수학과 최적화
선형 대수 및 최적화 문제 해결을 가속화하기 위해 병렬 연산을 활용합니다. 여기에는 선형 시스템을 푸는 것과 선형, 2차, 원뿔, 정수 및 비선형 최적화 문제를 푸는 것, 그리고 다중 최댓값 또는 최솟값을 갖는 문제에서 전역 해를 탐색하는 것이 포함됩니다.
도움말 항목
선형대수학
- Accelerate Solving Linear Equations Using GPU
This example shows how to speed up solving systems of linear equations using a GPU. - GPU에서 희소 형식 배열 사용하기
GPU에서 희소 배열을 사용하는 조건에 대해 배웁니다. - Use Distributed Arrays to Solve Systems of Linear Equations with Direct Methods
This example shows how to solve a system of linear equations of the form in parallel with a direct method using distributed arrays. - Use Distributed Arrays to Solve Systems of Linear Equations with Iterative Methods
For large-scale mathematical computations, iterative methods can be more efficient than direct methods.
최적화
- What Is Parallel Computing in Optimization Toolbox? (Optimization Toolbox)
Use multiple processors for optimization. - Using Parallel Computing in Optimization Toolbox (Optimization Toolbox)
Perform gradient estimation in parallel. - Improving Performance with Parallel Computing (Optimization Toolbox)
Investigate factors for speeding optimizations.
전역 최적화
- How Solvers Compute in Parallel (Global Optimization Toolbox)
Learn how solvers distribute work for parallel computing. - How to Use Parallel Processing in Global Optimization Toolbox (Global Optimization Toolbox)
Direct a solver or hybrid function to use multiple processes. - Optimize ODEs in Parallel (Global Optimization Toolbox)
Save time by calling an expensive subroutine just once and computing an ODE solution in parallel usingpatternsearchorga.
관련 정보
- 자동 병렬 연산을 지원하는 함수 (Optimization Toolbox)
- 자동 병렬 연산을 지원하는 함수 (Global Optimization Toolbox)
추천 예제
Solve Differential Equation Using Multigrid Preconditioner on Distributed Discretization
Solve Poisson's equation using a preconditioned iterative solver and distributed arrays. By using distributed arrays, you can scale up the calculation using the memory of a cluster of machines, not just the memory of a single machine. You can scale up without changing your code.
Optimize Simulink Model in Parallel
Optimize a Simulink® model in parallel using several Global Optimization Toolbox solvers.
Minimizing an Expensive Optimization Problem Using Parallel Computing Toolbox
Explore the effectiveness of parallel computing using two solvers:
fmincon and ga.
Monitor During Parallel Optimizations with parfor
Run multiple optimization problems in parallel using parfor, while monitoring
solver progress in real time on the client using a
DataQueue.
Objective and Constraints Having a Common Function in Serial or Parallel, Problem-Based
Save time when the objective and nonlinear constraint functions share common computations in the problem-based approach.
