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atomistic-gpu-batching.typ
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#import "@preview/cetz:0.3.4": canvas, draw
#import draw: line, content, rect, circle, bezier, group
#set page(width: auto, height: auto, margin: 15pt)
#canvas({
// Core constants and reusable values
let plot_width = 24
let timeline_width = 16
let time_tick_spacing = 1.0
let step_width = time_tick_spacing
let step_gap = 0.1
let box_width_factor = 0.9
let rect_height = 0.3
let border_radius = 0.05
let gap = 0.15
let strategy_y_positions = (11, 6.5, 2.0) // Further compressed y-positions
// Colors - more pastel version for better text readability
// Grays
let dark_gray = rgb("#5D6B7A")
let cpu_color = rgb("#8899AA")
let gpu_color = rgb("#6A7A8A")
let section_bg = rgb("#F7FAFC")
// Define a consistent CPU light gray color for all strategies
let cpu_light_gray = cpu_color.lighten(70%)
// Blues with pastel tones
let light_blue = rgb("#BBDEFB")
let mid_blue = rgb("#90CAF9")
let dark_blue = rgb("#64B5F6")
// Greens with pastel tones
let light_green = rgb("#C8E6C9")
let mid_green = rgb("#A5D6A7")
let dark_green = rgb("#81C784")
// Oranges with pastel tones
let light_orange = rgb("#FFE0B2")
let mid_orange = rgb("#FFCC80")
let dark_orange = rgb("#FFB74D")
// Reds with pastel tones
let light_red = rgb("#FFCDD2")
let mid_red = rgb("#EF9A9A")
let dark_red = rgb("#E57373")
// Helper functions
let draw_sim_block(x_pos, y_pos, width, color, label, task_label: "", opacity: 100%) = {
rect(
(x_pos, y_pos - rect_height / 2),
(x_pos + width, y_pos + rect_height / 2),
fill: color.transparentize(100% - opacity),
stroke: color.darken(10%),
radius: border_radius,
name: "block-" + label,
)
if task_label != "" {
content((x_pos + width / 2, y_pos), text(size: 8pt)[#task_label], name: "label-" + label)
}
}
let draw_structure_rect(x_pos, y_pos, width, color, label, struct_name) = {
rect(
(x_pos, y_pos),
(x_pos + 0.95 * width, y_pos + 0.1),
fill: color.transparentize(20%),
stroke: none,
name: "block-" + struct_name,
)
content((x_pos + width / 2, y_pos + 0.15), text(size: 8pt)[#label], name: "label-" + struct_name, anchor: "south")
}
let draw_util_bar(x_pos, y_pos, percentage, label, is_bad: false) = {
// Bar showing CPU or GPU utilization - consolidated function
let width = 2.8
let height = 0.4
// Background bar
rect(
(x_pos, y_pos - height / 2),
(x_pos + width, y_pos + height / 2),
fill: rgb("#E2E8F0"),
stroke: 0.5pt,
radius: 0.1,
name: "bar-bg-" + label,
)
// Filled portion with appropriate color
let fill_width = width * percentage / 100
// Determine color based on percentage and is_bad flag
let fill_color = if is_bad {
light_red.darken(20%) // Use darker red for explicitly marked "bad" utilization
} else if percentage < 30 {
light_red
} else if percentage < 70 {
light_orange
} else {
light_green
}
rect(
(x_pos, y_pos - height / 2),
(x_pos + fill_width, y_pos + height / 2),
fill: fill_color,
stroke: none,
radius: (north-west: 0.1, south-west: 0.1),
name: "bar-fill-" + label,
)
// Label
content(
(rel: (0.03, 0), to: "bar-bg-" + label),
text(size: 8pt, weight: "bold")[#label #percentage%],
name: "bar-label-" + label,
