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A simple recursive divide and conquer algorithm whose parallel variant is often used to assess scheduling overheads in dynamic task-based runtimes.
69 lines
1.8 KiB
Swift
69 lines
1.8 KiB
Swift
//===--- Integrate.swift --------------------------------------------------===//
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//
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// This source file is part of the Swift.org open source project
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//
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// Copyright (c) 2014 - 2016 Apple Inc. and the Swift project authors
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// Licensed under Apache License v2.0 with Runtime Library Exception
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//
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// See http://swift.org/LICENSE.txt for license information
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// See http://swift.org/CONTRIBUTORS.txt for the list of Swift project authors
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//
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//===----------------------------------------------------------------------===//
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import TestsUtils
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// A micro-benchmark for recursive divide and conquer problems.
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// The program performs integration via Gaussian Quadrature
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class Integrate {
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static let epsilon = 1.0e-9;
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let fun:(Double)->Double;
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init (f:(Double)->Double) {
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fun = f;
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}
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private func recEval(l:Double, fl:Double, r:Double, fr:Double, a:Double)->Double {
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let h = (r - l) / 2
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let hh = h / 2
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let c = l + h
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let fc = fun(c)
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let al = (fl + fc) * hh
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let ar = (fr + fc) * hh
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let alr = al + ar
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let error = abs(alr-a)
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if (error < Integrate.epsilon) {
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return alr
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} else {
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let a1 = recEval(c, fl:fc, r:r, fr:fr, a:ar)
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let a2 = recEval(l, fl:fl, r:c, fr:fc, a:al)
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return a1 + a2
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}
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}
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@inline(never)
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func computeArea(left:Double, right:Double)->Double {
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return recEval(left, fl:fun(left), r:right, fr:fun(right), a:0)
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}
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}
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@inline(never)
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public func run_Integrate(N: Int) {
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let obj = Integrate(f: { x in (x*x + 1.0) * x});
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let left = 0.0
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let right = 10.0
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let ref_result = 2550.0
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let bound = 0.0001
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var result = 0.0
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for _ in 1...N {
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result = obj.computeArea(left, right:right)
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if abs(result - ref_result) > bound {
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break
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}
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}
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CheckResults(abs(result - ref_result) < bound,
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"Incorrect results in Integrate: abs(\(result) - \(ref_result)) > \(bound)")
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}
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