Tiled Matrix Multiplication Accelerator for Speculative Execution
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Solution Overview
Problem
Existing accelerator circuitry fails to efficiently accommodate processor circuitry enhancements such as speculative execution and out-of-order instruction execution, leading to inefficiencies in matrix operations.
Innovation Solution
A self-contained accelerator circuitry, namely the tiled matrix multiplication unit (TMU), is communicatively coupled to processor circuitry, capable of performing matrix operations autonomously, managing communication and dependencies, and maintaining architectural state, while offloading processor tasks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If accelerator circuitry is used to offload matrix operations from processor circuitry, then system performance and productivity are improved, but the accelerator circuitry fails to efficiently accommodate speculative execution and out-of-order instruction execution, leading to inefficiencies
Solution Approach 1:
The accelerator circuitry is segmented into multiple independent matrix multiplication units (MMUs), each capable of autonomous operation. This segmentation allows different MMUs to handle different instruction streams independently, enabling speculative execution paths to be processed in parallel without interfering with each other, while maintaining high productivity through distributed computation
Solution Approach 2:
The accelerator circuitry implements dynamic resource allocation and scheduling mechanisms that allow MMUs to adaptively respond to out-of-order instruction execution. The system dynamically reconfigures data flow paths and resource allocation based on runtime conditions, enabling efficient accommodation of speculative execution and out-of-order instructions while maintaining high system performance
2Productivity
If accelerator circuitry performs matrix operations autonomously, then productivity is improved through continuous execution, but device complexity increases due to the need for autonomous operation and dependency management
Solution Approach 1:
Each matrix multiplication unit is designed with self-service capabilities, including autonomous data buffering, automatic dependency resolution, and self-managed operation scheduling. This self-service architecture enables continuous autonomous execution of matrix operations without requiring constant processor intervention, while the modular design keeps individual unit complexity manageable
Solution Approach 2:
The system introduces intermediary components such as buffer circuitry and control logic that mediate between the autonomous MMUs and the processor circuitry. These intermediaries handle complex dependency management and coordination tasks, allowing MMUs to operate autonomously for continuous productivity while offloading complexity management to specialized intermediary structures
3Speed
If processor circuitry uses speculative execution and out-of-order instruction execution, then speed and responsiveness are improved, but the accelerator circuitry must accommodate these enhancements which increases device complexity
Solution Approach 1:
The accelerator circuitry is divided into multiple independent MMUs that can process speculative execution paths in parallel. Each MMU handles independent instruction streams, allowing speculative branches to be executed simultaneously without requiring complex coordination logic in a single unified accelerator, thus maintaining speed while managing complexity through modular segmentation
Solution Approach 2:
The system dynamically changes operational parameters such as data flow rates, resource allocation levels, and scheduling priorities based on the execution state of speculative and out-of-order instructions. This parameter adaptation allows the accelerator to efficiently accommodate variable instruction patterns without requiring fixed complex architecture, maintaining speed through runtime optimization
Data Source
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AI summary
The present disclosure is directed to systems and methods for performing one or more operations on a two dimensional tile register using an accelerator that includes a tiled matrix multiplication unit (TMU). The processor circuitry includes reservation station (RS) circuitry to communicatively couple the processor circuitry to the TMU. The RS circuitry coordinates the operations performed by the TMU. TMU dispatch queue (TDQ) circuitry in the TMU maintains the operations received from the RS circuitry in the order that the operations are received from the RS circuitry. Since the duration of each operation is not known prior to execution by the TMU, the RS circuitry maintains shadow dispatch queue (RS-TDQ) circuitry that mirrors the operations in the TDQ circuitry. Communication between the RS circuitry 134 and the TMU provides the RS circuitry with notification of successfully executed operations and allows the RS circuitry to cancel operations where the operations are associated with branch mispredictions and/or non-retired speculatively executed instructions.