diff options
Diffstat (limited to 'dma')
| -rw-r--r-- | dma/.gitignore | 4 | ||||
| -rw-r--r-- | dma/Makefile | 38 | ||||
| -rwxr-xr-x | dma/analyze_bw.py | 345 | ||||
| -rwxr-xr-x | dma/analyze_time.py | 332 | ||||
| -rw-r--r-- | dma/bw_VANILLA.csv | 1348 | ||||
| -rw-r--r-- | dma/bw_all.CSV | 4 | ||||
| -rwxr-xr-x | dma/combine.py | 169 | ||||
| -rwxr-xr-x | dma/doca_dma_host_recv | bin | 0 -> 30544 bytes | |||
| -rw-r--r-- | dma/host_recv.c | 251 | ||||
| -rwxr-xr-x | dma/run.sh | 219 | ||||
| -rwxr-xr-x | dma/sum.sh | 22 | ||||
| -rw-r--r-- | dma/times_VANILLA.csv | 1348 | ||||
| -rw-r--r-- | dma/times_all.CSV | 1348 |
13 files changed, 5428 insertions, 0 deletions
diff --git a/dma/.gitignore b/dma/.gitignore new file mode 100644 index 0000000..5d94054 --- /dev/null +++ b/dma/.gitignore @@ -0,0 +1,4 @@ +bins/ +logs/ +summary/ +*.png diff --git a/dma/Makefile b/dma/Makefile new file mode 100644 index 0000000..7400791 --- /dev/null +++ b/dma/Makefile @@ -0,0 +1,38 @@ +CC ?= gcc + +TARGET := doca_dma_host_recv +SRCS := host_recv.c + +CFLAGS += -O2 -g -Wall -Wextra -std=gnu11 +CFLAGS += -Wno-deprecated-declarations +CFLAGS += -DALLOW_EXPERIMENTAL_API + +# Prefer pkg-config from the upgraded DOCA installation. +PKGCONFIG_PKGS := doca-common doca-dma + +PKG_CFLAGS := $(shell pkg-config --cflags $(PKGCONFIG_PKGS) 2>/dev/null) +PKG_LIBS := $(shell pkg-config --libs $(PKGCONFIG_PKGS) 2>/dev/null) + +# Fallback for common DOCA 2.9 host install paths. +ifeq ($(strip $(PKG_CFLAGS)),) +CFLAGS += -I/opt/mellanox/doca/include +else +CFLAGS += $(PKG_CFLAGS) +endif + +ifeq ($(strip $(PKG_LIBS)),) +LDFLAGS += -L/opt/mellanox/doca/lib/x86_64-linux-gnu +LDLIBS += -ldoca_dma -ldoca_common +else +LDLIBS += $(PKG_LIBS) +endif + +LDLIBS += -lpthread -lrt + +all: $(TARGET) + +$(TARGET): $(SRCS) + $(CC) $(CFLAGS) $^ -o $@ $(LDFLAGS) $(LDLIBS) + +clean: + rm -f $(TARGET) descriptor.bin buffer.json diff --git a/dma/analyze_bw.py b/dma/analyze_bw.py new file mode 100755 index 0000000..e4fab84 --- /dev/null +++ b/dma/analyze_bw.py @@ -0,0 +1,345 @@ +#!/usr/bin/env python3 + +import argparse +import csv +import sys +from collections import defaultdict +from pathlib import Path + +import matplotlib.pyplot as plt +import numpy as np + + +KIBPS_TO_UNIT = { + "KiBps": 1.0, + "MiBps": 1.0 / 1024.0, + "GiBps": 1.0 / (1024.0 * 1024.0), +} + + +UNIT_DISPLAY = { + "KiBps": "KiB/s", + "MiBps": "MiB/s", + "GiBps": "GiB/s", +} + + +def format_bytes(n) -> str: + """ + Format size using the largest readable unit. + + Examples: + 246132K -> 246M + 2097148K -> 2.0G + + Notes: + - CSV normally gives integer bytes. + - This also accepts strings like "246132K" if needed. + - M is shown as rounded whole MB. + - G/T are shown with one decimal place. + """ + if isinstance(n, str): + s = n.strip() + suffix = s[-1].upper() + + if suffix in {"K", "M", "G", "T"}: + value = float(s[:-1]) + # Interpret suffix input as decimal-style units. + scale = { + "K": 1_000, + "M": 1_000_000, + "G": 1_000_000_000, + "T": 1_000_000_000_000, + }[suffix] + n = int(value * scale) + else: + n = int(s) + + n = int(n) + + # Use G/T when the value is large enough. + if n >= 1024 ** 4: + return f"{n / (1024 ** 4):.2f}T" + + if n >= 1024 ** 3: + return f"{n / (1024 ** 3):.2f}G" + + if n >= 1_000_000: + return f"{round(n / 1_000_000)}M" + + if n >= 1_000: + return f"{round(n / 1_000)}K" + + return f"{n}B" + +def experiment_label(path: str) -> str: + name = Path(path).name + + if name.startswith("bw_") and name.endswith(".csv"): + return name[len("bw_") : -len(".csv")] + + if name.startswith("bandwidth_") and name.endswith(".csv"): + return name[len("bandwidth_") : -len(".csv")] + + return Path(path).stem + + +def percentile(values, p: float) -> float: + return float(np.percentile(np.array(values, dtype=float), p)) + + +def read_bw_csv(path: str, unit: str): + grouped = defaultdict(list) + + with open(path, newline="") as f: + reader = csv.DictReader(f) + + if reader.fieldnames is None: + raise ValueError(f"{path}: empty CSV or missing header") + + fieldnames = [name.strip() for name in reader.fieldnames] + if fieldnames != ["bytes", "bw_KiBps"]: + raise ValueError( + f"{path}: expected header 'bytes,bw_KiBps', got: {','.join(fieldnames)}" + ) + + for line_no, row in