Lift
Library of parallel computing primitives for GPUs and multi-core CPUs
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Here are the classes, structs, unions and interfaces with brief descriptions:
[detail level
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lift
__internal
lift
backend_policy
backend_policy< cuda >
backend_policy< host >
x86_64
cpuid_regs
atomics
backend_policy
backend_policy< cuda >
backend_policy< host >
allocation
cuda_allocator
default_memory_allocator
default_memory_allocator< cuda >
default_memory_allocator< host >
__ldg_loader
__ldg_loader< host, T >
__ldg_loader< cuda, T >
ldg_pointer
local_memory
malloc_allocator
persistent_allocation
tagged_pointer_base
Base class for tagged memory pointer implementation
pointer
Lift's tagged pointer class
pointer< host, T, _index_type >
CPU version of pointer
pointer< cuda, T, _index_type >
scoped_allocation
scoped_free
strided_iterator
thrust_iterator_adaptor
thrust_pointer_adaptor
parallel
Dispatch structure for parallel primitives
compute_device
cuda_device_config
compute_device_cuda
cpu_cache
cpu_config
compute_device_host
test
The test object interface
standalone_test
Wrapper for standalone tests, which consist of a single function with no arguments and no return value
timer
timer< cuda >
sample_type
time_series
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