gfx-kernel-metadata

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Extract VGPR/SGPR/LDS/spill counts and AMDGPU notes from a compiled HIP kernel `.hsaco` for any AMD GPU arch (CDNA wave64 — gfx906/908/90a/942 — and RDNA wave32 — gfx1010 through gfx12). Lets you compute theoretical occupancy and identify register-pressure / LDS-pressure constraints.

Kaden-Schutt By Kaden-Schutt schedule Updated 5/8/2026

name: gfx-kernel-metadata description: Extract VGPR/SGPR/LDS/spill counts and AMDGPU notes from a compiled HIP kernel .hsaco for any AMD GPU arch (CDNA wave64 — gfx906/908/90a/942 — and RDNA wave32 — gfx1010 through gfx12). Lets you compute theoretical occupancy and identify register-pressure / LDS-pressure constraints.

Reading AMD GPU kernel metadata from .hsaco

When tuning HIP kernels you often need to know what the compiler actually allocated: VGPRs, SGPRs, LDS bytes, and whether anything spilled. Those numbers gate occupancy and reveal whether the kernel is register-bound, LDS-bound, or neither.

What .hsaco actually is

A .hsaco is not a raw ELF — it's a __CLANG_OFFLOAD_BUNDLE__ container that wraps an amdgcn-amd-amdhsa--gfxNNN ELF (and possibly a host stub). You must unbundle it before any objdump / readelf tool will recognize it. First 16 bytes will look like __CLANG_OFFLOAD_, confirming the wrapper.

Step-by-step

# Pick your arch — auto-detect from the cache directory if hipfire's
# JIT cache is around, or set explicitly. This works for any RDNA or
# CDNA arch (gfx906/908/90a/942/1010/1030/1100/1101/1102/1150/1151/1200/1201).
ARCH="${ARCH:-$(basename "$(ls -1d .hipfire_kernels/gfx* 2>/dev/null | head -1)")}"
ARCH="${ARCH:-gfx1100}"  # fallback if no cache directory exists

# 1. List bundled targets (confirm the gfx target inside)
/opt/rocm/llvm/bin/clang-offload-bundler \
    --list --type=o \
    --input=path/to/kernel.hsaco
# → hipv4-amdgcn-amd-amdhsa--$ARCH
#   host-x86_64-unknown-linux-gnu-

# 2. Unbundle to a real ELF
/opt/rocm/llvm/bin/clang-offload-bundler \
    --type=o --unbundle \
    --input=path/to/kernel.hsaco \
    --output=/tmp/kernel.elf \
    --targets=hipv4-amdgcn-amd-amdhsa--$ARCH

# 3. Read the AMDGPU note section — this is the metadata
/opt/rocm/llvm/bin/llvm-readelf --notes /tmp/kernel.elf

The --notes output contains a YAML block under amdhsa.kernels: with the relevant fields:

.vgpr_count:                82       # VGPRs allocated per wave
.sgpr_count:                18       # SGPRs (scalar regs) per wave
.vgpr_spill_count:          0        # >0 means spill pressure
.sgpr_spill_count:          0
.group_segment_fixed_size:  256      # static LDS bytes per workgroup
.private_segment_fixed_size:0        # private (scratch) bytes per lane
.max_flat_workgroup_size:   32
.wavefront_size:            32       # 64 = CDNA, 32 = RDNA
.uses_dynamic_stack:        false

Spill canary: .vgpr_spill_count and .sgpr_spill_count may be elided from the YAML when zero (depends on toolchain version). The reliable proxy is .private_segment_fixed_size — if it's 0, the kernel uses no scratch memory and therefore has no register spills. Any non-zero value means VGPRs are spilling to private memory and you should investigate.

