Nvidia corporation (20240354106). SELF-SYNCHRONIZING REMOTE MEMORY OPERATIONS IN A DATA CENTER OR MULTIPROCESSOR SYSTEM simplified abstract

SELF-SYNCHRONIZING REMOTE MEMORY OPERATIONS IN A DATA CENTER OR MULTIPROCESSOR SYSTEM

Organization Name

nvidia corporation

Inventor(s)

Srinivas Santosh Kumar Madugula of Visakhapatnam (IN)

Olivier Giroux of Santa Clara CA (US)

Wishwesh Anil Gandhi of Sunnyvale CA (US)

Michael Allen Parker of San Jose CA (US)

Raghuram L of Bengaluru (IN)

Ivan Tanasic of San Francisco CA (US)

Manan Patel of San Jose CA (US)

Mark Hummel of Franklin MA (US)

Alexander L. Minkin of Los Altos CA (US)

Gregory Michael Thorson of Mequon WI (US)

SELF-SYNCHRONIZING REMOTE MEMORY OPERATIONS IN A DATA CENTER OR MULTIPROCESSOR SYSTEM - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240354106 titled 'SELF-SYNCHRONIZING REMOTE MEMORY OPERATIONS IN A DATA CENTER OR MULTIPROCESSOR SYSTEM

Simplified Explanation: The patent application describes techniques for self-synchronizing remote memory operations in a data center or multiprocessor computing system. This involves transmitting data segments along with metadata to identify memory locations and synchronization objects, improving performance by reducing inter-processor communications.

• Source processor transmits data segments and associated metadata to destination processor.
• Metadata includes information on memory location and synchronization objects.
• Destination processor splits the operation into remote memory and memory synchronization operations.
• Reduces the need for separate memory synchronization operations, enhancing performance.

Key Features and Innovation:

• Self-synchronizing remote memory operations in a data center or multiprocessor system.
• Transmission of data segments with metadata for improved performance.
• Splitting of operations at the destination processor to avoid separate memory synchronization.
• Reduction of inter-processor communications.

Potential Applications: This technology can be applied in:

• Data centers
• Multiprocessor computing systems
• High-performance computing environments

Problems Solved:

• Reduce the need for separate memory synchronization operations.
• Improve performance of remote memory operations.
• Minimize inter-processor communications.

Benefits:

• Enhanced performance in data centers and multiprocessor systems.
• Efficient handling of remote memory operations.
• Simplified synchronization processes.

Commercial Applications: Potential commercial applications include:

• Cloud computing services
• Big data analytics platforms
• High-performance computing solutions

Questions about Self-Synchronizing Remote Memory Operations: 1. How does this technology improve the performance of remote memory operations? 2. What are the key benefits of self-synchronizing remote memory operations?

Frequently Updated Research: Stay updated on advancements in remote memory operations and synchronization techniques to enhance performance in data centers and multiprocessor systems.

Original Abstract Submitted

various embodiments include techniques for performing self-synchronizing remote memory operations in a data center or multiprocessor computing system. during a remote memory operation, a source processor transmits multiple data segments to a destination processor. for each data segment, the source processor transmits a remote memory operation to the destination processor that includes associated metadata that identifies the memory location of a corresponding synchronization object representing a count of data segments to be stored or a flag for each data segment to be stored. the remote memory operation along with the metadata is transmitted as a single unit to the destination processor. the destination processor splits the operation into the remote memory operation and the memory synchronization operation. as a result, the source processor avoids the need to perform a separate memory synchronization operation, thereby reducing inter-processor communications and increasing performance of remote memory operations.