Hybrid Matrix Multiplication Pipeline for Area Reduction
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Matrix operations units in processors occupy a large area and consume significant power, especially when performing repeated operations on large datasets, due to the need for separate execution pipelines to support various types of instructions.
Innovation Solution
A hybrid multi-instruction type matrix multiplication pipeline that reuses execution circuitry by using N multipliers to perform multiple multiplication operations for different operand sizes, allowing for efficient execution of dot product and fused-multiply add instructions by shifting operands to align with the maximum element product, thereby simplifying the adder design and meeting timing constraints.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If separate execution pipelines are implemented to support different types of instructions, then instruction versatility is improved, but processor die area and power consumption increase
Solution Approach 1:
The patent implements a single matrix multiplication pipeline that can execute multiple instruction types (dot product, FMA, and other matrix operations) by configuring N multipliers to perform different operations based on control signals. This universal pipeline eliminates the need for separate dedicated pipelines for each instruction type, thereby reducing processor die area while maintaining full instruction versatility.
Solution Approach 2:
The patent merges multiple separate execution pipelines into a single hybrid pipeline that combines N multipliers with a unified adder structure. By combining these resources and using multiplexers to route data flow dynamically, the system achieves the functionality of multiple pipelines with the physical footprint of one, directly addressing the area-conversation trade-off.
2Adaptability or versatility
If separate execution pipelines are implemented to support different types of instructions, then instruction versatility is improved, but power consumption increases
Solution Approach 1:
The universal pipeline design allows a single set of execution resources (N multipliers and adder) to handle all instruction types dynamically. This eliminates the need to power multiple separate pipeline structures simultaneously, reducing overall power consumption while maintaining the ability to execute diverse instruction types on demand.
Solution Approach 2:
By merging multiple pipelines into one shared execution structure with dynamic resource allocation, the system reduces redundant power consumption. The unified adder and multiplier array are activated only when needed for specific operations, rather than maintaining multiple always-on pipeline structures.
3Productivity
If N multipliers are used to perform multiple multiplication operations for different operand sizes, then execution efficiency is improved, but circuit complexity increases
Solution Approach 1:
The patent employs dynamic configuration of the N multipliers through control logic that adjusts their operation mode based on the instruction type and operand size. This dynamic adaptability allows the same hardware structure to efficiently handle different operations (dot product, FMA, etc.) without requiring separate dedicated circuits for each case, balancing productivity gains with manageable complexity.
Solution Approach 2:
The patent introduces multiplexers as intermediary components that manage the complex data routing between N multipliers and the adder. These multiplexers act as mediators that simplify the control logic by providing standardized interfaces and routing paths, thereby reducing overall circuit complexity while enabling flexible execution of multiple instruction types.
4Device complexity
If operands are shifted to align with the maximum element product, then adder design is simplified and timing constraints are met, but additional shifting operations are required
Solution Approach 1:
The patent performs preliminary shifting operations on operands before they reach the adder, aligning them with the maximum element product in advance. This preliminary alignment simplifies the adder design by ensuring all inputs are properly positioned, and the shifting is integrated into the data flow path so that it occurs concurrently with other pipeline operations, minimizing its impact on overall timing.
Data Source
AI summary
Systems, apparatuses, and methods implementing a hybrid matrix multiplication pipeline are disclosed. A hybrid matrix multiplication pipeline is able to execute a plurality of different types of instructions in a plurality of different formats by reusing execution circuitry in an efficient manner. For a first type of instruction for source operand elements of a first size, the pipeline uses N multipliers to perform N multiplication operations on N different sets of operands, where N is a positive integer greater than one. For a second type of instruction for source operand elements of a second size, the N multipliers work in combination to perform a single multiplication operation on a single set of operands, where the second size is greater than the first size. The pipeline also shifts element product results in an efficient manner when implementing a dot product operation.