Facilitating Complex SoC Design Through Automation And Integration

The design demands of today’s highly advanced system-on-chip (SoC) devices have long outgrown the capabilities of manual workflows to manage them effectively. As these chips become more complex, only sophisticated, high-performance, and scalable automation can ensure that every component of the SoC functions seamlessly.

The SoC integration challenge

A fundamental aspect of SoC design is the integration of intellectual property (IP), typically delivered as reusable functional blocks. Many IPs, including central processing units, graphics processing units, and memory subsystems and controllers, are sourced from trusted third-party vendors. In addition, internally developed IP cores are also used. Customizing these IPs creates differentiation for the SoC relative to competing designs. An example is a neural processing unit, which is designed to perform artificial intelligence and machine learning tasks much faster than traditional processors and accelerators while consuming significantly less power.

At the system level, SoC integration is the process of gathering all IPs into a complete device. Today’s SoCs can contain hundreds to thousands of IPs, each with tens or hundreds of millions of transistors. Some IPs include internal subsystems, resulting in SoCs with billions of transistors. With this increase in complexity, integration challenges surface at the boundaries between hardware, software, and system connectivity.

At advanced nodes, the challenge is no longer just logical integration but physical and behavioral coordination. Wire delay increasingly dominates gate delay, and data movement, not compute, becomes the primary system bottleneck. At larger scales, data movement between IP blocks is typically handled by network-on-chip (NoC) interconnects, which must be designed and configured as part of the overall system.

Managing system boundaries at scale

Arteris addresses these integration challenges through design-time IP that supports system definition and coordination across hardware, software, and on-chip connectivity. Magillem Registers is used to define and manage the hardware-software interface (HSI) in SoC designs. The HSI sits between IP blocks and the software running on system processors and includes registers and memory maps that must be interpreted consistently by multiple teams. As systems grow, maintaining alignment between hardware implementation and software expectations becomes more difficult when register information is managed using separate files or manual processes.

Registers and memory maps are defined in a centralized representation that serves as a single source of truth shared across hardware design, software development, verification, and documentation. This representation can be used to generate the artifacts required by each group, such as hardware register logic, software header files, and verification models, as shown in Figure 1. Using a single definition reduces the likelihood of mismatches and simplifies updates as the design changes.

Fig. 1: Magillem Registers provides an HSI foundation for design innovation. (Source: Arteris, Inc.)

Magillem Packaging is used in SoC projects where IP must be brought together from multiple sources and reused across designs. IP blocks may come from different internal teams or third-party vendors and are often documented using different conventions. As the number of IPs increases, maintaining a clear, consistent understanding of interfaces, configuration options, and address-related information becomes difficult to manage using informal descriptions alone.

The information captured includes interface definitions, configuration parameters, and memory map intent. Recording this information in a single, consistent representation allows it to be referenced during system assembly and reuse without re-deriving details from source code or documentation. Over time, this reduces the effort required to integrate existing IP into new designs and lowers the risk of inconsistencies as IP evolves or is combined with other blocks.

From connectivity to generated architecture

At larger scales, data movement between IP blocks is handled by NoC interconnects. Still, their role has fundamentally shifted from simple connectivity fabrics to system-level architectural elements.

In modern SoCs, interconnect design must account for traffic behavior, latency targets, bandwidth distribution, and physical constraints such as floorplanning and wire length. This becomes critical as systems scale to hundreds or thousands of endpoints, where manual interconnect design does not scale, and iterative refinement quickly becomes a bottleneck.

Traditional approaches treat interconnect as a separate step, configured after IP integration. However, as system complexity grows, this separation becomes inefficient and error-prone. Connectivity decisions directly impact performance, power, and timing closure, and therefore must be considered alongside IP definition and system architecture from the outset.

To address this, Arteris extends beyond manually configured interconnect IP with FlexGen, which builds on proven NoC technology to automate the generation of optimized system connectivity. Rather than manually designing and tuning the interconnect, FlexGen uses system-level inputs, such as IP characteristics, traffic requirements, memory maps, and physical constraints, to synthesize an architecture that meets performance and implementation goals.

This shifts interconnect design from a manual, expert-driven, and iterative task into a structured and repeatable process. The resulting NoC architecture is not predefined but generated to reflect the specific needs of the SoC, including topology selection, routing strategies, and resource allocation, as shown in Figure 2 below.

Importantly, this approach aligns connectivity with the same system definitions used for IP packaging and hardware-software integration. Because FlexGen operates on consistent inputs used by Magillem Packaging and Magillem Registers, the generated interconnect reflects interface definitions, address maps, and system intent. This eliminates the need for manual reconciliation across teams.

By integrating interconnect generation into the broader system design flow, teams can explore architectural trade-offs earlier and more efficiently. Decisions that previously required manual redesign, such as scaling bandwidth, managing congestion, or adapting to floorplan constraints, can now be evaluated and implemented with significantly less effort.

Fig. 2: FlexGen provides AI-enhanced automation for smarter SoC and chiplet designs. (Source: Arteris, Inc.)

When integration becomes architecture

As SoC designs continue to scale, integration requires a complete system-level discipline rather than a collection of isolated implementation tasks. The boundaries between IP reuse, interconnect design, and hardware-software integration are no longer independent, and treating them as such increases both risk and development costs.

This shift reflects a broader industry reality. Performance is increasingly determined by how efficiently data moves through the system, how predictably traffic behaves under load, and how well physical implementation constraints are accounted for early in the design process. Successful integration increasingly depends on consistent system definitions and automated flows that can span hardware, software, and connectivity without relying on manual coordination.

Conclusion

When used together, Magillem Registers, Magillem Packaging, and FlexGen from Arteris support a unified system-level approach to SoC design. Registers define software-visible behavior, packaging captures reusable IP intent, and FlexGen translates these system definitions into an optimized connectivity architecture.

Rather than treating integration, connectivity, and software interfaces as separate concerns, this approach enables a coordinated design flow in which system intent is consistently applied across all domains.

The result is a shift away from manual integration toward generated architecture. This allows SoC teams to reduce development effort, improve predictability, and focus on architectural differentiation rather than implementation complexity. Learn more at arteris.com