提交 b4020a8b 编写于 作者: V vkempik

8130150: Implement BigInteger.montgomeryMultiply intrinsic

Reviewed-by: kvn, mdoerr
上级 c5837c06
......@@ -23,6 +23,9 @@
*/
#include "precompiled.hpp"
#ifndef _WINDOWS
#include "alloca.h"
#endif
#include "asm/macroAssembler.hpp"
#include "asm/macroAssembler.inline.hpp"
#include "code/debugInfoRec.hpp"
......@@ -3966,6 +3969,256 @@ RuntimeStub* SharedRuntime::generate_resolve_blob(address destination, const cha
}
//------------------------------Montgomery multiplication------------------------
//
#ifndef _WINDOWS
#define ASM_SUBTRACT
#ifdef ASM_SUBTRACT
// Subtract 0:b from carry:a. Return carry.
static unsigned long
sub(unsigned long a[], unsigned long b[], unsigned long carry, long len) {
long i = 0, cnt = len;
unsigned long tmp;
asm volatile("clc; "
"0: ; "
"mov (%[b], %[i], 8), %[tmp]; "
"sbb %[tmp], (%[a], %[i], 8); "
"inc %[i]; dec %[cnt]; "
"jne 0b; "
"mov %[carry], %[tmp]; sbb $0, %[tmp]; "
: [i]"+r"(i), [cnt]"+r"(cnt), [tmp]"=&r"(tmp)
: [a]"r"(a), [b]"r"(b), [carry]"r"(carry)
: "memory");
return tmp;
}
#else // ASM_SUBTRACT
typedef int __attribute__((mode(TI))) int128;
// Subtract 0:b from carry:a. Return carry.
static unsigned long
sub(unsigned long a[], unsigned long b[], unsigned long carry, int len) {
int128 tmp = 0;
int i;
for (i = 0; i < len; i++) {
tmp += a[i];
tmp -= b[i];
a[i] = tmp;
tmp >>= 64;
assert(-1 <= tmp && tmp <= 0, "invariant");
}
return tmp + carry;
}
#endif // ! ASM_SUBTRACT
// Multiply (unsigned) Long A by Long B, accumulating the double-
// length result into the accumulator formed of T0, T1, and T2.
#define MACC(A, B, T0, T1, T2) \
do { \
unsigned long hi, lo; \
asm volatile("mul %5; add %%rax, %2; adc %%rdx, %3; adc $0, %4" \
: "=&d"(hi), "=a"(lo), "+r"(T0), "+r"(T1), "+g"(T2) \
: "r"(A), "a"(B) : "cc"); \
} while(0)
// As above, but add twice the double-length result into the
// accumulator.
#define MACC2(A, B, T0, T1, T2) \
do { \
unsigned long hi, lo; \
asm volatile("mul %5; add %%rax, %2; adc %%rdx, %3; adc $0, %4;" \
"add %%rax, %2; adc %%rdx, %3; adc $0, %4" \
: "=&d"(hi), "=a"(lo), "+r"(T0), "+r"(T1), "+g"(T2) \
: "r"(A), "a"(B) : "cc"); \
} while(0)
// Fast Montgomery multiplication. The derivation of the algorithm is
// in A Cryptographic Library for the Motorola DSP56000,
// Dusse and Kaliski, Proc. EUROCRYPT 90, pp. 230-237.
static void __attribute__((noinline))
montgomery_multiply(unsigned long a[], unsigned long b[], unsigned long n[],
unsigned long m[], unsigned long inv, int len) {
unsigned long t0 = 0, t1 = 0, t2 = 0; // Triple-precision accumulator
int i;
assert(inv * n[0] == -1UL, "broken inverse in Montgomery multiply");
for (i = 0; i < len; i++) {
int j;
for (j = 0; j < i; j++) {
MACC(a[j], b[i-j], t0, t1, t2);
MACC(m[j], n[i-j], t0, t1, t2);
}
MACC(a[i], b[0], t0, t1, t2);
m[i] = t0 * inv;
MACC(m[i], n[0], t0, t1, t2);
assert(t0 == 0, "broken Montgomery multiply");
t0 = t1; t1 = t2; t2 = 0;
}
for (i = len; i < 2*len; i++) {
int j;
for (j = i-len+1; j < len; j++) {
MACC(a[j], b[i-j], t0, t1, t2);
MACC(m[j], n[i-j], t0, t1, t2);
}
m[i-len] = t0;
t0 = t1; t1 = t2; t2 = 0;
}
while (t0)
t0 = sub(m, n, t0, len);
}
// Fast Montgomery squaring. This uses asymptotically 25% fewer
// multiplies so it should be up to 25% faster than Montgomery
// multiplication. However, its loop control is more complex and it
// may actually run slower on some machines.
