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[xegpu] Add matmul cost model and tile size selector #156

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[xegpu] Add matmul cost model and tile size selector #156

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bfe39b8
Add xegpu matmul cost model
tkarna May 20, 2026
b23c7ab
copilot comments
tkarna May 20, 2026
7fd5c21
cost model: simplify generate_configs
tkarna May 20, 2026
f91d352
matmul example: add test for custom not pre-tuned shape
tkarna May 21, 2026
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41 changes: 15 additions & 26 deletions examples/xegpu/matmul.py
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Original file line number Diff line number Diff line change
@@ -1,3 +1,4 @@
# RUN: %PYTHON %s --sizes 512 1024 128 --dump-kernel=xegpu-wg | FileCheck %s
# RUN: %PYTHON %s --dump-kernel=xegpu-wg | FileCheck %s
# RUN: %PYTHON %s --dump-kernel=xegpu-wg --bias | FileCheck %s
# RUN: %PYTHON %s --dump-kernel=xegpu-wg --relu | FileCheck %s
Expand Down Expand Up @@ -29,7 +30,6 @@
from lighthouse.schedule.xegpu import mlp_schedule, xegpu_to_binary
from lighthouse.utils.numpy import mlir_to_numpy_dtype
from lighthouse.ingress.mlir_gen import generate_gpu_matmul_payload, get_mlir_elem_type
from lighthouse.schedule.xegpu import xegpu_parameter_selector


def matmul_complexity(
Expand Down Expand Up @@ -345,6 +345,11 @@ def parse_cli_args(description):
"--json",
help="Read problem sizes and tile parameters from a JSON file.",
)
parser.add_argument(
"--target",
choices=["B70", "B50"],
help="Target GPU device, e.g., B70.",
)
parser.add_argument(
"--verbose",
"-v",
Expand All @@ -370,31 +375,15 @@ def parse_cli_args(description):

# Problem size
m, n, k = args.sizes if args.sizes else (4096, 4096, 4096)
# Get default parameters from the database
try:
params = xegpu_parameter_selector.get_matmul_parameters(m, n, k)
except ValueError:
# Initialize with a stub and assume the rest will be populated
params = {
"m": m,
"n": n,
"k": k,
"wg_m": None,
"wg_n": None,
"sg_m": None,
"sg_n": None,
"k_tile": None,
"load_a_m": None,
"load_a_k": None,
"load_b_k": None,
"load_b_n": None,
"prefetch_a_m": None,
"prefetch_a_k": None,
"prefetch_b_k": None,
"prefetch_b_n": None,
"prefetch_a_nb": None,
"prefetch_b_nb": None,
}
# Set required parameters
params = {
"m": m,
"n": n,
"k": k,
}
if args.target:
params["device"] = args.target

if args.json:
# Override parameters with values from JSON file if provided
with open(args.json, "r") as f:
Expand Down
12 changes: 10 additions & 2 deletions examples/xegpu/mlp.py
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Original file line number Diff line number Diff line change
Expand Up @@ -36,7 +36,6 @@
generate_gpu_mlp_payload,
get_mlir_elem_type,
)
from lighthouse.schedule.xegpu import xegpu_parameter_selector

from matmul import matmul_complexity

Expand Down Expand Up @@ -332,6 +331,11 @@ def parse_cli():
action="store_true",
help="Dump transform schedule.",
)
parser.add_argument(
"--target",
choices=["B70", "B50"],
help="Target GPU device, e.g., B70.",
)
parser.add_argument(
"--verbose",
"-v",
Expand Down Expand Up @@ -371,7 +375,11 @@ def parse_cli():
ab_type = wload.ab_type
acc_type = wload.acc_type

params = xegpu_parameter_selector.get_parameters_for_layers(matmuls)
# Initialize layer parameters
params = [{"m": M, "n": N, "k": K} for M, N, K in matmuls]
if args.target:
for layer_params in params:
layer_params["device"] = args.target

if args.dump_kernel or args.dump_schedule:
pipeline = TransformDriver(
Expand Down
59 changes: 28 additions & 31 deletions examples/xegpu/torch_matmul.py
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Original file line number Diff line number Diff line change
Expand Up @@ -20,11 +20,12 @@
from lighthouse import schedule as lh_schedule
from lighthouse.pipeline.driver import TransformDriver
from lighthouse.utils.mlir import get_mlir_library_path
from lighthouse.schedule.xegpu import mlp_schedule, xegpu_to_binary
from lighthouse.schedule.xegpu import (
mlp_schedule,
xegpu_to_binary,
)
from lighthouse.ingress.torch import gpu_backend, TargetDialect

import parameter_selector


class Model(nn.Module):
def __init__(self):
Expand Down Expand Up @@ -139,9 +140,14 @@ def parse_cli_args(description):
help="Tile size for cooperative prefetching of subgroup B matrix",
)
parser.add_argument(
"--prefetch-nb",
"--prefetch-a-nb",
type=int,
help="Number of initial prefetches for A matrix.",
)
parser.add_argument(
"--prefetch-b-nb",
type=int,
help="Number of initial prefetches.",
help="Number of initial prefetches for B matrix.",
)
parser.add_argument(
"--check-result",
Expand All @@ -164,6 +170,11 @@ def parse_cli_args(description):
"--json",
help="Read problem sizes and tile parameters from a JSON file.",
)
parser.add_argument(
"--target",
choices=["B70", "B50"],
help="Target GPU device, e.g., B70.",
)
args = parser.parse_args()

return args
Expand All @@ -182,30 +193,14 @@ def parse_cli_args(description):

# Problem size
m, n, k = args.sizes if args.sizes else (4096, 4096, 4096)
# Get default parameters from the database
try:
params = parameter_selector.get_matmul_parameters(m, n, k)
except ValueError:
# Initialize with a stub and assume the rest will be populated
params = {
"m": m,
"n": n,
"k": k,
"wg_m": None,
"wg_n": None,
"sg_m": None,
"sg_n": None,
"k_tile": None,
"load_a_m": None,
"load_a_k": None,
"load_b_k": None,
"load_b_n": None,
"prefetch_a_m": None,
"prefetch_a_k": None,
"prefetch_b_k": None,
"prefetch_b_n": None,
"prefetch_nb": None,
}
# Set required parameters
params = {
"m": m,
"n": n,
"k": k,
}
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if args.target:
params["device"] = args.target
if args.json:
# Override parameters with values from JSON file if provided
with open(args.json, "r") as f:
Expand All @@ -227,8 +222,10 @@ def parse_cli_args(description):
params["prefetch_a_m"], params["prefetch_a_k"] = args.prefetch_tile_a
if args.prefetch_tile_b:
params["prefetch_b_k"], params["prefetch_b_n"] = args.prefetch_tile_b
if args.prefetch_nb is not None:
params["prefetch_nb"] = args.prefetch_nb
if args.prefetch_a_nb is not None:
params["prefetch_a_nb"] = args.prefetch_a_nb
if args.prefetch_b_nb is not None:
params["prefetch_b_nb"] = args.prefetch_b_nb

for param_key, v in params.items():
if v is None:
Expand Down
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