Google llc (20240160948). PROCESSING COMPUTATIONAL GRAPHS simplified abstract
Contents
- 1 PROCESSING COMPUTATIONAL GRAPHS
PROCESSING COMPUTATIONAL GRAPHS
Organization Name
Inventor(s)
Paul A. Tucker of Los Altos CA (US)
Jeffrey Adgate Dean of Palo Alto CA (US)
Sanjay Ghemawat of Mountain View CA (US)
PROCESSING COMPUTATIONAL GRAPHS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240160948 titled 'PROCESSING COMPUTATIONAL GRAPHS
Simplified Explanation
The patent application describes methods, systems, and apparatus for processing a computational graph by partitioning it into subgraphs and assigning operations to available devices for efficient computation.
- Receiving a request from a client to process a computational graph
- Obtaining data representing the computational graph with nodes and directed edges
- Identifying available devices for performing operations
- Partitioning the computational graph into subgraphs
- Assigning operations to available devices for computation
Potential Applications
This technology could be applied in distributed computing systems, machine learning algorithms, and parallel processing tasks.
Problems Solved
Efficient allocation of computational resources, optimization of processing tasks, and improved performance in handling complex operations.
Benefits
Reduced processing time, enhanced scalability, improved resource utilization, and increased overall system efficiency.
Potential Commercial Applications
"Optimizing Computational Graph Processing for Distributed Systems"
Possible Prior Art
Prior art may include research on distributed computing, parallel processing algorithms, and optimization techniques for computational graphs.
Unanswered Questions
How does this technology handle failures in the assigned devices during computation?
The patent application does not specify how the system deals with device failures during the processing of the computational graph. This aspect is crucial for ensuring the reliability and fault tolerance of the system.
What is the impact of network latency on the performance of the distributed computation process?
The abstract does not address the potential effects of network latency on the efficiency and speed of processing the computational graph across multiple devices. Understanding this aspect is essential for optimizing the system's performance in real-world applications.
Original Abstract Submitted
methods, systems, and apparatus, including computer programs encoded on computer storage media, for receiving a request from a client to process a computational graph; obtaining data representing the computational graph, the computational graph comprising a plurality of nodes and directed edges, wherein each node represents a respective operation, wherein each directed edge connects a respective first node to a respective second node that represents an operation that receives, as input, an output of an operation represented by the respective first node; identifying a plurality of available devices for performing the requested operation; partitioning the computational graph into a plurality of subgraphs, each subgraph comprising one or more nodes in the computational graph; and assigning, for each subgraph, the operations represented by the one or more nodes in the subgraph to a respective available device in the plurality of available devices for operation.