anchor: "center",
)
}
// Title, subtitle and legend
let title_y = 15.0
content(
(plot_width / 2, title_y),
text(weight: "bold", size: 16pt)[GPU Batching Strategies for Atomistic Simulations],
name: "main-title",
)
content(
(rel: (0, -1), to: "main-title"),
text(size: 12pt)[Comparison of Unbatched vs. BinningAutoBatcher vs. InFlightAutoBatcher],
name: "subtitle",
)
// Add section backgrounds and scenario setups
let strategies = (
(strategy_y_positions.at(0), "Unbatched\nSimulations", (80, 5)),
(strategy_y_positions.at(1), "Binning\nAutoBatcher", (40, 60)),
(strategy_y_positions.at(2), "InFlight\nAutoBatcher", (60, 90)),
)
for (idx, (y_pos, label, (cpu_util, gpu_util))) in strategies.enumerate() {
// Background
rect(
(0.5, y_pos - 2.0),
(plot_width - 0.5, y_pos + 2.0),
fill: section_bg,
stroke: none,
radius: border_radius * 3,
name: "section-bg-" + str(idx),
)
// Scenario label
content((2, y_pos + 1.0), text(weight: "bold", size: 12pt)[#label], name: "scenario-label-" + str(idx))
// Utilization meters
draw_util_bar(.8, y_pos - 0.1, cpu_util, "CPU Utilization")
// GPU utilization - mark as bad for unbatched simulations (idx == 0)
draw_util_bar(.8, y_pos - 1, gpu_util, "GPU Utilization", is_bad: idx == 0)
// CPU/GPU labels
content(
(4.6, y_pos + 1.3),
text(fill: cpu_color, size: 10pt, weight: "bold")[CPU],
anchor: "east",
name: "cpu-label-" + str(idx),
)
content(
(4.6, y_pos - 0.5),
text(fill: gpu_color, size: 10pt, weight: "bold")[GPU],
anchor: "east",
name: "gpu-label-" + str(idx),
)
// Timeline axis with ticks
line(
(4.8, y_pos - 1.5),
(4.8 + timeline_width, y_pos - 1.5),
stroke: 0.8pt,
mark: (end: "stealth", fill: black, scale: 0.5),
name: "timeline-" + str(idx),
)
for t in range(1, 17) {
let x_pos = 4 + t * time_tick_spacing
if x_pos <= 4 + timeline_width {
line(
(x_pos, y_pos - 1.5 - 0.05),
(x_pos, y_pos - 1.5 + 0.05),
stroke: 0.8pt,
name: "tick-" + str(idx) + "-" + str(t),
)
content(
(rel: (0, -0.2), to: "tick-" + str(idx) + "-" + str(t)),
text(size: 8pt)[t=#t],
anchor: "north",
name: "tick-label-" + str(idx) + "-" + str(t),
)
}
}
// CPU/GPU separator
let separator_y = if idx == 0 { y_pos + 0.6 } else { y_pos + 0.95 }
line(
(4, separator_y),
(4 + timeline_width, separator_y),
stroke: (dash: "dotted", paint: dark_gray.lighten(30%)),
name: "separator-" + str(idx),
)
}
// 1. Unbatched Simulations
let unbatched_cpu_y = strategy_y_positions.at(0) + 1.4
let unbatched_gpu_y = strategy_y_positions.at(0) - 0.5
// Structure rectangles with consistent pattern
let unbatched_structures = (
(5.0, 2.0, mid_blue, "Structure 1"),
(7.0, 2.3, mid_green, "Structure 2"),
(9.3, 1.8, mid_orange, "Structure 3"),
(11.1, 2.1, mid_red, "Structure 4"),
(13.2, 1.8, dark_green, "Structure 5"),
(15.0, 2.0, dark_green.darken(10%), "Structure 6"),
(17.0, 1.6, dark_green.darken(15%), "Structure 7"),
(18.6, 1.5, dark_green.darken(20%), "Structure 8"),
)
for (idx, (x_pos, width, color, label)) in unbatched_structures.enumerate() {
draw_structure_rect(x_pos, unbatched_cpu_y, width, color, label, "unbatched-" + str(idx + 1) + "-cpu")
}
content((21.8, unbatched_cpu_y - 1.9), text(size: 10pt, weight: "bold")[... continues], anchor: "center")
