Polyhedral Model

GPTKB entity

Statements (70)
Predicate Object
gptkbp:instance_of gptkb:Model
gptkbp:analyzes Data Locality
Graphical Representations
gptkbp:applies_to High-Performance Computing
Loop Transformations
gptkbp:based_on Integer Linear Programming
gptkbp:challenges Scalability Issues
gptkbp:collaborated_with Research Institutions
Technology Companies
gptkbp:collaborations Interdisciplinary Teams
gptkbp:developed_by gptkb:François_B._Bastien
gptkbp:enables Parallel Computing
https://www.w3.org/2000/01/rdf-schema#label Polyhedral Model
gptkbp:improves Performance of Programs
gptkbp:influenced_by Leading Researchers
gptkbp:is_adopted_by gptkb:Educational_Institution
Industry Applications
gptkbp:is_analyzed_in Case Studies
gptkbp:is_associated_with Algorithm Design
gptkbp:is_challenged_by Emerging Technologies
Alternative Models
Complexity Issues
gptkbp:is_characterized_by Polyhedral Representation
gptkbp:is_connected_to Data Flow Analysis
gptkbp:is_critical_for Resource Management
gptkbp:is_criticized_for Academic Journals
gptkbp:is_described_as Theoretical Frameworks
gptkbp:is_documented_in Books
Technical Reports
Scholarly Articles
gptkbp:is_enhanced_by Machine Learning Techniques
User Feedback
gptkbp:is_essential_for System Optimization
gptkbp:is_evaluated_by Performance Metrics
Other Optimization Techniques
gptkbp:is_explored_in gptkb:Workshops
Online Courses
Research Papers
Theses
gptkbp:is_fundamental_to Algorithm Efficiency
gptkbp:is_implemented_in Various Compilers
gptkbp:is_influenced_by Mathematical Optimization
gptkbp:is_influential_in gptkb:software_framework
gptkbp:is_integrated_with Software Tools
gptkbp:is_maintained_by New Algorithms
gptkbp:is_part_of Program Analysis
gptkbp:is_prominent_in Research Communities
gptkbp:is_promoted_by gptkb:Twitter_account
Conferences
gptkbp:is_recognized_by gptkb:award
gptkbp:is_reflected_in gptkb:standard
Educational Curricula
gptkbp:is_related_to Affine Transformations
gptkbp:is_studied_in Computer Science
gptkbp:is_supported_by Academic Institutions
Theoretical Foundations
Funding Grants
gptkbp:is_tested_for Benchmarking Suites
gptkbp:is_used_for gptkb:building
gptkbp:is_utilized_in Data Analysis
Scientific Computing
gptkbp:key Performance Tuning
gptkbp:provides Optimization Techniques
gptkbp:related_to Polyhedral Computation
gptkbp:represents Loop Nesting Structures
gptkbp:supports Automatic Parallelization
gptkbp:used_in Compiler Optimization
gptkbp:utilizes Polyhedra
gptkbp:bfsParent gptkb:LLVM_Polly
gptkbp:bfsLayer 5