enumerate(reader, start=2): + try: + nbytes = int(row["bytes"].strip()) + bw_kibps = float(row["bw_KiBps"].strip()) + except Exception as e: + raise ValueError(f"{path}: invalid row at line {line_no}: {row} ({e})") + + grouped[nbytes].append(bw_kibps * KIBPS_TO_UNIT[unit]) + + return grouped + + +def main() -> int: + parser = argparse.ArgumentParser( + description="Create grouped bandwidth bar graph from bw_*.csv files." + ) + parser.add_argument( + "inputs", + nargs="+", + help="Input CSV files with header: bytes,bw_KiBps. Recommended naming: bw_<label>.csv", + ) + parser.add_argument( + "--unit", + default="GiBps", + choices=sorted(KIBPS_TO_UNIT.keys()), + help="Output bandwidth unit. Input is always bw_KiBps. Default: GiBps", + ) + parser.add_argument( + "--out", + default="bandwidth_bar.png", + help="Output bar graph filename. Default: bandwidth_bar.png", + ) + parser.add_argument( + "--no-errorbar", + action="store_true", + help="Disable standard-deviation error bars.", + ) + parser.add_argument( + "--legend-outside", + action="store_true", + help="Place legend outside the plot.", + ) + + args = parser.parse_args() + + output_unit = UNIT_DISPLAY[args.unit] + all_data = [] + + for path in args.inputs: + try: + grouped = read_bw_csv(path, args.unit) + except ValueError as e: + print(f"ERROR: {e}", file=sys.stderr) + return 1 + + if not grouped: + print(f"ERROR: {path}: no data rows", file=sys.stderr) + return 1 + + all_data.append( + { + "path": path, + "label": experiment_label(path), + "grouped": grouped, + } + ) + + print("Bandwidth summary") + print("=================") + print(f"input_files: {len(all_data)}") + print(f"input_unit: KiB/s") + print(f"output_unit: {output_unit}") + print() + + print( + f"{'file_label':>18} {'bytes':>14} {'size':>8} {'n':>8} " + f"{'min':>12} {'avg':>12} {'std':>12} " + f"{'p1':>12} {'p5':>12} {'p10':>12} {'p50':>12} " + f"{'p90':>12} {'p99':>12} {'max':>12}" + ) + + # stats[label][nbytes] = dict(...) + stats = defaultdict(dict) + all_sizes = set() + + for item in all_data: + file_label = item["label"] + grouped = item["grouped"] + + for nbytes in sorted(grouped.keys()): + bws = np.array(grouped[nbytes], dtype=float) + all_sizes.add(nbytes) + + min_v = float(np.min(bws)) + avg = float(np.mean(bws)) + std = float(np.std(bws)) + p1 = percentile(bws, 1) + p5 = percentile(bws, 5) + p10 = percentile(bws, 10) + p50 = percentile(bws, 50) + p90 = percentile(bws, 90) + p99 = percentile(bws, 99) + max_v = float(np.max(bws)) + + size_label = format_bytes(nbytes) + + print( + f"{file_label:>18} {nbytes:14d} {size_label:>8} {len(bws):8d} " + f"{min_v:12.6f} {avg:12.6f} {std:12.6f} " + f"{p1:12.6f} {p5:12.6f} {p10:12.6f} {p50:12.6f} " + f"{p90:12.6f} {p99:12.6f} {max_v:12.6f}" + ) + + stats[file_label][nbytes] = { + "n": len(bws), + "avg": avg, + "std": std, + "min": min_v, + "max": max_v, + "p50": p50, + "p90": p90, + "p99": p99, + } + + sizes = sorted(all_sizes) + size_labels = [format_bytes(s) for s in sizes] + experiment_labels = [item["label"] for item in all_data] + + x = np.arange(len(sizes)) + num_experiments = len(experiment_labels) + + # Bar width shrinks as the number of experiments grows. + total_group_width = 0.82 + bar_width = total_group_width / max(1, num_experiments) + + fig_width = max(9, len(sizes) * 1.4) + fig, ax = plt.subplots(figsize=(fig_width, 6)) + + for idx, label in enumerate(experiment_labels): + offsets = x - total_group_width / 2 + bar_width / 2 + idx * bar_width + + means = [] + errors = [] + + for nbytes in sizes: + if nbytes in stats[label]: + means.append(stats[label][nbytes]["avg"]) + errors.append(stats[label][nbytes]["std"]) + else: + means.append(np.nan) + errors.append(0.0) + + if args.no_errorbar: + ax.bar( + offsets, + means, + width=bar_width, + label=label, + ) + else: + ax.bar( + offsets, + means, + width=bar_width, + yerr=errors, + capsize=3, + label=label, + ) + + # Automatically cut off the bottom of the y-axis to make bar differences visible. + # This intentionally truncates the y-axis. + all_bar_values = [] + all_error_values = [] + + for label in experiment_labels: + for nbytes in sizes: + if nbytes in stats[label]: + all_bar_values.append(stats[label][nbytes]["avg"]) + all_error_values.append(stats[label][nbytes]["std"]) + + if all_bar_values: + values = np.array(all_bar_values, dtype=float) + errors = np.array(all_error_values, dtype=float) + + if args.no_errorbar: + low = float(np.nanmin(values)) + high = float(np.nanmax(values)) + else: + low = float(np.nanmin(values - errors)) + high = float(np.nanmax(values + errors)) + + span = max(high - low, 1e-9) + + # Leave 10% padding below the lowest visible bar/error. + auto_bottom = low - 0.10 * span + + # Avoid negative y-axis for bandwidth. + auto_bottom = max(0.0, auto_bottom) + + ax.set_ylim(bottom=auto_bottom) + + ax.text( + 0.01, + 0.98, + "Y-axis truncated", + transform=ax.transAxes, + va="top", + fontsize=9, + ) + + ax.set_xlabel("Transfer size") + ax.set_ylabel(f"Bandwidth ({output_unit})") + ax.set_title("DMA Bandwidth by Transfer Size") + ax.set_xticks(x) + ax.set_xticklabels(size_labels) + ax.grid(axis="y", linestyle="--", alpha=0.6) + + if args.legend_outside: + ax.legend( + title="Experiment", + fontsize=8, + loc="center left", + bbox_to_anchor=(1.02, 0.5), + ) + fig.tight_layout(rect=[0, 0, 0.80, 1]) + else: + ax.legend(title="Experiment", fontsize=8) + fig.tight_layout() + + fig.savefig(args.out, dpi=200) + plt.close(fig) + + print() + print(f"Wrote bar graph: {args.out}") + + return 0 + + +if __name__ == "__main__": + raise SystemExit(main()) diff --git a/dma/analyze_time.py b/dma/analyze_time.py new file mode 100755 index 0000000..8f467e4 --- /dev/null +++ b/dma/analyze_time.py @@ -0,0 +1,332 @@ +#!/usr/bin/env python3 + +import argparse +import csv +import sys +from collections import defaultdict +from pathlib import Path + +import matplotlib.pyplot as plt +import numpy as np + + +USEC_TO_UNIT = { + "sec": 1.0 / 1_000_000.0, + "msec": 1.0 / 1_000.0, + "usec": 1.0, + "nsec": 1_000.0, +} + + +LINESTYLES = ["-", "--", "-.", ":"] +MARKERS = ["o", "s", "^", "D", "v", "P", "X", "*"] + +def format_bytes(n) -> str: + """ + Format size using the largest readable unit. + + Examples: + 246132K -> 246M + 2097148K -> 2.0G + + Notes: + - CSV normally gives integer bytes. + - This also accepts strings like "246132K" if needed. + - M is shown as rounded whole MB. + - G/T are shown with one decimal place. + """ + if isinstance(n, str): + s = n.strip() + suffix = s[-1].upper() + + if suffix in {"K", "M", "G", "T"}: + value = float(s[:-1]) + # Interpret suffix input as decimal-style units. + scale = { + "K": 1_000, + "M": 1_000_000, + "G": 1_000_000_000, + "T": 1_000_000_000_000, + }[suffix] + n = int(value * scale) + else: + n = int(s) + + n = int(n) + + # Use G/T when the value is large enough. + if n >= 1024 ** 4: + return f"{n / (1024 ** 4):.2f}T" + + if n >= 1024 ** 3: + return f"{n / (1024 ** 3):.2f}G" + + if n >= 1_000_000: + return f"{round(n / 1_000_000)}M" + + if n >= 1_000: + return f"{round(n / 1_000)}K" + + return f"{n}B" + +def experiment_label(path: str) -> str: + name = Path(path).name + + if name.startswith("times_") and name.endswith(".csv"): + return name[len("times_") : -len(".csv")] + + return Path(path).stem + + +def percentile(values, p: float) -> float: + return float(np.percentile(np.array(values, dtype=float), p)) + + +def read_times_csv(path: str, unit: str): + grouped = defaultdict(list) + + with open(path, newline="") as f: + reader = csv.DictReader(f) + + if reader.fieldnames is None: + raise ValueError(f"{path}: empty CSV or missing header") + + fieldnames = [name.strip() for name in reader.fieldnames] + if fieldnames != ["bytes", "time_usec"]: + raise ValueError( + f"{path}: expected header 'bytes,time_usec', got: {','.join(fieldnames)}" + ) + + for line_no, row in enumerate(reader, start=2): + try: + nbytes = int(row["bytes"].strip()) + time_usec = float(row["time_usec"].strip()) + except Exception as e: + raise ValueError(f"{path}: invalid row at line {line_no}: {row} ({e})") + + grouped[nbytes].append(time_usec * USEC_TO_UNIT[unit]) + + return grouped + + +def add_legend_and_save(fig, ax, out_path: Path, legend_title: str, legend_outside: bool): + if legend_outside: + ax.legend( + title=legend_title, + fontsize=8, + loc="center left", + bbox_to_anchor=(1.02, 0.5), + ) + fig.tight_layout(rect=[0, 0, 0.78, 1]) + else: + ax.legend(title=legend_title, fontsize=8) + fig.tight_layout() + + fig.savefig(out_path, dpi=200) + plt.close(fig) + + +def plot_size_graph( + nbytes: