Hardware Memory Pools for Low Latency Data Processing
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current data processing in communication systems relies heavily on software, leading to increased latencies, wasted bandwidth, and higher processing loads due to the need for close interaction between hardware and software, resulting in inefficiencies.
Innovation Solution
Implementing a data processing method that defines multiple memory pools with varying latency characteristics and programming hardware components to operate based on predefined criteria, reducing the reliance on software interrupts and optimizing data movement between these pools.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If software is used to implement data processing tasks, then flexibility and intelligence are improved, but latency increases and processing efficiency deteriorates
Solution Approach 1:
The patent segments memory into multiple pools with different latency characteristics (first memory pool with higher latency, second memory pool with lower latency). Hardware components are programmed to access specific memory pools based on data processing requirements, allowing time-critical operations to use low-latency memory while maintaining overall system flexibility through software-controlled allocation.
Solution Approach 2:
Different regions of memory (first and second memory pools) are assigned different quality characteristics (latency performance). The hardware component is programmed to selectively access the second memory pool for operations requiring low latency, while the first memory pool handles less time-critical operations, optimizing overall processing efficiency.
2Adaptability or versatility
If software controls hardware operations, then system intelligence is improved, but processing load on microprocessor increases
Solution Approach 1:
The hardware component is pre-programmed with instructions to automatically access the second memory pool for low-latency operations without requiring continuous software intervention. This preliminary configuration allows the hardware to operate autonomously for routine operations, reducing the microprocessor's processing load while maintaining system intelligence through initial software programming.
Solution Approach 2:
The hardware component performs memory access decisions autonomously based on pre-programmed criteria, serving itself without continuous software control. This self-service capability reduces the processing burden on the microprocessor while maintaining flexible data processing through the initially programmed logic.
3Ease of operation
If hardware and software interact closely, then task implementation is improved, but bandwidth is wasted and latency increases
Solution Approach 1:
The memory system is segmented into first and second pools, allowing hardware components to access the second memory pool directly for time-critical operations without requiring software intervention. This segmentation reduces interaction latency while maintaining ease of operation through programmed access patterns.
Solution Approach 2:
The patent extracts the time-critical memory access function from the software-controlled first memory pool and places it in the hardware-accessible second memory pool. This extraction allows hardware components to perform operations independently without software overhead, reducing latency while preserving task implementation capabilities.
Data Source
AI summary
Multiple memory pools are defined in hardware for operating on data. At least one memory pool has a lower latency that the other memory pools. Hardware components operate directly on data in the lower latency memory pool.