Poplar SDK
E660963
Poplar SDK is Graphcore’s specialized software toolkit designed to program and optimize machine learning workloads on its Intelligence Processing Unit (IPU) hardware.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Poplar SDK canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T7388301 — 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: Poplar SDK Context triple: [Graphcore, software, Poplar SDK]
-
A.
Opal network
The Opal network is an integrated electronic ticketing system used across public transport services in New South Wales, Australia.
-
B.
Box Platform
Box Platform is a cloud-based content management and collaboration platform that provides APIs and tools for developers and enterprises to securely store, manage, and integrate files and workflows into their applications.
-
C.
Pumlumon Project
The Pumlumon Project is a large-scale conservation and habitat restoration initiative in the Plynlimon uplands of mid-Wales, focused on enhancing biodiversity, improving water management, and supporting sustainable land use.
-
D.
Paillant
Paillant is a commune located within Haiti’s Nippes Department, known as one of the rural settlements in the southwestern part of the country.
-
E.
Pallets Projects
Pallets Projects is an open-source organization best known for creating and maintaining the Flask web framework and related Python tooling.
- 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: Poplar SDK Target entity description: Poplar SDK is Graphcore’s specialized software toolkit designed to program and optimize machine learning workloads on its Intelligence Processing Unit (IPU) hardware.
-
A.
Opal network
The Opal network is an integrated electronic ticketing system used across public transport services in New South Wales, Australia.
-
B.
Box Platform
Box Platform is a cloud-based content management and collaboration platform that provides APIs and tools for developers and enterprises to securely store, manage, and integrate files and workflows into their applications.
-
C.
Pumlumon Project
The Pumlumon Project is a large-scale conservation and habitat restoration initiative in the Plynlimon uplands of mid-Wales, focused on enhancing biodiversity, improving water management, and supporting sustainable land use.
-
D.
Paillant
Paillant is a commune located within Haiti’s Nippes Department, known as one of the rural settlements in the southwestern part of the country.
-
E.
Pallets Projects
Pallets Projects is an open-source organization best known for creating and maintaining the Flask web framework and related Python tooling.
- F. None of above. chosen
Statements (47)
| Predicate | Object |
|---|---|
| instanceOf |
machine learning software framework
ⓘ
software development kit ⓘ |
| company | Graphcore ⓘ |
| countryOfOrigin | United Kingdom ⓘ |
| designedFor |
Graphcore IPU
ⓘ
linked to:
Graphcore
Graphcore Intelligence Processing Unit ⓘ
linked to:
Graphcore
|
| developer | Graphcore ⓘ |
| documentationURL | https://docs.graphcore.ai/projects/poplar-api ⓘ |
| domain |
artificial intelligence
ⓘ
machine learning infrastructure ⓘ |
| includes |
PopLibs libraries
ⓘ
PopVision tools ⓘ Poplar graph compiler ⓘ runtime libraries ⓘ |
| integratesWith |
ONNX
ⓘ
PyTorch ⓘ TensorFlow ⓘ |
| license | proprietary software license ⓘ |
| optimizedFor |
fine-grained parallelism
ⓘ
massively parallel computation ⓘ |
| programmingModel | graph-based computation model ⓘ |
| provides |
C++ API
ⓘ
linked to:
C++
Python API ⓘ debugging tools ⓘ graph programming interface ⓘ performance profiling tools ⓘ |
| runsOn |
Graphcore IPU systems
ⓘ
linked to:
Graphcore
|
| supports |
deep learning workloads
ⓘ
inference ⓘ machine learning workloads ⓘ training ⓘ |
| supportsFeature |
automatic graph partitioning
ⓘ
custom operators ⓘ data parallelism ⓘ memory optimization ⓘ model parallelism ⓘ pipeline parallelism ⓘ tensor operations ⓘ |
| targetHardware |
Graphcore IPU-M series
ⓘ
linked to:
Graphcore
Graphcore IPU-POD systems ⓘ
linked to:
Graphcore
|
| useCase |
high-throughput inference
ⓘ
large-scale neural network training ⓘ low-latency inference ⓘ |
| usedFor |
accelerating neural networks on IPUs
ⓘ
controlling IPU execution ⓘ optimizing compute graph placement ⓘ |
| website | https://www.graphcore.ai ⓘ |
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: Poplar SDK Description of subject: Poplar SDK is Graphcore’s specialized software toolkit designed to program and optimize machine learning workloads on its Intelligence Processing Unit (IPU) hardware.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.