compilation: stop pinning aiecc to one thread - #185
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Both aiecc rules defaulted AIECC_JOBS to 1, so every design's per-core compiles ran serially. On the encoder-MHA design (24 cores) that is 7.7 s against 6.0 s at aiecc's own auto-detect; nothing above 8 helps. -j does not change the output: insts.bin and all 24 per-core ELFs are byte-identical between -j1 and -j16.
andrej
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Is anything setting AIECC_JOBS = 1 for CI? If not, please add that, our our CI will constantly OOM.
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| # aiecc's own default. "1" here made every design's per-core compiles serial: on | ||
| # the encoder-MHA design (24 cores) aiecc costs 7.7 s at -j1 and 6.0 s at -j0, and | ||
| # nothing above 8 helps. Safe because -j does not change what aiecc produces -- | ||
| # measured on that design, insts.bin and all 24 per-core ELFs are byte-identical | ||
| # between -j1 and -j16, and input_with_addresses.mlir differs only in the work-dir | ||
| # path it embeds, which two runs at the SAME -j also differ in. |
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| # aiecc's own default. "1" here made every design's per-core compiles serial: on | |
| # the encoder-MHA design (24 cores) aiecc costs 7.7 s at -j1 and 6.0 s at -j0, and | |
| # nothing above 8 helps. Safe because -j does not change what aiecc produces -- | |
| # measured on that design, insts.bin and all 24 per-core ELFs are byte-identical | |
| # between -j1 and -j16, and input_with_addresses.mlir differs only in the work-dir | |
| # path it embeds, which two runs at the SAME -j also differ in. | |
| # Default parallelism setting used when environment variable AIECC_JOBS is not set. | |
| # 0 means auto-detect. |
Contributor
CI Test Resultsb13d03d (2026_09_08_22_57_11) IRON - CI SummaryExamplesiron/applications/llama_3.2_1b
Smalliron/operators/axpy
iron/operators/dequant
iron/operators/elementwise_add
iron/operators/elementwise_mul
iron/operators/gelu
iron/operators/gemm
iron/operators/gemv
iron/operators/layer_norm
iron/operators/leaky_relu
iron/operators/mem_copy
iron/operators/relu
iron/operators/repeat
iron/operators/rms_norm
iron/operators/rope
iron/operators/sigmoid
iron/operators/silu
iron/operators/softmax
iron/operators/strided_copy
iron/operators/swiglu_decode
iron/operators/swiglu_prefill
iron/operators/tanh
iron/operators/transpose
Krackan - ExamplesIRONTested on iron/applications/llama_3.2_1b
Trends: IRON Trendsiron/applications/llama_3.2_1btest_llama_3_2_1b[llama_3.2_1b_prompt_1024_tokens_1]
test_llama_3_2_1b[llama_3.2_1b_prompt_1024_tokens_40]
test_llama_3_2_1b[llama_3.2_1b_prompt_13_tokens_1]
test_llama_3_2_1b[llama_3.2_1b_prompt_13_tokens_40]
Phoenix - SmallIRONTested on iron/operators/axpy
iron/operators/dequant
iron/operators/elementwise_add
iron/operators/elementwise_mul
iron/operators/gelu
iron/operators/gemm
iron/operators/gemv
iron/operators/layer_norm
iron/operators/leaky_relu
iron/operators/mem_copy
iron/operators/relu
iron/operators/repeat
iron/operators/rms_norm
iron/operators/rope
iron/operators/sigmoid
iron/operators/silu
iron/operators/softmax
iron/operators/strided_copy
iron/operators/swiglu_decode
iron/operators/swiglu_prefill
iron/operators/tanh
iron/operators/transpose
Trends: IRON Trendsiron/operators/axpytest_axpy[input_length_2048-num_aie_columns_1-tile_size_2048-scalar_factor_3.0]
