Remove involation level setup

It's detrimental to performance as per the documentation [1].

[1] https://github.com/openjdk/jmh/blob/99e9c19c80a0133c28f6532ef2b5776d5b8bd023/jmh-core/src/main/java/org/openjdk/jmh/annotations/Level.java#L50

Author: luhenry

benchmarks/src/main/java/dev/ludovic/netlib/benchmarks/blas/l1/DaxpyBenchmark.java

@@ -47,14 +47,9 @@ public void setup() {
         y = randomDoubleArray(n);
     }
 
-    @Setup(Level.Invocation)
-    public void setupIteration() {
-        yclone = y.clone();
-    }
-
     @Benchmark
     public void blas(Blackhole bh) {
-        blas.daxpy(n, alpha, x, 1, yclone, 1);
+        blas.daxpy(n, alpha, x, 1, yclone = y.clone(), 1);
         bh.consume(yclone);
     }
 }

benchmarks/src/main/java/dev/ludovic/netlib/benchmarks/blas/l1/DrotBenchmark.java

@@ -49,15 +49,9 @@ public void setup() {
         s = randomDouble();
     }
 
-    @Setup(Level.Invocation)
-    public void setupIteration() {
-        xclone = x.clone();
-        yclone = y.clone();
-    }
-
     @Benchmark
     public void blas(Blackhole bh) {
-        blas.drot(n, xclone, 1, yclone, 1, c, s);
+        blas.drot(n, xclone = x.clone(), 1, yclone = y.clone(), 1, c, s);
         bh.consume(xclone);
         bh.consume(yclone);
     }

benchmarks/src/main/java/dev/ludovic/netlib/benchmarks/blas/l1/DrotgBenchmark.java

@@ -33,6 +33,8 @@
 import org.netlib.util.doubleW;
 
 @State(Scope.Thread)
+@Warmup(iterations = 3)
+@Measurement(iterations = 3)
 public class DrotgBenchmark extends L1Benchmark {
 
     public doubleW sa, saclone;
@@ -48,17 +50,9 @@ public void setup() {
         s = new doubleW(randomDouble());
     }
 
-    @Setup(Level.Invocation)
-    public void setupIteration() {
-        saclone = new doubleW(sa.val);
-        sbclone = new doubleW(sb.val);
-        cclone = new doubleW(c.val);
-        sclone = new doubleW(s.val);
-    }
-
     @Benchmark
     public void blas(Blackhole bh) {
-        blas.drotg(saclone, sbclone, cclone, sclone);
+        blas.drotg(saclone = new doubleW(sa.val), sbclone = new doubleW(sb.val), cclone = new doubleW(c.val), sclone = new doubleW(s.val));
         bh.consume(saclone);
         bh.consume(sbclone);
         bh.consume(cclone);

benchmarks/src/main/java/dev/ludovic/netlib/benchmarks/blas/l1/DscalBenchmark.java

@@ -45,14 +45,9 @@ public void setup() {
         x = randomDoubleArray(n);
     }
 
-    @Setup(Level.Invocation)
-    public void setupIteration() {
-        xclone = x.clone();
-    }
-
     @Benchmark
     public void blas(Blackhole bh) {
-        blas.dscal(n, alpha, xclone, 1);
+        blas.dscal(n, alpha, xclone = x.clone(), 1);
         bh.consume(xclone);
     }
 }

benchmarks/src/main/java/dev/ludovic/netlib/benchmarks/blas/l1/DswapBenchmark.java

@@ -45,15 +45,9 @@ public void setup() {
         y = randomDoubleArray(n);
     }
 
-    @Setup(Level.Invocation)
-    public void setupIteration() {
-        xclone = x.clone();
-        yclone = y.clone();
-    }
-
     @Benchmark
     public void blas(Blackhole bh) {
-        blas.dswap(n, xclone, 1, yclone, 1);
+        blas.dswap(n, xclone = x.clone(), 1, yclone = y.clone(), 1);
         bh.consume(xclone);
         bh.consume(yclone);
     }

benchmarks/src/main/java/dev/ludovic/netlib/benchmarks/blas/l1/SaxpyBenchmark.java

@@ -47,14 +47,9 @@ public void setup() {
         y = randomFloatArray(n);
     }
 
-    @Setup(Level.Invocation)
-    public void setupIteration() {
-        yclone = y.clone();
-    }
-
     @Benchmark
     public void blas(Blackhole bh) {
-        blas.saxpy(n, alpha, x, 1, yclone, 1);
+        blas.saxpy(n, alpha, x, 1, yclone = y.clone(), 1);
         bh.consume(yclone);
     }
 }

benchmarks/src/main/java/dev/ludovic/netlib/benchmarks/blas/l1/SrotBenchmark.java

@@ -49,15 +49,9 @@ public void setup() {
         s = randomFloat();
     }
 
-    @Setup(Level.Invocation)
-    public void setupIteration() {
-        xclone = x.clone();
-        yclone = y.clone();
-    }
-
     @Benchmark
     public void blas(Blackhole bh) {
-        blas.srot(n, xclone, 1, yclone, 1, c, s);
+        blas.srot(n, xclone = x.clone(), 1, yclone = y.clone(), 1, c, s);
         bh.consume(xclone);
         bh.consume(yclone);
     }

benchmarks/src/main/java/dev/ludovic/netlib/benchmarks/blas/l1/SrotgBenchmark.java

@@ -33,6 +33,8 @@
 import org.netlib.util.floatW;
 
 @State(Scope.Thread)
+@Warmup(iterations = 3)
+@Measurement(iterations = 3)
 public class SrotgBenchmark extends L1Benchmark {
 
     public floatW sa, saclone;
@@ -48,17 +50,9 @@ public void setup() {
         s = new floatW(randomFloat());
     }
 
-    @Setup(Level.Invocation)
-    public void setupIteration() {
-        saclone = new floatW(sa.val);
-        sbclone = new floatW(sb.val);
-        cclone = new floatW(c.val);
-        sclone = new floatW(s.val);
-    }
-
     @Benchmark
     public void blas(Blackhole bh) {
-        blas.srotg(saclone, sbclone, cclone, sclone);
+        blas.srotg(saclone = new floatW(sa.val), sbclone = new floatW(sb.val), cclone = new floatW(c.val), sclone = new floatW(s.val));
         bh.consume(saclone);
         bh.consume(sbclone);
         bh.consume(cclone);

benchmarks/src/main/java/dev/ludovic/netlib/benchmarks/blas/l1/SscalBenchmark.java

@@ -45,14 +45,9 @@ public void setup() {
         x = randomFloatArray(n);
     }
 
-    @Setup(Level.Invocation)
-    public void setupIteration() {
-        xclone = x.clone();
-    }
-
     @Benchmark
     public void blas(Blackhole bh) {
-        blas.sscal(n, alpha, xclone, 1);
+        blas.sscal(n, alpha, xclone = x.clone(), 1);
         bh.consume(xclone);
     }
 }

benchmarks/src/main/java/dev/ludovic/netlib/benchmarks/blas/l1/SswapBenchmark.java

@@ -45,15 +45,9 @@ public void setup() {
         y = randomFloatArray(n);
     }
 
-    @Setup(Level.Invocation)
-    public void setupIteration() {
-        xclone = x.clone();
-        yclone = y.clone();
-    }
-
     @Benchmark
     public void blas(Blackhole bh) {
-        blas.sswap(n, xclone, 1, yclone, 1);
+        blas.sswap(n, xclone = x.clone(), 1, yclone = y.clone(), 1);
         bh.consume(xclone);
         bh.consume(yclone);
     }