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tvmet/loop/Gemtv.h@90:e4164bb8c60e, 2013-04-17 (annotated)

Committer:
madcowswe
Date:
Wed Apr 17 23:16:25 2013 +0000
Revision:
90:e4164bb8c60e
Parent:
15:9c5aaeda36dc 
final state at end of competition. Includes avoid wooden team hack

Who changed what in which revision?

UserRevisionLine numberNew contents of line
madcowswe 15:9c5aaeda36dc 1 /*
madcowswe 15:9c5aaeda36dc 2 * Tiny Vector Matrix Library
madcowswe 15:9c5aaeda36dc 3 * Dense Vector Matrix Libary of Tiny size using Expression Templates
madcowswe 15:9c5aaeda36dc 4 *
madcowswe 15:9c5aaeda36dc 5 * Copyright (C) 2001 - 2007 Olaf Petzold <opetzold@users.sourceforge.net>
madcowswe 15:9c5aaeda36dc 6 *
madcowswe 15:9c5aaeda36dc 7 * This library is free software; you can redistribute it and/or
madcowswe 15:9c5aaeda36dc 8 * modify it under the terms of the GNU Lesser General Public
madcowswe 15:9c5aaeda36dc 9 * License as published by the Free Software Foundation; either
madcowswe 15:9c5aaeda36dc 10 * version 2.1 of the License, or (at your option) any later version.
madcowswe 15:9c5aaeda36dc 11 *
madcowswe 15:9c5aaeda36dc 12 * This library is distributed in the hope that it will be useful,
madcowswe 15:9c5aaeda36dc 13 * but WITHOUT ANY WARRANTY; without even the implied warranty of
madcowswe 15:9c5aaeda36dc 14 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
madcowswe 15:9c5aaeda36dc 15 * Lesser General Public License for more details.
madcowswe 15:9c5aaeda36dc 16 *
madcowswe 15:9c5aaeda36dc 17 * You should have received a copy of the GNU Lesser General Public
madcowswe 15:9c5aaeda36dc 18 * License along with this library; if not, write to the Free Software
madcowswe 15:9c5aaeda36dc 19 * Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
madcowswe 15:9c5aaeda36dc 20 *
madcowswe 15:9c5aaeda36dc 21 * $Id: Gemtv.h,v 1.7 2007-06-23 15:58:59 opetzold Exp $
madcowswe 15:9c5aaeda36dc 22 */
madcowswe 15:9c5aaeda36dc 23
madcowswe 15:9c5aaeda36dc 24 #ifndef TVMET_LOOP_GEMTV_H
madcowswe 15:9c5aaeda36dc 25 #define TVMET_LOOP_GEMTV_H
madcowswe 15:9c5aaeda36dc 26
madcowswe 15:9c5aaeda36dc 27 namespace tvmet {
madcowswe 15:9c5aaeda36dc 28
madcowswe 15:9c5aaeda36dc 29 namespace loop {
madcowswe 15:9c5aaeda36dc 30
madcowswe 15:9c5aaeda36dc 31
madcowswe 15:9c5aaeda36dc 32 /**
madcowswe 15:9c5aaeda36dc 33 * \class gemtv Gemtv.h "tvmet/loop/Gemtv.h"
madcowswe 15:9c5aaeda36dc 34 * \brief class for transposed(matrix)-vector product using loop unrolling.
madcowswe 15:9c5aaeda36dc 35 * using formula
madcowswe 15:9c5aaeda36dc 36 * \f[
madcowswe 15:9c5aaeda36dc 37 * M^T\,v
madcowswe 15:9c5aaeda36dc 38 * \f]
madcowswe 15:9c5aaeda36dc 39 * \par Example:
madcowswe 15:9c5aaeda36dc 40 * \code
madcowswe 15:9c5aaeda36dc 41 * template<class T, std::size_t Rows, std::size_t Cols>
madcowswe 15:9c5aaeda36dc 42 * inline
madcowswe 15:9c5aaeda36dc 43 * void
madcowswe 15:9c5aaeda36dc 44 * prod(const Matrix<T, Rows, Cols>& lhs, const Vector<T, Rows>& rhs,
madcowswe 15:9c5aaeda36dc 45 * Vector<T, Cols>& dest)