test_axpy[input_length_2048-num_aie_columns_2-tile_size_1024-scalar_factor_3.0]
test_axpy[input_length_2048-num_aie_columns_4-tile_size_512-scalar_factor_3.0]
iron/operators/dequanttest_dequant[input_length_2048-num_aie_columns_1-num_channels_1-tile_size_2048-group_size_32]
test_dequant[input_length_2048-num_aie_columns_1-num_channels_2-tile_size_1024-group_size_32]
test_dequant[input_length_2048-num_aie_columns_2-num_channels_1-tile_size_1024-group_size_32]
test_dequant[input_length_2048-num_aie_columns_2-num_channels_2-tile_size_512-group_size_32]
test_dequant[input_length_2048-num_aie_columns_4-num_channels_1-tile_size_512-group_size_32]
test_dequant[input_length_2048-num_aie_columns_4-num_channels_2-tile_size_256-group_size_32]
iron/operators/elementwise_addtest_elementwise_add[input_length_2048-num_aie_columns_1-tile_size_2048]
test_elementwise_add[input_length_2048-num_aie_columns_2-tile_size_1024]
test_elementwise_add[input_length_2048-num_aie_columns_4-tile_size_512]
iron/operators/elementwise_multest_elementwise_mul[input_length_2048-num_aie_columns_1-tile_size_2048]
test_elementwise_mul[input_length_2048-num_aie_columns_2-tile_size_1024]
test_elementwise_mul[input_length_2048-num_aie_columns_4-tile_size_512]
iron/operators/gelutest_gelu[input_length_2048-num_aie_columns_1-num_channels_1-tile_size_2048]
test_gelu[input_length_2048-num_aie_columns_1-num_channels_2-tile_size_1024]
test_gelu[input_length_2048-num_aie_columns_2-num_channels_1-tile_size_1024]
test_gelu[input_length_2048-num_aie_columns_2-num_channels_2-tile_size_512]
test_gelu[input_length_2048-num_aie_columns_4-num_channels_1-tile_size_512]
test_gelu[input_length_2048-num_aie_columns_4-num_channels_2-tile_size_256]
iron/operators/gemmtest_gemm[M_192-K_384-N_64-num_aie_columns_4-b_col_maj_False-c_col_maj_False-m_48-k_96-n_16-trace_size_0-partition_N_1]
test_gemm[M_192-K_384-N_64-num_aie_columns_4-b_col_maj_True-c_col_maj_True-m_48-k_96-n_16-trace_size_0-partition_N_1]
test_gemm[M_2048-K_2048-N_2048-num_aie_columns_1-b_col_maj_False-c_col_maj_False-m_64-k_64-n_64-trace_size_0-partition_N_1]
test_gemm[M_2048-K_2048-N_2048-num_aie_columns_2-b_col_maj_True-c_col_maj_False-m_64-k_64-n_64-trace_size_0-partition_N_1]
test_gemm[M_384-K_1536-N_1792-num_aie_columns_4-b_col_maj_True-c_col_maj_False-m_32-k_48-n_64-trace_size_0-partition_N_1]
test_gemm[M_64-K_512-N_256-num_aie_columns_4-b_col_maj_True-c_col_maj_False-m_16-k_64-n_64-trace_size_0-partition_N_4]
iron/operators/gemvtest_gemv[M_128-K_128-num_aie_columns_1-tile_size_input_32-tile_size_output_128]
test_gemv[M_2048-K_8192-num_aie_columns_1-tile_size_input_1-tile_size_output_2048]
test_gemv[M_2048-K_8192-num_aie_columns_2-tile_size_input_1-tile_size_output_1024]
test_gemv[M_2048-K_8192-num_aie_columns_4-tile_size_input_1-tile_size_output_512]
test_gemv[M_8192-K_2048-num_aie_columns_1-tile_size_input_4-tile_size_output_1024]
test_gemv[M_8192-K_2048-num_aie_columns_2-tile_size_input_4-tile_size_output_1024]
test_gemv[M_8192-K_2048-num_aie_columns_4-tile_size_input_4-tile_size_output_1024]
test_gemv_batched[M_1024-K_1024-num_aie_columns_1-tile_size_input_1-tile_size_output_64-num_batches_2]
test_gemv_batched[M_1026-K_64-num_aie_columns_1-tile_size_input_1-tile_size_output_2-num_batches_2]
test_gemv_batched[M_256-K_128-num_aie_columns_1-tile_size_input_1-tile_size_output_256-num_batches_4]
test_gemv_batched[M_64-K_1536-num_aie_columns_1-tile_size_input_1-tile_size_output_64-num_batches_8]
