通信学报 ›› 2013, Vol. 34 ›› Issue (2): 40-55.doi: 10.3969/j.issn.1000-436x.2013.02.006
陈乃金1,2,江建慧1
出版日期:
2013-02-25
发布日期:
2017-07-17
基金资助:
Nai-jin CHEN1,2,Jian-hui JIANG1
Online:
2013-02-25
Published:
2017-07-17
Supported by:
摘要:
摘 要:针对可重构计算机系统配置次数(划分块数)的最小化问题,提出了一种融合面积估算和多目标优化的硬件任务划分算法。该算法每次划分均进行硬件资源面积的估算,并且通过充分考虑可重构资源的使用、一个数据流图所有划分块执行延迟总和、划分模块间边数等因素构造了新的探测函数prior_assigned(),该函数能够计算每个就绪节点的优先权值,新算法通过该值能动态调整就绪列表任务节点的调度次序。实验结果表明,与现有的层划分、簇划分、增强静态列表、多目标时域划分、簇层次敏感等5种划分算法相比,该算法能获得最少的模块数,并且随着可重构处理单元面积的增大,除层划分算法之外,其执行延迟的均值也是最小的。
陈乃金,江建慧. 融合面积估算和多目标优化的硬件任务划分算法[J]. 通信学报, 2013, 34(2): 40-55.
Nai-jin CHEN,Jian-hui JIANG. Hardware-task partitioning algorithm merged area estimation with multi-objective optimization[J]. Journal on Communications, 2013, 34(2): 40-55.
表2
划分基准程序集"
划分用例 | 操作单元数量 | |||||||
总数 | 加法 | 减法 | 乘法 | 取模 | 逻辑比较 | 异或 | 左移 | |
SODE | 11 | 2 | 2 | 6 | — | 1 | — | — |
FEAL | 34 | 6 | — | — | 4 | — | 20 | 4 |
FFT4 | 12 | 4 | 4 | 4 | — | — | — | — |
FFT8 | 36 | 12 | 12 | 12 | — | — | — | — |
EWF | 34 | 28 | — | 6 | — | — | — | — |
EWF6 | 204 | 168 | — | 36 | — | — | — | — |
FDCT | 42 | 13 | 13 | 16 | — | — | — | — |
FDCT6 | 252 | 78 | 78 | 96 | — | — | — | — |
MATRIX4 | 112 | 48 | — | 64 | — | — | — | — |
DCT8 | 90 | 40 | 16 | 34 | — | — | — | — |
MEDIAN | 19 | — | — | — | — | 19 | — | — |
BTREE32 | 31 | — | — | — | — | 31 | — | — |
表3
ARPU=56、64、75时AEMO1与AEMO的划分结果"
划分用例 | M | N | SD | ||||||
AEMO1 | AEMO | D% | AEMO1 | AEMO | D% | AEMO1 | AEMO | D% | |
SODE | 544 | 444 | -20 0 0 | 455 | 355 | -25 0 0 | 13 11 10 | 13 11 10 | 000 |
FEAL | 766 | 765 | 0 0 -17 | 15 14 13 | 15 12 15 | 0 -14 15 | 29 25 27 | 28 28 26 | -3 12 -4 |
FFT4 | 433 | 433 | 000 | 677 | 477 | -33 0 0 | 996 | 10 9 6 | 11 0 0 |
FFT8 | 11 9 8 | 10 9 8 | -90 0 | 20 23 21 | 26 24 20 | 30 4 -5 | 31 27 23 | 19 25 22 | -39 -7 -4 |
EWF | 765 | 655 | -14 -17 0 | 18 15 16 | 19 16 13 | 6 7 -19 | 30 25 25 | 26 25 21 | -13 0 -16 |
EWF6 | 38 29 25 | 5 29 25 | -80 0 | 109 97 102 | 115 114 102 | 6 18 0 | 150 118 107 | 111 96 94 | -26 -19 -12 |