For a fast multi-kernel comparison:

for k in kernel1 kernel2 kernel3; do
  echo "=== $k ==="
  /opt/rocm/llvm/bin/llvm-readelf --notes "$k.elf" 2>&1 | \
    grep -E "\.(vgpr_count|sgpr_count|vgpr_spill|sgpr_spill|group_segment_fixed_size|private_segment_fixed_size|wavefront_size):"
done

Disassembly (when you need to see actual instructions)

/opt/rocm/llvm/bin/llvm-objdump --disassemble --mcpu=$ARCH /tmp/kernel.elf

Note: the --mcpu= flag must match the target the ELF was built for. Without it, you'll get incorrect or no decode. Useful for: spotting global_load_* patterns (memory parallelism), v_dot4_i32_i8 (dp4a), v_wmma_* (RDNA3+ matrix), v_mfma_* (CDNA matrix), ds_* (LDS) instructions, s_waitcnt and s_barrier placement.

Architecture cheat-sheet

Arch Wave VGPRs/SIMD Max waves/SIMD LDS/CU Matrix path
gfx906 (Vega/MI50) 64 256 10 64 KB dp4a (v_dot4)
gfx908 (MI100) 64 256 10 64 KB MFMA
gfx90a (MI210/250) 64 512 8 64 KB MFMA
gfx942 (MI300X) 64 512 8 64 KB MFMA
gfx1010 (Navi 10, RDNA1) 32 1024 20 64 KB dp4a only
gfx1030 (Navi 21, RDNA2) 32 1024 16 64 KB dp4a only
gfx1100 (Navi 31, RDNA3) 32 1024 16 64 KB WMMA
gfx1101 / gfx1102 32 1024 16 64 KB WMMA
gfx1150 / gfx1151 (Strix) 32 1024 16 64 KB WMMA
gfx1200 / gfx1201 (RDNA4) 32 1536 16 128 KB WMMA32

Wave64 (CDNA) needs ~2× the VGPRs of wave32 RDNA for the same per- lane pressure: a 32-VGPR wave32 RDNA kernel ≈ 64-VGPR wave64. CDNA kernels frequently sit at 40–80 VGPR; RDNA kernels in the 30–90 range.

Interpreting the numbers — occupancy tables per arch family

Wave64 — gfx906/908 (256 VGPRs/SIMD)

VGPRs/wave Max waves/SIMD Max waves/CU (×4 SIMDs)
≤ 24 10 40
25–28 9 36
29–32 8 32
33–36 7 28
37–40 6 24
41–48 5 20
49–64 4 16
65–84 3 12
85–128 2 8
129–256 1 4

Wave64 — gfx90a/942 (512 VGPRs/SIMD)

Theoretical waves/SIMD = floor(512 / vgpr_count) capped at 8. Common allocation granule = 8 VGPRs.

VGPRs/wave Max waves/SIMD
≤ 64 8
65–80 6
81–96 5
97–128 4
129–170 3
171–256 2

Wave32 — gfx1010+ RDNA (1024 VGPRs/SIMD; gfx1200+ has 1536)

Theoretical waves/SIMD = floor(VGPRs_per_SIMD / vgpr_count) capped at 16 (RDNA1: 20). Common allocation granule = 24 VGPRs (rounded up in groups of 8 for some toolchain versions).

For gfx1100 / gfx1151 (RDNA3, 1024 VGPRs/SIMD):

VGPRs/wave Max waves/SIMD VGPRs/wave Max waves/SIMD
≤ 64 16 65–84 12
85–96 10 97–112 9
113–128 8 129–168 6
169–204 5 205–256 4

For gfx1200 / gfx1201 (RDNA4, 1536 VGPRs/SIMD), divide 1536 by vgpr_count instead of 1024 — same table shifts by 1.5×.

LDS budget: 64 KB per CU on gfx9xx and gfx10xx-1101; 128 KB on gfx1200+. The kernel claims its share via .group_segment_fixed_size. LDS occupancy = floor(LDS_per_CU / group_segment_fixed_size) workgroups per CU; multiply by waves-per-WG to get waves/CU from the LDS side. Actual occupancy = min(VGPR-occupancy, LDS-occupancy, SGPR-occupancy, max-waves-per-CU).

SGPRs are rarely the binder — every modern AMD arch has 800+ SGPRs/CU.