test_gemv_gelu[M_128-K_128-num_aie_columns_1-tile_size_input_32-tile_size_output_128]No metrics available. test_gemv_gelu[M_2048-K_8192-num_aie_columns_1-tile_size_input_1-tile_size_output_2048]No metrics available. test_gemv_gelu[M_8192-K_2048-num_aie_columns_1-tile_size_input_4-tile_size_output_1024]No metrics available. iron/operators/layer_normtest_layer_norm[input_length_2048-num_aie_columns_1-num_channels_1-tile_size_2048]
test_layer_norm[input_length_2048-num_aie_columns_1-num_channels_2-tile_size_1024]
test_layer_norm[input_length_2048-num_aie_columns_2-num_channels_1-tile_size_1024]
test_layer_norm[input_length_2048-num_aie_columns_2-num_channels_2-tile_size_512]
test_layer_norm[input_length_2048-num_aie_columns_4-num_channels_1-tile_size_512]
test_layer_norm[input_length_2048-num_aie_columns_4-num_channels_2-tile_size_256]
iron/operators/leaky_relutest_leaky_relu[input_length_2048-num_aie_columns_1-num_channels_1-tile_size_2048-alpha_0.01]
test_leaky_relu[input_length_2048-num_aie_columns_1-num_channels_1-tile_size_2048-alpha_0.1]
test_leaky_relu[input_length_2048-num_aie_columns_1-num_channels_1-tile_size_2048-alpha_0.25]
test_leaky_relu[input_length_2048-num_aie_columns_1-num_channels_2-tile_size_1024-alpha_0.01]
test_leaky_relu[input_length_2048-num_aie_columns_2-num_channels_1-tile_size_1024-alpha_0.01]
test_leaky_relu[input_length_2048-num_aie_columns_2-num_channels_2-tile_size_512-alpha_0.01]
test_leaky_relu[input_length_2048-num_aie_columns_4-num_channels_1-tile_size_512-alpha_0.01]
test_leaky_relu[input_length_2048-num_aie_columns_4-num_channels_2-tile_size_256-alpha_0.01]
iron/operators/mem_copytest_mem_copy[input_length_2048-num_cores_1-num_channels_1-bypass_False-tile_size_2048]
test_mem_copy[input_length_2048-num_cores_2-num_channels_1-bypass_False-tile_size_1024]
test_mem_copy[input_length_2048-num_cores_2-num_channels_2-bypass_False-tile_size_1024]
test_mem_copy[input_length_2048-num_cores_4-num_channels_1-bypass_False-tile_size_512]
test_mem_copy[input_length_2048-num_cores_4-num_channels_2-bypass_False-tile_size_512]
test_mem_copy[input_length_2048-num_cores_8-num_channels_2-bypass_False-tile_size_256]
iron/operators/repeattest_cols_without_a_legal_split_is_rejected[cols_1031-why_prime > 1023: the only divisors are 1 and cols, neither legal]No metrics available. test_cols_without_a_legal_split_is_rejected[cols_2062-why_2 x 1031: the only word-aligned chunk leaves a 1031-wide chunk count]No metrics available. test_cols_without_a_legal_split_is_rejected[cols_513-why_odd: every divisor is odd, so no chunk is a whole 32-bit word]No metrics available. test_repeat[rows_4-cols_1024-repeat_2-transfer_size_None]
test_repeat[rows_8-cols_512-repeat_4-transfer_size_64]
test_repeat[rows_8-cols_64-repeat_4-transfer_size_None]
iron/operators/rms_normtest_rms_norm[input_length_2048-num_aie_columns_1-num_channels_1-tile_size_2048-weighted_False]
test_rms_norm[input_length_2048-num_aie_columns_1-num_channels_1-tile_size_2048-weighted_True]
test_rms_norm[input_length_2048-num_aie_columns_1-num_channels_2-tile_size_1024-weighted_False]
test_rms_norm[input_length_2048-num_aie_columns_1-num_channels_2-tile_size_1024-weighted_True]
test_rms_norm[input_length_2048-num_aie_columns_2-num_channels_1-tile_size_1024-weighted_False]
test_rms_norm[input_length_2048-num_aie_columns_2-num_channels_1-tile_size_1024-weighted_True]
