// Copyright 2015 The Go Authors. All rights reserved.
// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.
package runtime
// fastlog2 implements a fast approximation to the base 2 log of a
// float64. This is used to compute a geometric distribution for heap
// sampling, without introducing dependencies into package math. This
// uses a very rough approximation using the float64 exponent and the
// first 25 bits of the mantissa. The top 5 bits of the mantissa are
// used to load limits from a table of constants and the rest are used
// to scale linearly between them.
func fastlog2(x float64) float64 {
const fastlogScaleBits = 20
const fastlogScaleRatio = 1.0 / (1 << fastlogScaleBits)
xBits := float64bits(x)
// Extract the exponent from the IEEE float64, and index a constant
// table with the first 10 bits from the mantissa.
xExp := int64((xBits>>52)&0x7FF) - 1023
xManIndex := (xBits >> (52 - fastlogNumBits)) % (1 << fastlogNumBits)
xManScale := (xBits >> (52 - fastlogNumBits - fastlogScaleBits)) % (1 << fastlogScaleBits)
low, high := fastlog2Table[xManIndex], fastlog2Table[xManIndex+1]
return float64(xExp) + low + (high-low)*float64(xManScale)*fastlogScaleRatio
}
|
The pages are generated with Golds v0.4.2. (GOOS=darwin GOARCH=amd64)
Golds is a Go 101 project developed by Tapir Liu.
PR and bug reports are welcome and can be submitted to the issue list.
Please follow @Go100and1 (reachable from the left QR code) to get the latest news of Golds. |