A real solution for mixed signal SoC verification
Intrinsix
edadesignline.com (January 07, 2010)
Introduction
As more complex, mixed signal System on Chip (SoC) designs continue to stress verification methodologies and schedules, designers need new approaches in solving today's test challenges. Mixed signal verification presents a unique challenge as the analog portion of the design requires highly accurate, and time consuming, analog simulation (Spice for example).
Furthermore, without a digital representation of the analog design, full digital regression simulations are not possible for the SoC. This is insufficient for verifying connectivity and basic functionality of the integrated SoC at the system level. Intrinsix recently evaluated the Cadence Design Systems' Real Number Modeling (RNM) methodology as a possible solution for achieving efficient mixed signal verification.
Intrinsix is a leading supplier of sigma-delta data converter IP. Many of our customers are using Sigma-Delta Modulator (SDM) technology to develop sensors for automotive, consumer and aerospace applications. All of these designs require similar signal processing.
To read the full article, click here
Related Semiconductor IP
- HBM4 PHY IP
- Ultra-Low-Power LPDDR3/LPDDR2/DDR3L Combo Subsystem
- MIPI D-PHY and FPD-Link (LVDS) Combinational Transmitter for TSMC 22nm ULP
- HBM4 Controller IP
- IPSEC AES-256-GCM (Standalone IPsec)
Related Articles
- Mixed Signal Design & Verification Methodology for Complex SoCs
- Modeling and Verification of Mixed Signal IP using SystemVerilog in Virtuoso and NCsim
- Ins and Outs of Assertion in Mixed Signal Verification
- Mixed Signal SoC Applications
Latest Articles
- ElfCore: A 28nm Neural Processor Enabling Dynamic Structured Sparse Training and Online Self-Supervised Learning with Activity-Dependent Weight Update
- A 14ns-Latency 9Gb/s 0.44mm² 62pJ/b Short-Blocklength LDPC Decoder ASIC in 22FDX
- Pipeline Stage Resolved Timing Characterization of FPGA and ASIC Implementations of a RISC V Processor
- Lyra: A Hardware-Accelerated RISC-V Verification Framework with Generative Model-Based Processor Fuzzing
- Leveraging FPGAs for Homomorphic Matrix-Vector Multiplication in Oblivious Message Retrieval