Statements (63)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
Benchmark
|
| gptkbp:developedBy |
gptkb:University_of_Tennessee
|
| gptkbp:encourages |
Development of efficient graph algorithms
|
| gptkbp:firstIntroduced |
2010
|
| gptkbp:focusesOn |
Graph algorithms
|
| gptkbp:hasCollaboratedWith |
Research institutions
Various universities Between academia and industry |
| gptkbp:hasImpactOn |
Supercomputing performance evaluation
|
| gptkbp:hasPerformedAt |
Conferences
|
| https://www.w3.org/2000/01/rdf-schema#label |
Graph500
|
| gptkbp:includes |
Large-scale graph datasets
|
| gptkbp:isAssociatedWith |
Data-intensive applications
High-performance computing benchmarks |
| gptkbp:isAttendedBy |
Industry leaders
|
| gptkbp:isChallengedBy |
Graph analytics
Data processing systems Graph processing systems High-performance algorithms Parallel_computing |
| gptkbp:isCitedIn |
Research papers
|
| gptkbp:isDocumentedIn |
Scientific literature
Technical reports |
| gptkbp:isEvaluatedBy |
Performance metrics
Performance benchmarks Graph500 algorithm Scalability tests |
| gptkbp:isInfluencedBy |
Graph theory
Performance optimization Algorithm efficiency Computational benchmarks |
| gptkbp:isLocatedIn |
Supercomputers
|
| gptkbp:isPartOf |
Computational science
Benchmarking initiatives High-performance computing community Supercomputing competitions |
| gptkbp:isPromotedBy |
HPC organizations
|
| gptkbp:isPromotedThrough |
Workshops
|
| gptkbp:isRecognizedBy |
HPC community
Global HPC community |
| gptkbp:isRecognizedFor |
Standard benchmark
|
| gptkbp:isRelatedTo |
Network analysis
Big data processing |
| gptkbp:isSimilarTo |
Top500 list
|
| gptkbp:isSupportedBy |
Funding agencies
Supercomputing facilities Technical communities |
| gptkbp:isUpdatedBy |
Annually
|
| gptkbp:isUsedBy |
Researchers
Assess scalability |
| gptkbp:isUsedFor |
Comparative analysis
Performance comparison |
| gptkbp:isUsedIn |
Algorithm development
|
| gptkbp:isUtilizedIn |
Scientific research
Machine learning research Graph-based applications |
| gptkbp:isVisitedBy |
Community input
|
| gptkbp:keyIssues |
Understanding graph workloads
|
| gptkbp:measures |
Performance of supercomputers
|
| gptkbp:provides |
Benchmarking results
|
| gptkbp:publishedIn |
IEEE International Conference on High Performance Computing, Data, and Analytics
|
| gptkbp:relatedTo |
Graph processing capabilities
|
| gptkbp:uses |
Breadth-first search (BFS) algorithm
|