Apple inc. (20240094989). Execution Circuitry for Floating-Point Power Operation simplified abstract

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Execution Circuitry for Floating-Point Power Operation

Organization Name

apple inc.

Inventor(s)

Ali Sazegari of Los Altos CA (US)

Segev Elmalem of Tel-Aviv (IL)

O-Cheng Chang of Cupertino CA (US)

Jingwei Zhang of Santa Clara CA (US)

Ido Soffair of Tel-Aviv (IL)

Aaftab A. Munshi of Los Gatos CA (US)

Execution Circuitry for Floating-Point Power Operation - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240094989 titled 'Execution Circuitry for Floating-Point Power Operation

Simplified Explanation

The patent application describes techniques for dedicated power function circuitry for a floating-point power instruction, aimed at improving performance and reducing power consumption in floating-point power function operations.

  • Execution circuitry is configured to execute a floating-point power instruction to evaluate the power function x^2.
  • Base-2 logarithm circuitry evaluates a base-2 logarithm for a first input (e.g., logx) by determining coefficients for a polynomial function and evaluating the polynomial function using the determined coefficients and the first input.
  • Multiplication circuitry multiplies the base-2 logarithm result by a second input to generate a multiplication result.
  • Base-2 power function circuitry evaluates a base-2 power function for the multiplication result.

Potential Applications

The technology can be applied in various fields such as scientific computing, engineering simulations, financial modeling, and machine learning where floating-point power function operations are commonly used.

Problems Solved

The technology addresses the need for improved performance and reduced power consumption in floating-point power function operations, enhancing overall efficiency in computational tasks.

Benefits

The benefits of this technology include increased performance, reduced power consumption, reasonable area requirements, and improved accuracy in floating-point power function operations compared to traditional techniques.

Potential Commercial Applications

Potential commercial applications of this technology include processors for high-performance computing, data centers, scientific instruments, and other devices requiring efficient floating-point power function calculations.

Possible Prior Art

One possible prior art could be dedicated power function circuitry in specialized hardware accelerators for mathematical computations. Another could be techniques for optimizing floating-point operations in processors for improved efficiency.

Unanswered Questions

How does this technology compare to existing solutions in terms of accuracy and efficiency?

The article does not provide a direct comparison with existing solutions in terms of accuracy and efficiency. It would be helpful to understand how this technology improves upon current methods.

Are there any limitations or constraints in implementing this technology in practical applications?

The article does not mention any limitations or constraints in implementing this technology in practical applications. It would be important to know if there are any challenges that need to be addressed for widespread adoption.


Original Abstract Submitted

techniques are disclosed relating to dedicated power function circuitry for a floating-point power instruction. in some embodiments, execution circuitry is configured to execute a floating-point power instruction to evaluate the power function xas 2. in some embodiments, base-2 logarithm circuitry is configured to evaluate a base-2 logarithm for a first input (e.g., logx) by determining coefficients for a polynomial function and evaluating the polynomial function using the determined coefficients and the first input. in some embodiments, multiplication circuitry multiplies the base-2 logarithm result by a second input to generate a multiplication result. in some embodiments, base-2 power function circuitry is configured to evaluate a base-2 power function for the multiplication result. disclosed techniques may advantageously increase performance and reduce power consumption of floating-point power function operations with reasonable area and accuracy, relative to traditional techniques.