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https://github.com/RRZE-HPC/OSACA.git
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Improve dependency graph colouring
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@@ -521,8 +521,10 @@ class KernelDG(nx.DiGraph):
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for dep in lcd:
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lcd_line_numbers[dep] = [x.line_number for x, lat in lcd[dep]["dependencies"]]
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# add color scheme
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graph.graph["node"] = {"colorscheme": "set312"}
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graph.graph["edge"] = {"colorscheme": "set312"}
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graph.graph["node"] = {"colorscheme": "spectral9"}
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graph.graph["edge"] = {"colorscheme": "spectral9"}
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min_color = 2
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available_colors = 8
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# create LCD edges
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for dep in lcd_line_numbers:
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@@ -541,21 +543,14 @@ class KernelDG(nx.DiGraph):
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for n in cp:
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graph.nodes[n.line_number]["instruction_form"].latency_cp = n.latency_cp
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# color CP and LCD
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# Make the critical path bold.
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for n in graph.nodes:
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if n in cp_line_numbers:
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# graph.nodes[n]['color'] = 1
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graph.nodes[n]["style"] = "bold"
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graph.nodes[n]["penwidth"] = 4
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for col, dep in enumerate(lcd):
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if n in lcd_line_numbers[dep]:
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if "style" not in graph.nodes[n]:
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graph.nodes[n]["style"] = "filled"
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elif ",filled" not in graph.nodes[n]["style"]:
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graph.nodes[n]["style"] += ",filled"
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graph.nodes[n]["fillcolor"] = 2 + col % 11
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# color edges
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# Make critical path edges bold.
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for e in graph.edges:
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if (
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graph.nodes[e[0]]["instruction_form"].line_number in cp_line_numbers
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@@ -569,12 +564,81 @@ class KernelDG(nx.DiGraph):
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if bold_edge:
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graph.edges[e]["style"] = "bold"
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graph.edges[e]["penwidth"] = 3
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for dep in lcd_line_numbers:
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if (
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graph.nodes[e[0]]["instruction_form"].line_number in lcd_line_numbers[dep]
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and graph.nodes[e[1]]["instruction_form"].line_number in lcd_line_numbers[dep]
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):
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graph.edges[e]["color"] = graph.nodes[e[1]]["fillcolor"]
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# Color the cycles created by loop-carried dependencies, longest first, never recoloring
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# any node, so that the longest LCD and most long chains that are involved in the loop are
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# legible.
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for i, dep in enumerate(sorted(lcd, key=lambda dep: -lcd[dep]["latency"])):
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# For cycles that are broken by already-colored (longer) cycles, the color need not be
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# the same for each yet-uncolored arc.
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# Do not use the same color for such an arc as for the cycles that delimit it. This is
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# always possible with 3 colors, as each arc is only adjacent to the preceding and
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# following interrupting cycles.
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# Since we color edges as well as nodes, there would be room for a more interesting
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# graph coloring problem: we could avoid having unrelated arcs with the same color
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# meeting at the same vertex, and retain the same color between arcs of the same cycle
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# that are interrupted by a single vertex. We mostly ignore this problem.
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# The longest cycle will always have color 1, the second longest cycle will always have
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# color 2 except where it overlaps with with the longest cycle, etc.; for arcs that are
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# part of short cycles, the colors will be less predictable.
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default_color = min_color + i % available_colors
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arc = []
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arc_source = lcd_line_numbers[dep][-1]
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arcs = []
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for n in lcd_line_numbers[dep]:
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if "fillcolor" in graph.nodes[n]:
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arcs.append((arc, (arc_source, n)))
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arc = []
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arc_source = n
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else:
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arc.append(n)
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if not arcs: # Unconstrained cycle.
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arcs.append((arc, tuple()))
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else:
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arcs.append((arc, (arc_source, lcd_line_numbers[dep][0])))
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# Try to color the whole cycle with its default color, then with a single color, then
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# with different colors by arc, preferring the default.
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forbidden_colors = set(
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graph.nodes[n]["fillcolor"] for arc, extremities in arcs for n in extremities
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if "fillcolor" in graph.nodes[n]
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)
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global_color = None
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if default_color not in forbidden_colors:
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global_color = default_color
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elif len(forbidden_colors) < available_colors:
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global_color = next(
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c for c in range(min_color, min_color + available_colors + 1)
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if c not in forbidden_colors
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)
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for arc, extremities in arcs:
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if global_color:
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color = global_color
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else:
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color = default_color
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while color in (graph.nodes[n].get("fillcolor") for n in extremities):
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color = min_color + (color + 1) % available_colors
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for n in arc:
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if "style" not in graph.nodes[n]:
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graph.nodes[n]["style"] = "filled"
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else:
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graph.nodes[n]["style"] += ",filled"
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graph.nodes[n]["fillcolor"] = color
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if extremities:
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(source, sink) = extremities
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else:
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source = sink = arc[0]
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arc = arc[1:]
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for u, v in zip([source] + arc, arc + [sink]):
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# The backward edge of the cycle is represented as the corresponding forward
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# edge with the attribute dir=back.
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edge = graph.edges[v, u] if (v, u) in graph.edges else graph.edges[u, v]
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if arc:
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if "color" in edge:
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raise AssertionError(
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f"Recoloring {u}->{v} in arc ({source}) {arc} ({sink}) of {dep}"
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)
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edge["color"] = color
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# rename node from [idx] to [idx mnemonic] and add shape
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mapping = {}
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