Compile-Time Buffer Insertion for Dataflow Graph Access Pattern Conflicts
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Solution Overview
Problem
Reconfigurable processors face inefficiencies in data transmission and memory utilization due to mismatched write and read access patterns between producers and consumers in coarse-grained reconfigurable architectures, leading to conflicts that hinder optimal operation.
Innovation Solution
Implementing compile-time logic to detect conflicts between producers and consumers by analyzing write and read access patterns, and inserting buffers to resolve these mismatches, thereby optimizing dataflow graphs for efficient execution on reconfigurable processors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If buffers are inserted between producers and consumers to resolve access pattern conflicts, then data transmission efficiency and memory utilization are improved, but device complexity increases
Solution Approach 1:
The system performs compile-time analysis of the dataflow graph to detect access pattern conflicts between producers and consumers before execution. Buffers are automatically inserted at conflict points during the compilation phase, eliminating the need for runtime buffer management and reducing operational complexity while improving data transmission efficiency.
Solution Approach 2:
Buffers act as intermediary elements inserted between producer and consumer operation units to decouple their access patterns. These intermediate storage elements allow producers to write data in one order while consumers read in a different order, resolving conflicts without requiring complex synchronization mechanisms.
2Quantity of substance
If compile-time logic is implemented to detect and resolve access pattern conflicts, then memory utilization is improved, but device complexity increases
Solution Approach 1:
The compilation phase includes a pass that analyzes the dataflow graph to identify all buffer insertion points needed to resolve access pattern conflicts. This preliminary determination allows the system to optimize memory allocation and buffer placement before execution, improving memory utilization without adding runtime complexity.
Solution Approach 2:
The system automatically detects access pattern mismatches and determines optimal buffer insertion points without external intervention. The compile-time logic self-analyzes the dataflow graph, identifies conflicts, and generates optimized execution code with buffers already in place, eliminating the need for manual configuration.
3Productivity
If access patterns are aligned through buffer insertion, then overall performance is improved, but ease of operation decreases
Solution Approach 1:
The system performs automatic compile-time analysis and buffer insertion without requiring user intervention to specify access patterns or conflict resolution strategies. Users simply provide the dataflow graph, and the system autonomously optimizes it by detecting conflicts and inserting appropriate buffers, maintaining ease of operation while improving performance.
Solution Approach 2:
The system changes the structural parameters of the dataflow graph by inserting buffer operation units at identified conflict points. This transformation modifies the execution model to accommodate different access patterns between producers and consumers, improving performance while keeping the user interface unchanged.
Data Source
AI summary
A dataflow graph for an application has operation units that are configured to be producers and consumers of tensors. A write access pattern of a particular producer specifies an order in which the particular producer generates elements of a tensor, and a read access pattern of a corresponding consumer specifies an order in which the corresponding consumer processes the elements of the tensor. The technology disclosed detects conflicts between the producers and the corresponding consumers that have mismatches between the write access patterns and the read access patterns. A conflict occurs when the order in which the particular producer generates the elements of the tensor is different from the order in which the corresponding consumer processes the elements of the tensor. The technology disclosed resolves the conflicts by inserting buffers between the producers and the corresponding consumers.