modes/asm/ghash-*.pl: switch to [more reproducible] performance results

collected with 'apps/openssl speed ghash'.

4 files changed, 44 insertions, 44 deletions

diff --git a/crypto/modes/asm/ghash-parisc.pl b/crypto/modes/asm/ghash-parisc.pl
index 8849f01bff..8c7454ee93 100644
--- a/crypto/modes/asm/ghash-parisc.pl
+++ b/crypto/modes/asm/ghash-parisc.pl
@@ -12,9 +12,9 @@
 # The module implements "4-bit" GCM GHASH function and underlying
 # single multiplication operation in GF(2^128). "4-bit" means that it
 # uses 256 bytes per-key table [+128 bytes shared table]. On PA-7100LC
-# it processes one byte in 19 cycles, which is more than twice as fast
-# as code generated by gcc 3.2. PA-RISC 2.0 loop is scheduled for 8
-# cycles, but measured performance on PA-8600 system is ~9 cycles per
+# it processes one byte in 19.6 cycles, which is more than twice as
+# fast as code generated by gcc 3.2. PA-RISC 2.0 loop is scheduled for
+# 8 cycles, but measured performance on PA-8600 system is ~9 cycles per
 # processed byte. This is ~2.2x faster than 64-bit code generated by
 # vendor compiler (which used to be very hard to beat:-).
 #
diff --git a/crypto/modes/asm/ghash-sparcv9.pl b/crypto/modes/asm/ghash-sparcv9.pl
index 367e1b69da..70e7b044a3 100644
--- a/crypto/modes/asm/ghash-sparcv9.pl
+++ b/crypto/modes/asm/ghash-sparcv9.pl
@@ -17,8 +17,8 @@
 #
 #		gcc 3.3.x	cc 5.2		this assembler
 #
-# 32-bit build	81.0		48.6		11.8	(+586%/+311%)
-# 64-bit build	27.5		20.3		11.8	(+133%/+72%)
+# 32-bit build	81.4		43.3		12.6	(+546%/+244%)
+# 64-bit build	20.2		21.2		12.6	(+60%/+68%)
 #
 # Here is data collected on UltraSPARC T1 system running Linux:
 #
diff --git a/crypto/modes/asm/ghash-x86.pl b/crypto/modes/asm/ghash-x86.pl
index a768a056f3..fca19e41f0 100644
--- a/crypto/modes/asm/ghash-x86.pl
+++ b/crypto/modes/asm/ghash-x86.pl
@@ -21,17 +21,18 @@
 #
 #		gcc 2.95.3(*)	MMX assembler	x86 assembler
 #
-# Pentium	100/112(**)	-		50
-# PIII		63 /77		12.2		24
-# P4		96 /122		18.0		84(***)
-# Opteron	50 /71		10.1		30
-# Core2		54 /68		8.6		18
+# Pentium	105/111(**)	-		50
+# PIII		68 /75		12.2		24
+# P4		125/125		17.8		84(***)
+# Opteron	66 /70		10.1		30
+# Core2		54 /67		8.4		18
 #
 # (*)	gcc 3.4.x was observed to generate few percent slower code,
 #	which is one of reasons why 2.95.3 results were chosen,
 #	another reason is lack of 3.4.x results for older CPUs;
-#	comparison is not completely fair, because C results are
-#	for vanilla "256B" implementations, not "528B";-)
+#	comparison with MMX results is not completely fair, because C
+#	results are for vanilla "256B" implementation, while
+#	assembler results are for "528B";-)
 # (**)	second number is result for code compiled with -fPIC flag,
 #	which is actually more relevant, because assembler code is
 #	position-independent;
@@ -44,7 +45,7 @@
 
