Intel corporation (20240345990). Multi-tile Memory Management for Detecting Cross Tile Access Providing Multi-Tile Inference Scaling and Providing Page Migration simplified abstract

Multi-tile Memory Management for Detecting Cross Tile Access Providing Multi-Tile Inference Scaling and Providing Page Migration

Organization Name

intel corporation

Inventor(s)

Lakshminarayanan Striramassarma of Folsom CA (US)

Prasoonkumar Surti of Folsom CA (US)

Varghese George of Folsom CA (US)

Ben Ashbaugh of Folsom CA (US)

Aravindh Anantaraman of Folsom CA (US)

Valentin Andrei of San Jose CA (US)

Abhishek Appu of El Dorado Hills CA (US)

Nicolas Galoppo Von Borries of Portland OR (US)

Altug Koker of El Dorado Hills CA (US)

Mike Macpherson of Portland OR (US)

Subramaniam Maiyuran of Gold River CA (US)

Nilay Mistry of Bangalore (IN)

Elmoustapha Ould-ahmed-vall of Chandler AZ (US)

Selvakumar Panneer of Portland OR (US)

Vasanth Ranganathan of El Dorado Hills CA (US)

Joydeep Ray of Folsom CA (US)

Ankur Shah of Folsom CA (US)

Saurabh Tangri of Folsom CA (US)

Multi-tile Memory Management for Detecting Cross Tile Access Providing Multi-Tile Inference Scaling and Providing Page Migration - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240345990 titled 'Multi-tile Memory Management for Detecting Cross Tile Access Providing Multi-Tile Inference Scaling and Providing Page Migration

Simplified Explanation: This patent application discloses a multi-tile memory management system for detecting cross-tile access, enabling multi-tile inference scaling through data multicasting, and facilitating page migration in a graphics processor for a multi-tile architecture.

• Key Features and Innovation:

   - Graphics processor with multiple GPUs and memory controllers.
   - Detection of frequent cross-tile memory accesses.
   - Initiation of data transfer mechanism for efficient data sharing.
   - Support for multi-tile inference scaling through multicasting.
   - Capability for page migration to optimize memory usage.

• Potential Applications:

   - High-performance computing.
   - Artificial intelligence and machine learning applications.
   - Graphics rendering and processing.
   - Data center and cloud computing environments.

• Problems Solved:

   - Efficient detection and management of cross-tile memory accesses.
   - Scalability of multi-tile inference processing.
   - Optimization of memory usage and data transfer.

• Benefits:

   - Improved performance in multi-GPU configurations.
   - Enhanced scalability for complex computing tasks.
   - Reduced latency in data sharing between GPUs.
   - Efficient memory management for large-scale applications.

• Commercial Applications:

   - Data centers and cloud computing providers.
   - AI and machine learning companies.
   - Gaming and graphics processing industries.
   - High-performance computing facilities.

• Prior Art:

   - Prior research on memory management in multi-GPU systems.
   - Studies on data transfer mechanisms in parallel computing environments.

• Frequently Updated Research:

   - Ongoing developments in multi-tile memory management.
   - Latest advancements in multi-GPU architecture for efficient data sharing.

Questions about multi-tile memory management:

1. How does multi-tile memory management improve performance in graphics processors?

  - Multi-tile memory management enhances performance by optimizing data sharing between GPUs, reducing latency, and improving memory utilization.

2. What are the potential challenges in implementing page migration for memory optimization in multi-GPU configurations?

  - Implementing page migration may face challenges related to data consistency, synchronization between GPUs, and efficient tracking of memory pages across tiles.

Original Abstract Submitted

multi-tile memory management for detecting cross tile access, providing multi-tile inference scaling with multicasting of data via copy operation, and providing page migration are disclosed herein. in one embodiment, a graphics processor for a multi-tile architecture includes a first graphics processing unit (gpu) having a memory and a memory controller, a second graphics processing unit (gpu) having a memory and a cross-gpu fabric to communicatively couple the first and second gpus. the memory controller is configured to determine whether frequent cross tile memory accesses occur from the first gpu to the memory of the second gpu in the multi-gpu configuration and to send a message to initiate a data transfer mechanism when frequent cross tile memory accesses occur from the first gpu to the memory of the second gpu.