// CPU operation blocks in a loop
for x in range(22) {
let x_offset = 5.25 + x * 0.7
if x_offset < 20 {
draw_sim_block(
x_offset,
unbatched_cpu_y - 0.4,
0.4,
cpu_light_gray,
"unbatched-cpu-op-" + str(x),
task_label: "",
opacity: 90%,
)
}
}
// GPU blocks with structure IDs and positions
let gpu_blocks = (
(1, dark_blue, (5.5, 6.5)),
(2, dark_green, (7.5, 8.5)),
(3, dark_orange, (9.8, 10.6)),
(4, dark_red, (11.5, 12.5)),
(5, dark_green, (13.8, 14.6, 15.4)),
(6, dark_green.darken(10%), (16.2, 16.8, 17.4, 18.0, 18.6)),
(7, dark_green.darken(15%), (19.2, 19.8)),
)
for (struct_num, color, positions) in gpu_blocks {
for (idx, pos) in positions.enumerate() {
draw_sim_block(
pos,
unbatched_gpu_y,
0.3 * box_width_factor,
color,
"unbatched-" + str(struct_num) + "-gpu-" + str(idx + 1),
task_label: "S" + str(struct_num),
)
}
}
// 2. BinningAutoBatcher
let binning_cpu_y = strategy_y_positions.at(1) + 1.3
let binning_gpu_y = strategy_y_positions.at(1) - 0.85
// CPU processing blocks - simplified to only show prep batch operations
let cpu_blocks = (
(5.0, "Prep batch"),
(10.4, "Prep batch"),
)
for (idx, (x_pos, label)) in cpu_blocks.enumerate() {
draw_sim_block(x_pos, binning_cpu_y, 1.3, cpu_light_gray, "binning-op-" + str(idx), task_label: label)
}
// Batch visualization setup
let s_colors = (
dark_blue,
dark_green,
dark_orange,
dark_red,
dark_blue.darken(10%),
)
let s_labels = ("S1", "S2", "S3", "S4", "S5")
// Bin parameters and active patterns
let bins = (
(
// Bin 1: 6 steps with completion patterns
0,
false,
(
(1, 1, 1, 1, 1), // Step 0: all active
(1, 1, 1, 1, 1), // Step 1: all active
(0, 1, 1, 1, 1), // Step 2: structure 1 completes earlier
(0, 0, 1, 1, 1), // Step 3: structures 1,2 complete
(0, 0, 0, 1, 0), // Step 4: structures 1,2,3,5 complete
(0, 0, 0, 1, 0), // Step 5: only 4 remains
),
),
(
// Bin 2: 6 steps with different completion pattern
6,
true,
(
(1, 1, 1, 1, 1), // Step 0: all active
(1, 1, 1, 1, 1), // Step 1: structure 3 completes early
(0, 1, 0, 1, 1), // Step 2: structures 1,3 complete
(0, 1, 0, 0, 1), // Step 3: only 4,5 remain
(0, 1, 0, 0, 0), // Step 4: only 5 remains
(0, 1, 0, 0, 0), // Step 5: all complete
),
),
)
// Draw both bins with common function
for (start_step, is_second_bin, patterns) in bins {
for step in range(patterns.len()) {
let x_pos = 5.0 + (start_step + step) * (step_width - step_gap)
let box_width = (step_width - step_gap) * box_width_factor
let box_x_start = x_pos + ((step_width - step_gap) - box_width) / 2
// Draw each structure slot
for i in range(5) {
let block_y = binning_gpu_y - 0.3 + i * (rect_height + gap)
let binning_block_name = "binning-block-" + str(start_step) + "-" + str(step) + "-" + str(i)
if patterns.at(step).at(i) == 1 {
let color = s_colors.at(i)
let label = if is_second_bin { "S" + str(i + 6) } else { s_labels.at(i) }
rect(
(box_x_start, block_y - rect_height / 2),
(box_x_start + box_width, block_y + rect_height / 2),
fill: color,
stroke: color.darken(20%),
radius: border_radius,
name: binning_block_name,
)
content(
(box_x_start + box_width / 2, block_y),
text(size: 7pt)[#label],
anchor: "center",
name: binning_block_name + "-label",
)
} else {
// Empty placeholder
rect(