int, + series, + unit: str, + out_path: Path, + markers_mode: str, + line_markers: bool, + legend_outside: bool, +): + size_label = format_bytes(nbytes) + fig, ax = plt.subplots(figsize=(10, 6)) + + for item in series: + x = item["x"] + y = item["y"] + marker = item["marker"] if line_markers else None + + ax.plot( + x, + y, + linestyle=item["linestyle"], + marker=marker, + markersize=3, + markevery=max(1, len(x) // 25), + linewidth=1.8, + label=f"{item['file_label']} (n={item['n']})", + ) + + if markers_mode == "tail": + ax.scatter([item["p90"]], [0.90], marker="x", s=70, zorder=5) + ax.scatter([item["p99"]], [0.99], marker="*", s=100, zorder=5) + + ax.annotate( + "P90", + xy=(item["p90"], 0.90), + xytext=(5, 5), + textcoords="offset points", + fontsize=8, + ) + ax.annotate( + "P99", + xy=(item["p99"], 0.99), + xytext=(5, 5), + textcoords="offset points", + fontsize=8, + ) + + ax.set_xlabel(f"Latency ({unit})") + ax.set_ylabel("CDF") + ax.set_title(f"DMA Latency CDF - {size_label}") + ax.grid(True) + + add_legend_and_save( + fig, + ax, + out_path, + "Experiment", + legend_outside, + ) + + +def main() -> int: + parser = argparse.ArgumentParser( + description="Create separate latency CDF graphs per byte count from times_*.csv files." + ) + parser.add_argument( + "inputs", + nargs="+", + help="Input CSV files with header: bytes,time_usec. Recommended naming: times_<label>.csv", + ) + parser.add_argument( + "--unit", + default="usec", + choices=sorted(USEC_TO_UNIT.keys()), + help="Output time unit. Input is always time_usec. Default: usec", + ) + parser.add_argument( + "--out", + default="latency_cdf.png", + help="Output base filename. Per-size graphs are generated from this name.", + ) + parser.add_argument( + "--markers", + default="none", + choices=["none", "tail"], + help="Marker mode. 'none' disables percentile markers; 'tail' shows P90 and P99 markers. Default: none", + ) + parser.add_argument( + "--legend-outside", + action="store_true", + help="Place legend outside the plot.", + ) + parser.add_argument( + "--line-markers", + action="store_true", + help="Show point markers on CDF lines. Default: no line markers.", + ) + + args = parser.parse_args() + + all_data = [] + + for path in args.inputs: + try: + grouped = read_times_csv(path, args.unit) + except ValueError as e: + print(f"ERROR: {e}", file=sys.stderr) + return 1 + + if not grouped: + print(f"ERROR: {path}: no data rows", file=sys.stderr) + return 1 + + all_data.append( + { + "path": path, + "label": experiment_label(path), + "grouped": grouped, + } + ) + + print("Latency summary") + print("================") + print(f"input_files: {len(all_data)}") + print(f"input_unit: usec") + print(f"output_unit: {args.unit}") + print() + + print( + f"{'file_label':>18} {'bytes':>14} {'size':>8} {'n':>8} " + f"{'min':>12} {'avg':>12} {'std':>12} " + f"{'p50':>12} {'p90':>12} {'p99':>12} {'max':>12}" + ) + + series_by_size = defaultdict(list) + + for file_idx, item in enumerate(all_data): + file_label = item["label"] + grouped = item["grouped"] + linestyle = LINESTYLES[file_idx % len(LINESTYLES)] + + for size_idx, nbytes in enumerate(sorted(grouped.keys())): + times = np.array(grouped[nbytes], dtype=float) + sorted_times = np.sort(times) + cdf = np.arange(1, len(sorted_times) + 1) / len(sorted_times) + + min_v = float(np.min(times)) + avg = float(np.mean(times)) + std = float(np.std(times)) + p50 = percentile(times, 50) + p90 = percentile(times, 90) + p99 = percentile(times, 99) + max_v = float(np.max(times)) + + size_label = format_bytes(nbytes) + + print( + f"{file_label:>18} {nbytes:14d} {size_label:>8} {len(times):8d} " + f"{min_v:12.6f} {avg:12.6f} {std:12.6f} " + f"{p50:12.6f} {p90:12.6f} {p99:12.6f} {max_v:12.6f}" + ) + + series_by_size[nbytes].append( + { + "file_label": file_label, + "nbytes": nbytes, + "size_label": size_label, + "x": sorted_times, + "y": cdf, + "n": len(times), + "p90": p90, + "p99": p99, + "linestyle": linestyle, + "marker": MARKERS[size_idx % len(MARKERS)], + } + ) + + out_base = Path(args.out) + stem = out_base.stem + suffix = out_base.suffix or ".png" + + print() + + for nbytes in sorted(series_by_size.keys()): + size_label = format_bytes(nbytes) + out_path = out_base.with_name(f"{stem}_{size_label}{suffix}") + + plot_size_graph( + nbytes=nbytes, + series=series_by_size[nbytes], + unit=args.unit, + out_path=out_path, + markers_mode=args.markers, + line_markers=args.line_markers, + legend_outside=args.legend_outside, + ) + + print(f"Wrote CDF graph: {out_path}") + + return 0 + + +if __name__ == "__main__": + raise SystemExit(main()) diff --git a/dma/bw_VANILLA.csv b/dma/bw_VANILLA.csv new file mode 100644 index 0000000..f22505c --- /dev/null +++ b/dma/bw_VANILLA.csv @@ -0,0 +1,1348 @@ +bytes,bw_KiBps +536870912,8257831.042 +536870912,8324090.175 +536870912,8360060.467 +536870912,8314351.529 +536870912,8326655.816 +536870912,8341155.367 +536870912,8368521.941 +536870912,8312152.950 +536870912,8377241.223 +536870912,8304275.491 +536870912,8318322.698 +536870912,8364311.615 +536870912,8356575.042 +536870912,8347991.216 +536870912,8355967.319 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--- /dev/null +++ b/dma/bw_all.CSV @@ -0,0 +1,4 @@ +bytes,size,VANILLA,VANILLA_err,FALCO,FALCO_err,TETRA,TETRA_err,TRACE,TRACE_err
+536870912,512M,8170.113520,32.870435,,,,,,
+1073741824,1G,7971.435763,26.357252,,,,,,
+2147479552,2G,7788.278555,40.186783,,,,,,
diff --git a/dma/combine.py b/dma/combine.py new file mode 100755 index 0000000..7397449 --- /dev/null +++ b/dma/combine.py @@ -0,0 +1,169 @@ +#!/usr/bin/env python3 + +import csv +import glob +import math +from collections import defaultdict +from pathlib import Path + + +LABELS = ["VANILLA", "FALCO", "TETRA", "TRACE"] + + +def label_from_path(path: str, prefix: str) -> str: + stem = Path(path).stem + if stem.startswith(prefix): + stem = stem[len(prefix):] + return stem.upper() + + +def format_size(n: int) -> str: + gib = 1024 ** 3 + mib = 1024 ** 2 + kib = 1024 + + if n >= gib: + v = n / gib + if abs(v - round(v)) < 0.03: + return f"{int(round(v))}G" + return f"{v:.1f}G" + + if n >= mib: + v = n / mib + if abs(v - round(v)) < 0.03: + return f"{int(round(v))}M" + return f"{round(n / 1_000_000)}M" + + if n >= kib: + return f"{round(n / 1000)}K" + + return f"{n}B" + + +def mean(xs): + return sum(xs) / len(xs) + + +def stddev(xs): + m = mean(xs) + return math.sqrt(sum((x - m) ** 2 for x in xs) / len(xs)) + + +def prepare_times(): + groups = defaultdict(list) + + for path in sorted(glob.glob("times_*.csv")): + label = label_from_path(path, "times_") + + if label not in LABELS: + print(f"Skipping unknown latency label: {path}") + continue + + with open(path, newline="") as f: + r = csv.DictReader(f) + if r.fieldnames != ["bytes", "time_usec"]: + raise ValueError(f"{path}: expected bytes,time_usec, got {r.fieldnames}") + + for row in r: + nbytes = int(row["bytes"]) + time_usec = float(row["time_usec"]) + groups[(label, nbytes)].append(time_usec) + + sizes = sorted({nbytes for (_, nbytes) in groups.keys()}) + + fieldnames = ["bytes"] + for label in LABELS: + fieldnames += [f"{label}_time_usec", f"{label}_cdf"] + + with open("times_all.CSV", "w", newline="") as f: + w = csv.DictWriter(f, fieldnames=fieldnames) + w.writeheader() + + for nbytes in sizes: + per_label = {} + max_n = 0 + + for label in LABELS: + values = sorted(groups.get((label, nbytes), [])) + n = len(values) + max_n = max(max_n, n) + + per_label[label] = [ + (v, (i + 1) / n) for i, v in enumerate(values) + ] if n else [] + + for i in range(max_n): + row = {"bytes": nbytes} + + for label in LABELS: + if i < len(per_label[label]): + t, cdf = per_label[label][i] + row[f"{label}_time_usec"] = f"{t / 1000.0:.6f}" + row[f"{label}_cdf"] = f"{cdf:.9f}" + else: + row[f"{label}_time_usec"] = "" + row[f"{label}_cdf"] = "" + + w.writerow(row) + + print("Wrote times_all.CSV") + + +def prepare_bw(): + groups = defaultdict(list) + + for path in sorted(glob.glob("bw_*.csv")): + label = label_from_path(path, "bw_") + + if label not in LABELS: + print(f"Skipping unknown bandwidth label: {path}") + continue + + with open(path, newline="") as f: + r = csv.DictReader(f) + if r.fieldnames != ["bytes", "bw_KiBps"]: + raise ValueError(f"{path}: expected bytes,bw_KiBps, got {r.fieldnames}") + + for row in r: + nbytes = int(row["bytes"]) + bw_mibps = float(row["bw_KiBps"]) / 1024.0 + groups[(label, nbytes)].append(bw_mibps) + + sizes = sorted({nbytes for (_, nbytes) in groups.keys()}) + + fieldnames = ["bytes", "size"] + for label in LABELS: + fieldnames += [label, f"{label}_err"] + + with open("bw_all.CSV", "w", newline="") as f: + w = csv.DictWriter(f, fieldnames=fieldnames) + w.writeheader() + + for nbytes in sizes: + row = { + "bytes": nbytes, + "size": format_size(nbytes), + } + + for label in LABELS: + values = groups.get((label, nbytes), []) + + if values: + row[label] = f"{mean(values):.6f}" + row[f"{label}_err"] = f"{stddev(values):.6f}" + else: + row[label] = "" + row[f"{label}_err"] = "" + + w.writerow(row) + + print("Wrote bw_all.CSV") + + +def main(): + prepare_times() + prepare_bw() + + +if __name__ == "__main__": + main() diff --git a/dma/doca_dma_host_recv b/dma/doca_dma_host_recv Binary files differnew file mode 100755 index 0000000..b99bc37 --- /dev/null +++ b/dma/doca_dma_host_recv diff --git a/dma/host_recv.c b/dma/host_recv.c new file mode 100644 index 0000000..9fdffab --- /dev/null +++ b/dma/host_recv.c @@ -0,0 +1,251 @@ +#define _GNU_SOURCE + +#include <doca_error.h> +#include <doca_dev.h> +#include <doca_mmap.h> + +#include <errno.h> +#include <getopt.h> +#include <inttypes.h> +#include <stdio.h> +#include <stdlib.h> +#include <string.h> +#include <stdint.h> + +#define META_MAGIC 0x444f4341444d4131ULL /* "DOCADMA1" */ +#define DEFAULT_DESC_PATH "descriptor.bin" +#define DEFAULT_BUF_PATH "buffer.json" + +static void die_errno(const char *what) +{ + fprintf(stderr, "%s: %s\n", what, strerror(errno)); + exit(EXIT_FAILURE); +} + +static void die_doca(const char *what, doca_error_t err) +{ + fprintf(stderr, "%s: DOCA error code %d\n", what, (int)err); + exit(EXIT_FAILURE); +} + +static int write_file_all(const char *path, const void *data, size_t len) +{ + FILE *f = fopen(path, "wb"); + + if (f == NULL) + return -1; + + if (len > 0 && fwrite(data, 1, len, f) != len) { + fclose(f); + return -1; + } + + if (fclose(f) != 0) + return -1; + + return 0; +} + +static int write_remote_buffer_json(const char *path, uintptr_t addr, size_t len) +{ + FILE *f = fopen(path, "w"); + + if (f == NULL) + return -1; + + fprintf(f, + "{\n" + " \"magic\": \"0x%016" PRIx64 "\",\n" + " \"addr\": \"0x%016" PRIxPTR "\",\n" + " \"len\": %" PRIu64 "\n" + "}\n", + (uint64_t)META_MAGIC, + addr, + (uint64_t)len); + + if (fclose(f) != 0) + return -1; + + return 0; +} + +static doca_error_t open_doca_device_by_pci(const char *pci_addr, + struct doca_dev **dev) +{ + struct doca_devinfo **dev_list = NULL; + uint32_t nb_devs = 0; + doca_error_t result; + uint32_t i; + + result = doca_devinfo_create_list(&dev_list, &nb_devs); + if (result != DOCA_SUCCESS) + return result; + + for (i = 0; i < nb_devs; i++) { + uint8_t is_equal = 0; + + if (pci_addr == NULL) { + result = doca_dev_open(dev_list[i], dev); + doca_devinfo_destroy_list(dev_list); + return result; + } + + result = doca_devinfo_is_equal_pci_addr(dev_list[i], + pci_addr, + &is_equal); + if (result == DOCA_SUCCESS && is_equal) { + result = doca_dev_open(dev_list[i], dev); + doca_devinfo_destroy_list(dev_list); + return result; + } + } + + doca_devinfo_destroy_list(dev_list); + return DOCA_ERROR_NOT_FOUND; +} + +static doca_error_t create_started_host_mmap(struct doca_dev *dev, + void *addr, + size_t len, + struct doca_mmap **mmap) +{ + doca_error_t result; + + /* + * DOCA 2.x commonly uses: + * doca_mmap_create(const union doca_data *user_data, struct doca_mmap **mmap) + */ + result = doca_mmap_create(mmap); + if (result != DOCA_SUCCESS) + return result; + + result = doca_mmap_set_memrange(*mmap, addr, len); + if (result != DOCA_SUCCESS) + goto destroy; + + result = doca_mmap_set_permissions(*mmap, DOCA_ACCESS_FLAG_PCI_READ_WRITE); + if (result != DOCA_SUCCESS) + goto destroy; + + result = doca_mmap_add_dev(*mmap, dev); + if (result != DOCA_SUCCESS) + goto destroy; + + result = doca_mmap_start(*mmap); + if (result != DOCA_SUCCESS) + goto destroy; + + return DOCA_SUCCESS; + +destroy: + doca_mmap_destroy(*mmap); + *mmap = NULL; + return result; +} + +static void usage(const char *prog) +{ + fprintf(stderr, + "Usage: %s -p <host-pci-bdf> -s <bytes> -o <output-file> " + "[-d descriptor.bin] [-b buffer.json]\n\n" + "Example:\n" + " sudo %s -p 0000:3b:00.0 -s 268435456 -o received_256M.bin\n", + prog, prog); +} + +int main(int argc, char **argv) +{ + const char *pci = NULL; + const char *out_path = NULL; + const char *desc_path = DEFAULT_DESC_PATH; + const char *buf_path = DEFAULT_BUF_PATH; + size_t size = 0; + + struct doca_dev *dev = NULL; + struct doca_mmap *mmap = NULL; + + void *host_buf = NULL; + const void *export_desc = NULL; + size_t export_desc_len = 0; + + int opt; + doca_error_t result; + + while ((opt = getopt(argc, argv, "p:s:o:d:b:h")) != -1) { + switch (opt) { + case 'p': + pci = optarg; + break; + case 's': + size = strtoull(optarg, NULL, 0); + break; + case 'o': + out_path = optarg; + break; + case 'd': + desc_path = optarg; + break; + case 'b': + buf_path = optarg; + break; + case 'h': + default: + usage(argv[0]); + return EXIT_FAILURE; + } + } + + if (pci == NULL || out_path == NULL || size == 0) { + usage(argv[0]); + return EXIT_FAILURE; + } + + result = open_doca_device_by_pci(pci, &dev); + if (result != DOCA_SUCCESS) + die_doca("open_doca_device_by_pci", result); + + if (posix_memalign(&host_buf, 4096, size) != 0) + die_errno("posix_memalign"); + + memset(host_buf, 0, size); + + result = create_started_host_mmap(dev, host_buf, size, &mmap); + if (result != DOCA_SUCCESS) + die_doca("create_started_host_mmap", result); + + result = doca_mmap_export_pci(mmap, dev, &export_desc, &export_desc_len); + if (result != DOCA_SUCCESS) + die_doca("doca_mmap_export_pci", result); + + if (export_desc == NULL || export_desc_len == 0) { + fprintf(stderr, "doca_mmap_export_pci returned empty descriptor\n"); + exit(EXIT_FAILURE); + } + + if (write_file_all(desc_path, export_desc, export_desc_len) != 0) + die_errno("write descriptor"); + + if (write_remote_buffer_json(buf_path, (uintptr_t)host_buf, size) != 0) + die_errno("write buffer metadata"); + + printf("Host receive buffer exported.\n"); + printf(" descriptor: %s (%zu bytes)\n", desc_path, export_desc_len); + printf(" buffer: %s\n", buf_path); + printf(" addr: 0x%016" PRIxPTR "\n", (uintptr_t)host_buf); + printf(" len: %zu\n", size); + printf("\nCopy %s and %s to the DPU, run dpu sender, then press ENTER here.\n", + desc_path, buf_path); + + (void)getchar(); + + if (write_file_all(out_path, host_buf, size) != 0) + die_errno("write output file"); + + printf("Wrote host buffer to %s\n", out_path); + + doca_mmap_destroy(mmap); + doca_dev_close(dev); + free(host_buf); + + return EXIT_SUCCESS; +} diff --git a/dma/run.sh b/dma/run.sh new file mode 100755 index 0000000..f9daba2 --- /dev/null +++ b/dma/run.sh @@ -0,0 +1,219 @@ +#!/usr/bin/env bash + +set -euo pipefail + +parse_size() { + local input="$1" + local number suffix + + if [[ "$input" =~ ^([0-9]+)([KkMmGg]?)$ ]]; then + number="${BASH_REMATCH[1]}" + suffix="${BASH_REMATCH[2]}" + + case "$suffix" in + K|k) echo $((number * 1024)) ;; + M|m) echo $((number * 1024 * 1024)) ;; + G|g) echo $((number * 1024 * 1024 * 1024)) ;; + "") echo "$number" ;; + *) return 1 ;; + esac + else + echo "Invalid size: $input" >&2 + return 1 + fi +} + +cleanup() { + rm -f buffer.json descriptor.bin host_recv.stdin +} +trap cleanup EXIT INT TERM + +if [[ $# -lt 4 || $# -gt 5 ]]; then + echo "Usage: $0 <tag> <runs> <bytes|size> <remote-input-file> [remote-log-prefix-base]" + echo "Example: $0 VANILLA 10 256M bins/256M.bin" + exit 1 +fi + +TAG="$1" +RUNS="$2" +DEBUG_BYTES="$(parse_size "$3")" +REMOTE_INPUT="$4" +REMOTE_PREFIX_BASE="${TAG}_$3" + +SSH_KEY="$HOME/.ssh/id_ed25519" +REMOTE_HOST="ubuntu@143.248.53.46" +REMOTE_DIR="/home/ubuntu/siho-benchmark/dma" + +DEBUG_OUT="./test.bin" + +# Host-side PCI BDF toward DPU. +PCI_TO_DPU="0000:5e:00.0" + +# DPU-side PCI BDF. +DPU_PCI="03:00.0" + +# DPU-side wrapper script. +DPU_SCRIPT="./run.sh" + +TIMES_CSV="times_${TAG}.csv" +BW_CSV="bw_${TAG}.csv" + +SSH_OPTS=( +-i "$SSH_KEY" +-n +-o BatchMode=yes +-o StrictHostKeyChecking=accept-new +) + +SCP_OPTS=( +-i "$SSH_KEY" +-o BatchMode=yes +-o StrictHostKeyChecking=accept-new +) + +echo "=====" +echo "SIHO'S DMA BENCHMARKING" +echo "SSH KEY LOCATION: $SSH_KEY" +echo "REMOTE HOST: $REMOTE_HOST" +echo "REMOTE DIR: $REMOTE_DIR" +echo "TAG: $TAG" +echo "HOST PCIE ADDRESS TO DPU: $PCI_TO_DPU" +echo "DPU PCIE ADDRESS: $DPU_PCI" +echo "RUNS: $RUNS" +echo "BYTES: $DEBUG_BYTES" +echo "REMOTE INPUT: $REMOTE_INPUT" +echo "=====" +echo "PROCEED (y/N)?" + +read -r proceed + +if [[ "${proceed:-}" != "y" ]]; then + echo "TERMINATING..." + exit 0 +fi + +sudo -v + +for i in $(seq 1 "$RUNS"); do + echo "===== RUN $i/$RUNS =====" + + rm -f descriptor.bin buffer.json host_recv.stdin "$DEBUG_OUT" + mkfifo host_recv.stdin + + # Open FIFO read-write so the receiver does not get accidental EOF. + exec 3<>host_recv.stdin + + sudo -n ./doca_dma_host_recv \ + -p "$PCI_TO_DPU" \ + -o "$DEBUG_OUT" \ + -s "$DEBUG_BYTES" \ + < host_recv.stdin & + host_pid=$! + + ok=0 + for _ in $(seq 1 100); do + if [[ -s descriptor.bin && -s buffer.json ]]; then + ok=1 + break + fi + + sleep 0.1 + done + + if [[ "$ok" != "1" ]]; then + echo "ERROR: descriptor.bin or buffer.json was not generated within timeout" + echo "host_pid=$host_pid" + + if kill -0 "$host_pid" 2>/dev/null; then + echo "host receiver still appears to be running" + else + echo "host receiver process is not visible anymore" + fi + + kill "$host_pid" 2>/dev/null || true + exec 3>&- 2>/dev/null || true + rm -f host_recv.stdin + exit 1 + fi + + echo "[host] Copying descriptor.bin and buffer.json to DPU..." + if ! scp "${SCP_OPTS[@]}" descriptor.bin buffer.json "$REMOTE_HOST:$REMOTE_DIR/"; then + echo "ERROR: scp failed" + kill "$host_pid" 2>/dev/null || true + exec 3>&- + exit 1 + fi + + echo "[dpu] Running DMA sender through wrapper..." + if ! dpu_out="$( + ssh "${SSH_OPTS[@]}" "$REMOTE_HOST" \ + "cd '$REMOTE_DIR' && sudo -n '$DPU_SCRIPT' '$REMOTE_PREFIX_BASE' '$DPU_PCI' '$REMOTE_INPUT'" \ + 2>&1 + )"; then + echo "ERROR: DPU sender failed" + echo "$dpu_out" + kill "$host_pid" 2>/dev/null || true + exec 3>&- + exit 1 + fi + + bytes="$(awk '/bytes:/ {print $2}' <<< "$dpu_out" | tail -n1)" + time_val="$(awk '/time:/ {print $2}' <<< "$dpu_out" | tail -n1)" + time_unit="$(awk '/time:/ {print $3}' <<< "$dpu_out" | tail -n1)" + bw_val="$(awk '/BW:/ {print $2}' <<< "$dpu_out" | tail -n1)" + bw_unit="$(awk '/BW:/ {print $3}' <<< "$dpu_out" | tail -n1)" + + if [[ -z "${bytes:-}" || -z "${time_val:-}" || -z "${bw_val:-}" ]]; then + echo "ERROR: failed to parse DPU output" + echo "$dpu_out" + kill "$host_pid" 2>/dev/null || true + exec 3>&- + exit 1 + fi + + # Convert time to usec. + case "$time_unit" in + usec) time_usec="$time_val" ;; + msec) time_usec="$(awk -v x="$time_val" 'BEGIN { printf "%.6f", x * 1000.0 }')" ;; + sec) time_usec="$(awk -v x="$time_val" 'BEGIN { printf "%.6f", x * 1000000.0 }')" ;; + nsec) time_usec="$(awk -v x="$time_val" 'BEGIN { printf "%.6f", x / 1000.0 }')" ;; + *) time_usec="$time_val" ;; + esac + + # Convert bandwidth to KiB/s. + case "$bw_unit" in + KiB/s|KiBps) bw_kibps="$bw_val" ;; + MiB/s|MiBps) bw_kibps="$(awk -v x="$bw_val" 'BEGIN { printf "%.6f", x * 1024.0 }')" ;; + GiB/s|GiBps) bw_kibps="$(awk -v x="$bw_val" 'BEGIN { printf "%.6f", x * 1024.0 * 1024.0 }')" ;; + B/s|Bps) bw_kibps="$(awk -v x="$bw_val" 'BEGIN { printf "%.6f", x / 1024.0 }')" ;; + *) bw_kibps="$bw_val" ;; + esac + + if [ ! -f "$TIMES_CSV" ]; then + echo "bytes,time_usec" > "$TIMES_CSV" + fi + + if [ ! -f "$BW_CSV" ]; then + echo "bytes,bw_KiBps" > "$BW_CSV" + fi + + echo "$bytes,$time_usec" >> "$TIMES_CSV" + echo "$bytes,$bw_kibps" >> "$BW_CSV" + + echo "[host] Releasing host receiver..." + printf '\n' >&3 + exec 3>&- + + if ! wait "$host_pid"; then + echo "ERROR: host receiver failed" + exit 1 + fi + + rm -f host_recv.stdin + + echo "[result] bytes=$bytes time_usec=$time_usec bw_KiBps=$bw_kibps" + echo "===== RUN $i/$RUNS DONE =====" +done + +echo "Wrote: $TIMES_CSV" +echo "Wrote: $BW_CSV" diff --git a/dma/sum.sh b/dma/sum.sh new file mode 100755 index 0000000..feae470 --- /dev/null +++ b/dma/sum.sh @@ -0,0 +1,22 @@ +#!/bin/bash + +set -euo pipefail + + + #times_FALCO.csv \ + #times_TETRA.csv \ + #times_TRACE.csv \ + #bw_FALCO.csv \ + #bw_TETRA.csv \ + #bw_TRACE.csv \ + +./analyze_time.py \ + --unit msec \ + --out time \ + times_VANILLA.csv \ + | tee ./summary/times.txt +./analyze_bw.py \ + --unit MiBps \ + --out bw \ + bw_VANILLA.csv \ + | tee ./summary/bw.txt diff --git a/dma/times_VANILLA.csv b/dma/times_VANILLA.csv new file mode 100644 index 0000000..4269925 --- /dev/null +++ b/dma/times_VANILLA.csv @@ -0,0 +1,1348 @@ +bytes,time_usec +536870912,63489.795000 +536870912,62984.421000 +536870912,62713.422000 +536870912,63058.195000 +536870912,62965.014000 +536870912,62855.561000 +536870912,62650.012000 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