submission 698874
janice.jiayao · python · License unknown
Use it
Vendorable · source mirrored · license unknownView source →
No package. Vendor the mirrored source: 45 lines, June 9 Researcher Reciprocity License v1.0.
submission.py
curl "https://kernelindex.com/api/v1/implementations/kernelbot-amd-mxfp4-mm-698874?include=source"interfacepython
Compatibility
measured onAMD Instinct MI355X
declared hardwareAMD Instinct MI355X
architecturesgfx950
dtypesbf16, mxfp4
Benchmark evidence
1 measurement across 1 GPU, fastest first.
Operation / workload
Hardware
Latency
Rank
Observed
Reported · How evidence levels are derived →
Source and license
sourceavailable
revision digestsha256:561752d1fa412fb5b8d00038e740b01c495c738f80614583255389668f94a0a0
license declaredunknown
license concludedunknown
authorsjanice.jiayao
imported2026-08-26
Techniques
Extracted from the mirrored source by pattern, never inferred. Each row cites its line.
fp4
MXFP4 GEMM — Highly optimized python invocation baselineKernel source
submission.py45 lines
#!POPCORN leaderboard amd-mxfp4-mm
#!POPCORN gpu MI355X
# =============================================================================
# MXFP4 GEMM Kernel — Baseline for AMD MI355X
# Competition: AMD x GPU MODE 2026 - amd-mxfp4-mm
# Strategy: Use aiter gemm_a4w4 as baseline
# =============================================================================
import torch
from task import input_t, output_t
import aiter
from aiter import QuantType, dtypes
from aiter.ops.triton.quant import dynamic_mxfp4_quant
from aiter.utility.fp4_utils import e8m0_shuffle
# Warmup state to prevent re-initialization if any
_initialized = False
def _quant_mxfp4(x, shuffle=True):
x_fp4, bs_e8m0 = dynamic_mxfp4_quant(x)
if shuffle:
bs_e8m0 = e8m0_shuffle(bs_e8m0)
return x_fp4.view(dtypes.fp4x2), bs_e8m0.view(dtypes.fp8_e8m0)
def custom_kernel(data: input_t) -> output_t:
"""
MXFP4 GEMM — Highly optimized python invocation baseline
"""
global _initialized
if not _initialized:
_initialized = True
A, B, B_q, B_shuffle, B_scale_sh = data
A_q, A_scale_sh = _quant_mxfp4(A, shuffle=True)
out_gemm = aiter.gemm_a4w4(
A_q,
B_shuffle,
A_scale_sh,
B_scale_sh,
dtype=dtypes.bf16,
bpreshuffle=True,
)
return out_gemm
scrolls · 45 lines total
Source code from GPU Mode and the KernelBot dataset · June 9 Researcher Reciprocity License v1.0
Best evidence level for this revision: reported
JSON