Coprocessor Bypass Optimization and Variable Grid Architecture
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Solution Overview
Problem
Current coprocessors lack efficient microarchitectural optimizations for performance and power efficiency, particularly in executing vector and matrix operations, leading to suboptimal performance and increased power consumption.
Innovation Solution
The coprocessor incorporates bypass optimization, a variable grid architecture, and fused vector operations, enabling dynamic bypassing of unused execution circuitry, reissuing instructions in a partial grid, and optimizing vector mode operations to produce vector results, thereby improving efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If all processing elements in the coprocessor grid are activated to handle matrix operations, then computational throughput is improved, but power consumption increases
Solution Approach 1:
The coprocessor implements dynamic activation of processing elements based on the operation type. For vector operations, only one row of processing elements is activated while other rows remain inactive, dynamically adapting the active computational resources to the specific operation requirements rather than keeping all elements constantly active
Solution Approach 2:
The processing element grid is segmented into multiple rows that can be independently activated. This segmentation allows selective activation of only the necessary row(s) for vector operations or multiple rows for matrix operations, enabling fine-grained control over power consumption based on computational needs
2Adaptability or versatility
If the coprocessor implements a full grid of processing elements to handle all operation types, then operational versatility is improved, but device complexity increases
Solution Approach 1:
The coprocessor implements a universal processing element design where each processing element can perform both vector and matrix operations. The same physical hardware infrastructure supports multiple operation types through configurable activation patterns, eliminating the need for separate dedicated hardware for each operation type
Solution Approach 2:
The control circuitry dynamically configures the activation pattern of processing elements based on the incoming operation type. Vector mode activates a single row while matrix mode activates multiple rows, allowing the same hardware to adapt its functionality dynamically without requiring separate dedicated circuits for each operation type
3Adaptability or versatility
If the coprocessor executes vector mode operations using the full grid, then operational flexibility is improved, but execution efficiency decreases
Solution Approach 1:
The coprocessor dynamically adjusts the activation pattern of processing elements based on the operation mode. For vector operations, only one row is activated to produce vector results efficiently, while the control circuitry maintains the capability to activate multiple rows for matrix operations, optimizing performance for the specific operation type being executed
Solution Approach 2:
Different regions of the processing element grid are selectively activated based on the operation type. Vector mode operations utilize only the necessary local region (one row) while leaving other regions inactive, ensuring that computational resources are concentrated where needed rather than distributed across the entire grid
Data Source
AI summary
In an embodiment, a coprocessor may include a plurality of processing element circuits arranged in a first grid, where a given coprocessor instruction of an instruction set for the coprocessor is defined to cause evaluation of a second plurality of processing element circuits arranged in a second grid, where the second grid includes more processing element circuits than the first grid. The coprocessor may further include a scheduler circuit configured to issue instruction operations to the plurality of processing element circuits, where the scheduler circuit is configured to issue a given instruction operation corresponding to the given coprocessor instruction a plurality of times to complete the given coprocessor instruction, wherein different issuances of the given instruction operation are configured to cause respective different portions of the evaluation defined by the given coprocessor instruction to be performed.