Single-Class Randomization Architecture
TechniqueSingle-Class Randomization Architecture is a constrained-random instruction-generation technique in which one SystemVerilog opcode class contains the random variables and constraints for all opcode types. In the cited AMD/Synopsys microcode-stimulus generator, the approach improved distribution control compared with sequential field randomization, but it presented a large constraint-solving problem—about 100 random variables and 800 constraint equations—which could reduce randomization speed and increase memory pressure relative to a later multi-class architecture.
WIKI
Overview
Single-Class Randomization Architecture is a constrained-random generator structure in which a single opcode class contains the random variables and constraints for all supported opcode types. In the AMD/Synopsys microcode-stimulus generator described in the evidence, the initial SystemVerilog prototype used one class with constraints for all opcodes, replacing traditional sequential randomization of instruction fields and enabling more precise distribution control over instruction attributes. [single_class_definition]
Context in microcode stimulus generation
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