View source for 18472303. COMPUTER-READABLE RECORDING MEDIUM STORING TENSOR NETWORK CONTRACTION CONTROL PROGRAM, TENSOR NETWORK CONTRACTION CONTROL METHOD, AND INFORMATION PROCESSING APPARATUS simplified abstract (Fujitsu Limited)

=COMPUTER-READABLE RECORDING MEDIUM STORING TENSOR NETWORK CONTRACTION CONTROL PROGRAM, TENSOR NETWORK CONTRACTION CONTROL METHOD, AND INFORMATION PROCESSING APPARATUS=


==Organization Name==

[[:Category:Fujitsu Limited|Fujitsu Limited]]


[[Category:Fujitsu Limited]]

==Inventor(s)==

[[:Category:Takanori Nakao of Kawasaki (JP)|Takanori Nakao of Kawasaki (JP)]][[Category:Takanori Nakao of Kawasaki (JP)]]

==COMPUTER-READABLE RECORDING MEDIUM STORING TENSOR NETWORK CONTRACTION CONTROL PROGRAM, TENSOR NETWORK CONTRACTION CONTROL METHOD, AND INFORMATION PROCESSING APPARATUS - A simplified explanation of the abstract==


This abstract first appeared for US patent application 18472303 titled 'COMPUTER-READABLE RECORDING MEDIUM STORING TENSOR NETWORK CONTRACTION CONTROL PROGRAM, TENSOR NETWORK CONTRACTION CONTROL METHOD, AND INFORMATION PROCESSING APPARATUS

The patent application describes a computer program that controls the contraction of a tensor network based on available memory capacity and the number of edges in the network.

* The program determines if the contraction of a tensor network with multiple interconnected tensors can be done within the available memory capacity.
* It assesses the feasibility of the contraction process based on the number of edges present in the tensor network.

Potential Applications:
* This technology can be used in various scientific and engineering fields where tensor networks are utilized for complex calculations.
* It can improve the efficiency of computational tasks involving large-scale tensor operations.

Problems Solved:
* Addresses the challenge of managing memory capacity when contracting tensor networks.
* Helps optimize computational processes by determining the feasibility of tensor network contractions.

Benefits:
* Enhances the performance of tensor network operations by ensuring efficient memory usage.
* Streamlines complex calculations by automating the assessment of contraction feasibility.

Commercial Applications:
* Title: "Optimized Tensor Network Contraction Control Program for Enhanced Computational Efficiency"
* This technology can be applied in research institutions, data centers, and industries requiring high-performance computing for data analysis and simulations.
* It can potentially lead to cost savings and improved productivity in computational tasks.

Questions about Tensor Network Contraction Control Program:
1. How does the program determine the feasibility of tensor network contraction within the available memory capacity?
2. What are the key factors considered by the program when assessing the number of edges in the tensor network for contraction feasibility?

Frequently Updated Research:
* Stay updated on advancements in tensor network algorithms and memory optimization techniques to enhance the performance of the contraction control program.


==Original Abstract Submitted==

A non-transitory computer-readable recording medium stores a tensor network contraction control program for causing a computer to execute a process including: determining whether or not contraction of a tensor network that includes a plurality of tensors coupled to each other is accomplishable in a range of an available memory capacity based on a number of edges included in the tensor network.



[[Category:G06F17/18]]
[[Category:CPC_G06F17/18]]