Statements (25)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:software_framework
|
| gptkbp:bfsLayer |
4
|
| gptkbp:bfsParent |
gptkb:SIMD
|
| gptkbp:allows |
multiple threads to execute the same instruction
|
| gptkbp:applies_to |
high-performance computing (HPC)
|
| gptkbp:benefits |
applications with regular data access patterns
|
| gptkbp:can_lead_to |
resource underutilization due to thread divergence
|
| gptkbp:enables |
efficient handling of thread divergence
scalable performance improvements |
| gptkbp:facilitates |
high throughput computing
|
| https://www.w3.org/2000/01/rdf-schema#label |
SIMT
|
| gptkbp:improves |
performance in data-parallel applications
|
| gptkbp:is_characterized_by |
thread blocks and warps
|
| gptkbp:is_described_as |
a model for executing multiple threads in parallel
|
| gptkbp:is_distinct_from |
traditional CPU multithreading
|
| gptkbp:is_implemented_in |
NVIDIACUDA architecture
|
| gptkbp:is_often_compared_to |
task parallelism
|
| gptkbp:is_part_of |
the GPU programming paradigm
|
| gptkbp:is_similar_to |
SIMD (Single Instruction, Multiple Data)
|
| gptkbp:is_used_in |
graphics processing units (GP Us)
|
| gptkbp:is_utilized_in |
machine learning and deep learning tasks
|
| gptkbp:key |
modern GPU architectures
|
| gptkbp:related_concept |
gptkb:microprocessor
|
| gptkbp:requires |
specific programming models for optimization
|
| gptkbp:supports |
massively parallel processing
|