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Register-Transfer Level

Concept

Register-Transfer Level (RTL) is the abstraction at which digital hardware designs are described in terms of data movement between registers and the logical/arithmetic operations performed on that data. RTL designs are expressed in hardware description languages (HDLs) such as Verilog, VHDL, Chisel, or SystemVerilog, and serve as inputs to hardware simulation, formal verification, hardware fuzzing, logic synthesis, logic locking, and test-generation flows.

First seen 5/25/2026
Last seen 9/10/2026
Evidence 54 chunks
Wiki v6

WIKI

Overview

Register-Transfer Level (RTL) is the abstraction at which digital hardware designs are described in terms of the movement of data between registers and the logical/arithmetic operations applied to that data. Hardware designs are not directly executable on a host machine, so they are implemented at RTL and evaluated using an RTL simulator or formal engine. RTL designs are usually expressed in a hardware description language (HDL) such as Verilog, VHDL, Chisel, or SystemVerilog. [RTL abstraction and HDL expression]

Role in hardware fuzzing

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NEIGHBORHOOD

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RELATIONSHIPS

17 connections
Instruction Set Architecture ← compares with 90% 2e
The RTL design is compared with the ISA through formal equivalence proof.
Generating an Efficient Instruction Set Simulator from a Complete Property Suite ← mentions 100% 2e
The paper mentions RTL description as the design representation used in verification.
DirectFuzz ← uses 90% 2e
DirectFuzz operates on RTL designs and uses RTL-specific coverage feedback
Synthesizing Instruction Selection Rewrite Rules from RTL using SMT ← mentions 100% 2e
The paper synthesizes rewrite rules from RTL descriptions of target architectures.
PORTRUSH ← uses 99% 2e
PORTRUSH operates at the register-transfer level to detect vulnerabilities in hardware designs.
WhisperFuzz ← uses 100% 2e
WhisperFuzz extracts microarchitectural state transitions from a processor design at the register-transfer level.
Micro-Event Graph ← derived from 100% 2e
The Micro-Event Graph is extracted from RTL code of processor modules.
hardware fuzzing ← uses 100% 2e
Hardware fuzzing is applied to Register-Transfer Level designs for verification.
Mapping Functions ← uses 95% 1e
Mapping functions relate the architecture description to the RTL implementation.
Processor Fuzzing ← uses 95% 1e
Processor fuzzing operates at the Register Transfer Level for detecting vulnerabilities.
hardware fuzzing part of → 90% 1e
RTL designs are the target of hardware fuzzing.
Equivalence Proof ← uses 100% 1e
The equivalence proof is performed between the RTL implementation and the ISA.
Hardware Description Language uses → 95% 1e
RTL designs are expressed using hardware description languages
MicroRV32 ← implements 100% 1e
MicroRV32 is an RTL implementation of a RISC-V SoC.
ProcessorFuzz Tool ← uses 1e
The ProcessorFuzz Tool operates on Register-Transfer Level designs.
Cadence JasperGold FPV ← uses 95% 1e
Cadence JasperGold FPV supports RTL models for formal verification.
Architecture Description ← uses 90% 1e
The architecture description is connected to the RTL implementation via mapping functions.

LINKED ENTITIES

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hardware fuzzing USES Extracted graph relationship

CITATIONS

5 sources
5 citations — click to expand
[1] ProcessorFuzz is an HDL-agnostic RTL processor fuzzer that uses CSR-transition coverage, requires no RTL instrumentation, was evaluated on Rocket, BOOM, and BlackParrot, triggered ground-truth bugs 1.23x faster than DIFUZZRTL, and exposed 8 new RISC-V bugs plus 1 new reference-model bug, all confirmed by developers. ProcessorFuzz: Guiding Processor Fuzzing using Control and Status Registers
[2] RTL abstraction describes digital hardware as data movement between registers and operations on that data, expressed in HDLs such as Verilog, VHDL, Chisel, or SystemVerilog. ProcessorFuzz: Guiding Processor Fuzzing using Control and Status Registers
[3] Multiple recent works use hardware fuzzing for verification of Register-Transfer Level (RTL) designs but suffer from limitations including lack of support for widely used HDLs and misleading coverage signals. ProcessorFuzz: Guiding Processor Fuzzing using Control and Status Registers
[4] RTL locking schemes have access to semantic hardware information earlier in the flow than gate-level locking, but machine-learning attacks can exploit this semantic information; the paper investigates resilience of the ASSURE RTL locking method against ML attacks and proposes ML-resilient schemes evaluated against an RTL adaptation of the SnapShot attack. ProcessorFuzz: Guiding Processor Fuzzing using Control and Status Registers
[5] An automatic functional-constraint extractor operating at the register-transfer level produces functional constraints usable by ATPG tools to generate pseudo-functional test patterns. ProcessorFuzz: Guiding Processor Fuzzing using Control and Status Registers