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The GraalVM compiler and the Graal-truffle optimizer.
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package jdk.graal.compiler.lir.amd64;
import static jdk.graal.compiler.lir.amd64.AMD64LIRHelper.registersToValues;
import static jdk.vm.ci.amd64.AMD64.xmm0;
import static jdk.vm.ci.amd64.AMD64.xmm1;
import jdk.graal.compiler.core.common.LIRKind;
import jdk.graal.compiler.lir.LIRInstructionClass;
import jdk.graal.compiler.lir.Variable;
import jdk.graal.compiler.lir.gen.LIRGenerator;
import jdk.vm.ci.amd64.AMD64Kind;
import jdk.vm.ci.code.Register;
import jdk.vm.ci.code.RegisterValue;
import jdk.vm.ci.meta.Value;
/**
* AMD64MathIntrinsicBinaryOp assumes that the input values are stored in the xmm0 and xmm1
* registers, and it will emit the output value into the xmm0 register.
* {@link #emitLIRWrapper(LIRGenerator, Value, Value)} is provided for emitting necessary mov LIRs
* before and after this LIR instruction.
*/
public abstract class AMD64MathIntrinsicBinaryOp extends AMD64LIRInstruction {
@Def protected Value output;
@Use protected Value input0;
@Use protected Value input1;
@Temp protected Value[] temps;
public AMD64MathIntrinsicBinaryOp(LIRInstructionClass extends AMD64MathIntrinsicBinaryOp> type, Register... registers) {
super(type);
input0 = xmm0.asValue(LIRKind.value(AMD64Kind.DOUBLE));
input1 = xmm1.asValue(LIRKind.value(AMD64Kind.DOUBLE));
output = xmm0.asValue(LIRKind.value(AMD64Kind.DOUBLE));
temps = registersToValues(registers);
}
public final Variable emitLIRWrapper(LIRGenerator gen, Value x, Value y) {
LIRKind kind = LIRKind.combine(x, y);
RegisterValue xmm0Value = xmm0.asValue(kind);
gen.emitMove(xmm0Value, x);
RegisterValue xmm1Value = xmm1.asValue(kind);
gen.emitMove(xmm1Value, y);
gen.append(this);
Variable result = gen.newVariable(kind);
gen.emitMove(result, xmm0Value);
return result;
}
@Override
public boolean modifiesStackPointer() {
return true;
}
}
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