PGI compilers
E758505
Fortran compiler
GPU-accelerated computing tool
compiler suite
parallel programming tool
software development tool
PGI compilers are a suite of high-performance Fortran, C, and C++ compilers widely used for parallel programming and GPU-accelerated computing.
All labels observed (1)
| Label | Occurrences |
|---|---|
| PGI compilers canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T8823377 — 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: PGI compilers Context triple: [CUDA Fortran, implementedIn, PGI compilers]
-
A.
Intel Fortran Compiler
Intel Fortran Compiler is a high-performance, proprietary Fortran compiler from Intel widely used for scientific, engineering, and high-performance computing applications.
-
B.
NAG Fortran Compiler
NAG Fortran Compiler is a commercial, standards-focused Fortran compiler from the Numerical Algorithms Group, widely used for its rigorous support of modern Fortran features and robust error checking.
-
C.
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.
-
D.
GNU Compiler Collection
The GNU Compiler Collection (GCC) is a widely used, free and open-source compiler system that supports numerous programming languages and platforms, forming a core component of the GNU toolchain and much of the open-source software ecosystem.
-
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: PGI compilers Target entity description: PGI compilers are a suite of high-performance Fortran, C, and C++ compilers widely used for parallel programming and GPU-accelerated computing.
-
A.
Intel Fortran Compiler
Intel Fortran Compiler is a high-performance, proprietary Fortran compiler from Intel widely used for scientific, engineering, and high-performance computing applications.
-
B.
NAG Fortran Compiler
NAG Fortran Compiler is a commercial, standards-focused Fortran compiler from the Numerical Algorithms Group, widely used for its rigorous support of modern Fortran features and robust error checking.
-
C.
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.
-
D.
GNU Compiler Collection
The GNU Compiler Collection (GCC) is a widely used, free and open-source compiler system that supports numerous programming languages and platforms, forming a core component of the GNU toolchain and much of the open-source software ecosystem.
-
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 (54)
| Predicate | Object |
|---|---|
| instanceOf |
Fortran compiler
ⓘ
GPU-accelerated computing tool ⓘ compiler suite ⓘ parallel programming tool ⓘ software development tool ⓘ |
| acquiredBy | NVIDIA NERFINISHED ⓘ |
| countryOfOrigin |
United States of America
ⓘ
surface form:
United States
|
| developedBy |
PGI
NERFINISHED
ⓘ
The Portland Group NERFINISHED ⓘ |
| feature |
GPU offloading
ⓘ
OpenACC accelerator directives ⓘ OpenMP parallel directives NERFINISHED ⓘ auto-parallelization ⓘ auto-vectorization ⓘ debugging support ⓘ performance analysis tools ⓘ profile-guided optimization ⓘ |
| licenseType | proprietary software ⓘ |
| optimizedFor |
high-performance computing
ⓘ
scientific computing ⓘ technical computing ⓘ |
| ownedBy | NVIDIA NERFINISHED ⓘ |
| rebrandedAs | NVIDIA HPC SDK compilers NERFINISHED ⓘ |
| relatedTo |
CUDA
NERFINISHED
ⓘ
NVIDIA HPC SDK NERFINISHED ⓘ |
| supportsArchitecture |
NVIDIA GPU
NERFINISHED
ⓘ
x86 ⓘ x86-64 ⓘ |
| supportsIntegrationWith |
CUDA libraries
NERFINISHED
ⓘ
MPI implementations ⓘ |
| supportsLanguage |
C
NERFINISHED
ⓘ
C++ ⓘ Fortran NERFINISHED ⓘ |
| supportsPlatform |
Linux
ⓘ
Windows ⓘ macOS ⓘ |
| supportsStandard |
C++11
NERFINISHED
ⓘ
C++98 NERFINISHED ⓘ C11 ⓘ C89 NERFINISHED ⓘ C99 ⓘ Fortran 2003 NERFINISHED ⓘ Fortran 2008 NERFINISHED ⓘ Fortran 77 NERFINISHED ⓘ Fortran 90 NERFINISHED ⓘ Fortran 95 NERFINISHED ⓘ MPI (via external libraries) ⓘ OpenACC NERFINISHED ⓘ OpenMP NERFINISHED ⓘ |
| targetUser |
HPC developers
ⓘ
scientific programmers ⓘ |
| usedIn |
engineering simulations
ⓘ
scientific research institutions ⓘ supercomputing environments ⓘ |
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: PGI compilers Description of subject: PGI compilers are a suite of high-performance Fortran, C, and C++ compilers widely used for parallel programming and GPU-accelerated computing.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.