FPGA Network Card Full-Stack Task Offloading via Dynamic PR
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current FPGA network cards lack full-stack capability and systematic integration, leading to insufficient offloading of computation-intensive tasks and inability to handle self-defined original application data effectively.
Innovation Solution
A method and system for processing full-stack network card tasks based on FPGA, which involves receiving data, offloading TCP/IP and SSL/TLS protocol tasks, and dynamically configuring a Partial Reconfiguration (PR) region to process computation-intensive tasks, thereby maximizing resource utilization and flexibility.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If dedicated hardware circuits are configured to implement protocol tasks, then CPU computation capability is released and cross-regional I/O operations are avoided, but full-stack capability and systematic integration are insufficient
Solution Approach 1:
The patent segments the network card functionality into multiple protocol layers (physical layer, data link layer, network layer, transport layer, and application layer), with each layer implemented as independent hardware modules. This segmentation enables comprehensive full-stack task offloading while maintaining systematic integration, as each layer can be independently configured and optimized for specific protocols and applications.
2Productivity
If standard protocols are used for data processing, then processing efficiency is improved, but flexibility to handle self-defined original application data is limited
Solution Approach 1:
The patent implements dynamically reconfigurable hardware modules at the application layer that can be programmatically configured to handle various data types and processing requirements. This dynamic configuration capability allows the system to adapt to self-defined original application data while maintaining high processing efficiency through hardware acceleration, resolving the contradiction between efficiency and flexibility.
3Adaptability or versatility
If computation-intensive tasks are processed by software, then full-stack processing is achieved, but CPU resources are consumed and energy efficiency is reduced
Solution Approach 1:
The patent replaces software-based computation with hardware-based processing across all protocol layers. By implementing application-layer processing in hardware rather than software, the system achieves full-stack processing capability while significantly reducing CPU consumption and energy usage, as hardware operations are more energy-efficient for computation-intensive tasks.
4Stability of the object's composition
If fixed hardware configuration is used, then system stability is maintained, but resource utilization rate and flexibility are reduced
Solution Approach 1:
The patent employs dynamically reconfigurable hardware modules that can be programmed and adjusted based on specific application requirements. This dynamic configuration capability allows the system to optimize resource utilization for different workloads while maintaining stability through controlled reconfiguration processes and persistent baseline configurations, effectively resolving the contradiction between stability and resource utilization.
Data Source
AI summary
The present disclosure relates to data processing, and in particular, to a system for processing a full-stack network card task based on FPGA. The system includes: a network interface controller, configured to receive to-be-processed data, and offload a TCP/IP task from the to-be-processed data by a built-in TCP offload engine, to obtain first processed data; an SSL/TLS protocol processing module, configured to receive the first processed data, and offload an SSL/TLS protocol task from the first processed data, to obtain second processed data; a PR region, configured to receive the second processed data; and a reconfiguration module, configured to acquire, by a host, dynamic configuration information of the PR region, and configure the PR region based on the dynamic configuration information, so that the PR region offloads and processes computation-intensive tasks in the second processed data.