Statements (162)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:C_programming_language
gptkb:Model gptkb:organization |
| gptkbp:advocates_for |
sustainable computing practices
|
| gptkbp:aims_to |
simplify parallel programming
|
| gptkbp:allows |
portability across different hardware
incremental parallelization |
| gptkbp:can_be_combined_with |
gptkb:MPI
|
| gptkbp:collaborates_with |
HPC community
|
| gptkbp:designed_for |
scientific computing
|
| gptkbp:developed_by |
gptkb:NVIDIA
|
| gptkbp:develops |
programming standards
|
| gptkbp:enables |
GPU acceleration
multi-core processing performance optimization heterogeneous computing |
| gptkbp:encourages |
gptkb:student_involvement
collaborative research |
| gptkbp:enhances |
performance of applications
|
| gptkbp:facilitates |
collaborative research
code optimization code acceleration |
| gptkbp:focuses_on |
parallel computing
|
| gptkbp:founded_in |
gptkb:2011
|
| gptkbp:has |
community support
|
| gptkbp:has_events |
annual meetings
webinars hackathons |
| gptkbp:has_goal |
improve performance
enhance productivity increase adoption of parallel computing |
| gptkbp:has_influence_on |
parallel programming paradigms
GPU programming models |
| gptkbp:has_members |
industry leaders
research institutions |
| gptkbp:has_partnerships_with |
government agencies
academic institutions |
| gptkbp:has_publications |
best practices
case studies user guides |
| gptkbp:hosts |
workshops
|
| https://www.w3.org/2000/01/rdf-schema#label |
Open ACC
|
| gptkbp:includes |
performance analysis tools
|
| gptkbp:integrates_with |
gptkb:Open_MP
|
| gptkbp:introduced_in |
gptkb:2011
|
| gptkbp:is |
widely adopted
open standard used for batch processing used in education language agnostic used for data analysis used for interactive applications used for algorithm development used for application development used for performance benchmarking used in industry used for performance tuning used for software development used for resource management used for system optimization used for microservices architecture used for serverless computing used for machine learning used for modeling used for numerical methods used for simulations used for cloud-native applications used for visualization used for cloud computing part of the HPC ecosystem supported by major compilers used for big data processing used for code refactoring used for containerized applications used for distributed computing used for edge computing used for energy efficiency used for hybrid computing used for real-time processing used for streaming applications used for task scheduling used for workload balancing |
| gptkbp:is_a_resource_for |
gptkb:Documentation
tutorials online forums |
| gptkbp:is_active_in |
international collaborations
|
| gptkbp:is_adopted_by |
academic institutions
|
| gptkbp:is_associated_with |
GPU acceleration
multi-core processing heterogeneous computing accelerated computing |
| gptkbp:is_based_in |
gptkb:United_States
|
| gptkbp:is_compatible_with |
gptkb:CUDA
C, C++, and Fortran |
| gptkbp:is_designed_for |
high-performance computing
|
| gptkbp:is_designed_to |
enhance productivity
reduce development time simplify parallel programming improve code maintainability |
| gptkbp:is_involved_in |
gptkb:Software_Development
performance evaluation hardware optimization benchmarking efforts |
| gptkbp:is_maintained_by |
gptkb:Open_ACC_Task_Force
|
| gptkbp:is_often_used_in |
research projects
|
| gptkbp:is_opposed_by |
manual GPU programming
|
| gptkbp:is_part_of |
gptkb:Open_MP
HPC ecosystem parallel computing standards |
| gptkbp:is_recognized_by |
industry experts
academic researchers HPC community |
| gptkbp:is_similar_to |
gptkb:Open_MP
|
| gptkbp:is_standardized_by |
directive-based programming
|
| gptkbp:is_supported_by |
gptkb:PGI
gptkb:Intel gptkb:Cray_Compilers gptkb:Intel_Compilers gptkb:PGI_Compilers gptkb:Cray gptkb:LLVM gptkb:NVIDIA hardware manufacturers software vendors multiple compilers |
| gptkbp:is_used_by |
gptkb:developers
gptkb:researchers |
| gptkbp:is_used_in |
gptkb:Quantum_Mechanics
financial modeling scientific computing bioinformatics computational fluid dynamics weather forecasting |
| gptkbp:is_utilized_in |
gptkb:machine_learning
gptkb:simulation data analysis modeling |
| gptkbp:offers |
certification programs
training resources |
| gptkbp:participates_in |
conferences
|
| gptkbp:promotes |
portability
open standards |
| gptkbp:provides |
networking opportunities
user support compiler directives performance portability directives for GPU programming guidelines for GPU programming |
| gptkbp:publishes |
technical papers
|
| gptkbp:supports |
gptkb:C
gptkb:C++ gptkb:Fortran diversity in computing data management parallel programming |
| gptkbp:used_for |
parallel programming
|
| gptkbp:used_in |
high-performance computing
|
| gptkbp:bfsParent |
gptkb:Fortran
gptkb:MPI-1 gptkb:CUDA gptkb:Open_MP |
| gptkbp:bfsLayer |
4
|