Coprocessor Instruction Packets Using Shared Opcode Space
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Solution Overview
Problem
Existing instruction sets for coprocessors are limited by a fixed subset of opcodes, which may be insufficient for diverse applications, leading to inefficiencies and reduced coding flexibility.
Innovation Solution
A method and system that allows a processor core to reuse its opcode space for coprocessors by treating certain instructions as no-operations (NOPs) and transmitting others to the coprocessor for execution, enabling the coprocessor to utilize a larger instruction set and share the same opcode values with the processor core.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a fixed subset of the instruction set is reserved for coprocessors, then the coprocessor can execute operations, but the size of the subset is limited and may be insufficient for diverse applications
Solution Approach 1:
The processor core's opcode space is made universal by allowing it to serve both the processor core itself and the coprocessor. The same opcode values can be interpreted differently depending on the execution context, enabling the coprocessor to use a larger instruction set without requiring separate reserved opcodes. This multi-functionality resolves the contradiction by expanding the coprocessor's instruction set size while avoiding the complexity of managing separate reserved subsets.
Solution Approach 2:
The instruction set allocation is made dynamic rather than fixed. The system determines at runtime whether an opcode should be executed by the processor core or transmitted to the coprocessor based on the current execution context and opcode characteristics. This dynamic approach allows the coprocessor to access a larger effective instruction set while the processor core maintains control over opcode interpretation, resolving the contradiction between instruction set size and management complexity.
2Productivity
If the processor core executes all instructions locally, then execution speed is maintained, but coprocessor functionality is limited by the fixed opcode subset
Solution Approach 1:
The processor core acts as an intermediary between the instruction set and the coprocessor. It selectively transmits instructions to the coprocessor based on whether they correspond to coprocessor operations, while maintaining local execution for other instructions. This intermediary role allows the coprocessor to access a larger instruction set without permanently reducing execution speed, as only specific instructions are offloaded rather than all instructions.
3Adaptability or versatility
If a larger instruction set is provided for coprocessors, then coding flexibility is improved, but the processor core design becomes more complex
Solution Approach 1:
The processor core's opcode space is designed to be universal, serving both the processor core's native operations and the coprocessor's operations. By making the opcode space multi-functional, the system achieves larger coding flexibility for the coprocessor without requiring the processor core to be redesigned with separate opcode handling paths. This resolves the contradiction by expanding coding flexibility while maintaining processor core design simplicity.
Data Source
AI summary
A method may include a processor core fetching a packet of machine code instructions and then determining whether a first machine code instruction of the packet corresponds to a coprocessor operation. In response to determining that the first machine code instruction corresponds to a coprocessor operation, the processor core may treat the other machine code instructions of the packet as no-operations (NOPs) and transmit the machine code instructions of the packet to a coprocessor. The coprocessor may then decode and execute the machine code instructions. The method may further include the processor core keeping responsibility for load and store operations and, in the case of coprocessor operations, using registers of the coprocessor as source and destination for load and store operations.