CPU Processor Design
ConceptCPU processor design encompasses the specification, implementation, and verification of central processing units. The RISC-V open ISA is a prominent example whose modularity has driven adoption across academia and industry, while functional verification (often consuming up to 70% of the development lifecycle) is dominated by coverage-guided simulation-based methods that are increasingly augmented by learning-based tools such as DeepVerifier.
First seen 6/12/2026
Last seen 6/12/2026
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CPU Processor Design
Overview
CPU processor design covers the specification of an instruction set architecture (ISA), the implementation of the corresponding microarchitecture and register-transfer-level (RTL) model, and the verification techniques that confirm functional correctness. Modern processor designs have grown increasingly complex, intensifying the focus on functional verification and driving the development of automated, coverage-guided methods.
RISC-V ISA Architecture
RISC-V is an open-source ISA that has flourished across various sectors of academia and industry due to its modular and extensible characteristics. It is composed of:
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2 connectionsDeepVerifier evaluates CPU processor designs through coverage-guided test sequence generation.
DeepVerifier targets CPU processor designs as the subject of functional verification.
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[1] RISC-V is an open-source ISA that has flourished across various sectors of academia and industry due to its modular and extensible characteristics. DeepVerifier: Learning to Update Test Sequences for Coverage-Guided Verification
[2] Functional verification can account for as much as 70% of the design and development lifecycle of processors using RISC-V ISAs. DeepVerifier: Learning to Update Test Sequences for Coverage-Guided Verification
[3] The RISC-V base integer instruction set is designated RV32I, RV64I, or RV128I, with optional extensions M (integer multiplication/division), A (atomic), C (compressed), F (single-precision FP), and D (double-precision FP). DeepVerifier: Learning to Update Test Sequences for Coverage-Guided Verification
[4] The designation G signifies the IMAFD instruction set, so RV32GC denotes RV32IMAFDC; each core provides 32 general-purpose registers (x0–x31) plus 32 additional floating-point registers. DeepVerifier: Learning to Update Test Sequences for Coverage-Guided Verification
[5] The RISC-V privileged specification defines execution modes (mandatory machine mode plus optional Supervisor and User modes) and CSRs such as the machine status register, machine ISA register, machine trap-vector base-address register, and a read-only machine architecture ID register. DeepVerifier: Learning to Update Test Sequences for Coverage-Guided Verification
[6] The complexity and modularity of the RISC-V ISA make comprehensive coverage crucial yet challenging to achieve through manual or random testing alone, motivating transformer-based verification approaches for instruction representation, coverage correlation, and sequence updates. DeepVerifier: Learning to Update Test Sequences for Coverage-Guided Verification
[7] Coverage metrics are quantitative indicators of how much of a design has been verified, and coverage-guided verification improves effectiveness by identifying untested behaviors. DeepVerifier: Learning to Update Test Sequences for Coverage-Guided Verification
[8] Verification techniques for processor designs include static formal analysis, dynamic simulation, and semi-formal methods, with dynamic simulation widely regarded as the leading solution for large-scale circuits. DeepVerifier: Learning to Update Test Sequences for Coverage-Guided Verification
[9] Static formal techniques face a state explosion issue when verifying complex designs with deep hard-to-reach states, limiting practicality and scalability for large-scale designs. DeepVerifier: Learning to Update Test Sequences for Coverage-Guided Verification
[10] Dynamic simulation achieves coverage objectives through constrained random generation and coverage-guided test sequence generation, applying constraints to narrow the search space while coverage scores strategically direct exploration to maximize hardware state coverage. DeepVerifier: Learning to Update Test Sequences for Coverage-Guided Verification
[11] In simulation-based verification, the RTL model of the microprocessor is converted into a high-level object-oriented software class instantiated in the testbench alongside a memory model populated with verification tests. DeepVerifier: Learning to Update Test Sequences for Coverage-Guided Verification
[12] Instruction stream generators such as FORCE-RISCV, the RISC-V design verification framework, and the RISC-V Non-ISA-specific coverage tool systematically produce test sequences randomly and repetitively. DeepVerifier: Learning to Update Test Sequences for Coverage-Guided Verification
[13] A Random Instruction Generator (RIG) produces randomized assembly instruction streams; complete randomness lacks control and has low probability of uncovering deeply concealed bugs, so some RIGs offer test program templates providing abstract constraints to manage direction and depth. DeepVerifier: Learning to Update Test Sequences for Coverage-Guided Verification
[14] The transformer-based framework requires only adaptation of the tokenization layer and ISA architectural constraints from specifications for different targets, making it applicable to various processors and scalable to larger vocabularies, more complex ISA extensions, additional architectural states, or mixed-ISA systems. DeepVerifier: Learning to Update Test Sequences for Coverage-Guided Verification
[15] DeepVerifier's gradient-based sequence update strategy enhances test sequences toward higher coverage scores, achieving a coverage improvement of approximately 3% to 6% and thereby facilitating coverage closure. DeepVerifier: Learning to Update Test Sequences for Coverage-Guided Verification