/** Print a table of metrics for the given data. */
private static void printData(Data data) {
System.out.println("n\tK\tT\tSpdup\tEffic\tEDSF");
System.out.println(
data.n
+ "\t"
+ FMT_0.format(data.K_series.x(0))
+ "\t"
+ FMT_0.format(data.T_series.x(0))
+ "\t"
+ FMT_3.format(data.Speedup_series.x(0))
+ "\t"
+ FMT_3.format(data.Eff_series.x(0)));
for (int i = 1; i < data.K_series.length(); ++i) {
System.out.println(
data.n
+ "\t"
+ FMT_0.format(data.K_series.x(i))
+ "\t"
+ FMT_0.format(data.T_series.x(i))
+ "\t"
+ FMT_3.format(data.Speedup_series.x(i))
+ "\t"
+ FMT_3.format(data.Eff_series.x(i))
+ "\t"
+ FMT_3.format(data.EDSF_series_2.x(i - 1)));
}
}
/** Plot the given data. */
private static void plotData(Data data, String label) {
int len = data.K_series.length();
T_plot.xySeries(new AggregateXYSeries(data.K_series, data.T_series))
.label(label, data.K_series.x(len - 1), data.T_series.x(len - 1));
Speedup_plot.xySeries(new AggregateXYSeries(data.K_series, data.Speedup_series))
.label(label, data.K_series.x(len - 1), data.Speedup_series.x(len - 1));
Eff_plot.xySeries(new AggregateXYSeries(data.K_series, data.Eff_series))
.label(label, data.K_series.x(len - 1), data.Eff_series.x(len - 1));
EDSF_plot.xySeries(new AggregateXYSeries(data.K_series_2, data.EDSF_series_2))
.label(label, data.K_series_2.x(len - 2), data.EDSF_series_2.x(len - 2));
}
/** Parse the given line of input. */
private static void parseLine(String line, int linenum) {
Scanner scanner = new Scanner(line);
if (scanner.hasNextInt()) {
// A running time data line. Parse contents.
int n = scanner.nextInt();
if (!scanner.hasNextInt()) error("K invalid", linenum);
int K = scanner.nextInt();
if (K < 0) error("K < 0", linenum);
if (K == 0) return; // Ignore T_seq
K_max = Math.max(K_max, K);
double T_min = Double.POSITIVE_INFINITY;
double T_max = Double.NEGATIVE_INFINITY;
while (scanner.hasNextLong()) {
double T = (double) scanner.nextLong();
if (T <= 0.0) error("T invalid", linenum);
T_min = Math.min(T_min, T);
T_max = Math.max(T_max, T);
}
if (T_min == Double.POSITIVE_INFINITY) {
error("T values missing", linenum);
}
// Record data.
Data data = getData(n);
if (K == 0) {
data.T_seq = T_min;
data.T_max_seq = T_max;
data.Dev_seq = (T_max - T_min) / T_min;
} else if (K == 1) {
double Speedup = data.T_seq == 0.0 ? 1.0 : data.T_seq / T_min;
double Eff = Speedup;
double Dev = (T_max - T_min) / T_min;
data.T_par_1 = T_min;
data.K_series.add(K);
data.T_series.add(T_min);
data.T_max_series.add(T_max);
data.Speedup_series.add(Speedup);
data.Eff_series.add(Eff);
data.Dev_series.add(Dev);
} else {
double Speedup = data.T_seq == 0.0 ? data.T_par_1 / T_min : data.T_seq / T_min;
double Eff = Speedup / K;
double Dev = (T_max - T_min) / T_min;
double EDSF = (K * T_min - data.T_par_1) / data.T_par_1 / (K - 1);
data.K_series.add(K);
data.T_series.add(T_min);
data.T_max_series.add(T_max);
data.Speedup_series.add(Speedup);
data.Eff_series.add(Eff);
data.Dev_series.add(Dev);
data.K_series_2.add(K);
data.EDSF_series_2.add(EDSF);
}
} else {
// A problem size specification line or plot specification line.
String keyword = scanner.next();
if (keyword.equals("n")) {
// A problem size specification line. Parse contents.
if (!scanner.hasNextInt()) error("Missing n value", linenum);
int n = scanner.nextInt();
if (!scanner.hasNextDouble()) error("Missing N value", linenum);
double N = scanner.nextDouble();
String labelText = scanner.findInLine(QUOTED_STRING_PATTERN);
if (labelText == null) error("Missing quoted label text", linenum);
labelText = labelText.substring(1, labelText.length() - 1);
// Record contents.
Data data = getData(n);
data.N = N;
data.labelText = labelText;
} else if (keyword.equals("time")) {
parsePlotSpecification(T_plot, scanner, linenum);
} else if (keyword.equals("speedup")) {
parsePlotSpecification(Speedup_plot, scanner, linenum);
} else if (keyword.equals("eff")) {
parsePlotSpecification(Eff_plot, scanner, linenum);
} else if (keyword.equals("edsf")) {
parsePlotSpecification(EDSF_plot, scanner, linenum);
} else {
error("Unknown command", linenum);
}
}
}