Instruction Strand Grouping for Multithreaded Resource Utilization
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Solution Overview
Problem
In multithreaded processing, long-latency instructions lead to inefficiencies as other threads must wait for their completion, resulting in significant idle time and suboptimal utilization of hardware resources.
Innovation Solution
A method is introduced to group program instructions into strands based on their dependence on long-latency instructions, allowing threads to execute different strands independently, thereby releasing and reallocating hardware resources while long-latency instructions are in flight.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If threads share hardware resources sequentially, then resource access is controlled and simple, but hardware resources cannot be efficiently utilized when long-latency instructions are present
Solution Approach 1:
The patent segments the instruction stream into multiple independent strands that can be executed concurrently by different threads. By dividing the work into separable units with different latency characteristics, the system can switch between strands when long-latency instructions are pending, thereby reducing idle time and improving hardware resource utilization.
2Productivity
If threads wait for long-latency instructions to complete, then instruction execution order is maintained and simple, but processing throughput decreases significantly
Solution Approach 1:
The patent performs preliminary analysis during compilation to identify independent strands and prepare multiple execution paths before runtime. This advance preparation allows the runtime system to switch between pre-identified independent strands without complex dynamic analysis, thereby improving throughput while managing complexity through compile-time preparation.
3Productivity
If multiple threads execute independently, then hardware resources are utilized more efficiently, but ensuring correct execution order and dependencies becomes complex
Solution Approach 1:
The patent segments instructions into independent strands with well-defined boundaries and dependency relationships. Each strand is self-contained and can be executed independently, ensuring correctness while allowing concurrent execution. The segmentation maintains execution semantics by preserving dependency relationships between strands.
Solution Approach 2:
The patent introduces strand identifiers and switching mechanisms as intermediaries to manage execution flow between independent threads. These intermediaries track which strand should execute next and ensure proper switching, thereby maintaining execution correctness while enabling efficient resource utilization through concurrent strand execution.
Data Source
AI summary
A device compiler and linker is configured to group instructions into different strands for execution by different threads based on the dependence of those instructions on other, long-latency instructions. A thread may execute a strand that includes long-latency instructions, and then hardware resources previously allocated for the execution of that thread may be de-allocated from the thread and re-allocated to another thread. The other thread may then execute another strand while the long-latency instructions are in flight. With this approach, the other thread is not required to wait for the long-latency instructions to complete before acquiring hardware resources and initiating execution of the other strand, thereby eliminating at least a portion of the time that the other thread would otherwise spend waiting.