madcowswe 15:9c5aaeda36dc 46 * {
madcowswe 15:9c5aaeda36dc 47 * for (std::size_t i = 0; i != Cols; ++i) {
madcowswe 15:9c5aaeda36dc 48 * dest(i) = tvmet::loop::gemtv<Rows, Cols>().prod(lhs, rhs, i);
madcowswe 15:9c5aaeda36dc 49 * }
madcowswe 15:9c5aaeda36dc 50 * }
madcowswe 15:9c5aaeda36dc 51 * \endcode
madcowswe 15:9c5aaeda36dc 52 */
madcowswe 15:9c5aaeda36dc 53 template<std::size_t Rows, std::size_t Cols>
madcowswe 15:9c5aaeda36dc 54 class gemtv
madcowswe 15:9c5aaeda36dc 55 {
madcowswe 15:9c5aaeda36dc 56 gemtv(const gemtv&);
madcowswe 15:9c5aaeda36dc 57 gemtv& operator=(const gemtv&);
madcowswe 15:9c5aaeda36dc 58
madcowswe 15:9c5aaeda36dc 59 private:
madcowswe 15:9c5aaeda36dc 60 enum {
madcowswe 15:9c5aaeda36dc 61 count = Rows,
madcowswe 15:9c5aaeda36dc 62 N = (count+7)/8
madcowswe 15:9c5aaeda36dc 63 };
madcowswe 15:9c5aaeda36dc 64
madcowswe 15:9c5aaeda36dc 65 public:
madcowswe 15:9c5aaeda36dc 66 gemtv() { }
madcowswe 15:9c5aaeda36dc 67
madcowswe 15:9c5aaeda36dc 68 public:
madcowswe 15:9c5aaeda36dc 69 template<class E1, class E2>
madcowswe 15:9c5aaeda36dc 70 static inline
madcowswe 15:9c5aaeda36dc 71 typename PromoteTraits<
madcowswe 15:9c5aaeda36dc 72 typename E1::value_type,
madcowswe 15:9c5aaeda36dc 73 typename E2::value_type
madcowswe 15:9c5aaeda36dc 74 >::value_type
madcowswe 15:9c5aaeda36dc 75 prod(const E1& lhs, const E2& rhs, std::size_t i) {
madcowswe 15:9c5aaeda36dc 76 typename PromoteTraits<
madcowswe 15:9c5aaeda36dc 77 typename E1::value_type,
madcowswe 15:9c5aaeda36dc 78 typename E2::value_type
madcowswe 15:9c5aaeda36dc 79 >::value_type sum(0);
madcowswe 15:9c5aaeda36dc 80 std::size_t j(0);
madcowswe 15:9c5aaeda36dc 81 std::size_t n(N);
madcowswe 15:9c5aaeda36dc 82
madcowswe 15:9c5aaeda36dc 83 // Duff's device
madcowswe 15:9c5aaeda36dc 84 switch(count % 8) {
madcowswe 15:9c5aaeda36dc 85 case 0: do { sum += lhs(j, i) * rhs(j); ++j;
madcowswe 15:9c5aaeda36dc 86 case 7: sum += lhs(j, i) * rhs(j); ++j;
madcowswe 15:9c5aaeda36dc 87 case 6: sum += lhs(j, i) * rhs(j); ++j;
madcowswe 15:9c5aaeda36dc 88 case 5: sum += lhs(j, i) * rhs(j); ++j;
madcowswe 15:9c5aaeda36dc 89 case 4: sum += lhs(j, i) * rhs(j); ++j;
madcowswe 15:9c5aaeda36dc 90 case 3: sum += lhs(j, i) * rhs(j); ++j;
madcowswe 15:9c5aaeda36dc 91 case 2: sum += lhs(j, i) * rhs(j); ++j;
madcowswe 15:9c5aaeda36dc 92 case 1: sum += lhs(j, i) * rhs(j); ++j;
madcowswe 15:9c5aaeda36dc 93 } while(--n != 0);
madcowswe 15:9c5aaeda36dc 94 }
madcowswe 15:9c5aaeda36dc 95
madcowswe 15:9c5aaeda36dc 96 return sum;
madcowswe 15:9c5aaeda36dc 97 }
madcowswe 15:9c5aaeda36dc 98 };
madcowswe 15:9c5aaeda36dc 99
madcowswe 15:9c5aaeda36dc 100
madcowswe 15:9c5aaeda36dc 101 } // namespace loop
madcowswe 15:9c5aaeda36dc 102
madcowswe 15:9c5aaeda36dc 103 } // namespace tvmet
madcowswe 15:9c5aaeda36dc 104
madcowswe 15:9c5aaeda36dc 105 #endif /* TVMET_LOOP_GEMTV_H */
madcowswe 15:9c5aaeda36dc 106
madcowswe 15:9c5aaeda36dc 107 // Local Variables:
madcowswe 15:9c5aaeda36dc 108 // mode:C++
madcowswe 15:9c5aaeda36dc 109 // tab-width:8
madcowswe 15:9c5aaeda36dc 110 // End: