There seems to be a 3% regression in Scimark on Linux server compiler when going from 1.4.2b15 to 1.4.2b16. This has been verified on Alacrity data located at

/java/alacrity/latest/logs/p/1.4.2+b15+l+i+s/

and

/java/alacrity/latest/logs/p/1.4.2+b16+l+i+s/

You can also visualize this by going to

http://alacrity.sfbay/query/all/nes.jsp?base=7171,7173,7174,7175,7177,7178,7179,7180,7185&build=7603,7607,7609,7549,7550,7551,7610,7611,7612&pval=0.01

Further going into the benchmark, it looks like the subbenchmark FFT has most of the regression.

[benkim@fastlane scimark2]$ /export/perf/b15/bin/java -server -Xmx256m -Xms256m -Xprof jnt.scimark2.commandline -large
Composite Score: 36.58827754413559
FFT (1048576): 14.956609377383636
SOR (1000x1000): 85.69597360701654
Monte Carlo : 11.869271927716074
Sparse matmult (N=100000, nz=1000000): 27.35042835363508
LU (1000x1000): 43.06910445492665

java.vendor: Sun Microsystems Inc.
java.version: 1.4.2-beta
os.arch: i386
os.name: Linux
os.version: 2.4.9-31smp

[benkim@fastlane scimark2]$ /export/perf/b16/bin/java -server -Xmx256m -Xms256m jnt.scimark2.commandline -large
Composite Score: 35.36379994464857
FFT (1048576): 10.254526801329945
SOR (1000x1000): 84.7484294342001
Monte Carlo : 11.881881015817475
Sparse matmult (N=100000, nz=1000000): 27.444253657327685
LU (1000x1000): 42.48990881456765

java.vendor: Sun Microsystems Inc.
java.version: 1.4.2-beta
os.arch: i386
os.name: Linux
os.version: 2.4.9-31smp


When running xprof on the both the versions, we see 3% more time spent in compiling FFT class.

B15 XPROF
     Compiled + native Method
 38.3% 284 + 0 jnt.scimark2.LU.factor
 16.3% 121 + 0 jnt.scimark2.FFT.transform_internal
 13.2% 98 + 0 jnt.scimark2.MonteCarlo.integrate
 11.6% 86 + 0 jnt.scimark2.SparseCompRow.matmult
 11.5% 85 + 0 jnt.scimark2.SOR.execute
  1.9% 12 + 2 jnt.scimark2.kernel.RandomVector
  1.2% 9 + 0 jnt.scimark2.FFT.bitreverse
  1.1% 8 + 0 jnt.scimark2.kernel.RandomMatrix
  0.4% 3 + 0 jnt.scimark2.FFT.inverse
  0.3% 2 + 0 jnt.scimark2.Random.nextDouble
  0.1% 1 + 0 jnt.scimark2.kernel.CopyMatrix
 96.0% 709 + 2 Total compiled

B16 XPROF
Compiled + native Method
 34.1% 277 + 0 jnt.scimark2.LU.factor
 19.6% 159 + 0 jnt.scimark2.FFT.transform_internal
 15.5% 126 + 0 jnt.scimark2.MonteCarlo.integrate
 11.6% 94 + 0 jnt.scimark2.SOR.execute
 10.5% 85 + 0 jnt.scimark2.SparseCompRow.matmult
  1.7% 13 + 1 jnt.scimark2.kernel.RandomVector
  1.1% 9 + 0 jnt.scimark2.kernel.RandomMatrix
  1.1% 9 + 0 jnt.scimark2.FFT.bitreverse
  0.5% 4 + 0 jnt.scimark2.FFT.inverse
  0.1% 1 + 0 jnt.scimark2.kernel.CopyMatrix
  0.1% 1 + 0 jnt.scimark2.kernel.measureSparseMatmult
 95.8% 778 + 1 Total compiled