Buffer Pipeline Manager for Concurrent Stage Execution
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Solution Overview
Problem
Existing computing systems face inefficiencies in processing large volumes of data for pipelined and dataflow computing applications, leading to longer processing latencies due to serial execution of stages and suboptimal utilization of hardware resources.
Innovation Solution
Implementing a buffer-pipelined application system (BPAS) that utilizes pipeline buffers to manage data batching, pre-processing, and computational processing through a buffer-pipeline manager (BPM) to allocate resources efficiently across physical memories, enabling concurrent execution of application stages.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If serial execution of stages is used in existing computing systems, then device complexity is reduced, but processing time increases and productivity decreases
Solution Approach 1:
The patent segments the monolithic application execution into multiple independent stages that can execute concurrently. Each stage is assigned to different processing elements and operates on different data batches, transforming a serial execution model into a parallel pipeline architecture that improves throughput while maintaining manageable complexity through structured decomposition
Solution Approach 2:
The buffer-pipeline manager performs preliminary actions by pre-allocating pipeline buffers to stages before execution begins. Data batches are prepared and staged in advance in dedicated buffers, enabling stages to immediately process data without waiting for previous stages to complete, thereby reducing processing latency and enabling concurrent execution
2Productivity
If more hardware resources are allocated to increase processing capacity, then productivity improves, but device complexity and resource utilization efficiency worsen
Solution Approach 1:
The buffer-pipeline manager serves multiple functions within a single management component: it allocates buffers to stages, tracks buffer availability, manages data batch flow between stages, and coordinates resource usage. This multi-functional approach increases processing capacity while avoiding the complexity of multiple separate management systems
Solution Approach 2:
The pipeline buffers act as intermediaries between processing stages, decoupling their operations and enabling independent execution. The buffer-pipeline manager mediates resource allocation among stages, providing a centralized control mechanism that simplifies hardware resource management while enabling complex parallel processing patterns
3Productivity
If pipeline buffers are allocated to enable concurrent stage execution, then processing efficiency improves, but device complexity increases due to buffer management overhead
Solution Approach 1:
Pipeline buffers are pre-allocated to stages before execution begins, and buffer availability is tracked in advance. This preliminary setup eliminates the need for complex runtime buffer allocation decisions, reducing management overhead while enabling efficient concurrent execution
Solution Approach 2:
The buffer-pipeline manager implements feedback mechanisms to track buffer availability and stage completion status. This feedback enables dynamic coordination of data flow between stages, allowing the system to maintain optimal buffer utilization without requiring complex manual management, thereby improving concurrent processing capability while keeping management complexity manageable
Data Source
AI summary
A method of pipelining execution stages of a pipelined application can comprise a Buffer Pipeline Manager (BPM) of a Buffer Pipelined Application computing System (BPAS) allocating pipeline buffers, configuring access to the pipeline buffers by stage processors of the system, transferring buffers from one stage processor to a successor stage processor, and transferring data from a buffer in one memory to a buffer in an alternative memory.