static void __attribute__((noinline))
montgomery_square(unsigned long a[], unsigned long n[],
unsigned long m[], unsigned long inv, int len) {
unsigned long t0 = 0, t1 = 0, t2 = 0; // Triple-precision accumulator
int i;
assert(inv * n[0] == -1UL, "broken inverse in Montgomery multiply");
for (i = 0; i < len; i++) {
int j;
int end = (i+1)/2;
for (j = 0; j < end; j++) {
MACC2(a[j], a[i-j], t0, t1, t2);
MACC(m[j], n[i-j], t0, t1, t2);
}
if ((i & 1) == 0) {
MACC(a[j], a[j], t0, t1, t2);
}
for (; j < i; j++) {
MACC(m[j], n[i-j], t0, t1, t2);
}
m[i] = t0 * inv;
MACC(m[i], n[0], t0, t1, t2);
assert(t0 == 0, "broken Montgomery square");
t0 = t1; t1 = t2; t2 = 0;
}
for (i = len; i < 2*len; i++) {
int start = i-len+1;
int end = start + (len - start)/2;
int j;
for (j = start; j < end; j++) {
MACC2(a[j], a[i-j], t0, t1, t2);
MACC(m[j], n[i-j], t0, t1, t2);
}
if ((i & 1) == 0) {
MACC(a[j], a[j], t0, t1, t2);
}
for (; j < len; j++) {
MACC(m[j], n[i-j], t0, t1, t2);
}
m[i-len] = t0;
t0 = t1; t1 = t2; t2 = 0;
}
while (t0)
t0 = sub(m, n, t0, len);
}
// Swap words in a longword.
static unsigned long swap(unsigned long x) {
return (x << 32) | (x >> 32);
}
// Copy len longwords from s to d, word-swapping as we go. The
// destination array is reversed.
static void reverse_words(unsigned long *s, unsigned long *d, int len) {
d += len;
while(len-- > 0) {
d--;
*d = swap(*s);
s++;
}
}
// The threshold at which squaring is advantageous was determined
// experimentally on an i7-3930K (Ivy Bridge) CPU @ 3.5GHz.
#define MONTGOMERY_SQUARING_THRESHOLD 64
void SharedRuntime::montgomery_multiply(jint *a_ints, jint *b_ints, jint *n_ints,
jint len, jlong inv,
jint *m_ints) {
assert(len % 2 == 0, "array length in montgomery_multiply must be even");
int longwords = len/2;
// Make very sure we don't use so much space that the stack might
// overflow. 512 jints corresponds to an 16384-bit integer and
// will use here a total of 8k bytes of stack space.
int total_allocation = longwords * sizeof (unsigned long) * 4;
guarantee(total_allocation <= 8192, "must be");
unsigned long *scratch = (unsigned long *)alloca(total_allocation);
// Local scratch arrays
unsigned long
*a = scratch + 0 * longwords,
*b = scratch + 1 * longwords,
*n = scratch + 2 * longwords,
*m = scratch + 3 * longwords;
reverse_words((unsigned long *)a_ints, a, longwords);
reverse_words((unsigned long *)b_ints, b, longwords);
reverse_words((unsigned long *)n_ints, n, longwords);
::montgomery_multiply(a, b, n, m, (unsigned long)inv, longwords);
reverse_words(m, (unsigned long *)m_ints, longwords);
}
void SharedRuntime::montgomery_square(jint *a_ints, jint *n_ints,
jint len, jlong inv,
jint *m_ints) {
assert(len % 2 == 0, "array length in montgomery_square must be even");
int longwords = len/2;
// Make very sure we don't use so much space that the stack might
// overflow. 512 jints corresponds to an 16384-bit integer and
// will use here a total of 6k bytes of stack space.
int total_allocation = longwords * sizeof (unsigned long) * 3;
guarantee(total_allocation <= 8192, "must be");
unsigned long *scratch = (unsigned long *)alloca(total_allocation);
// Local scratch arrays
unsigned long
*a = scratch + 0 * longwords,
*n = scratch + 1 * longwords,
*m = scratch + 2 * longwords;
reverse_words((unsigned long *)a_ints, a, longwords);
reverse_words((unsigned long *)n_ints, n, longwords);
//montgomery_square fails to pass BigIntegerTest on solaris amd64
//on jdk7 and jdk8.
#ifndef SOLARIS
if (len >= MONTGOMERY_SQUARING_THRESHOLD) {
#else
if (0) {
#endif
::montgomery_square(a, n, m, (unsigned long)inv, longwords);
} else {
::montgomery_multiply(a, a, n, m, (unsigned long)inv, longwords);
}
reverse_words(m, (unsigned long *)m_ints, longwords);
}
#endif // WINDOWS
#ifdef COMPILER2
// This is here instead of runtime_x86_64.cpp because it uses SimpleRuntimeFrame
//
......
