Subject: Java SciMark benchmark

From: Saleh Elmohamed <[email-masked]>
Date: Sun, 16 Aug 1998 10:23:37 -0400 (EDT)

Roldan,

On UltraSparc-II 296 MHz CPU, 2.0 Mbyte E-Cache, and UDB-II 
(ultrascpar-II data buffer):

Here is a 5-run on the command-line:

[1] java scimark 2.0 
Composite Score: 7.5964274526964815 
FFT (4096): 10.566888890464035 
Jacobi SOR (100x100): , 10 iterations: 8.246295162970476 
Monte Carlo (25000): 11.250631453741347 
Sparse matmult (nz=25000): 7.918321756306545 
LU (100x100): 3.640293480101501

[2] java scimark 2.0 
Composite Score: 7.6034932363998395 
FFT (4096): 10.587914444647385 
Jacobi SOR (100x100): , 10 iterations: 8.29352554168805 
Monte Carlo (25000): 11.256049785533449 
Sparse matmult (nz=25000): 7.8799764101303085 
LU (100x100): 3.6369835761547145

[3] java scimark 2.0 
Composite Score: 7.600210269326061 
FFT (4096): 10.57288761475597 
Jacobi SOR (100x100): , 10 iterations: 8.266964015942525 
Monte Carlo (25000): 11.285037151558305 
Sparse matmult (nz=25000): 7.876162564373503 
LU (100x100): 2.955028166153157

[4] java scimark 2.0 
Composite Score: 7.596487176657876 
FFT (4096): 10.575889710673287 
Jacobi SOR (100x100): , 10 iterations: 8.29352554168805 
Monte Carlo (25000): 11.259665194489497 
Sparse matmult (nz=25000): 7.8533554364385445 
LU (100x100): 3.6390515696186894

[5] java scimark 2.0 
Composite Score: 7.612590129173022 
FFT (4096): 10.612046492352087 
Jacobi SOR (100x100): , 10 iterations: 8.29642287255666 
Monte Carlo (25000): 11.308699347334066 
Sparse matmult (nz=25000): 7.845781933622292 
LU (100x100): 3.6427798952220303

-saleh