue in ophthalmology.

NPJ digital medicine·2026
Same author

Efficacy and safety of doravirine/lamivudine/tenofovir as initial treatment for people living with HIV in China.

Antimicrobial agents and chemotherapy·2026
Same author

Rational Dual-Site Doping of the Hematite Photoanode Unlocks Efficient Solar Water Splitting.

ACS applied materials & interfaces·2026
Same author

Task-oriented visual SLAM: a comprehensive map classification framework for dynamic indoor robot manipulation.

Scientific reports·2026
Same author

The safety and tolerability of oral TDF/FTC as pre-exposure prophylaxis among men who have sex with men in China: a prospective cohort study.

BMC infectious diseases·2026
Same author

Relationship between time management disposition and academic procrastination among Chinese students: Systematic review and meta analysis.

Acta psychologica·2026
Same journal

Pyrolysis temperature shapes the structure and filtration capacity of spent-coffee-ground biochar for 1-ÎĽm microplastics and bacteria removal from wastewater.

Water science and technology : a journal of the International Association on Water Pollution Research·2026
Same journal

Effect of cooling and cover material on the performance of a solar humidification-dehumidification system used for brine concentration.

Water science and technology : a journal of the International Association on Water Pollution Research·2026
Same journal

Comparative multi-criteria assessment of decentralized wastewater treatment technologies for coastal tourist communities and island slaughterhouses: a design framework with uncertainty analysis for Latin America.

Water science and technology : a journal of the International Association on Water Pollution Research·2026
Same journal

An improved relative frequency method for flood season partitioning.

Water science and technology : a journal of the International Association on Water Pollution Research·2026
Same journal

Drivers of wastewater dynamics: a statistical analysis of England's large wastewater treatment works.

Water science and technology : a journal of the International Association on Water Pollution Research·2026
Same journal

A review on modification of piezoelectric materials for wastewater treatment: mechanisms, applications, and future perspectives.

Water science and technology : a journal of the International Association on Water Pollution Research·2026
See all related articles

Related Experiment Video

Updated: Feb 21, 2026

Design and Optimization Strategies of a High-Performance Vented Box
14:23

Design and Optimization Strategies of a High-Performance Vented Box

Published on: June 9, 2023

1.7K

A heterogeneous computing accelerated SCE-UA global optimization method using OpenMP, OpenCL, CUDA, and OpenACC.

Guangyuan Kan1, Xiaoyan He2, Liuqian Ding2

  • 1State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, Research Center on Flood & Drought Disaster Reduction of the Ministry of Water Resources, China Institute of Water Resources and Hydropower Research, Beijing 100038, China E-mail: kanguangyuan@126.com; State Key Laboratory of Hydroscience and Engineering, Department of Hydraulic Engineering, Tsinghua University, Beijing 100084, China.

Water Science and Technology : a Journal of the International Association on Water Pollution Research
|October 10, 2017
PubMed
Summary
This summary is machine-generated.

The shuffled complex evolution (SCE-UA) optimization algorithm is now faster. Parallelization using heterogeneous computing significantly boosts its computational efficiency for scientific and engineering tasks.

More Related Videos

Computation of Atmospheric Concentrations of Molecular Clusters from ab initio Thermochemistry
12:11

Computation of Atmospheric Concentrations of Molecular Clusters from ab initio Thermochemistry

Published on: April 8, 2020

8.8K
Generation of Heterogeneous Drug Gradients Across Cancer Populations on a Microfluidic Evolution Accelerator for Real-Time Observation
10:24

Generation of Heterogeneous Drug Gradients Across Cancer Populations on a Microfluidic Evolution Accelerator for Real-Time Observation

Published on: September 19, 2019

6.8K

Related Experiment Videos

Last Updated: Feb 21, 2026

Design and Optimization Strategies of a High-Performance Vented Box
14:23

Design and Optimization Strategies of a High-Performance Vented Box

Published on: June 9, 2023

1.7K
Computation of Atmospheric Concentrations of Molecular Clusters from ab initio Thermochemistry
12:11

Computation of Atmospheric Concentrations of Molecular Clusters from ab initio Thermochemistry

Published on: April 8, 2020

8.8K
Generation of Heterogeneous Drug Gradients Across Cancer Populations on a Microfluidic Evolution Accelerator for Real-Time Observation
10:24

Generation of Heterogeneous Drug Gradients Across Cancer Populations on a Microfluidic Evolution Accelerator for Real-Time Observation

Published on: September 19, 2019

6.8K

Area of Science:

  • Computational Science
  • Optimization Algorithms
  • Heterogeneous Computing

Background:

  • The Shuffled Complex Evolution (SCE-UA) algorithm is a robust optimization method widely used in science and engineering.
  • Despite its strengths in global optimality and convergence, SCE-UA suffers from poor computational efficiency in practical applications.

Purpose of the Study:

  • To enhance the computational efficiency of the SCE-UA algorithm.
  • To leverage heterogeneous computing technologies for parallelizing and accelerating SCE-UA.

Main Methods:

  • Parallel implementation of SCE-UA on Intel Xeon multi-core CPUs using OpenMP and OpenCL.
  • Parallel implementation of SCE-UA on NVIDIA Tesla GPUs using OpenCL, CUDA, and OpenACC.
  • Performance evaluation using the Griewank benchmark function.

Main Results:

  • Parallel SCE-UA demonstrated significant computational efficiency improvements over the serial version.
  • OpenCL implementation achieved the best acceleration, albeit with increased code complexity.
  • Heterogeneous computing effectively addresses SCE-UA's computational limitations.

Conclusions:

  • Parallelized SCE-UA offers a viable solution to overcome the computational bottlenecks of the original algorithm.
  • Heterogeneous computing platforms are effective for accelerating complex optimization tasks.
  • The enhanced SCE-UA shows promise for real-world scientific and engineering applications.