Tile Interconnect Handling for CPU Tile Read Dependencies
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Solution Overview
Problem
Existing CPU access to multimedia data in a tile format is inefficient, leading to increased energy consumption and performance impacts due to duplicate memory access and decompression of tile-formatted multimedia data.
Innovation Solution
Implementing a tile computation block to detect dependencies between tile read requests, a tile hazard block to store dependent nodes, and a tile level handler to output cache lines, while using a scheduler to manage dependencies and optimize memory access paths.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If CPU accesses multimedia data in tile format directly from main memory, then data access speed is improved, but energy consumption increases due to duplicate memory access
Solution Approach 1:
The patent implements a tile computation block that performs preliminary actions by detecting dependencies between tile read requests before memory access occurs. The block classifies requests as head nodes or dependent nodes, and the tile hazard block stores dependent nodes for later processing. This preliminary detection and classification prevents duplicate memory accesses, resolving the contradiction by eliminating redundant energy-consuming operations while maintaining fast access speeds through optimized memory request management.
2Speed
If CPU accesses multimedia data in tile format directly from main memory, then data access speed is improved, but memory access bandwidth increases due to duplicate memory access
Solution Approach 1:
The patent implements a feedback mechanism where the tile computation block continuously monitors incoming tile read requests, detects dependencies on previously processed requests, and provides feedback by storing dependent nodes in the tile hazard block. This feedback loop prevents duplicate memory accesses by identifying and eliminating redundant requests, thereby reducing memory access bandwidth consumption while maintaining fast data access speeds through intelligent request management.
3Ease of operation
If tile read requests are processed independently without dependency detection, then processing simplicity is maintained, but performance decreases due to duplicate decompression operations
Solution Approach 1:
The patent applies preliminary action by implementing a tile computation block that performs dependency detection and request classification before the actual tile processing occurs. The block identifies head nodes and dependent nodes, storing dependent nodes in the tile hazard block for later retrieval. This preliminary processing adds minimal complexity but eliminates duplicate decompression operations, thereby improving performance while maintaining relatively simple processing through structured request management.
Data Source
AI summary
Aspects of the disclosure are directed to providing access to multimedia data in a tile format. In accordance with one aspect, the disclosure includes a non-transitory memory configured to store a first tile read request; a tile computation block coupled to the non-transitory memory, the tile computation block configured to detect one or more dependencies of the first tile read request with a second tile read request by classifying a head node and a dependent node; a tile hazard block coupled to the tile computation block, the tile hazard block configured to store the dependent node; and a tile level handler coupled to tile hazard block, the tile level handler configured to output a first cache line and a second cache line.