Nvidia corporation (20240176663). TENSOR MAP CACHE STORAGE simplified abstract
Contents
- 1 TENSOR MAP CACHE STORAGE
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 TENSOR MAP CACHE STORAGE - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 How does this technology compare to existing methods of storing tensor maps in cache storages?
- 1.11 What are the specific technical specifications of the tensor acceleration logic circuits mentioned in the patent application?
- 1.12 Original Abstract Submitted
TENSOR MAP CACHE STORAGE
Organization Name
Inventor(s)
Gokul Ramaswamy Hirisave Chandra Shekhara of Bangalore (IN)
Alexander Lev Minkin of Los Altos CA (US)
Harold Carter Edwards of Campbell CA (US)
Yashwardhan Narawane of San Jose CA (US)
TENSOR MAP CACHE STORAGE - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240176663 titled 'TENSOR MAP CACHE STORAGE
Simplified Explanation
The patent application describes apparatuses, systems, and techniques for storing one or more tensor maps in cache storages using tensor acceleration logic circuits in a processor.
- One or more tensor maps are stored in cache storages.
- Processor includes tensor acceleration logic circuits.
- Tensor acceleration logic circuits cause storage of tensor maps in cache storages.
Potential Applications
This technology could be applied in various fields such as artificial intelligence, machine learning, data analysis, and image processing.
Problems Solved
This technology solves the problem of efficiently storing and accessing tensor maps, which are essential for complex computational tasks.
Benefits
The benefits of this technology include faster processing speeds, reduced latency, improved performance in tensor-related operations, and overall optimization of computational tasks.
Potential Commercial Applications
A potential commercial application of this technology could be in the development of high-performance computing systems for industries such as healthcare, finance, and autonomous vehicles.
Possible Prior Art
One possible prior art could be the use of cache memory in processors to store and retrieve data quickly, but the specific application to tensor maps using tensor acceleration logic circuits may be a novel approach.
Unanswered Questions
How does this technology compare to existing methods of storing tensor maps in cache storages?
The article does not provide a direct comparison to existing methods, leaving the reader to wonder about the advantages and disadvantages of this new approach.
What are the specific technical specifications of the tensor acceleration logic circuits mentioned in the patent application?
The article does not delve into the technical details of the tensor acceleration logic circuits, leaving a gap in understanding the inner workings of this technology.
Original Abstract Submitted
apparatuses, systems, and techniques to store one or more tensor maps in one or more cache storages. in at least one embodiment, a processor includes one or more tensor acceleration logic circuits to cause one or more tensor maps to be stored in one or more cache storages.