test_rms_norm[input_length_2048-num_aie_columns_2-num_channels_2-tile_size_512-weighted_False]
test_rms_norm[input_length_2048-num_aie_columns_2-num_channels_2-tile_size_512-weighted_True]
test_rms_norm[input_length_2048-num_aie_columns_4-num_channels_1-tile_size_512-weighted_False]
test_rms_norm[input_length_2048-num_aie_columns_4-num_channels_1-tile_size_512-weighted_True]
test_rms_norm[input_length_2048-num_aie_columns_4-num_channels_2-tile_size_256-weighted_False]
iron/operators/ropetest_rope[rows_32-cols_512-angle_rows_32-aie_columns_1-method_type_0]
test_rope[rows_32-cols_512-angle_rows_32-aie_columns_2-method_type_0]
test_rope[rows_32-cols_512-angle_rows_32-aie_columns_4-method_type_0]
test_rope[rows_32-cols_512-angle_rows_8-aie_columns_1-method_type_0]
test_rope[rows_32-cols_512-angle_rows_8-aie_columns_2-method_type_0]
test_rope[rows_32-cols_512-angle_rows_8-aie_columns_4-method_type_0]
iron/operators/softmaxtest_softmax[input_length_32768-num_aie_columns_2-num_channels_2-tile_size_1024]
test_softmax[input_length_32768-num_aie_columns_2-num_channels_2-tile_size_2048]
test_softmax[input_length_32768-num_aie_columns_2-num_channels_2-tile_size_512]
iron/operators/strided_copytest_strided_copy[chunked_transfer]
test_strided_copy[contiguous]
test_strided_copy[four_channels]
test_strided_copy[kv_slot0]
test_strided_copy[kv_slot5]
test_strided_copy[kv_slot5_four_channels]
test_strided_copy[kv_slot5_two_channels]
test_strided_copy[kv_slot_last]
test_strided_copy[two_channels]
test_strided_copy[two_channels_chunked]
test_transfer_size_not_dividing_per_channel_share_is_rejected[iter0]No metrics available. test_transfer_size_not_dividing_per_channel_share_is_rejected[iter1]No metrics available. test_transfer_size_not_dividing_per_channel_share_is_rejected[iter2]No metrics available. test_transfer_size_not_dividing_per_channel_share_is_rejected[iter3]No metrics available. test_transfer_size_not_dividing_per_channel_share_is_rejected[iter4]No metrics available. iron/operators/swiglu_decodetest_swiglu_decode[embedding_dim_1024-hidden_dim_3584]
test_swiglu_decode[embedding_dim_2048-hidden_dim_2048]
iron/operators/swiglu_prefilltest_swiglu_prefill[seq_len_256-embedding_dim_2048-hidden_dim_2048-prio_accuracy_False]
iron/operators/transposetest_transpose[M_2048-N_64-aie_columns_1-channels_1-m_64-n_64-s_8-num_batches_1]
test_transpose[M_2048-N_64-aie_columns_1-channels_1-m_64-n_64-s_8-num_batches_2]
test_transpose[M_2048-N_64-aie_columns_1-channels_1-m_64-n_64-s_8]
test_transpose[M_2048-N_64-aie_columns_1-channels_2-m_64-n_64-s_8-num_batches_1]
test_transpose[M_2048-N_64-aie_columns_1-channels_2-m_64-n_64-s_8]
Phoenix - ExamplesIRONTested on Trends: IRON Trends |
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Problem
Both aiecc rules default
AIECC_JOBSto1:so every design's per-core compiles run one at a time, whatever the machine has. aiecc's own default
is auto-detect, and nothing here explains the override.
Fix
Default to
0, which is aiecc's auto-detect. The environment variable still overrides, so anyone whowants one thread keeps it.
Test
On a 24-core design (
StaticMHA, 20 heads, 8 pipelines): aiecc goes from 7.7 s to 6.0 s. Nothingabove 8 threads helps.
-jdoes not change what aiecc produces, so this is safe rather than a trade:insts.binand all 24per-core ELFs are byte-identical between
-j1and-j16, andinput_with_addresses.mlirdiffersonly in the work-dir path it embeds — which two runs at the same
-jalso differ in.