SUIF compiler infrastructure
E679897
SUIF compiler infrastructure is a widely used, extensible research framework for building and experimenting with advanced optimizing compilers and program analysis tools.
All labels observed (3)
| Label | Occurrences |
|---|---|
| SUIF compiler infrastructure canonical | 1 |
| SUIF intermediate representation | 1 |
| Stanford University Intermediate Format compiler infrastructure | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T7666197 — 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: SUIF compiler infrastructure Context triple: [Monica S. Lam, notableWork, SUIF compiler infrastructure]
-
A.
SPIR intermediate representation
SPIR intermediate representation is a standardized, portable intermediate language based on LLVM IR used to enable cross-platform compilation and execution of OpenCL kernels and other heterogeneous compute workloads.
-
B.
Partial Evaluation and Program Manipulation
Partial Evaluation and Program Manipulation (PEPM) is a specialized conference and research area in computer science focused on techniques for program transformation, optimization, and analysis through partial evaluation and related methods.
-
C.
Compilers: Principles, Techniques, and Tools
Compilers: Principles, Techniques, and Tools is a foundational computer science textbook that systematically covers the theory and practice of compiler design and implementation.
-
D.
Compiler Construction
Compiler Construction is a foundational textbook by Niklaus Wirth that systematically explains the principles and techniques for designing and implementing compilers.
-
E.
Languages, Compilers, and Tools for Embedded Systems
Languages, Compilers, and Tools for Embedded Systems (LCTES) is a research conference focused on programming languages, compilation techniques, and development tools for embedded and real-time computing systems.
- 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: SUIF compiler infrastructure Target entity description: SUIF compiler infrastructure is a widely used, extensible research framework for building and experimenting with advanced optimizing compilers and program analysis tools.
-
A.
SPIR intermediate representation
SPIR intermediate representation is a standardized, portable intermediate language based on LLVM IR used to enable cross-platform compilation and execution of OpenCL kernels and other heterogeneous compute workloads.
-
B.
Partial Evaluation and Program Manipulation
Partial Evaluation and Program Manipulation (PEPM) is a specialized conference and research area in computer science focused on techniques for program transformation, optimization, and analysis through partial evaluation and related methods.
-
C.
Compilers: Principles, Techniques, and Tools
Compilers: Principles, Techniques, and Tools is a foundational computer science textbook that systematically covers the theory and practice of compiler design and implementation.
-
D.
Compiler Construction
Compiler Construction is a foundational textbook by Niklaus Wirth that systematically explains the principles and techniques for designing and implementing compilers.
-
E.
Languages, Compilers, and Tools for Embedded Systems
Languages, Compilers, and Tools for Embedded Systems (LCTES) is a research conference focused on programming languages, compilation techniques, and development tools for embedded and real-time computing systems.
- F. None of above. chosen
Statements (47)
| Predicate | Object |
|---|---|
| instanceOf |
compiler infrastructure
ⓘ
research framework ⓘ software framework ⓘ |
| abbreviation | SUIF ⓘ |
| academicUse |
used in compiler courses
ⓘ
used in graduate research projects ⓘ |
| category | open research compiler framework ⓘ |
| component |
analysis and transformation passes
ⓘ
back-end code generation support ⓘ front-end infrastructure ⓘ intermediate representation libraries ⓘ middle-end optimization framework ⓘ |
| designGoal |
extensibility
ⓘ
retargetability ⓘ support for multiple front ends and back ends ⓘ |
| developedAt | Stanford University ⓘ |
| developedBy | Stanford SUIF research group ⓘ |
| distribution | source code ⓘ |
| field |
compiler construction
ⓘ
optimizing compilers ⓘ program analysis ⓘ |
| focus |
high-level program optimizations
ⓘ
loop transformations ⓘ memory hierarchy optimizations ⓘ parallelization research ⓘ |
| fullName |
Stanford University Intermediate Format compiler infrastructure
ⓘ
linked to:
SUIF compiler infrastructure
|
| influenced |
later compiler infrastructures
ⓘ
research on intermediate representations ⓘ |
| license | non-commercial research license ⓘ |
| notableVersion |
SUIF1
ⓘ
SUIF2 ⓘ
linked to:
SUIF
|
| origin |
United States
ⓘ
linked to:
United States of America
|
| platform | Unix-like systems ⓘ |
| purpose |
building optimizing compilers
ⓘ
experimenting with program analysis techniques ⓘ supporting advanced optimizations ⓘ supporting compiler research ⓘ |
| supports |
intermediate representation based compilation
ⓘ
modular compiler passes ⓘ user-defined analyses and transformations ⓘ |
| supportsLanguage |
C
ⓘ
Fortran ⓘ |
| usedFor |
research in interprocedural analysis
ⓘ
research in parallelizing compilers ⓘ research in profile-guided optimizations ⓘ |
| uses |
SUIF intermediate representation
ⓘ
linked to:
SUIF compiler infrastructure
|
| writtenIn | C++ ⓘ |
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: SUIF compiler infrastructure Description of subject: SUIF compiler infrastructure is a widely used, extensible research framework for building and experimenting with advanced optimizing compilers and program analysis tools.
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.
SUIF compiler infrastructure
→
fullName
→
Stanford University Intermediate Format compiler infrastructure
ⓘ
linked to: SUIF compiler infrastructure
linked to: SUIF compiler infrastructure