18099627. DATA ACCUMULATION simplified abstract (Arm Limited)
Contents
DATA ACCUMULATION
Organization Name
Inventor(s)
Dominic Hugo Symes of Cambridgeshire (GB)
John Wakefield Brothers, Iii of Calistoga CA (US)
Jens Olson of San Jose CA (US)
Peter Mattias Hansson of Löddeköpinge (SE)
DATA ACCUMULATION - A simplified explanation of the abstract
This abstract first appeared for US patent application 18099627 titled 'DATA ACCUMULATION
Simplified Explanation:
The patent application describes a processor that generates accumulated data by performing operations on sets of input data and storing the results in multiple storage devices.
Key Features and Innovation:
- Processor performs operations on input data and accumulates results in storage devices.
- Accumulated data is shifted between storage devices for further processing.
- Processor generates new accumulated data by performing operations on additional input data sets.
Potential Applications: This technology could be used in various data processing systems where efficient accumulation and manipulation of data is required, such as in financial analysis, scientific research, and artificial intelligence.
Problems Solved: This technology addresses the need for a processor that can efficiently perform operations on large sets of data and store the results for further processing without losing accuracy or speed.
Benefits:
- Improved data processing efficiency.
- Enhanced storage and manipulation capabilities.
- Increased accuracy and speed of operations.
Commercial Applications: Potential commercial applications of this technology include data analytics platforms, cloud computing services, and high-performance computing systems. This innovation could revolutionize the way large-scale data processing is handled in various industries.
Prior Art: Readers interested in prior art related to this technology could start by researching patents and publications in the fields of data processing, computer architecture, and storage systems.
Frequently Updated Research: Researchers in the fields of data processing and computer architecture are constantly exploring new ways to improve the efficiency and speed of data manipulation. Stay updated on the latest advancements in these areas to understand the full potential of this technology.
Questions about the Technology: 1. How does this technology compare to existing data processing systems in terms of efficiency and speed? 2. What are the potential limitations of this technology in handling extremely large datasets?
Original Abstract Submitted
A processor to generate accumulated data comprising, for an operation cycle: performing an operation on a first bit range of a set of first input data to generate a set of operation data, which is accumulated with stored data within a first storage device. A lowest n bits of the accumulated data are accumulated with first further stored data within a first bit range of a second storage device, and are bit-shifted from the first storage device. Further accumulated data is generated, comprising, for an operation cycle: performing the operation on a second bit range of the set of first input data to generate a further set of operation data, which is accumulated with the stored data within the first storage device. A lowest m bits of the further accumulated data is accumulated with second further stored data within a second bit range of the second storage device.
