## Bar Chart: Performance Speedup by Threshold ### Overview The image is a bar chart comparing the performance speedup (%) for different threshold values (64, 128, 256) and the geometric mean across different configurations (PRAC-1, PRAC-2, PRAC-4, and All). ### Components/Axes * **Title:** Threshold * **Y-axis:** Performance Speedup (%) * Scale: 0% to 50% in increments of 10%. * **X-axis:** Categories: PRAC-1, PRAC-2, PRAC-4, All * **Legend:** Located at the top of the chart. * Blue: 64 * Orange: 128 * Green: 256 * Gray: Geomean ### Detailed Analysis * **PRAC-1:** * 64 (Blue): Approximately 21% * 128 (Orange): Approximately 12% * 256 (Green): Approximately 9% * Geomean (Gray): 13.4% * **PRAC-2:** * 64 (Blue): Approximately 32% * 128 (Orange): Approximately 16% * 256 (Green): Approximately 11% * Geomean (Gray): 17.6% * **PRAC-4:** * 64 (Blue): Approximately 52% * 128 (Orange): Approximately 22% * 256 (Green): Approximately 13% * Geomean (Gray): 24.8% * **All:** * Geomean (Gray): 20.3% ### Key Observations * The '64' threshold (blue bars) consistently yields the highest performance speedup across all PRAC configurations. * The '256' threshold (green bars) generally results in the lowest performance speedup. * PRAC-4 shows the most significant performance speedup, especially with the '64' threshold. * The Geomean performance speedup increases from PRAC-1 to PRAC-4. ### Interpretation The chart indicates that a threshold value of 64 generally provides the best performance speedup compared to higher threshold values (128 and 256). The performance is also highly dependent on the PRAC configuration, with PRAC-4 showing the most significant gains. The geometric mean provides an overall average performance speedup for each configuration, showing an increasing trend from PRAC-1 to PRAC-4. The "All" category represents the geometric mean across all PRAC configurations.

\n ## Bar Chart: Performance Speedup vs. Threshold ### Overview This bar chart illustrates the performance speedup (in percentage) achieved for different workloads (PRAC-1, PRAC-2, PRAC-4, and All) using varying thresholds (64, 128, 256) and the geometric mean. The y-axis represents the performance speedup in percentage, while the x-axis represents the workload. ### Components/Axes * **X-axis:** Workload - PRAC-1, PRAC-2, PRAC-4, All * **Y-axis:** Performance Speedup (%) - Scale ranges from 0 to 55, with increments of 10. * **Legend:** Located at the top-center of the chart. * 64 (Blue) * 128 (Orange) * 256 (Gray) * Geomean (Dark Gray) ### Detailed Analysis The chart consists of grouped bar plots for each workload, representing the performance speedup for each threshold and the geometric mean. **PRAC-1:** * Threshold 64 (Blue): Approximately 19%. * Threshold 128 (Orange): Approximately 11%. * Threshold 256 (Gray): Approximately 13.4%. * Geomean (Dark Gray): Approximately 13.4%. **PRAC-2:** * Threshold 64 (Blue): Approximately 32%. * Threshold 128 (Orange): Approximately 15%. * Threshold 256 (Gray): Approximately 17.6%. * Geomean (Dark Gray): Approximately 17.6%. **PRAC-4:** * Threshold 64 (Blue): Approximately 52%. * Threshold 128 (Orange): Approximately 22%. * Threshold 256 (Gray): Approximately 24.8%. * Geomean (Dark Gray): Approximately 24.8%. **All:** * Threshold 64 (Blue): Approximately 28%. * Threshold 128 (Orange): Approximately 18%. * Threshold 256 (Gray): Approximately 20.3%. * Geomean (Dark Gray): Approximately 20.3%. ### Key Observations * For all workloads, the threshold of 64 generally yields the highest performance speedup. * The performance speedup decreases as the threshold increases from 64 to 128 and 256. * The Geomean values are consistent with the threshold 256 values. * PRAC-4 shows the most significant speedup, particularly with a threshold of 64. * PRAC-1 shows the least speedup across all thresholds. ### Interpretation The data suggests that a lower threshold (64) generally leads to better performance speedup across all workloads. This could be due to the increased granularity of data processing at lower thresholds, allowing for more efficient optimization. The geometric mean provides a consolidated view of performance, aligning with the results obtained at a threshold of 256. The varying speedup across different workloads (PRAC-1, PRAC-2, PRAC-4, and All) indicates that the optimal threshold might be workload-dependent. PRAC-4, exhibiting the highest speedup, may benefit more from the lower threshold due to its specific characteristics. The consistent trend of decreasing speedup with increasing thresholds suggests a trade-off between threshold granularity and computational cost. The "All" workload represents an average across all workloads, and its performance is generally lower than the best-performing individual workload (PRAC-4).

