Invention Title:

FULLY CONFIGURABLE FLOATING-POINT FORMAT

Publication number:

US20250291547

Publication date:
Section:

Physics

Class:

G06F7/483

Inventor:

Assignee:

Applicant:

Smart overview of the Invention

A graphics processor is designed with a modular architecture featuring a base die that includes multiple chiplet sockets. These sockets are populated with chiplets, each potentially housing a graphics processing cluster. The modular design allows for scalable configurations, adapting to different computational needs by adding or removing chiplets as required.

Graphics Processing Cluster

Within the chiplets, the graphics processing cluster is composed of various processing resources. These resources are specialized units capable of handling complex graphics computations. The architecture supports parallel processing, enhancing the speed and efficiency of rendering tasks by distributing workloads across multiple processing units.

Dynamic Precision Floating-Point Unit

A key feature of this processor is its dynamic precision floating-point unit (FPU). This unit is equipped with floating-point circuitry that can process data using a configurable floating-point format. The format allows for a variable number of bits dedicated to the exponent and mantissa, providing flexibility in precision and range based on the specific computational requirements.

Configurable Floating-Point Format

The configurable floating-point format enables optimization for different types of calculations by adjusting the balance between precision and dynamic range. This adaptability is crucial for applications that demand varying levels of numerical accuracy, such as high-performance computing and real-time graphics rendering.

Benefits and Applications

The architecture's flexibility, combined with the dynamic precision FPU, offers significant advantages in terms of performance and power efficiency. By tailoring the floating-point format to specific tasks, it reduces unnecessary computational overhead and optimizes resource utilization. This technology is particularly beneficial in fields requiring intensive data processing, including gaming, simulation, and scientific research.