# Technical Document Extraction: Latency Composition Analysis ## Chart Description This image presents a stacked bar chart comparing latency composition across three computational configurations. The chart uses color-coded segments to represent different computational components' contribution to total latency. ### Key Components 1. **Legend** (Top of chart): - GEMMs: Blue - Flash: Gray - Softmax: Orange - DR: Green - LN: Yellow - Other: Purple 2. **X-Axis Categories**: - Small (h=2560, a=20) - Large (h=16384, a=128) - Large + Flash (h=16384, a=128) 3. **Y-Axis**: - Label: "Percentage of Latency (%)" - Range: 0-100% ## Data Analysis ### Spatial Grounding Verification - Legend position: Top-center - Color consistency confirmed: - Blue = GEMMs (dominant in all categories) - Gray = Flash (appears only in Large + Flash) - Orange = Softmax (visible in Small and Large) - Green = DR (small presence in all) - Yellow = LN (minimal in all) - Purple = Other (consistent 1% across all) ### Trend Verification 1. **Small Configuration**: - GEMMs: 68% (blue) - Softmax: 12% (orange) - DR: 6% (green) - LN: 2% (yellow) - Flash: 1% (gray) - Other: 1% (purple) 2. **Large Configuration**: - GEMMs: 94% (blue) - Softmax: 3% (orange) - DR: 1% (green) - LN: 1% (yellow) - Flash: 1% (gray) - Other: 1% (purple) 3. **Large + Flash Configuration**: - GEMMs: 92% (blue) - Flash: 3% (gray) - Softmax: 2% (orange) - DR: 1% (green) - LN: 1% (yellow) - Other: 1% (purple) ## Technical Observations 1. **Dominant Component**: GEMMs consistently represent >90% of latency in Large configurations 2. **Flash Impact**: Addition of Flash in Large + Flash configuration reduces GEMMs' share by 2% while maintaining total latency 3. **Softmax Reduction**: Softmax contribution decreases from 12% (Small) to 2% (Large + Flash) 4. **Stable Components**: DR, LN, and Other maintain <3% contribution across all configurations ## Data Table Reconstruction | Configuration | GEMMs (%) | Flash (%) | Softmax (%) | DR (%) | LN (%) | Other (%) | |--------------------|-----------|-----------|-------------|--------|--------|-----------| | Small (h=2560) | 68 | 1 | 12 | 6 | 2 | 1 | | Large (h=16384) | 94 | 1 | 3 | 1 | 1 | 1 | | Large + Flash | 92 | 3 | 2 | 1 | 1 | 1 | ## Language Analysis - All text appears in English - No non-English content detected ## Critical Findings 1. **Latency Bottleneck**: GEMMs dominate computational latency in large-scale operations 2. **Hardware Impact**: Flash integration shows minimal latency contribution (3%) but enables GEMM optimization 3. **Algorithmic Efficiency**: Softmax and DR components show significant reduction in larger configurations