......@@ -4094,7 +4094,18 @@ class StubGenerator: public StubCodeGenerator {
if (UseMulAddIntrinsic) {
StubRoutines::_mulAdd = generate_mulAdd();
}
#endif
#ifndef _WINDOWS
if (UseMontgomeryMultiplyIntrinsic) {
StubRoutines::_montgomeryMultiply
= CAST_FROM_FN_PTR(address, SharedRuntime::montgomery_multiply);
}
if (UseMontgomerySquareIntrinsic) {
StubRoutines::_montgomerySquare
= CAST_FROM_FN_PTR(address, SharedRuntime::montgomery_square);
}
#endif // WINDOWS
#endif // COMPILER2
}
public:
......
......@@ -709,6 +709,12 @@ void VM_Version::get_processor_features() {
if (FLAG_IS_DEFAULT(UseMulAddIntrinsic)) {
UseMulAddIntrinsic = true;
}
if (FLAG_IS_DEFAULT(UseMontgomeryMultiplyIntrinsic)) {
UseMontgomeryMultiplyIntrinsic = true;
}
if (FLAG_IS_DEFAULT(UseMontgomerySquareIntrinsic)) {
UseMontgomerySquareIntrinsic = true;
}
#else
if (UseMultiplyToLenIntrinsic) {
if (!FLAG_IS_DEFAULT(UseMultiplyToLenIntrinsic)) {
......@@ -728,6 +734,18 @@ void VM_Version::get_processor_features() {
}
FLAG_SET_DEFAULT(UseMulAddIntrinsic, false);
}
if (UseMontgomeryMultiplyIntrinsic) {
if (!FLAG_IS_DEFAULT(UseMontgomeryMultiplyIntrinsic)) {
warning("montgomeryMultiply intrinsic is not available in 32-bit VM");
}
FLAG_SET_DEFAULT(UseMontgomeryMultiplyIntrinsic, false);
}
if (UseMontgomerySquareIntrinsic) {
if (!FLAG_IS_DEFAULT(UseMontgomerySquareIntrinsic)) {
warning("montgomerySquare intrinsic is not available in 32-bit VM");
}
FLAG_SET_DEFAULT(UseMontgomerySquareIntrinsic, false);
}
#endif
#endif // COMPILER2
......
......@@ -789,7 +789,7 @@
do_signature(encodeISOArray_signature, "([CI[BII)I") \
\
do_class(java_math_BigInteger, "java/math/BigInteger") \
do_intrinsic(_multiplyToLen, java_math_BigInteger, multiplyToLen_name, multiplyToLen_signature, F_R) \
do_intrinsic(_multiplyToLen, java_math_BigInteger, multiplyToLen_name, multiplyToLen_signature, F_S) \
do_name( multiplyToLen_name, "multiplyToLen") \
do_signature(multiplyToLen_signature, "([II[II[I)[I") \
\
......@@ -801,6 +801,14 @@
do_name( mulAdd_name, "implMulAdd") \
do_signature(mulAdd_signature, "([I[IIII)I") \
\
do_intrinsic(_montgomeryMultiply, java_math_BigInteger, montgomeryMultiply_name, montgomeryMultiply_signature, F_S) \
do_name( montgomeryMultiply_name, "implMontgomeryMultiply") \
do_signature(montgomeryMultiply_signature, "([I[I[IIJ[I)[I") \
\
do_intrinsic(_montgomerySquare, java_math_BigInteger, montgomerySquare_name, montgomerySquare_signature, F_S) \
do_name( montgomerySquare_name, "implMontgomerySquare") \
do_signature(montgomerySquare_signature, "([I[IIJ[I)[I") \
\
/* java/lang/ref/Reference */ \
do_intrinsic(_Reference_get, java_lang_ref_Reference, get_name, void_object_signature, F_R) \
\
......
......@@ -665,6 +665,12 @@
product(bool, UseMulAddIntrinsic, false, \
"Enables intrinsification of BigInteger.mulAdd()") \
\
product(bool, UseMontgomeryMultiplyIntrinsic, false, \
"Enables intrinsification of BigInteger.montgomeryMultiply()") \
\
product(bool, UseMontgomerySquareIntrinsic, false, \
"Enables intrinsification of BigInteger.montgomerySquare()") \
\
product(bool, UseTypeSpeculation, true, \
"Speculatively propagate types from profiles") \
\
......
