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project_6/muh/schema/adjacent_difference.yaml

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# muh schema for adjacent_difference
# Auto-extracted from cub/cub/device/dispatch/tuning/tuning_adjacent_difference.cuh
# Generated by muh/extract.py
algorithm: adjacent_difference
source: cub/cub/device/dispatch/tuning/tuning_adjacent_difference.cuh
parameters:
threads_per_block:
type: int
range:
- 32
- 1024
step: 32
items_per_thread:
type: int
range:
- 1
- 32
step: 1
load_algorithm:
type: enum
values:
- BLOCK_LOAD_DIRECT
- BLOCK_LOAD_VECTORIZE
- BLOCK_LOAD_TRANSPOSE
- BLOCK_LOAD_WARP_TRANSPOSE
- BLOCK_LOAD_WARP_TRANSPOSE_TIMESLICED
- BLOCK_LOAD_STRIPED
load_modifier:
type: enum
values:
- LOAD_DEFAULT
- LOAD_CA
- LOAD_CG
- LOAD_CS
- LOAD_CV
- LOAD_LDG
store_algorithm:
type: enum
values:
- BLOCK_STORE_DIRECT
- BLOCK_STORE_WARP_TRANSPOSE
- BLOCK_STORE_WARP_TRANSPOSE_TIMESLICED
- BLOCK_STORE_STRIPED
value_type_size:
type: int
range:
- 1
- 1024
step: 1
note: unknown_range
bi_v100:
status: pending_benchmark
note: Run muh benchmark on Iluvatar BI-V100 to fill these values
threads_per_block: TBD
items_per_thread: TBD