What "high occupancy" does and doesn't tell you

  • Spills (>0) = bug or budget breach. Always investigate. Common culprits: #pragma unroll on too-large loops, deep accumulator trees, large constant arrays. Measure spilled-vs-rolled both ways before committing.
  • High theoretical occupancy + low VALUBusy = memory-bound. More occupancy won't help; you need more in-flight HBM transactions per wave (multi-quad interleave, half-wave splits, prefetch).
  • Low occupancy (≤2 waves/SIMD) + high VALUBusy = look for register reuse / loop fusion to drop VGPR pressure.
  • LDS = 0 + GEMV-shaped kernel is normal for memory-streaming kernels (decode GEMV). LDS only helps if you reuse data.
  • WMMA / MFMA kernels run hot on VGPRs because the matrix accumulator (float8_t for WMMA-f32-16x16x16, float16_t etc.) occupies many VGPRs per wave. 80–120 VGPRs is common for fused GEMM kernels even without spills.

Reproducing — copy/paste recipe (parameterized)

# Defaults — override via environment.
ROCM="${ROCM:-/opt/rocm/llvm/bin}"
ARCH="${ARCH:-$(basename "$(ls -1d .hipfire_kernels/gfx* 2>/dev/null | head -1)")}"
ARCH="${ARCH:-gfx1100}"
KERNEL_DIR="${KERNEL_DIR:-.hipfire_kernels/$ARCH}"
TMP="${TMP:-/tmp/hsaco-extract-$ARCH}"
mkdir -p "$TMP"

# Inspect ALL kernels in the cache, or pass an explicit list as $@:
KERNELS=("$@")
if [ ${#KERNELS[@]} -eq 0 ]; then
  mapfile -t KERNELS < <(ls -1 "$KERNEL_DIR"/*.hsaco 2>/dev/null | xargs -n1 basename | sed 's/\.hsaco$//')
fi

printf "%-50s %4s %4s %5s %5s %6s\n" "kernel" "VGPR" "SGPR" "spill" "LDS" "wave"
for K in "${KERNELS[@]}"; do
  ELF="$TMP/$K.elf"
  $ROCM/clang-offload-bundler --type=o --unbundle \
      --input="$KERNEL_DIR/$K.hsaco" \
      --output="$ELF" \
      --targets=hipv4-amdgcn-amd-amdhsa--$ARCH 2>/dev/null
  notes=$($ROCM/llvm-readelf --notes "$ELF" 2>/dev/null)
  vgpr=$(echo "$notes" | grep -m1 vgpr_count | awk '{print $NF}')
  sgpr=$(echo "$notes" | grep -m1 sgpr_count | awk '{print $NF}')
  spill=$(echo "$notes" | grep -m1 private_segment_fixed_size | awk '{print $NF}')
  lds=$(echo "$notes" | grep -m1 group_segment_fixed_size | awk '{print $NF}')
  wave=$(echo "$notes" | grep -m1 wavefront_size | awk '{print $NF}')
  printf "%-50s %4s %4s %5s %5s %6s\n" "$K" "$vgpr" "$sgpr" "$spill" "$lds" "$wave"
done

(Hipfire's modern JIT-cache directory is .hipfire_kernels/<arch>/; older builds may use kernels/compiled/<arch>/. Adjust KERNEL_DIR accordingly.)

Gotchas

  • The bundler --targets= string must match exactly. For gfx1100 use hipv4-amdgcn-amd-amdhsa--gfx1100. List with --list first if uncertain.
  • llvm-objdump will fail with "not a valid object file" if you forget to unbundle. The error is unhelpful — always unbundle first.
  • vgpr_count is post-allocation (granule-rounded). The actual in-use count may be lower; check disassembly's highest v<N> reference if you need the un-rounded value.
  • code-object-v4 and v5 differ in metadata layout; --notes works for both but raw .amdhsa_* directive parsing does not.
  • The spill fields (.vgpr_spill_count, .sgpr_spill_count) are sometimes omitted from the YAML when zero. .private_segment_fixed_size: 0 is the reliable "no spills" indicator — non-zero always means spills, regardless of which fields the toolchain emits.
  • .max_flat_workgroup_size reports __launch_bounds__(N, ...) 's N value (not the M parameter). To find M (waves/SIMD limit), look at .amdhsa_* directives via raw disassembly.
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