add tuned GEMM config for Qwen3.5 bf16 on MI308X#3077
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add tuned GEMM config for Qwen3.5 bf16 on MI308X#3077
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hipblaslt tuned GEMM configuration for Qwen3.5-27B bf16 inference on MI308X (80 CUs, TP2). Covers common M/N/K shapes for dense linear layers. Benchmark (MI308X, Qwen3.5-27B, TP2, ISL=60381, OSL=132): | Version | TPOT(ms) | TTFT(ms) | Tput/GPU | |---------------------------------|----------|----------|----------| | ATOM baseline | 18.7 | 15266 | 1574 | | + layernorm + qwen3_next optim | 15.6 | 15300 | 1605 | | + tuned GEMM (this patch) | 15.0 | 11405 | 2088 | TTFT reduced by 25% (15300 → 11405 ms), throughput +30% (1605 → 2088). Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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I will choose other libtypes and try again. |
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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Summary
Benchmark
MI308X, Qwen3.5-27B, ATOM SGLang plugin mode, TP2, ISL=60381, OSL=132:
Files Changed
aiter/configs/model_configs/qwen35_bf16_tuned_gemm.csv— tuning configTest plan
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