18536581. APPARATUS AND METHOD FOR MANAGING DATA BIAS IN A GRAPHICS PROCESSING ARCHITECTURE simplified abstract (Intel Corporation)

APPARATUS AND METHOD FOR MANAGING DATA BIAS IN A GRAPHICS PROCESSING ARCHITECTURE

Organization Name

Intel Corporation

Inventor(s)

Joydeep Ray of Folsom CA (US)

Abhishek R. Appu of El Dorado Hills CA (US)

Altug Koker of El Dorado Hills CA (US)

Balaji Vembu of Folsom CA (US)

APPARATUS AND METHOD FOR MANAGING DATA BIAS IN A GRAPHICS PROCESSING ARCHITECTURE - A simplified explanation of the abstract

This abstract first appeared for US patent application 18536581 titled 'APPARATUS AND METHOD FOR MANAGING DATA BIAS IN A GRAPHICS PROCESSING ARCHITECTURE

Simplified Explanation

The patent application describes an apparatus and method for managing data biased towards a processor or a GPU. The apparatus includes a processor with cores, cache levels, and cache coherence controllers, a GPU for graphics processing, a shared virtual address space for the GPU and processor cores, GPU memory addressable through the virtual address space, and bias management circuitry to indicate whether the data has a processor bias or a GPU bias.

• The apparatus includes a processor with one or more cores, cache levels, and cache coherence controllers.
• It also includes a GPU for executing graphics instructions and processing graphics data.
• The GPU and processor cores share a virtual address space for accessing system memory.
• The apparatus has bias management circuitry to store an indication of whether the data has a processor bias or a GPU bias.
• If the data has a GPU bias, it can be accessed by the GPU without necessarily accessing the processor's cache coherence controllers.

Potential Applications

This technology could be applied in systems where both processors and GPUs are used for different tasks but need to access shared data efficiently.

Problems Solved

This technology solves the problem of efficiently managing data biased towards either a processor or a GPU in a system where both are present.

Benefits

The benefits of this technology include improved data access efficiency, better utilization of resources, and optimized performance for systems with both processors and GPUs.

Potential Commercial Applications

One potential commercial application of this technology could be in gaming computers or workstations where both processors and GPUs are used extensively for different tasks.

Possible Prior Art

One possible prior art for this technology could be systems that manage data access between processors and specialized hardware units, but with a focus on bias management towards either processors or GPUs specifically.

How does this technology impact overall system performance?

This article does not delve into the specific performance improvements or trade-offs that may result from implementing this technology. Further research or testing would be needed to determine the exact impact on system performance.

What are the potential security implications of bias management in data access?

The article does not address any security concerns or implications that may arise from bias management in data access between processors and GPUs. It would be important to consider potential vulnerabilities or risks associated with this technology in a real-world system.

Original Abstract Submitted

An apparatus and method are described for managing data which is biased towards a processor or a GPU. For example, an apparatus comprises a processor comprising one or more cores, one or more cache levels, and cache coherence controllers to maintain coherent data in the one or more cache levels; a graphics processing unit (GPU) to execute graphics instructions and process graphics data, wherein the GPU and processor cores are to share a virtual address space for accessing a system memory; a GPU memory addressable through the virtual address space shared by the processor cores and GPU; and bias management circuitry to store an indication for whether the data has a processor bias or a GPU bias, wherein if the data has a GPU bias, the data is to be accessed by the GPU without necessarily accessing the processor's cache coherence controllers.