Data Parallel C++ (DPC++)

URI: https://gptkb.org/entity/Data_Parallel_C%2B%2B_%28DPC%2B%2B%29
GPTKB entity
Statements (74)
Predicate Object
gptkbp:instance_of gptkb:C_programming_language
gptkbp:allows code portability
gptkbp:based_on gptkb:C++
gptkbp:designed_for data parallel programming
gptkbp:developed_by gptkb:Intel
gptkbp:enables cross-platform development
scalable applications
efficient resource management
GPU programming
data-centric programming
gptkbp:facilitates performance optimization
real-time processing
gptkbp:has extensive libraries
https://www.w3.org/2000/01/rdf-schema#label Data Parallel C++ (DPC++)
gptkbp:includes parallel algorithms
gptkbp:is_adopted_by gptkb:educational_institutions
industry leaders
research institutions
gptkbp:is_compatible_with gptkb:Open_CL
data visualization tools
various compilers
AI frameworks
machine learning libraries
data analytics platforms
gptkbp:is_designed_for performance-critical applications
parallel data processing
gptkbp:is_designed_to enhance productivity
simplify parallel programming
gptkbp:is_integrated_with gptkb:Intel_compilers
gptkb:cloud_services
gptkbp:is_open_source gptkb:true
gptkbp:is_optimized_for gptkb:Intel_architectures
energy efficiency
real-time analytics
gptkbp:is_part_of gptkb:Intel_one_API_toolkit
gptkb:one_API
modern programming paradigms
AI development tools
data science tools
software development lifecycle.
parallel programming languages
gptkbp:is_supported_by Intel hardware
Intel software development tools
Intel architecture advancements
gptkbp:is_used_by gptkb:developers
gptkbp:is_used_for image processing
robotics applications
simulation applications
gptkbp:is_used_in gptkb:Telecommunications
financial modeling
high-performance computing
scientific computing
gaming development
gptkbp:is_utilized_in gptkb:cloud_computing
automotive applications
big data processing
healthcare applications
gptkbp:provides gptkb:Performance_Monitoring
debugging tools
device selection capabilities
interoperability with C++
SYCL compatibility
gptkbp:suitable_for machine learning applications
gptkbp:supports data structures
distributed computing
heterogeneous computing
multi-threading
asynchronous execution
high-throughput computing
task parallelism
multiple hardware architectures
vectorization
gptkbp:bfsParent gptkb:Intel_one_API
gptkbp:bfsLayer 5