Overlapping Burst Load Execution in Pipeline Processing
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Solution Overview
Problem
Pipelining in processing systems leads to stalls when multiple burst load instructions are fetched, reducing throughput due to the need to load multiple data sets over several cycles before completing all data loading, which delays subsequent processes.
Innovation Solution
A method for processing tasks in parallel by identifying burst load instructions and performing additional tasks with different destinations in parallel, utilizing a pipeline structure that includes request queues and storage areas to manage and execute these tasks concurrently.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If multiple burst load instructions are fetched in a pipeline structure, then the processing system can handle more data, but the system must load multiple data sets over several cycles causing stalls that reduce throughput
Solution Approach 1:
The system performs preliminary actions by acquiring and decoding the second burst load instruction while the first burst load instruction is still being executed. The second instruction is prepared in advance (decoded and validated) so that when the first instruction completes, the second instruction is ready to be issued immediately, eliminating stall time between sequential burst load operations.
Solution Approach 2:
The patent introduces a temporal dimension to instruction processing by overlapping the execution of multiple burst load instructions. Instead of processing instructions sequentially in a single dimension of time, the system executes multiple instructions simultaneously in different pipeline stages, transforming the linear execution flow into a multi-dimensional parallel processing structure that improves throughput without proportionally increasing stall time.
2Reliability
If the system waits for all data loading to complete before processing subsequent processes, then data integrity is maintained, but the processing system experiences stalls and reduced throughput
Solution Approach 1:
The system maintains continuity of useful action by ensuring that the pipeline remains active and productive throughout the execution of multiple burst load instructions. By overlapping the acquisition, decoding, and execution of multiple instructions, the system eliminates idle cycles and maintains continuous data flow through the pipeline, improving throughput while preserving data integrity through proper synchronization mechanisms.
Solution Approach 2:
The system performs preliminary validation and decoding of subsequent burst load instructions while previous instructions are still executing. This preliminary action ensures that when data is ready, the processing logic is already prepared and validated, maintaining reliability without requiring the system to wait for complete data loading before initiating subsequent processes.
3Reliability
If the system processes burst load instructions sequentially, then resource conflicts are avoided, but the processing speed and throughput are limited
Solution Approach 1:
The patent implements dynamic resource management by adaptively controlling the issuance of multiple burst load instructions based on pipeline status and resource availability. The system dynamically adjusts the timing and sequencing of instruction execution, allowing multiple instructions to be processed in parallel when resources are available while maintaining proper synchronization to avoid conflicts, thereby increasing processing speed without sacrificing reliability.
Data Source
AI summary
A method for processing tasks in parallel is performed by at least one processor, and includes performing a first task associated with a first instruction, determining whether the first instruction is a burst load instruction, in response to determining that the first instruction is the burst load instruction, acquiring a second instruction, and performing a second task associated with the acquired second instruction, in which the first task and the second task are performed in parallel.