Data Accelerated Processing System Thermal Management
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Solution Overview
Problem
Traditional hardware accelerator cards face issues of high thermal energy consumption, low operation efficiency, and lack of flexibility, which hinder their performance in processing large-scale data workloads effectively.
Innovation Solution
A data accelerated processing system is designed with a processing device featuring multiple processors, a storage device, an interface device, and a control device, which includes a power supply and monitoring systems to regulate energy usage and efficiency, and employs specialized processors and DDR SDRAM for improved data processing speed and flexibility.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional hardware accelerator cards (GPU, many-core processor, FPGA) are used to process large-scale data workloads, then processing capability is improved, but thermal energy consumption increases and operation efficiency decreases
Solution Approach 1:
The system divides data processing into multiple pipeline stages (first pipeline stage, second pipeline stage, ..., nth pipeline stage) where each stage performs specific operations. This segmentation allows for more efficient resource utilization and reduced energy consumption per stage while maintaining overall processing capability.
Solution Approach 2:
The processor dynamically adjusts its operation by taking inputs from storage devices, processing through multiple pipeline stages, and writing outputs back to storage. The system adapts its processing flow based on data availability and computational requirements, optimizing energy usage during different operational phases.
2Power
If traditional hardware accelerator cards are used to increase processing power, then compute capability is improved, but operation efficiency decreases
Solution Approach 1:
The system maintains continuous useful action through its multi-stage pipeline architecture where data flows continuously from storage devices through multiple processing stages. Each pipeline stage processes data in sequence without idle time, ensuring continuous productive operation and improved efficiency.
Solution Approach 2:
Data is pre-loaded into storage devices before processing begins, and the pipeline stages are pre-configured for specific computational tasks. This preliminary preparation eliminates setup delays during actual processing, maintaining high operation efficiency throughout the computational workload.
3Speed
If traditional hardware accelerator cards are used to handle data workloads, then processing speed is improved, but flexibility in application decreases
Solution Approach 1:
The processor is designed with multiple pipeline stages that can be configured for different types of data processing operations. The same hardware architecture can handle various computational tasks by adjusting the configuration and data flow through the pipeline stages, providing both speed and flexibility.
Solution Approach 2:
The system dynamically adapts to different application requirements by adjusting which pipeline stages are active and how data flows through the system. This dynamic reconfiguration allows the same hardware to maintain high processing speed across different application types while preserving flexibility.
Data Source
AI summary
Disclosed is a data accelerated processing system including a processing device, a storage device, an interface device and a control device. The processing device is configured to realize accelerated operation processing of data. The storage device is electrically connected to the processing device for storing the data sent by a server. The interface device is electrically connected to the processing device for data transmission between the processing device and the server. The control device is configured to regulate the status of the processing device. During an operation process, a large number of operating tasks in the server may be transmitted to the processing device for operating through the interface device, and large amounts of buffered data may be stored in the storage device. The data accelerated processing system improves data reading speed and operation efficiency through the cooperation of the processing device, the storage device and the interface device.