cuCIM
E890464
cuCIM is an NVIDIA RAPIDS library for GPU-accelerated image processing and analysis, particularly geared toward large-scale and medical imaging workloads.
All labels observed (1)
| Label | Occurrences |
|---|---|
| cuCIM canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T10882145 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: cuCIM Context triple: [NVIDIA RAPIDS, component, cuCIM]
-
A.
CIM
CIM is an acronym commonly referring to the China Inland Mission, a pioneering Protestant Christian missionary society founded in the 19th century to evangelize the inland regions of China.
-
B.
CIM
CIM is the Spanish acronym for the Inter-American Commission of Women, a specialized organization within the Organization of American States dedicated to promoting and protecting women’s rights and gender equality in the Americas.
-
C.
CIM
CIM (Common Information Model) is an open, object-oriented standard for describing and managing computing and network resources in a platform- and vendor-neutral way.
-
D.
CIM
CIM is a state prison facility for male inmates located in Chino, California, operated by the California Department of Corrections and Rehabilitation.
-
E.
USACIMT
USACIMT is the U.S. Army organization responsible for overseeing and standardizing the initial training and education of new soldiers.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: cuCIM Target entity description: cuCIM is an NVIDIA RAPIDS library for GPU-accelerated image processing and analysis, particularly geared toward large-scale and medical imaging workloads.
-
A.
CIM
CIM is an acronym commonly referring to the China Inland Mission, a pioneering Protestant Christian missionary society founded in the 19th century to evangelize the inland regions of China.
-
B.
CIM
CIM is the Spanish acronym for the Inter-American Commission of Women, a specialized organization within the Organization of American States dedicated to promoting and protecting women’s rights and gender equality in the Americas.
-
C.
CIM
CIM (Common Information Model) is an open, object-oriented standard for describing and managing computing and network resources in a platform- and vendor-neutral way.
-
D.
CIM
CIM is a state prison facility for male inmates located in Chino, California, operated by the California Department of Corrections and Rehabilitation.
-
E.
USACIMT
USACIMT is the U.S. Army organization responsible for overseeing and standardizing the initial training and education of new soldiers.
- F. None of above. chosen
Statements (49)
| Predicate | Object |
|---|---|
| instanceOf |
GPU-accelerated image processing library
ⓘ
software library ⓘ |
| compatibleWith |
CuPy
ⓘ
Dask ⓘ NumPy ecosystem ⓘ RAPIDS cuDF ⓘ
linked to:
cuDF
|
| developer |
NVIDIA
ⓘ
linked to:
NVIDIA Corporation
|
| distribution |
conda
ⓘ
linked to:
Conda
pip ⓘ |
| feature |
Dask integration for distributed processing
ⓘ
GPU-accelerated image I/O ⓘ GPU-accelerated image processing ⓘ NumPy-like array interface via CuPy ⓘ image filtering operations ⓘ image measurement utilities ⓘ image segmentation utilities ⓘ image transformation utilities ⓘ morphological operations ⓘ multi-dimensional image support ⓘ out-of-core image processing ⓘ scikit-image-like API for GPU ⓘ tiled image reading ⓘ |
| license | Apache License 2.0 ⓘ |
| optimizedFor |
high-throughput image pipelines
ⓘ
large images that do not fit in GPU memory ⓘ whole-slide images ⓘ |
| partOf |
NVIDIA RAPIDS ecosystem
ⓘ
linked to:
NVIDIA RAPIDS
|
| platform | Linux ⓘ |
| programmingLanguage |
C++
ⓘ
Python ⓘ |
| repository | GitHub ⓘ |
| supportsAPI |
CUDA
ⓘ
linked to:
NVIDIA CUDA
RAPIDS CuPy ecosystem ⓘ
linked to:
NVIDIA RAPIDS
RAPIDS cuDF ⓘ
linked to:
cuDF
|
| supportsDomain |
digital pathology
ⓘ
large-scale image analysis ⓘ medical imaging ⓘ microscopy imaging ⓘ |
| supportsHardware |
NVIDIA GPU
ⓘ
linked to:
NVIDIA GPU hardware
|
| supportsLanguageBinding | Python ⓘ |
| targetUser |
HPC imaging practitioners
ⓘ
computational pathology engineers ⓘ data scientists ⓘ medical imaging researchers ⓘ |
| useCase |
GPU-accelerated image feature extraction
ⓘ
digital pathology slide reading ⓘ interactive visualization backends ⓘ large-scale microscopy analysis ⓘ medical image preprocessing ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: cuCIM Description of subject: cuCIM is an NVIDIA RAPIDS library for GPU-accelerated image processing and analysis, particularly geared toward large-scale and medical imaging workloads.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.