 # May 2010
 #
-# Add PCLMULQDQ version performing at 2.13 cycles per processed byte.
+# Add PCLMULQDQ version performing at 2.10 cycles per processed byte.
 # The question is how close is it to theoretical limit? The pclmulqdq
 # instruction latency appears to be 14 cycles and there can't be more
 # than 2 of them executing at any given time. This means that single
@@ -60,38 +61,36 @@
 # Before we proceed to this implementation let's have closer look at
 # the best-performing code suggested by Intel in their white paper.
 # By tracing inter-register dependencies Tmod is estimated as ~19
-# cycles and Naggr is 4, resulting in 2.05 cycles per processed byte.
-# As implied, this is quite optimistic estimate, because it does not
-# account for Karatsuba pre- and post-processing, which for a single
-# multiplication is ~5 cycles. Unfortunately Intel does not provide
-# performance data for GHASH alone, only for fused GCM mode. But
-# we can estimate it by subtracting CTR performance result provided
-# in "AES Instruction Set" white paper: 3.54-1.38=2.16 cycles per
-# processed byte or 5% off the estimate. It should be noted though
-# that 3.54 is GCM result for 16KB block size, while 1.38 is CTR for
-# 1KB block size, meaning that real number is likely to be a bit
-# further from estimate.
+# cycles and Naggr chosen by Intel is 4, resulting in 2.05 cycles per
+# processed byte. As implied, this is quite optimistic estimate,
+# because it does not account for Karatsuba pre- and post-processing,
+# which for a single multiplication is ~5 cycles. Unfortunately Intel
+# does not provide performance data for GHASH alone. But benchmarking
+# AES_GCM_encrypt ripped out of Fig. 15 of the white paper with aadt
+# alone resulted in 2.46 cycles per byte of out 16KB buffer. Note that
+# the result accounts even for pre-computing of degrees of the hash
+# key H, but its portion is negligible at 16KB buffer size.
 #
 # Moving on to the implementation in question. Tmod is estimated as
 # ~13 cycles and Naggr is 2, giving asymptotic performance of ...
 # 2.16. How is it possible that measured performance is better than
 # optimistic theoretical estimate? There is one thing Intel failed
-# to recognize. By fusing GHASH with CTR former's performance is
-# really limited to above (Tmul + Tmod/Naggr) equation. But if GHASH
-# procedure is detached, the modulo-reduction can be interleaved with
-# Naggr-1 multiplications and under ideal conditions even disappear
-# from the equation. So that optimistic theoretical estimate for this
-# implementation is ... 28/16=1.75, and not 2.16. Well, it's probably
-# way too optimistic, at least for such small Naggr. I'd argue that
-# (28+Tproc/Naggr), where Tproc is time required for Karatsuba pre-
-# and post-processing, is more realistic estimate. In this case it
-# gives ... 1.91 cycles per processed byte. Or in other words,
-# depending on how well we can interleave reduction and one of the
-# two multiplications the performance should be betwen 1.91 and 2.16.
-# As already mentioned, this implementation processes one byte [out
-# of 1KB buffer] in 2.13 cycles, while x86_64 counterpart - in 2.07.
-# x86_64 performance is better, because larger register bank allows
-# to interleave reduction and multiplication better.
+# to recognize. By serializing GHASH with CTR in same subroutine
+# former's performance is really limited to above (Tmul + Tmod/Naggr)
+# equation. But if GHASH procedure is detached, the modulo-reduction
+# can be interleaved with Naggr-1 multiplications at instruction level
+# and under ideal conditions even disappear from the equation. So that
+# optimistic theoretical estimate for this implementation is ...
+# 28/16=1.75, and not 2.16. Well, it's probably way too optimistic,
+# at least for such small Naggr. I'd argue that (28+Tproc/Naggr),
+# where Tproc is time required for Karatsuba pre- and post-processing,
+# is more realistic estimate. In this case it gives ... 1.91 cycles.
+# Or in other words, depending on how well we can interleave reduction
+# and one of the two multiplications the performance should be betwen
+# 1.91 and 2.16. As already mentioned, this implementation processes
+# one byte out of 8KB buffer in 2.10 cycles, while x86_64 counterpart
+# - in 2.02. x86_64 performance is better, because larger register
+# bank allows to interleave reduction and multiplication better.
 #
 # Does it make sense to increase Naggr? To start with it's virtually
 # impossible in 32-bit mode, because of limited register bank
diff --git a/crypto/modes/asm/ghash-x86_64.pl b/crypto/modes/asm/ghash-x86_64.pl
index b80be6c742..34edb397eb 100644
--- a/crypto/modes/asm/ghash-x86_64.pl
+++ b/crypto/modes/asm/ghash-x86_64.pl
@@ -20,17 +20,18 @@
 #		gcc 3.4.x(*)	assembler
 #
 # P4		28.6		14.0		+100%
-# Opteron	18.5		7.7		+140%
-# Core2		17.5		8.1(**)		+115%
+# Opteron	19.3		7.7		+150%
+# Core2		17.8		8.1(**)		+120%
 #
 # (*)	comparison is not completely fair, because C results are
-#	for vanilla "256B" implementation, not "528B";-)
+#	for vanilla "256B" implementation, while assembler results
+#	are for "528B";-)
 # (**)	it's mystery [to me] why Core2 result is not same as for
 #	Opteron;
 
 # May 2010
 #
-# Add PCLMULQDQ version performing at 2.07 cycles per processed byte.
+# Add PCLMULQDQ version performing at 2.02 cycles per processed byte.
 # See ghash-x86.pl for background information and details about coding
 # techniques.
 #