new bbs curves

diff --git a/curve_time_bbs_gpu.pdf b/curve_time_bbs_gpu.pdf
index 6d18bacea8dd6b6be47253102d26544d6cc39857..a6a1080ad960e9f60d4952c52c0eaa979f7db36f 100644 (file)
Binary files a/curve_time_bbs_gpu.pdf and b/curve_time_bbs_gpu.pdf differ

diff --git a/prng_gpu.tex b/prng_gpu.tex
index 00752c7ebacafd738aea10ba6c2c603c0fc8e26a..74b78a90e60f39ce45dbb35945db7bf3685d2adb 100644 (file)
--- a/prng_gpu.tex
+++ b/prng_gpu.tex
@@ -1082,7 +1082,7 @@ As a  comparison,   Listing~\ref{algo:seqCIPRNG}  leads   to the  generation of
 
 In Figure~\ref{fig:time_bbs_gpu}  we highlight the performances  of the optimized
 BBS-based  PRNG on GPU. On the  Tesla C1060 we
-obtain approximately 1.8GSample/s and on the GTX 280 about 1.6GSample/s, which is
+obtain approximately 700MSample/s and on the GTX 280 about 670MSample/s, which is
 obviously slower than the xorlike-based PRNG on GPU. However, we will show in the 
 next sections that 
 this new PRNG has a strong level of security, which is necessary paid by a speed

diff --git a/time_bbs_gpu.txt b/time_bbs_gpu.txt
index d32fb1bba70ceb52fafb21be8011fb142e522094..f45a97ca51751d9876e9f17fa1f805e2f00daeda 100644 (file)
--- a/time_bbs_gpu.txt
+++ b/time_bbs_gpu.txt
@@ -1,13 +1,13 @@
 #threads       bbs                     (c1060) opti rand/s             (gtx285) opti
-10240                                                  1627217759.55                                   1498102683.67
-20480                                                  1749246235.44                                   1607349227.62
-30720                                                  1833097798.03                                   1685516555.22
-51200                                                  1798823386.81                                   1653380954.14
-76800                                                  1802172135.34                                   1657005808.07
-102400                                         1810622021.15                                   1664347848.70
-153600                                         1831246356.28                                   1685425622.09
-512000                                         1826609454.30                                   1682096838.84
-768000                                         1825429813.30                                   1682980716.62
-1048576                                                1823084118.32                                   1679854343.07
-2097152                                                1818671555.41                                   1676695462.37
-5242880                                                1805432088.56                                   1667271144.46
+10240                                                  622497604.46                                    597300046.29
+20480                                                  677745855.23                                    650787308.05
+30720                                                  701376668.60                                    672256823.11
+51200                                                  692118233.26                                    663780345.74
+76800                                                  701740920.54                                    660640087.24
+102400                                         693025472.40                                    664058098.59
+153600                                         701565276.17                                    672620334.61
+512000                                         700157216.29                                    671244011.43
+768000                                         701007355.78                                    671801398.71
+1048576                                                699292505.32                                    669783366.17
+2097152                                                698125940.68                                    668241397.05
+5242880                                                675888442.85                                    665832927.73