Intel Threading Building Blocks
E358071
Intel Threading Building Blocks is a C++ template library developed by Intel that provides high-level, task-based parallelism and scalable performance for multicore and manycore processors.
All labels observed (3)
| Label | Occurrences |
|---|---|
| Intel TBB | 1 |
| Intel Threading Building Blocks canonical | 1 |
| Intel oneTBB | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T3418755 — 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: Intel Threading Building Blocks Context triple: [Intel C++ Compiler, supports, Intel Threading Building Blocks]
-
A.
OpenMP
OpenMP is an application programming interface that supports multi-platform shared-memory parallel programming in C, C++, and Fortran.
-
B.
Intel C++ Compiler
Intel C++ Compiler is a high-performance C and C++ optimizing compiler from Intel, designed to generate highly optimized code for Intel architectures and parallel computing workloads.
-
C.
MPI
MPI is a global measure that assesses poverty by considering multiple deprivations in areas such as health, education, and living standards rather than income alone.
-
D.
OMPS
OMPS (Ozone Mapping and Profiler Suite) is a satellite-based instrument system designed to measure global ozone distribution and monitor atmospheric ozone layer changes from orbit.
-
E.
OpenACC
OpenACC is a directive-based parallel programming standard designed to simplify the development of portable, high-performance code on heterogeneous systems such as GPUs and multicore CPUs.
- 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: Intel Threading Building Blocks Target entity description: Intel Threading Building Blocks is a C++ template library developed by Intel that provides high-level, task-based parallelism and scalable performance for multicore and manycore processors.
-
A.
OpenMP
OpenMP is an application programming interface that supports multi-platform shared-memory parallel programming in C, C++, and Fortran.
-
B.
Intel C++ Compiler
Intel C++ Compiler is a high-performance C and C++ optimizing compiler from Intel, designed to generate highly optimized code for Intel architectures and parallel computing workloads.
-
C.
MPI
MPI is a global measure that assesses poverty by considering multiple deprivations in areas such as health, education, and living standards rather than income alone.
-
D.
OMPS
OMPS (Ozone Mapping and Profiler Suite) is a satellite-based instrument system designed to measure global ozone distribution and monitor atmospheric ozone layer changes from orbit.
-
E.
OpenACC
OpenACC is a directive-based parallel programming standard designed to simplify the development of portable, high-performance code on heterogeneous systems such as GPUs and multicore CPUs.
- F. None of above. chosen
Statements (51)
| Predicate | Object |
|---|---|
| instanceOf |
C++ template library
ⓘ
parallel programming library ⓘ |
| abbreviation |
Intel TBB
ⓘ
linked to:
Intel Threading Building Blocks
TBB ⓘ |
| concurrentContainer |
concurrent_priority_queue
ⓘ
concurrent_queue ⓘ concurrent_unordered_map ⓘ concurrent_unordered_set ⓘ concurrent_vector ⓘ |
| designGoal |
abstraction from low-level threading APIs
ⓘ
portable parallelism ⓘ scalable performance ⓘ |
| developer |
Intel
ⓘ
linked to:
Intel Corporation
|
| hides | native threads management ⓘ |
| isFreeAndOpenSource | true ⓘ |
| license | Apache License 2.0 ⓘ |
| paradigm |
data parallelism
ⓘ
generic programming ⓘ task-based parallelism ⓘ |
| programmingLanguage | C++ ⓘ |
| providesFeature |
affinity partitioner
ⓘ
concurrent containers ⓘ flow graph API ⓘ memory allocator ⓘ parallel algorithms ⓘ parallel_for ⓘ parallel_invoke ⓘ parallel_reduce ⓘ parallel_scan ⓘ partitioners ⓘ pipelines ⓘ task groups ⓘ task scheduler ⓘ thread-safe containers ⓘ |
| supportsCompiler |
Clang
ⓘ
GCC ⓘ
linked to:
GNU Compiler Collection
Microsoft Visual C++ ⓘ
linked to:
MSVC
|
| supportsLanguageStandard |
C++11
ⓘ
C++14 ⓘ C++17 ⓘ |
| supportsOperatingSystem |
Linux
ⓘ
Windows ⓘ macOS ⓘ |
| targetPlatform |
manycore processors
ⓘ
multicore processors ⓘ |
| useCase |
financial analytics
ⓘ
high-performance computing ⓘ image processing ⓘ scientific computing ⓘ simulation ⓘ |
| website | https://www.intel.com/content/www/us/en/developer/tools/oneapi/onetbb.html ⓘ |
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: Intel Threading Building Blocks Description of subject: Intel Threading Building Blocks is a C++ template library developed by Intel that provides high-level, task-based parallelism and scalable performance for multicore and manycore processors.
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.
linked to: Intel Threading Building Blocks
linked to: Intel Threading Building Blocks