Statements (76)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:microprocessor
|
| gptkbp:bfsLayer |
5
|
| gptkbp:bfsParent |
gptkb:Intel_Skylake_microarchitecture
gptkb:President_of_the_Dream_SMP |
| gptkbp:allows |
memory bandwidth
multiple processors to share a single memory |
| gptkbp:benefits |
high-performance computing
|
| gptkbp:can_lead_to |
cache coherence issues
|
| gptkbp:enables |
load balancing
|
| gptkbp:enhances |
system responsiveness
|
| gptkbp:facilitates |
virtualization
synchronization mechanisms interconnect technologies shared data structures |
| gptkbp:has_method |
a parallel computing architecture where two or more identical processors are connected to a single shared main memory
|
| https://www.w3.org/2000/01/rdf-schema#label |
SMP
|
| gptkbp:improves |
performance of applications
|
| gptkbp:is_adopted_by |
enterprise applications
data centers high-performance clusters real-time processing tasks |
| gptkbp:is_associated_with |
task scheduling
|
| gptkbp:is_challenged_by |
resource contention
scalability issues thermal management issues contention issues |
| gptkbp:is_characterized_by |
shared memory
|
| gptkbp:is_compared_to |
distributed computing
|
| gptkbp:is_compatible_with |
multi-threaded applications
|
| gptkbp:is_designed_for |
high availability
|
| gptkbp:is_different_from |
NUMA (Non-Uniform Memory Access)
|
| gptkbp:is_enhanced_by |
cache coherence protocols
parallel algorithms performance tuning techniques load distribution strategies |
| gptkbp:is_evaluated_by |
performance benchmarks
system performance metrics system architecture studies performance analysis studies |
| gptkbp:is_explored_in |
gptkb:academic_research
|
| gptkbp:is_implemented_in |
operating systems
Linux systems various CPU architectures symmetric multiprocessing controllers |
| gptkbp:is_influenced_by |
software design
|
| gptkbp:is_integrated_with |
networking technologies
|
| gptkbp:is_often_compared_to |
asymmetric multiprocessing (AMP)
|
| gptkbp:is_often_used_in |
gptkb:server
desktop computers |
| gptkbp:is_optimized_for |
parallel processing
|
| gptkbp:is_part_of |
modern computing systems
|
| gptkbp:is_related_to |
multi-core processors
|
| gptkbp:is_scalable |
more processors
|
| gptkbp:is_supported_by |
gptkb:software
Windows operating systems cloud service providers development tools hardware manufacturers |
| gptkbp:is_used_for |
database management systems
|
| gptkbp:is_used_in |
operating systems
real-time systems multi-core processors |
| gptkbp:is_utilized_in |
gptkb:Cloud_Computing_Service
financial modeling machine learning applications real-time systems scientific computing big data analytics |
| gptkbp:provides |
increased performance
|
| gptkbp:requires |
synchronization mechanisms
symmetric memory access |
| gptkbp:suitable_for |
asymmetric multiprocessing in certain scenarios
|
| gptkbp:supports |
parallel processing
multiple operating systems multi-threading |
| gptkbp:type_of |
multiprocessing
|