18618901. CLOUD-BASED SCALE-UP SYSTEM COMPOSITION simplified abstract (Intel Corporation)

CLOUD-BASED SCALE-UP SYSTEM COMPOSITION

Organization Name

Intel Corporation

Inventor(s)

Mohan J. Kumar of Aloha OR (US)

Murugasamy K. Nachimuthu of Beaverton OR (US)

Krishna Bhuyan of Sammamish WA (US)

CLOUD-BASED SCALE-UP SYSTEM COMPOSITION - A simplified explanation of the abstract

This abstract first appeared for US patent application 18618901 titled 'CLOUD-BASED SCALE-UP SYSTEM COMPOSITION

The abstract describes technologies for composing a managed node with multiple processors on multiple compute sleds to cooperatively execute a workload. This includes a memory, processors connected to the memory, and an accelerator with a coherence logic unit.

• The accelerator receives a node configuration request to execute a workload, identifying the compute sled and a second compute sled to be included in the managed node.
• The coherence logic unit modifies local working data associated with the workload on the compute sled in the memory, determines coherence data indicative of the modification, and sends the coherence data to the second compute sled.

Potential Applications: - High-performance computing - Data processing and analytics - Artificial intelligence and machine learning tasks

Problems Solved: - Efficient workload execution across multiple processors - Improved data coherence and synchronization - Enhanced performance in parallel computing tasks

Benefits: - Increased processing power and speed - Better utilization of resources - Enhanced scalability for complex workloads

Commercial Applications: Title: "Multi-Processor Managed Node Technology for High-Performance Computing" This technology can be used in industries such as: - Cloud computing providers - Research institutions - Financial services for data analysis

Prior Art: Researchers can explore prior patents related to multi-processor systems, workload distribution, and data coherence in parallel computing environments.

Frequently Updated Research: Stay updated on advancements in multi-processor systems, workload optimization, and data coherence algorithms for high-performance computing.

Questions about Multi-Processor Managed Node Technology: 1. How does this technology improve workload execution efficiency? 2. What are the key benefits of utilizing multiple processors on multiple compute sleds for workload processing?

Original Abstract Submitted

Technologies for composing a managed node with multiple processors on multiple compute sleds to cooperatively execute a workload include a memory, one or more processors connected to the memory, and an accelerator. The accelerator further includes a coherence logic unit that is configured to receive a node configuration request to execute a workload. The node configuration request identifies the compute sled and a second compute sled to be included in a managed node. The coherence logic unit is further configured to modify a portion of local working data associated with the workload on the compute sled in the memory with the one or more processors of the compute sled, determine coherence data indicative of the modification made by the one or more processors of the compute sled to the local working data in the memory, and send the coherence data to the second compute sled of the managed node.