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Lu et al., 2024 - Google Patents

A large-scale heterogeneous computing framework for non-uniform sampling two-dimensional convolution applications

Lu et al., 2024

Document ID
12183717959662052544
Author
Lu Y
Yu C
Xiao J
Wang H
Fu H
Kang B
Zheng G
Publication year
Publication venue
CCF Transactions on High Performance Computing

External Links

Snippet

Non-uniform sampling two-dimensional convolution (NUSC) maps spatially sampling data with irregular distribution to a regular grid by convolution. As the data scale and growth rate continue to increase, accelerating NUSC with the heterogeneous computing platform is a …
Continue reading at link.springer.com (other versions)

Classifications

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    • G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]
    • G06F9/5005—Allocation of resources, e.g. of the central processing unit [CPU] to service a request
    • G06F9/5027—Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resource being a machine, e.g. CPUs, Servers, Terminals
    • G06F9/505—Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resource being a machine, e.g. CPUs, Servers, Terminals considering the load
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