FPGA Matrix Architecture for Ultra-Low Latency Market Data Processing
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Solution Overview
Problem
Conventional approaches for processing high-volume market data feeds fail to achieve the lowest latency due to 'bursty' data patterns, microbursts, memory bottlenecks, OS overhead, and poor parallelism, and are not easily scalable or reconfigurable.
Innovation Solution
A high-volume data feed handler is designed using a matrix of field programmable gate arrays (FPGA) with low-latency connections and deterministic execution, allowing for synchronized processing across nodes, enabling efficient handling of various data formats and scalable architecture.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional CPU architectures with hardware acceleration are used to process market data feeds, then processing capability is improved, but latency cannot be reduced to the lowest level and the system is not easily scalable or reconfigurable
Solution Approach 1:
The patent replaces conventional CPU-based processing with FPGA-based processing. FPGAs are reconfigurable hardware devices that can be programmed to perform specific data processing tasks in parallel, eliminating the sequential execution limitations of CPUs and achieving ultra-low latency processing of market data feeds
Solution Approach 2:
The patent utilizes the reconfigurable nature of FPGAs to dynamically adapt the processing architecture to different data formats and processing requirements. The system can be reprogrammed to handle various market data formats and processing algorithms, providing both high performance and flexibility
2Loss of time
If conventional CPU systems with co-processing are used, then some latency reduction is achieved, but the architecture is not easily scalable and fails to address microbursts effectively
Solution Approach 1:
The patent divides the processing system into multiple parallel FPGA processing elements that can independently handle different portions of the data stream. This segmentation enables the system to scale by adding more processing elements and to effectively handle microbursts through parallel processing capacity
Solution Approach 2:
The FPGA-based architecture provides universal processing capability that can be configured to handle various data formats, processing algorithms, and traffic patterns. The same hardware platform can be reprogrammed to adapt to different market data requirements, providing both scalability and reconfigurability
3Speed
If hardware acceleration components are added to commodity servers, then processing speed is improved, but memory bottlenecks and OS overhead still affect performance
Solution Approach 1:
The patent extracts the data processing function from the general-purpose CPU and OS environment and implements it directly in hardware on the FPGA. This eliminates memory bottlenecks and OS overhead by performing processing in the hardware layer, ensuring consistent performance even under microburst conditions
Data Source
AI summary
High volume data processing systems and methods are provided to enable ultra-low latency processing and distribution of data. The systems and methods can be implemented to service primary trading houses where microsecond delays can significantly impact performance and value. According to one aspect, the systems and methods are configured to process data from a variety of market data sources in a variety of formats, while maintaining target latencies of less than 1 microsecond. A matrix of FPGA nodes is configured to provide ultra-low latencies while enabling deterministic and distributed processing. In some embodiments, the matrix can be configured to provide consistent latencies even during microburst conditions. Further book building operations (determination of current holdings and assets) can occur under ultra-low latency timing, providing for near instantaneous risk management, management, and execution processes, even under micro-burst conditions. In further embodiments, a FPGA matrix provides a readily expandable and convertible processing platform.