Parallel Processing Controller for Program Context Allocation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current parallel processing technologies face challenges in efficiently distributing and managing data across multiple resources, particularly in controlling data storage and processing workflows, leading to suboptimal performance in complex simulations and computations.
Innovation Solution
The implementation of a system that analyzes programs to determine inner and outer contexts, allocates program portions to multiple labs for parallel execution, and manages data transfer rules to optimize parallel processing across hardware and software units, utilizing technical computing environments and parallel processing interfaces to enhance resource allocation and data management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If parallel processing constructs are used to distribute computations across multiple processors, then productivity is improved, but device complexity increases due to the need for controller coordination and data management
Solution Approach 1:
The patent introduces a controller as an intermediary component that coordinates between the host computer and multiple parallel processors. The controller manages data distribution, processor assignment, and result collection, thereby enabling parallel processing productivity gains while abstracting the complexity from the overall system architecture.
2Productivity
If data is distributed across multiple parallel processors, then productivity is improved, but loss of information increases due to challenges in controlling data storage and transfer
Solution Approach 1:
The controller implements feedback mechanisms to track data distribution across parallel processors, monitor processing status, and ensure data integrity. This feedback loop enables the system to detect and correct potential data loss or corruption, maintaining information accuracy while achieving parallel processing throughput.
3Ease of operation
If parallel processing language constructs provide lexical context in a single process, then ease of operation is improved, but productivity is reduced due to limitations in distributed processing control
Solution Approach 1:
The patent segments the parallel processing system into distinct functional components: a host computer for high-level program definition, a controller for coordination and data management, and multiple parallel processors for execution. This segmentation allows programmers to work with simplified lexical context at the host level while the controller handles the complexity of distributed processing control, thereby maintaining both ease of operation and productivity.
Data Source
AI summary
A computing device-implemented method includes receiving a program, analyzing and transforming the program, determining an inner context and an outer context of the program based on the analysis of the program, and allocating one or more portions of the inner context of the program to two or more labs for parallel execution. The method also includes receiving one or more results associated with the parallel execution of the one or more portions from the two or more labs, and providing the one or more results to the outer context of the program.