......@@ -960,8 +960,10 @@ void ConnectionGraph::process_call_arguments(CallNode *call) {
strcmp(call->as_CallLeaf()->_name, "sha512_implCompressMB") == 0 ||
strcmp(call->as_CallLeaf()->_name, "multiplyToLen") == 0 ||
strcmp(call->as_CallLeaf()->_name, "squareToLen") == 0 ||
strcmp(call->as_CallLeaf()->_name, "mulAdd") == 0)
))) {
strcmp(call->as_CallLeaf()->_name, "mulAdd") == 0 ||
strcmp(call->as_CallLeaf()->_name, "montgomery_multiply") == 0 ||
strcmp(call->as_CallLeaf()->_name, "montgomery_square") == 0)
))) {
call->dump();
fatal(err_msg_res("EA unexpected CallLeaf %s", call->as_CallLeaf()->_name));
}
......
......@@ -326,6 +326,8 @@ class LibraryCallKit : public GraphKit {
bool inline_multiplyToLen();
bool inline_squareToLen();
bool inline_mulAdd();
bool inline_montgomeryMultiply();
bool inline_montgomerySquare();
bool inline_profileBoolean();
};
......@@ -537,6 +539,13 @@ CallGenerator* Compile::make_vm_intrinsic(ciMethod* m, bool is_virtual) {
if (!UseMulAddIntrinsic) return NULL;
break;
case vmIntrinsics::_montgomeryMultiply:
if (!UseMontgomeryMultiplyIntrinsic) return NULL;
break;
case vmIntrinsics::_montgomerySquare:
if (!UseMontgomerySquareIntrinsic) return NULL;
break;
case vmIntrinsics::_cipherBlockChaining_encryptAESCrypt:
case vmIntrinsics::_cipherBlockChaining_decryptAESCrypt:
if (!UseAESIntrinsics) return NULL;
......@@ -943,6 +952,11 @@ bool LibraryCallKit::try_to_inline(int predicate) {
case vmIntrinsics::_mulAdd:
return inline_mulAdd();
case vmIntrinsics::_montgomeryMultiply:
return inline_montgomeryMultiply();
case vmIntrinsics::_montgomerySquare:
return inline_montgomerySquare();
case vmIntrinsics::_encodeISOArray:
return inline_encodeISOArray();
......@@ -5783,11 +5797,12 @@ bool LibraryCallKit::inline_multiplyToLen() {
assert(callee()->signature()->size() == 5, "multiplyToLen has 5 parameters");
Node* x = argument(1);
Node* xlen = argument(2);
Node* y = argument(3);
Node* ylen = argument(4);
Node* z = argument(5);
// no receiver because it is a static method
Node* x = argument(0);
Node* xlen = argument(1);
Node* y = argument(2);
Node* ylen = argument(3);
Node* z = argument(4);
const Type* x_type = x->Value(&_gvn);
const Type* y_type = y->Value(&_gvn);
......@@ -5966,6 +5981,121 @@ bool LibraryCallKit::inline_mulAdd() {
return true;
}
//-------------inline_montgomeryMultiply-----------------------------------
bool LibraryCallKit::inline_montgomeryMultiply() {
address stubAddr = StubRoutines::montgomeryMultiply();
if (stubAddr == NULL) {
return false; // Intrinsic's stub is not implemented on this platform
}
assert(UseMontgomeryMultiplyIntrinsic, "not implemented on this platform");
const char* stubName = "montgomery_square";
assert(callee()->signature()->size() == 7, "montgomeryMultiply has 7 parameters");
Node* a = argument(0);
Node* b = argument(1);
Node* n = argument(2);
Node* len = argument(3);
Node* inv = argument(4);
Node* m = argument(6);
const Type* a_type = a->Value(&_gvn);
const TypeAryPtr* top_a = a_type->isa_aryptr();
const Type* b_type = b->Value(&_gvn);
const TypeAryPtr* top_b = b_type->isa_aryptr();
const Type* n_type = a->Value(&_gvn);
const TypeAryPtr* top_n = n_type->isa_aryptr();
const Type* m_type = a->Value(&_gvn);
const TypeAryPtr* top_m = m_type->isa_aryptr();
if (top_a == NULL || top_a->klass() == NULL ||
top_b == NULL || top_b->klass() == NULL ||
top_n == NULL || top_n->klass() == NULL ||
top_m == NULL || top_m->klass() == NULL) {
// failed array check
return false;
}
BasicType a_elem = a_type->isa_aryptr()->klass()->as_array_klass()->element_type()->basic_type();
BasicType b_elem = b_type->isa_aryptr()->klass()->as_array_klass()->element_type()->basic_type();
BasicType n_elem = n_type->isa_aryptr()->klass()->as_array_klass()->element_type()->basic_type();
BasicType m_elem = m_type->isa_aryptr()->klass()->as_array_klass()->element_type()->basic_type();
if (a_elem != T_INT || b_elem != T_INT || n_elem != T_INT || m_elem != T_INT) {
return false;
}
// Make the call
