Accelerator Deployment Tool for Programmable Devices
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Solution Overview
Problem
Existing computer systems face inefficiencies in deploying hardware accelerators due to the manual process of determining resource requirements and matching them with programmable devices, leading to suboptimal performance and resource utilization.
Innovation Solution
An accelerator deployment tool that automatically determines resource requirements, compares them to feature sets of programmable devices, selects suitable devices, and deploys accelerator images, enabling dynamic generation and deployment of accelerators to improve run-time performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual process is used to determine resource requirements and match programmable devices, then deployment flexibility is maintained, but deployment efficiency and productivity are reduced
Solution Approach 1:
The system enables self-service by automatically determining resource requirements, comparing them with available programmable devices, and selecting optimal devices without manual intervention. The accelerator deployment tool autonomously performs the entire deployment process from resource analysis to device selection and image deployment.
Solution Approach 2:
The manual mechanical process of accelerator deployment is replaced with an automated software-based system. The accelerator deployment tool uses computational algorithms to analyze resource requirements, compare device features, and make deployment decisions, substituting human manual operations with automated electronic processing.
2Productivity
If automated deployment is implemented, then deployment efficiency is improved, but system complexity increases
Solution Approach 1:
The accelerator deployment tool is designed as a universal system that handles multiple functions within a single integrated platform: determining resource requirements, analyzing programmable device features, comparing specifications, selecting optimal devices, and deploying accelerator images. This multi-functionality reduces the need for multiple separate tools and processes.
Solution Approach 2:
The system performs preliminary actions by pre-determining resource requirements and pre-analyzing programmable device features before the actual deployment decision is made. This advance preparation enables faster deployment execution and reduces complexity during the critical deployment phase.
3Measurement precision
If feature sets are compared against resource requirements, then matching accuracy is improved, but processing time increases
Solution Approach 1:
The system applies partial comparison by focusing on critical resource requirements and key device features rather than exhaustively comparing all possible parameters. This selective approach maintains high matching accuracy for essential criteria while reducing overall processing time by excluding less critical comparisons.
Data Source
AI summary
An accelerator deployment tool determines resource requirements for one or more accelerator images, determines feature sets of a plurality of programmable devices, compares the resource requirements to the feature sets, determines whether the feature sets satisfy the resource requirements, and when the feature sets satisfy the resource requirements, selects one or more of the plurality of programmable devices that has a feature set that satisfies the resource requirements, and deploys the accelerator image(s) to the selected programmable device(s) to provide one or more accelerators corresponding to the accelerator image(s). A call can then be made to the one or more accelerators. The accelerator deployment tool thus automatically selects one or more programmable devices based on their feature sets and can automatically deploy one or more accelerator images to the one or more programmable devices.