ec_cvt.c: ARM comparison results were wrong, clarify the background.
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@ -85,15 +85,21 @@ EC_GROUP *EC_GROUP_new_curve_GFp(const BIGNUM *p, const BIGNUM *a, const BIGNUM
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* This might appear controversial, but the fact is that generic
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* This might appear controversial, but the fact is that generic
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* prime method was observed to deliver better performance even
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* prime method was observed to deliver better performance even
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* for NIST primes on a range of platforms, e.g.: 60%-15%
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* for NIST primes on a range of platforms, e.g.: 60%-15%
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* improvement on IA-64, 50%-20% on ARM, 30%-90% on P4, 20%-25%
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* improvement on IA-64, ~25% on ARM, 30%-90% on P4, 20%-25%
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* in 32-bit build and 35%--12% in 64-bit build on Core2...
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* in 32-bit build and 35%--12% in 64-bit build on Core2...
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* Coefficients are relative to optimized bn_nist.c for most
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* Coefficients are relative to optimized bn_nist.c for most
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* intensive ECDSA verify and ECDH operations for 192- and 521-
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* intensive ECDSA verify and ECDH operations for 192- and 521-
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* bit keys respectively. What effectively happens is that loop
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* bit keys respectively. Choice of these boundary values is
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* with bn_mul_add_words is put against bn_mul_mont, and latter
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* arguable, because the dependency of improvement coefficient
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* wins on short vectors. Correct solution should be implementing
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* from key length is not a "monotone" curve. For example while
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* dedicated NxN multiplication subroutines for small N. But till
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* 571-bit result is 23% on ARM, 384-bit one is -1%. But it's
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* it materializes, let's stick to generic prime method...
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* generally faster, sometimes "respectfully" faster, or
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* "tolerably" slower... What effectively happens is that loop
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* with bn_mul_add_words is put against bn_mul_mont, and the
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* latter "wins" on short vectors. Correct solution should be
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* implementing dedicated NxN multiplication subroutines for
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* small N. But till it materializes, let's stick to generic
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* prime method...
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* <appro>
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* <appro>
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*/
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*/
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meth = EC_GFp_mont_method();
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meth = EC_GFp_mont_method();
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