18524391. Accelerated Vector Reduction Operations simplified abstract (SiFive, Inc.)

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Accelerated Vector Reduction Operations

Organization Name

SiFive, Inc.

Inventor(s)

Nicolas Rémi Brunie of San Mateo CA (US)

Kaihsiang Tsao of Hsinchu (TW)

Yueh Chi Wu of Taichung City (TW)

Accelerated Vector Reduction Operations - A simplified explanation of the abstract

This abstract first appeared for US patent application 18524391 titled 'Accelerated Vector Reduction Operations

Simplified Explanation

The patent application describes systems and methods for accelerating vector-reduction operations by efficiently combining elements of a vector.

  • The system includes a vector register file to store register values and an execution circuitry to read, partition, and combine elements of a vector.
  • The method involves reading a vector, splitting it into subsets based on indices, and applying a reduction operation to combine elements from the subsets.

Key Features and Innovation

  • Utilizes a vector register file to store register values efficiently.
  • Partitions elements of a vector into subsets for optimized processing.
  • Applies a reduction operation to combine elements from different subsets effectively.

Potential Applications

This technology can be applied in:

  • High-performance computing systems
  • Data processing applications
  • Signal processing algorithms

Problems Solved

  • Accelerates vector-reduction operations
  • Improves efficiency in combining elements of vectors
  • Enhances performance in processing large datasets

Benefits

  • Faster execution of vector-reduction operations
  • Reduced processing time for complex algorithms
  • Improved overall system performance

Commercial Applications

  • "Accelerated Vector-Reduction Operations for High-Performance Computing Systems": This technology can be utilized in supercomputers and data centers to enhance computational speed and efficiency.

Prior Art

Information on prior art related to this technology is currently unavailable.

Frequently Updated Research

There is ongoing research in the field of vector processing and optimization techniques for high-performance computing systems.

Questions about Accelerated Vector-Reduction Operations

How does this technology improve processing efficiency in high-performance computing systems?

This technology improves processing efficiency by efficiently combining elements of vectors, reducing the overall processing time for complex algorithms.

What are the potential implications of this technology in signal processing applications?

This technology can significantly enhance signal processing algorithms by accelerating vector-reduction operations, leading to faster and more efficient data processing.


Original Abstract Submitted

Systems and methods are disclosed for accelerated vector-reduction operations. Some systems may include a vector register file configured to store register values of an instruction set architecture in physical registers; and an execution circuitry configured to, responsive to a folding micro-op: read a vector from a physical register of the vector register file or from bypass circuitry; partition the elements of the vector into a first subset of elements with even indices and a second subset with elements with odd indices; and apply a reduction operation to combine elements from the second subset of elements with corresponding elements from the first subset of elements to obtain a set of reduced elements.