Polyhedral model

GPTKB entity

Statements (61)
Predicate Object
gptkbp:instance_of gptkb:Model
gptkbp:bfsLayer 5
gptkbp:bfsParent gptkb:LLVM_Polly
gptkbp:applies_to real-time systems
software engineering
data locality
loop transformations
gptkbp:based_on affine transformations
gptkbp:challenges high-dimensional spaces
gptkbp:developed_by gptkb:François_B._Bastien
gptkbp:enables automatic parallelization
gptkbp:examines theoretical computer science
gptkbp:facilitates gptkb:software
parallel algorithms
https://www.w3.org/2000/01/rdf-schema#label Polyhedral model
gptkbp:is_adopted_by embedded systems
gptkbp:is_analyzed_in algorithm design
gptkbp:is_associated_with polyhedral compilation
gptkbp:is_connected_to scheduling problems
computational geometry
gptkbp:is_considered resource allocation
gptkbp:is_enhanced_by machine learning techniques
gptkbp:is_evaluated_by performance metrics
scientific computing
gptkbp:is_explored_in research papers
case studies
parallel computing
numerical methods
empirical studies
gptkbp:is_implemented_in gptkb:GCC
gptkb:DJ
CLOOG
gptkbp:is_influenced_by linear algebra
discrete mathematics
gptkbp:is_informed_by complexity theory
gptkbp:is_integrated_with data flow analysis
gptkbp:is_maintained_by heuristic methods
gptkbp:is_optimized_for nested loops
gptkbp:is_part_of program analysis
gptkbp:is_related_to computational efficiency
graph theory
integer programming
loop nest optimization
gptkbp:is_studied_in gptkb:computer_science
gptkbp:is_supported_by theoretical frameworks
gptkbp:is_tested_for performance evaluation
benchmarking
gptkbp:is_used_for performance tuning
gptkbp:is_used_in data analysis
high-performance computing
gptkbp:is_used_to optimize resource usage
reduce execution time
gptkbp:is_utilized_in gptkb:software
gptkb:software_framework
algorithm optimization
gptkbp:key efficient algorithms
algorithmic improvements
gptkbp:provides a geometric representation
gptkbp:supports multi-core architectures
gptkbp:used_in compiler optimization
gptkbp:utilizes polyhedra