A Performance Model for GPU Architectures that Considers On-Chip Resources: Application to Medical Image Registration
Summary
A Performance Model for GPU Architectures that Considers On-Chip Resources: Application to Medical Image Registration is a scholarly article[1].
Key Facts
A Performance Model for GPU Architectures that Considers On-Chip Resources: Application to Medical Image Registration's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). A Performance Model for GPU Architectures that Considers On-Chip Resources: Application to Medical Image Registration. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-performance-model-for-gpu-architectures-that-considers-on-chip-resources-application-to-medical-image-registration
MLA“A Performance Model for GPU Architectures that Considers On-Chip Resources: Application to Medical Image Registration.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-performance-model-for-gpu-architectures-that-considers-on-chip-resources-application-to-medical-image-registration.
BibTeX@misc{4ortxyz_a-performance-model-for-gpu-architectures-that-considers-on-chip-resources-application-to-medical-image-registration_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A Performance Model for GPU Architectures that Considers On-Chip Resources: Application to Medical Image Registration}}, year = {2026}, url = {https://4ort.xyz/entity/a-performance-model-for-gpu-architectures-that-considers-on-chip-resources-application-to-medical-image-registration}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A Performance Model for GPU Architectures that Considers On-Chip Resources: Application to Medical Image Registration — https://4ort.xyz/entity/a-performance-model-for-gpu-architectures-that-considers-on-chip-resources-application-to-medical-image-registration (retrieved 2026-05-24)