(box_x_start, block_y - rect_height / 2),
(box_x_start + box_width, block_y + rect_height / 2),
fill: light_red.transparentize(90%),
stroke: (dash: "dotted", paint: light_red.transparentize(30%)),
radius: border_radius,
name: binning_block_name + "-empty",
)
}
}
// Add completion label for the last step
if step == patterns.len() - 1 {
content(
(box_x_start - 0.25, binning_gpu_y - 0.45),
text(size: 8pt, fill: dark_gray, style: "italic")[Batch #if is_second_bin [2] else [1] Complete],
anchor: "center",
name: "batch-" + str(if is_second_bin { 2 } else { 1 }) + "-complete-label",
)
}
}
}
for (x_pos, percentage) in ((5.6, 100), (8.0, 60), (9.8, 30), (11, 100), (13.5, 60), (15.5, 20)) {
content(
(x_pos, binning_gpu_y + 2.7),
text(size: 8pt, fill: dark_gray)[#percentage% GPU],
anchor: "center",
)
}
// Explanatory arrows and labels - removing the isolated red arrow
content(
(10.5, binning_gpu_y - 1.5),
text(size: 7pt, fill: dark_red, style: "italic")[Must wait for batch to complete, resulting in underutilized GPU],
anchor: "center",
name: "must-wait",
)
let batch_end_x = 5.0 + 6 * (step_width - step_gap)
let timeline_y = strategy_y_positions.at(1) - 1.5
line(
"must-wait.north",
(batch_end_x, timeline_y),
stroke: (dash: "dotted", paint: dark_red),
mark: (end: "stealth", fill: dark_red, scale: 0.4, offset: 0.05),
name: "must-wait-arrow",
)
// 3. In-flightAutoBatcher
let inflight_cpu_y = strategy_y_positions.at(2) + 1.3
let inflight_gpu_y = strategy_y_positions.at(2) - 0.9
// Structure colors and labels
let all_colors = (
dark_blue,
dark_green,
dark_orange,
dark_red,
dark_blue.darken(10%),
dark_green.darken(10%),
dark_orange.darken(10%),
dark_red.darken(10%),
dark_blue.darken(20%),
dark_green.darken(20%),
)
let all_labels = ("S1", "S2", "S3", "S4", "S5", "S6", "S7", "S8", "S9", "S10")
// Structure placement by time step - fix structure continuity
let structures_by_step = (
(0, 1, 2, 3, 4), // t=1: S1-S5
(0, 1, 2, 3, 4), // t=2: S1-S5 (S1 continues for longer)
(0, 6, 2, 3, 4), // t=3: S1 continues, S6 replaces S2, S3-S5 continue
(5, 6, 7, 3, 4), // t=4: S5, S6-S8, S4 continue (S1 completed, S5 swapped in)
(5, 6, 7, 8, 4), // t=5: S5-S9, S4 (S3 completed, S8 swapped in)
(5, 6, 7, 8, 9), // t=6: S5-S10 (S4 completed, S9 swapped in)
(5, 6, 7, 8, 9), // t=7: still fully filled
(5, 6, 7, -1, -1), // t=8: final step, partially filled (about 50%) - using S6 instead of isolated S4
)
// Place CPU operations equidistant, one for each time step
// Create the same number of prep boxes as structure steps (8 steps)
// Draw CPU operations - one per time step
for step in range(structures_by_step.len()) {
let x_pos = 5.0 + step * (step_width - step_gap)
let box_width = (step_width - step_gap) * box_width_factor * 0.7 // Make boxes 10% wider (70% instead of 60%)
// Left align by using 10% of remaining space as left margin instead of centering
let box_x_start = x_pos + ((step_width - step_gap) - box_width) * 0.1
// Use the same generic gray for all prep blocks
draw_sim_block(
box_x_start,
inflight_cpu_y,
box_width,
cpu_light_gray,
"inflight-prep-" + str(step),
task_label: "Prep",
)
}
// Draw all structures by step
for step in range(structures_by_step.len()) {