{
Node* a_start = array_element_address(a, intcon(0), a_elem);
Node* b_start = array_element_address(b, intcon(0), b_elem);
Node* n_start = array_element_address(n, intcon(0), n_elem);
Node* m_start = array_element_address(m, intcon(0), m_elem);
Node* call = make_runtime_call(RC_LEAF,
OptoRuntime::montgomeryMultiply_Type(),
stubAddr, stubName, TypePtr::BOTTOM,
a_start, b_start, n_start, len, inv, top(),
m_start);
set_result(m);
}
return true;
}
bool LibraryCallKit::inline_montgomerySquare() {
address stubAddr = StubRoutines::montgomerySquare();
if (stubAddr == NULL) {
return false; // Intrinsic's stub is not implemented on this platform
}
assert(UseMontgomerySquareIntrinsic, "not implemented on this platform");
const char* stubName = "montgomery_square";
assert(callee()->signature()->size() == 6, "montgomerySquare has 6 parameters");
Node* a = argument(0);
Node* n = argument(1);
Node* len = argument(2);
Node* inv = argument(3);
Node* m = argument(5);
const Type* a_type = a->Value(&_gvn);
const TypeAryPtr* top_a = a_type->isa_aryptr();
const Type* n_type = a->Value(&_gvn);
const TypeAryPtr* top_n = n_type->isa_aryptr();
const Type* m_type = a->Value(&_gvn);
const TypeAryPtr* top_m = m_type->isa_aryptr();
if (top_a == NULL || top_a->klass() == NULL ||
top_n == NULL || top_n->klass() == NULL ||
top_m == NULL || top_m->klass() == NULL) {
// failed array check
return false;
}
BasicType a_elem = a_type->isa_aryptr()->klass()->as_array_klass()->element_type()->basic_type();
BasicType n_elem = n_type->isa_aryptr()->klass()->as_array_klass()->element_type()->basic_type();
BasicType m_elem = m_type->isa_aryptr()->klass()->as_array_klass()->element_type()->basic_type();
if (a_elem != T_INT || n_elem != T_INT || m_elem != T_INT) {
return false;
}
// Make the call
{
Node* a_start = array_element_address(a, intcon(0), a_elem);
Node* n_start = array_element_address(n, intcon(0), n_elem);
Node* m_start = array_element_address(m, intcon(0), m_elem);
Node* call = make_runtime_call(RC_LEAF,
OptoRuntime::montgomerySquare_Type(),
stubAddr, stubName, TypePtr::BOTTOM,
a_start, n_start, len, inv, top(),
m_start);
set_result(m);
}
return true;
}
/**
* Calculate CRC32 for byte.
......
......@@ -998,6 +998,52 @@ const TypeFunc* OptoRuntime::mulAdd_Type() {
return TypeFunc::make(domain, range);
}
const TypeFunc* OptoRuntime::montgomeryMultiply_Type() {
// create input type (domain)
int num_args = 7;
int argcnt = num_args;
const Type** fields = TypeTuple::fields(argcnt);
int argp = TypeFunc::Parms;
fields[argp++] = TypePtr::NOTNULL; // a
fields[argp++] = TypePtr::NOTNULL; // b
fields[argp++] = TypePtr::NOTNULL; // n
fields[argp++] = TypeInt::INT; // len
fields[argp++] = TypeLong::LONG; // inv
fields[argp++] = Type::HALF;
fields[argp++] = TypePtr::NOTNULL; // result
assert(argp == TypeFunc::Parms+argcnt, "correct decoding");
const TypeTuple* domain = TypeTuple::make(TypeFunc::Parms+argcnt, fields);
// result type needed
fields = TypeTuple::fields(1);
fields[TypeFunc::Parms+0] = TypePtr::NOTNULL;
const TypeTuple* range = TypeTuple::make(TypeFunc::Parms, fields);
return TypeFunc::make(domain, range);
}
const TypeFunc* OptoRuntime::montgomerySquare_Type() {
// create input type (domain)
int num_args = 6;
int argcnt = num_args;
const Type** fields = TypeTuple::fields(argcnt);
int argp = TypeFunc::Parms;
fields[argp++] = TypePtr::NOTNULL; // a
fields[argp++] = TypePtr::NOTNULL; // n
fields[argp++] = TypeInt::INT; // len
fields[argp++] = TypeLong::LONG; // inv
fields[argp++] = Type::HALF;
fields[argp++] = TypePtr::NOTNULL; // result
assert(argp == TypeFunc::Parms+argcnt, "correct decoding");
const TypeTuple* domain = TypeTuple::make(TypeFunc::Parms+argcnt, fields);
// result type needed
fields = TypeTuple::fields(1);
fields[TypeFunc::Parms+0] = TypePtr::NOTNULL;
const TypeTuple* range = TypeTuple::make(TypeFunc::Parms, fields);
return TypeFunc::make(domain, range);
}
//------------- Interpreter state access for on stack replacement
......
