Multi-threaded Sequencer for Parallel Processor Synchronization
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Solution Overview
Problem
Conventional multi-processor systems are limited by single-threaded operations, which restrict the efficient use of available processors and coprocessors, leading to suboptimal throughput in compute-intensive tasks.
Innovation Solution
A multi-threaded sequencer/synchronizer system is introduced, allowing offloading of processing tasks from the main processor to auxiliary processors, enabling parallel execution of multiple processor-intensive tasks without excessive interrupts, thereby enhancing system throughput.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional multi-processor systems use single-threaded operations, then the system structure is simpler, but the throughput and processor utilization are limited
Solution Approach 1:
The sequencer is segmented into multiple independent threads (first thread, second thread, third thread, fourth thread) that can execute operations simultaneously. Each thread has its own instruction pointer and can fetch/execute instructions independently, enabling parallel processing and significantly increasing system throughput while maintaining manageable complexity through modular thread design
Solution Approach 2:
The sequencer transitions from static single-threaded operation to dynamic multi-threaded operation where threads can be activated, suspended, and synchronized based on data availability and processing requirements. This dynamic thread management enables the system to adapt to varying computational workloads and maximize processor utilization
2Productivity
If the main processor executes all tasks sequentially, then control is easier to manage, but processing time increases and throughput decreases
Solution Approach 1:
The workload is divided into multiple independent tasks distributed across different threads. The first thread handles initial processing, the second thread performs intermediate operations, the third thread executes transformations, and the fourth thread completes processing. This segmentation enables simultaneous execution of multiple tasks, reducing total processing time and increasing throughput
Solution Approach 2:
The sequencer is pre-configured with multiple threads that can execute in parallel without requiring sequential coordination. Instructions are prepared and staged in advance for each thread, allowing the system to immediately begin parallel processing when triggered, thereby reducing task execution time and improving throughput
3Productivity
If coprocessors are added to handle compute-intensive tasks, then processor utilization improves, but system complexity and coordination overhead increase
Solution Approach 1:
The system architecture is segmented into independent threads that can be assigned to different processors or coprocessors. Each thread represents an independent unit of work that can be distributed to available processing resources, enabling efficient load balancing and maximizing processor utilization without requiring complex centralized coordination
Solution Approach 2:
The multi-threaded sequencer provides a universal interface that can manage both main processor and coprocessor operations through a single synchronized control mechanism. This universal approach allows the same thread management infrastructure to coordinate diverse processing resources, reducing overall system architecture complexity while maintaining high processor utilization
Data Source
AI summary
A high performance sequencer/synchronizer controls multiple concurrent data processors and dedicated coprocessors and their interaction with multiple shared memories. This sequencer/synchronizer controls multi-threading access to shared memory.