Why verification matters in network-on-chip (NoC) design
By Zifei Huang, Adeel Liaquat and Ashish Darbari (Axiomise)
EDN (May 21, 2024)
In the rapidly evolving semiconductor industry, keeping pace with Moore’s Law presents opportunities and challenges, particularly in system-on-chip (SoC) designs. Notably, the number of transistors in microprocessors soared to an unprecedented trillion.
Therefore, as modern applications demand increasing complexity and functionality, improving transistor usage efficiency without sacrificing energy efficiency has become a key goal. Thus, the network-on-chip (NoC) concept has been introduced, a solution designed to address the limitations of traditional bus-based systems by enabling efficient, scalable, and flexible on-chip data transmission.
Designing an NoC involves defining requirements, selecting an architecture, choosing a routing algorithm, planning the physical layout, and conducting verification to ensure performance and reliability. As the final checkpoint before a NoC can be deemed ready for deployment, a deadlock/livelock-free system can be built, increasing confidence in design verification.
In this article, we will dive deeper into a comprehensive methodology for formally verifying an NoC, showcasing the approaches and techniques that ensure our NoC designs are robust, efficient, and ready to meet the challenges of modern computing environments.
To read the full article, click here
Related Semiconductor IP
- Zigbee Transceiver PHY
- Data Flow Architecture IP
- AMBA SPI Controller MRAM Controller
- Ethernet MAC
- Protocol Bridges
Related Articles
- Why network-on-chip IP in SoC must be physically aware
- SoC design: When is a network-on-chip (NoC) not enough?
- Breaking Barriers in SoC Design with Smart NoC Automation
- Why Embedded Software Development Still Matters: Optimizing a Computer Vision Application on the ARM Cortex A8
Latest Articles
- A Low-Latency ASIC Architecture for Real-Time Line Segment Detection
- BitFair: A 12nm Bit-Serial CNN Accelerator with Learnable Early Termination and Adaptive Bit Ordering for Ultra-Low-Power XR Vision
- A Flexible Sparsity-Aware FPGA Accelerator with Column-Wise Compression for Efficient CNN Inference
- Reducing Instruction-Fetch Energy in RISC-V for Embedded AI Processing via Dynamic and Static Loop Caching
- SPARC: Automated Root-Cause Analysis of Pre-Silicon Power Side-Channel Leakage in the Processor Design Flow