......@@ -308,6 +308,8 @@ private:
static const TypeFunc* squareToLen_Type();
static const TypeFunc* mulAdd_Type();
static const TypeFunc* montgomeryMultiply_Type();
static const TypeFunc* montgomerySquare_Type();
static const TypeFunc* updateBytesCRC32_Type();
......
......@@ -145,6 +145,12 @@ class SharedRuntime: AllStatic {
static double dsqrt(double f);
#endif
// Montgomery multiplication
static void montgomery_multiply(jint *a_ints, jint *b_ints, jint *n_ints,
jint len, jlong inv, jint *m_ints);
static void montgomery_square(jint *a_ints, jint *n_ints,
jint len, jlong inv, jint *m_ints);
#ifdef __SOFTFP__
// C++ compiler generates soft float instructions as well as passing
// float and double in registers.
......
......@@ -138,6 +138,8 @@ address StubRoutines::_crc_table_adr = NULL;
address StubRoutines::_multiplyToLen = NULL;
address StubRoutines::_squareToLen = NULL;
address StubRoutines::_mulAdd = NULL;
address StubRoutines::_montgomeryMultiply = NULL;
address StubRoutines::_montgomerySquare = NULL;
double (* StubRoutines::_intrinsic_log )(double) = NULL;
double (* StubRoutines::_intrinsic_log10 )(double) = NULL;
......
......@@ -211,6 +211,8 @@ class StubRoutines: AllStatic {
static address _multiplyToLen;
static address _squareToLen;
static address _mulAdd;
static address _montgomeryMultiply;
static address _montgomerySquare;
// These are versions of the java.lang.Math methods which perform
// the same operations as the intrinsic version. They are used for
......@@ -371,6 +373,8 @@ class StubRoutines: AllStatic {
static address multiplyToLen() {return _multiplyToLen; }
static address squareToLen() {return _squareToLen; }
static address mulAdd() {return _mulAdd; }
static address montgomeryMultiply() { return _montgomeryMultiply; }
static address montgomerySquare() { return _montgomerySquare; }
static address select_fill_function(BasicType t, bool aligned, const char* &name);
......
//
// Copyright (c) 2000, 2015, Oracle and/or its affiliates. All rights reserved.
// Copyright (c) 2015, Red Hat Inc. All rights reserved.
// DO NOT ALTER OR REMOVE COPYRIGHT NOTICES OR THIS FILE HEADER.
//
// This code is free software; you can redistribute it and/or modify it
// under the terms of the GNU General Public License version 2 only, as
// published by the Free Software Foundation.
//
// This code is distributed in the hope that it will be useful, but WITHOUT
// ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
// FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License
// version 2 for more details (a copy is included in the LICENSE file that
// accompanied this code).
//
// You should have received a copy of the GNU General Public License version
// 2 along with this work; if not, write to the Free Software Foundation,
// Inc., 51 Franklin St, Fifth Floor, Boston, MA 02110-1301 USA.
//
// Please contact Oracle, 500 Oracle Parkway, Redwood Shores, CA 94065 USA
// or visit www.oracle.com if you need additional information or have any
// questions.
//
//
import java.lang.invoke.MethodHandle;
import java.lang.invoke.MethodHandles;
import java.lang.invoke.MethodType;
import java.lang.reflect.Constructor;
import java.lang.reflect.Field;
import java.lang.reflect.Method;
import java.math.BigInteger;
import java.util.Arrays;
import java.util.Random;
/**
* @test
* @bug 8130150
* @library /testlibrary
* @requires (os.simpleArch == "x64") & (os.family != "windows")
* @summary Verify that the Montgomery multiply intrinsic works and correctly checks its arguments.