let x_pos = 5.0 + step * (step_width - step_gap)
let box_width = (step_width - step_gap) * box_width_factor
let box_x_start = x_pos + ((step_width - step_gap) - box_width) / 2
// Create a batch name for this step
let batch_name = "inflight-batch-" + str(step)
// Draw each structure position
for pos in range(5) {
let struct_idx = structures_by_step.at(step).at(pos)
let block_y = inflight_gpu_y - 0.3 + pos * (rect_height + gap)
let block_name = "inflight-block-" + str(step) + "-" + str(pos)
if struct_idx != -1 {
let color = all_colors.at(struct_idx)
let label = all_labels.at(struct_idx)
// Structure box
rect(
(box_x_start, block_y - rect_height / 2),
(box_x_start + box_width, block_y + rect_height / 2),
fill: color,
stroke: color.darken(20%),
radius: border_radius,
name: block_name,
)
content(
(box_x_start + box_width / 2, block_y),
text(size: 7pt)[#label],
name: block_name + "-label",
anchor: "center",
)
// Swap-in indicator
if step > 0 {
let prev_structures = structures_by_step.at(step - 1)
let prev_block_name = "inflight-block-" + str(step - 1) + "-" + str(pos)
if pos < prev_structures.len() and prev_structures.at(pos) != struct_idx {
// Simple diagonal line for swap-in indicator
line(
(rel: (0, 0), to: block_name + ".south-west"), // End at the block edge
(rel: (-0.25, -0.3), to: block_name + ".south-west"), // Start from outside
stroke: (dash: "dotted", paint: dark_green),
mark: (start: "stealth", fill: dark_green, scale: 0.3),
name: block_name + "-swap-indicator",
)
}
}
} else {
// Empty placeholders with dotted lines to indicate unused GPU cycles
rect(
(box_x_start, block_y - rect_height / 2),
(box_x_start + box_width, block_y + rect_height / 2),
fill: light_red.transparentize(90%),
stroke: (dash: "dotted", paint: light_red.transparentize(30%)),
radius: border_radius,
name: block_name + "-empty",
)
}
}
// Mark the last batch specially
if step == structures_by_step.len() - 1 {
// Store a reference to the last batch for later reference
let final_block_name = "inflight-block-" + str(step) + "-0"
// Instead of using absolute positioning, use relative positioning
// based on the named elements we just created
content(
(rel: (box_width + 1.7, 0.2), to: final_block_name),
text(size: 8pt, fill: dark_gray, style: "italic")[Final batch partially filled],
anchor: "center",
name: "final-batch-label",
)
}
}
// First label with frame
content(
(plot_width / 2, -0.8),
text(
size: 9pt,
weight: "bold",
fill: dark_green,
)[In-flight batching achieves highest GPU utilization and maximizes predictions per unit time],
frame: "rect",
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// Summary notes
content(
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box(width: 50em)[
*Unbatched:* Each simulation runs sequentially with most calculations on CPU and minimal GPU utilization\
*Binning:* Fixed-size batches improve GPU utilization but can't adapt to varying simulation completion times\
*In-flight:* Dynamic reallocation eliminates GPU idle time by immediately adding new structures when others complete. Color changes indicate in-flight structure replacement.
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