# Technical Document Analysis: Performance Speedup Chart ## Chart Overview The image is a **grouped bar chart** titled **"Threshold"**, comparing performance speedup percentages across different computational thresholds (64, 128, 256) and a geometric mean (Geomean) across three PRAC categories (PRAC-1, PRAC-2, PRAC-4) and an aggregated "All" category. --- ### **Legend & Color Mapping** - **Legend Position**: Top of the chart. - **Color-Coded Thresholds**: - **Blue**: Threshold = 64 - **Orange**: Threshold = 128 - **Green**: Threshold = 256 - **Gray**: Geomean (geometric mean of thresholds) - **Verification**: All bar colors strictly align with the legend (e.g., PRAC-1's blue bar = 20.7%, orange = 12.1%, green = 9.5%, gray = 13.4%). --- ### **Axis Labels** - **X-Axis**: Categories labeled as `PRAC-1`, `PRAC-2`, `PRAC-4`, and `All`. - **Y-Axis**: Labeled **"Performance Speedup (%)"**, ranging from 0% to 50% in 10% increments. - **Gridlines**: Dashed horizontal lines at every 10% increment. --- ### **Data Points & Trends** #### **PRAC-1** - **Threshold 64 (Blue)**: 20.7% - **Threshold 128 (Orange)**: 12.1% - **Threshold 256 (Green)**: 9.5% - **Geomean (Gray)**: 13.4% - **Trend**: Speedup decreases as threshold increases. Geomean (13.4%) lies between 12.1% and 9.5%, consistent with geometric mean calculation. #### **PRAC-2** - **Threshold 64 (Blue)**: 32.1% - **Threshold 128 (Orange)**: 15.8% - **Threshold 256 (Green)**: 10.7% - **Geomean (Gray)**: 17.6% - **Trend**: Similar decreasing pattern. Geomean (17.6%) aligns with geometric mean of 32.1%, 15.8%, and 10.7%. #### **PRAC-4** - **Threshold 64 (Blue)**: 52.3% - **Threshold 128 (Orange)**: 22.4% - **Threshold 256 (Green)**: 13.1% - **Geomean (Gray)**: 24.8% - **Trend**: Highest speedup at threshold 64. Geomean (24.8%) reflects geometric mean of 52.3%, 22.4%, and 13.1%. #### **All** - **Geomean (Gray)**: 20.3% - **Trend**: Represents an aggregated geometric mean across all PRAC categories. No bars for thresholds 64, 128, or 256. --- ### **Key Observations** 1. **Threshold Impact**: Higher thresholds (256) consistently yield lower speedups across all PRAC categories. 2. **Geomean Behavior**: The geometric mean (gray bars) provides a normalized performance metric, balancing the effects of varying thresholds. 3. **PRAC-4 Dominance**: PRAC-4 exhibits the highest speedup at threshold 64 (52.3%), suggesting it is optimized for lower thresholds. 4. **Aggregated Data**: The "All" category isolates the Geomean (20.3%), likely representing a system-wide average. --- ### **Structural Notes** - **Chart Type**: Grouped bar chart with four categories on the x-axis. - **Data Representation**: Each PRAC category has three bars (thresholds 64, 128, 256) and one Geomean bar. The "All" category only includes the Geomean. - **Visual Clarity**: Color coding and gridlines enhance readability of performance differences. --- ### **Conclusion** The chart illustrates how performance speedup varies with computational thresholds across different PRAC configurations. The geometric mean provides a consistent benchmark, while PRAC-4 demonstrates the highest efficiency at lower thresholds. No textual data beyond the legend, axis labels, and embedded percentages is present.