SystemVerilog reference verification methodology: RTL
Thomas Anderson, Janick Bergeron, Ed Cerny, Alan Hunter and Andrew Nightingale
(05/01/2006 9:00 AM EDT)
Verification remains the single biggest challenge in the design of system-on-chip (SoC) devices and reusable IP blocks. As designs continue to grow in size and complexity, new techniques emerge that must be linked by an effective methodology for significant adoption and deployment. The SoC industry needs a reuse-oriented, coverage-driven verification methodology built on the rich semantic support of a standard language.
This is the second in a series of four articles outlining a reference verification methodology enabled by the SystemVerilog hardware design and verification language standard. This methodology is documented in a comprehensive book � the Verification Methodology Manual (VMM) for SystemVerilog � jointly authored by ARM and Synopsys. This article summarizes some of the key recommendations of the VMM for SystemVerilog for building a scalable, predictable, and reusable environment enabling users to take full advantage of assertions, reusability, testbench automation, coverage, formal analysis, and other advanced verification technologies.
The purpose of the VMM for SystemVerilog is twofold. First, it is intended to educate users about the best practices shown to be effective in assembling a repeatable, productive and robust verification methodology. This allows users to take advantage of the same language capabilities, tool capabilities, and methodology used by verification experts. Second, it enables verification tool vendors to deliver the documentation, SystemVerilog code examples and boilerplates to enable users to take advantage of this methodology quickly and conveniently with a minimum of custom code development.
(05/01/2006 9:00 AM EDT)
Verification remains the single biggest challenge in the design of system-on-chip (SoC) devices and reusable IP blocks. As designs continue to grow in size and complexity, new techniques emerge that must be linked by an effective methodology for significant adoption and deployment. The SoC industry needs a reuse-oriented, coverage-driven verification methodology built on the rich semantic support of a standard language.
This is the second in a series of four articles outlining a reference verification methodology enabled by the SystemVerilog hardware design and verification language standard. This methodology is documented in a comprehensive book � the Verification Methodology Manual (VMM) for SystemVerilog � jointly authored by ARM and Synopsys. This article summarizes some of the key recommendations of the VMM for SystemVerilog for building a scalable, predictable, and reusable environment enabling users to take full advantage of assertions, reusability, testbench automation, coverage, formal analysis, and other advanced verification technologies.
The purpose of the VMM for SystemVerilog is twofold. First, it is intended to educate users about the best practices shown to be effective in assembling a repeatable, productive and robust verification methodology. This allows users to take advantage of the same language capabilities, tool capabilities, and methodology used by verification experts. Second, it enables verification tool vendors to deliver the documentation, SystemVerilog code examples and boilerplates to enable users to take advantage of this methodology quickly and conveniently with a minimum of custom code development.
To read the full article, click here
Related Semiconductor IP
- Chiplet Die-to-Die Interconnect IP Solution
- High speed MACsec Engine 100G/200G/400G/800G/1.6T
- Temperature/Voltage sensors
- AMBA Bus Host to eSPI Controller/Target
- AMBA Bus Host to eSPI Controller
Related Articles
- SystemVerilog reference verification methodology: Introduction
- SystemVerilog reference verification methodology: ESL
- SystemVerilog Reference Verification Methodology: VMM Adoption
- Using SystemVerilog Assertions in RTL Code
Latest Articles
- ZK-Flex: A Flexible and Scalable Framework for Accelerating Zero-Knowledge Proofs
- ITP-STDP: An Intrinsic-Timing Power-of-Two Learning Engine for On-Chip SNN Training
- OpenEye: A Scalable Open-Source Hardware Accelerator for DNNs
- CHIMERA: A Flexible and Scalable 3.1 TOPS/W AI-MCU with Transformer Accelerator and 563 Gb/s Shared-L2 Memory Subsystem with QoS Guarantees
- CXL-ClusterSim: Modeling CXL-based Disaggregated Memory Cluster for Pooling and Sharing using gem5 and SST