*/
public class MontgomeryMultiplyTest {
static final MethodHandles.Lookup lookup = MethodHandles.lookup();
static final MethodHandle montgomeryMultiplyHandle, montgomerySquareHandle;
static final MethodHandle bigIntegerConstructorHandle;
static final Field bigIntegerMagField;
static {
// Use reflection to gain access to the methods we want to test.
try {
Method m = BigInteger.class.getDeclaredMethod("montgomeryMultiply",
/*a*/int[].class, /*b*/int[].class, /*n*/int[].class, /*len*/int.class,
/*inv*/long.class, /*product*/int[].class);
m.setAccessible(true);
montgomeryMultiplyHandle = lookup.unreflect(m);
m = BigInteger.class.getDeclaredMethod("montgomerySquare",
/*a*/int[].class, /*n*/int[].class, /*len*/int.class,
/*inv*/long.class, /*product*/int[].class);
m.setAccessible(true);
montgomerySquareHandle = lookup.unreflect(m);
Constructor c
= BigInteger.class.getDeclaredConstructor(int.class, int[].class);
c.setAccessible(true);
bigIntegerConstructorHandle = lookup.unreflectConstructor(c);
bigIntegerMagField = BigInteger.class.getDeclaredField("mag");
bigIntegerMagField.setAccessible(true);
} catch (Throwable ex) {
throw new RuntimeException(ex);
}
}
// Invoke either BigInteger.montgomeryMultiply or BigInteger.montgomerySquare.
int[] montgomeryMultiply(int[] a, int[] b, int[] n, int len, long inv,
int[] product) throws Throwable {
int[] result =
(a == b) ? (int[]) montgomerySquareHandle.invokeExact(a, n, len, inv, product)
: (int[]) montgomeryMultiplyHandle.invokeExact(a, b, n, len, inv, product);
return Arrays.copyOf(result, len);
}
// Invoke the private constructor BigInteger(int[]).
BigInteger newBigInteger(int[] val) throws Throwable {
return (BigInteger) bigIntegerConstructorHandle.invokeExact(1, val);
}
// Get the private field BigInteger.mag
int[] mag(BigInteger n) {
try {
return (int[]) bigIntegerMagField.get(n);
} catch (Exception ex) {
throw new RuntimeException(ex);
}
}
// Montgomery multiplication
// Calculate a * b * r^-1 mod n)
//
// R is a power of the word size
// N' = R^-1 mod N
//
// T := ab
// m := (T mod R)N' mod R [so 0 <= m < R]
// t := (T + mN)/R
// if t >= N then return t - N else return t
//
BigInteger montgomeryMultiply(BigInteger a, BigInteger b, BigInteger N,
int len, BigInteger n_prime)
throws Throwable {
BigInteger T = a.multiply(b);
BigInteger R = BigInteger.ONE.shiftLeft(len*32);
BigInteger mask = R.subtract(BigInteger.ONE);
BigInteger m = (T.and(mask)).multiply(n_prime);
m = m.and(mask); // i.e. m.mod(R)
T = T.add(m.multiply(N));
T = T.shiftRight(len*32); // i.e. T.divide(R)
if (T.compareTo(N) > 0) {
T = T.subtract(N);
}
return T;
}
// Call the Montgomery multiply intrinsic.
BigInteger montgomeryMultiply(int[] a_words, int[] b_words, int[] n_words,
int len, BigInteger inv)
throws Throwable {
BigInteger t = montgomeryMultiply(
newBigInteger(a_words),
newBigInteger(b_words),
newBigInteger(n_words),
len, inv);
return t;
}
// Check that the Montgomery multiply intrinsic returns the same
// result as the longhand calculation.
void check(int[] a_words, int[] b_words, int[] n_words, int len, BigInteger inv)
throws Throwable {
BigInteger n = newBigInteger(n_words);
BigInteger slow = montgomeryMultiply(a_words, b_words, n_words, len, inv);
BigInteger fast
= newBigInteger(montgomeryMultiply
(a_words, b_words, n_words, len, inv.longValue(), null));
// The intrinsic may not return the same value as the longhand
// calculation but they must have the same residue mod N.
if (!slow.mod(n).equals(fast.mod(n))) {
throw new RuntimeException();
}
}
Random rnd = new Random(0);
// Return a random value of length <= bits in an array of even length
int[] random_val(int bits) {
int len = (bits+63)/64; // i.e. length in longs
int[] val = new int[len*2];
for (int i = 0; i < val.length; i++)
val[i] = rnd.nextInt();
int leadingZeros = 64 - (bits & 64);
if (leadingZeros >= 32) {
val[0] = 0;
val[1] &= ~(-1l << (leadingZeros & 31));
} else {
val[0] &= ~(-1l << leadingZeros);
}
return val;
}
void testOneLength(int lenInBits, int lenInInts) throws Throwable {
BigInteger mod = new BigInteger(lenInBits, 2, rnd);
BigInteger r = BigInteger.ONE.shiftLeft(lenInInts * 32);
BigInteger n_prime = mod.modInverse(r).negate();
// Make n.length even, padding with a zero if necessary
int[] n = mag(mod);
if (n.length < lenInInts) {
int[] x = new int[lenInInts];
System.arraycopy(n, 0, x, lenInInts-n.length, n.length);
n = x;
}
for (int i = 0; i < 10000; i++) {
// multiply
check(random_val(lenInBits), random_val(lenInBits), n, lenInInts, n_prime);
// square
int[] tmp = random_val(lenInBits);
check(tmp, tmp, n, lenInInts, n_prime);
}
}
// Test the Montgomery multiply intrinsic with a bunch of random
// values of varying lengths. Do this for long enough that the
// caller of the intrinsic is C2-compiled.
