bucketHead[vsw] = w

		linkOrig(parent[w], w, ancestor)

		// step3 in TOPLAS paper
		for v := bucketHead[parent[w]]; v != 0; v = bucketLink[v] {
			u := evalOrig(v, ancestor, semi, label)
			if semi[u] < semi[v] {
				idom[v] = fromID[u]
			} else {
				idom[v] = fromID[parent[w]]
			}
		}
	}
	// step 4 in toplas paper
	for i := ID(2); i <= n; i++ {
		w := vertex[i]
		if idom[w].ID != vertex[semi[w]] {

// license that can be found in the LICENSE file.

#include "textflag.h"

// The method is based on a paper by Naoki Shibata: "Efficient evaluation
// methods of elementary functions suitable for SIMD computation", Proc.
// of International Supercomputing Conference 2010 (ISC'10), pp. 25 -- 32
// (May 2010). The paper is available at
// https://link.springer.com/article/10.1007/s00450-010-0108-2
//

// server requests".  One QueueSet is a set of queues operating
// according to this technique.
//
// Fair queuing for server requests is inspired by the fair queuing
// technique from the world of networking.  You can find a good paper
// on that at https://dl.acm.org/citation.cfm?doid=75247.75248 or
// http://people.csail.mit.edu/imcgraw/links/research/pubs/networks/WFQ.pdf
// and there is an implementation outline in the Wikipedia article at

It's a tiny change to the code and not completely disgusting. - Bob Manchek
size:  a.out:  bad magic
The major problem is with sendmail.  -Mark Horton
Give me a rock, paper and scissors and I will move the world.  CCFestoon
If the enemy is within range, then so are you.
It's well we cannot hear the screams/That we create in others' dreams.

		if n > max {
			return score{v, p}
		}
		return score{0, v + p}
	}

	// The rest of this function is “The Basic Algorithm” from
	// Hirschberg and Larmore's conference paper,
	// using the same names as in the paper.
	f := []score{{0, 0}}
	g := func(i, j int) score { return add(f[i], weight(i, j)) }

	bridge := func(a, b, c int) bool {
		k := c + sort.Search(len(words)+1-c, func(k int) bool {
			k += c

	MOVL DX, retC+104(FP)
	RET

// CRC32 polynomial data
//
// These constants are lifted from the
// Linux kernel, since they avoid the costly
// PSHUFB 16 byte reversal proposed in the
// original Intel paper.
DATA r2r1<>+0(SB)/8, $0x154442bd4
DATA r2r1<>+8(SB)/8, $0x1c6e41596
DATA r4r3<>+0(SB)/8, $0x1751997d0
DATA r4r3<>+8(SB)/8, $0x0ccaa009e
DATA rupoly<>+0(SB)/8, $0x1db710641
DATA rupoly<>+8(SB)/8, $0x1f7011641

authors:
  - family-names: Abadi
    given-names: Martín
  - family-names: Agarwal

#include "textflag.h"

// For more details about how various memory models are
// enforced on POWER, the following paper provides more
// details about how they enforce C/C++ like models. This
// gives context about why the strange looking code
// sequences below work.
//
// http://www.rdrop.com/users/paulmck/scalability/paper/N2745r.2011.03.04a.html

// uint32 ·Load(uint32 volatile* ptr)
TEXT ·Load(SB),NOSPLIT|NOFRAME,$-8-12

package rand

import (
	"math"
)

/*
 * Normal distribution
 *
 * See "The Ziggurat Method for Generating Random Variables"
 * (Marsaglia & Tsang, 2000)
 * http://www.jstatsoft.org/v05/i08/paper [pdf]
 */

const (
	rn = 3.442619855899
)

func absInt32(i int32) uint32 {
	if i < 0 {
		return uint32(-i)
	}
	return uint32(i)
}

// NormFloat64 returns a normally distributed float64 in

package rand

import (
	"math"
)

/*
 * Normal distribution
 *
 * See "The Ziggurat Method for Generating Random Variables"
 * (Marsaglia & Tsang, 2000)
 * http://www.jstatsoft.org/v05/i08/paper [pdf]
 */

const (
	rn = 3.442619855899
)

func absInt32(i int32) uint32 {
	if i < 0 {
		return uint32(-i)
	}
	return uint32(i)
}

// NormFloat64 returns a normally distributed float64 in