Processor architecture is the most crucial part of chip design, determining how the chip processes and executes instructions. Common processor architectures include CISC (Complex Instruction Set Computer) and RISC (Reduced Instruction Set Computer). RISC architecture is simpler and more efficient, capable of executing instructions in shorter clock cycles, and is widely used in modern chip design. Memory system architecture determines the method and speed of data access. Common architectures include hierarchical memory structures, such as registers, caches, main memory, and external memory. The design must balance speed and capacity to ensure efficient data flow. Bus architecture is used to transfer data between different modules within the chip. A chip may contain multiple buses, such as data buses, address buses, and control buses. The design of the bus architecture affects the bandwidth and latency of data transfer.
The world’s leading hyperscale cloud data center companies, including Amazon, Google, Meta, Microsoft, Oracle, and Akamai, are launching heterogeneous multi-core architectures specifically designed for cloud computing, which is impacting the development of high-performance CPUs across the entire chip industry.
These chips are unlikely to be commercially available. They are optimized for specific data types and workloads and have large design budgets, but costs can be saved by improving performance and reducing power consumption. The industry's goal is to pack more computing power into a smaller area while reducing cooling costs, and the best way to achieve this is through custom architectures, tightly integrated microarchitectures, and well-designed dataflow.
This trend began nearly a decade ago when AMD started adopting heterogeneous architectures and accelerated processing units to replace the previous homogeneous multi-core CPU model, but its initial development was slow. Since then, heterogeneous architectures have emerged, closely following designs for mobile consumer devices that require very compact footprints and stringent power consumption and thermal requirements.
"Industry giants like Intel have an AI NPU in almost every product code of their monolithic silicon," said Steve Roddy, VP of Marketing at Quadric. "Of course, AI pioneer Nvidia has long mixed CPU, CUDA, and Tensor cores in its hugely successful data center products. The shift to chipsets in the coming years will solidify this transition, as system buyers can choose the types of compute and interconnects based on the specific needs of their design sockets, thus determining the chipset combination."
This is largely due to physics and economics. As the scaling advantage diminishes and advanced packaging technologies mature—allowing for more custom features to be added to designs that were previously limited by mesh size—the competition for performance per watt and per dollar has become fierce.
Input/output interfaces define the communication methods between the chip and external devices. These include standard communication protocols such as SPI, I2C, and UART, and can also support high-bandwidth interfaces such as PCIe and USB. Depending on the application requirements, the architecture may support parallel processing (multiple processing units working simultaneously) or serial computing (a single processing unit processing tasks one by one). Parallel computing architectures are often used for high-performance computing and graphics processing. To improve the processing efficiency of specific tasks, the chip architecture may integrate hardware accelerators, such as GPUs (Graphics Processing Units) or dedicated AI accelerators. These accelerators can provide optimized hardware support for specific application scenarios.
Power management is an indispensable part of chip design, especially in mobile and IoT devices. Chip architecture needs to include multiple power modes, such as standby mode, low-power mode, and full-power mode, to adapt to different operating states. The goal of chip architecture design is to achieve a balance between functionality, performance, power consumption, and area (FPA). A good chip architecture can effectively improve the overall system performance, optimize power consumption, and ensure that design tasks are completed within cost and time constraints. Therefore, during chip development, architects need to formulate reasonable architectural solutions based on the chip's application scenarios, market demands, and technological limitations.
A chip design framework refers to a complete set of design processes and specifications established during the design and manufacturing of chips to achieve the expected functions and performance. This framework encompasses multiple stages, from requirements analysis and architecture design to detailed design and verification, ensuring the comprehensiveness and accuracy of the chip design. Simply put, a chip design framework is a blueprint guiding us on how to design chips systematically and methodically. As the core of modern electronic devices, the design process of chips is complex and meticulous. A good design framework ensures the smooth progress of a project, reduces blind spots and errors in the design process, and improves design efficiency. Simultaneously, it facilitates communication and collaboration among team members, ensuring that various departments can form an effective synergy during the design process.
1. Requirements Analysis Phase: In this phase, the design team needs to clearly define the chip's expected functions, performance parameters, and interface requirements with other systems. These requirements will serve as guiding principles for subsequent design.
2. Architecture Design Phase: After clarifying the requirements, the design team needs to develop a reasonable architecture plan. This phase mainly focuses on the overall chip layout, module division, and data flow processing methods.
3. Detailed Design Phase: Based on the architecture design, the design team needs to complete the circuit design, logic design, and layout drawing of each module. This phase requires ensuring that all functions and performance indicators of the chip meet the expected requirements.
4. Verification Phase: After the detailed design is completed, the design team needs to verify the chip's functionality and performance through various testing methods. This phase is a critical step in ensuring chip quality.
Through the detailed explanation above, we can understand its importance and guiding significance in the entire chip design process. A good design framework can not only improve design efficiency but also ensure that the chip's performance and quality meet expected requirements. Therefore, in practical work, we should fully value and follow the guiding principles of the design framework to ensure the successful implementation of the project. Chip architecture design needs to consider many factors, including functionality, reliability, scalability, and manufacturability. We will explain these factors in detail below.
The chip architecture should meet the application's requirements, including processor speed, storage capacity, and input/output interfaces. The chip's components should be adapted to specific application scenarios and target users to achieve optimal performance and efficiency. For example, for artificial intelligence applications, the chip architecture needs high computing power and excellent image and speech recognition capabilities; for IoT devices, the chip architecture should feature low power consumption and small size. The chip architecture should ensure reliability and stability. Chip design needs to consider factors such as interference immunity, fault tolerance, and aging resistance to ensure chip stability in the operating environment. For example, for automotive electronics, the chip architecture needs to be designed with high reliability, strong interference immunity, and high temperature resistance to ensure passenger safety and comfort. The chip architecture should be scalable and compatible. Chip design needs to consider future changes in requirements to adapt to new functionalities and technological advancements. The chip architecture should support chip upgrades and updates while being compatible with different interfaces and transmission protocols. For example, many smartphones now support USB Type-C interfaces, which support fast charging and high-speed data transfer, and will enable even more functions in the future.
Chip architecture should take into account factors such as manufacturing processes and costs. It should optimize chip layout and packaging to reduce chip area and power consumption. Chip design needs to adapt to new manufacturing processes to improve manufacturing efficiency and reduce costs. For example, many manufacturers are now promoting 7nm processes, which can improve chip performance-to-power ratio and reduce chip size, allowing for the production of more wafers. Chip architecture can be classified according to the type of integrated circuit, such as microprocessors, memory, analog circuits, and digital signal processors. A microprocessor is an integrated circuit used to control electronic devices. Microprocessor architecture can be divided into two types: RISC and CISC. RISC (Reduced Instruction Set Computer) computers have fewer instructions and more efficient instruction processing, such as Intel's ARM processors. CISC (Complex Instruction Set Computer) computers have more instructions and multi-step instruction operations, such as Intel's x86 processors. Microprocessor architecture can also be classified according to application areas, such as automotive electronics and network routers.