void testResultValues() throws Throwable {
// Test a couple of interesting edge cases.
testOneLength(1024, 32);
testOneLength(1025, 34);
for (int j = 10; j > 0; j--) {
// Construct a random prime whose length in words is even
int lenInBits = rnd.nextInt(2048) + 64;
int lenInInts = (lenInBits + 63)/64*2;
testOneLength(lenInBits, lenInInts);
}
}
// Range checks
void testOneMontgomeryMultiplyCheck(int[] a, int[] b, int[] n, int len, long inv,
int[] product, Class klass) {
try {
montgomeryMultiply(a, b, n, len, inv, product);
} catch (Throwable ex) {
if (klass.isAssignableFrom(ex.getClass()))
return;
throw new RuntimeException(klass + " expected, " + ex + " was thrown");
}
throw new RuntimeException(klass + " expected, was not thrown");
}
void testOneMontgomeryMultiplyCheck(int[] a, int[] b, BigInteger n, int len, BigInteger inv,
Class klass) {
testOneMontgomeryMultiplyCheck(a, b, mag(n), len, inv.longValue(), null, klass);
}
void testOneMontgomeryMultiplyCheck(int[] a, int[] b, BigInteger n, int len, BigInteger inv,
int[] product, Class klass) {
testOneMontgomeryMultiplyCheck(a, b, mag(n), len, inv.longValue(), product, klass);
}
void testMontgomeryMultiplyChecks() {
int[] blah = random_val(40);
int[] small = random_val(39);
BigInteger mod = new BigInteger(40*32 , 2, rnd);
BigInteger r = BigInteger.ONE.shiftLeft(40*32);
BigInteger n_prime = mod.modInverse(r).negate();
// Length out of range: square
testOneMontgomeryMultiplyCheck(blah, blah, mod, 41, n_prime, IllegalArgumentException.class);
testOneMontgomeryMultiplyCheck(blah, blah, mod, 0, n_prime, IllegalArgumentException.class);
testOneMontgomeryMultiplyCheck(blah, blah, mod, -1, n_prime, IllegalArgumentException.class);
// As above, but for multiply
testOneMontgomeryMultiplyCheck(blah, blah.clone(), mod, 41, n_prime, IllegalArgumentException.class);
testOneMontgomeryMultiplyCheck(blah, blah.clone(), mod, 0, n_prime, IllegalArgumentException.class);
testOneMontgomeryMultiplyCheck(blah, blah.clone(), mod, 0, n_prime, IllegalArgumentException.class);
// Length odd
testOneMontgomeryMultiplyCheck(small, small, mod, 39, n_prime, IllegalArgumentException.class);
testOneMontgomeryMultiplyCheck(small, small, mod, 0, n_prime, IllegalArgumentException.class);
testOneMontgomeryMultiplyCheck(small, small, mod, -1, n_prime, IllegalArgumentException.class);
// As above, but for multiply
testOneMontgomeryMultiplyCheck(small, small.clone(), mod, 39, n_prime, IllegalArgumentException.class);
testOneMontgomeryMultiplyCheck(small, small.clone(), mod, 0, n_prime, IllegalArgumentException.class);
testOneMontgomeryMultiplyCheck(small, small.clone(), mod, -1, n_prime, IllegalArgumentException.class);
// array too small
testOneMontgomeryMultiplyCheck(blah, blah, mod, 40, n_prime, small, IllegalArgumentException.class);
testOneMontgomeryMultiplyCheck(blah, blah.clone(), mod, 40, n_prime, small, IllegalArgumentException.class);
testOneMontgomeryMultiplyCheck(small, blah, mod, 40, n_prime, blah, IllegalArgumentException.class);
testOneMontgomeryMultiplyCheck(blah, small, mod, 40, n_prime, blah, IllegalArgumentException.class);
testOneMontgomeryMultiplyCheck(blah, blah, mod, 40, n_prime, small, IllegalArgumentException.class);
testOneMontgomeryMultiplyCheck(small, small, mod, 40, n_prime, blah, IllegalArgumentException.class);
}
public static void main(String args[]) {
try {
new MontgomeryMultiplyTest().testMontgomeryMultiplyChecks();
new MontgomeryMultiplyTest().testResultValues();
} catch (Throwable ex) {
throw new RuntimeException(ex);
}
}
}
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