FDCT | 13 12 10 | 13 12 10 | 000 | 26 25 20 | 30 26 24 | 15 4 20 | 26 28 30 | 30 31 29 | -15 11 -3 |
FDCT6 | 75 72 60 | 75 68 56 | 0 -6 -7 | 52 155 118 | 163 168 155 | 7 8 31 | 186 168 173 | 192 170 144 | 3 1 -17 |
MATRIX4 | 37 33 32 | 37 33 32 | 000 | 76 48 36 | 75 48 36 | -10 0 | 79 98 109 | 80 98 109 | 100 |
DCT8 | 30 22 21 | 25 22 19 | -17 0 -10 | 51 43 42 | 60 47 47 | 18 9 12 | 82 64 67 | 64 67 61 | -22 5 -9 |
MEDIAN | 775 | 775 | 000 | 10 16 12 | 11 14 12 | -10 -13 0 | 18 9 13 | 17 11 13 | -6 -22 0 |
BTREE32 | 11 11 8 | 11 11 8 | 000 | 10 29 16 | 10 28 16 | 0 -3 0 | 21 12 17 | 21 13 17 | 080 |
平均D% | — — — | — — — | -14 -12 -11 | — — — | — — — | 129 | — — — | — — — | -11 -1 -9 |
表4
ARPU=56、64、75时AEMO算法与LBP算法的划分结果"
划分用例 | M | N | SD | ||||||
LBP | AEMO | D% | LBP | AEMO | D% | LBP | AEMO | D% | |
SODE | 6 5 5 | 4 4 4 | -33 -20 -20 | 7 7 7 | 3 5 5 | -57 -29 -29 | 10 8 8 | 13 11 10 | 30 38 25 |
FEAL | 9 8 7 | 7 6 5 | -22 -25 -29 | 21 21 19 | 15 12 15 | -29 -43 -37 | 24 22 23 | 28 28 26 | 17 27 30 |
FFT4 | 5 4 4 | 4 3 3 | -20 -25 -25 | 8 6 7 | 4 7 7 | -50 -17 -14 | 6 8 6 | 10 9 6 | 67 13 33 |
FFT8 | 12 11 10 | 10 9 8 | -17 -18 -20 | 28 28 28 | 26 24 20 | -7 -14 -29 | 18 18 15 | 19 25 22 | 6 39 47 |
EWF | 9 7 6 | 6 5 5 | -33 -29 -17 | 24 20 15 | 19 16 13 | -21 -20 -20 | 23 19 18 | 26 25 21 | 13 32 22 |
EWF6 | 42 32 28 | 35 29 25 | -17 -9 -11 | 172 174 166 | 115 114 102 | -33 -35 -41 | 73 55 51 | 111 96 94 | 52 75 88 |
FDCT | 15 13 13 | 13 12 10 | -13 -8 -23 | 34 33 33 | 30 26 24 | -12 -21 -33 | 24 22 22 | 30 31 29 | 25 41 46 |
FDCT6 | 79 74 66 | 75 68 56 | -5 -8 -15 | 204 204 204 | 163 168 155 | -20 -18 -27 | 129 127 115 | 192 170 144 | 49 34 35 |
MATRIX4 | 38 37 36 | 37 33 32 | -3 -11 -11 | 96 96 95 | 75 48 36 | -22 -50 -62 | 70 68 68 | 80 98 109 | 14 44 60 |
DCT8 | 27 25 23 | 25 22 19 | -7 -12 -17 | 79 82 77 | 60 47 47 | -24 -43 -33 | 47 42 41 | 64 67 61 | 36 60 29 |
MEDIAN | 8 8 6 | 7 7 5 | -13 -13 -17 | 15 15 14 | 11 14 12 | -27 7 -21 | 11 11 11 | 17 11 13 | 55 0 18 |
BTREE32 | 12 12 9 | 11 11 8 | -8 -8 -11 | 29 29 28 | 10 28 16 | -66 -3 -43 | 12 12 9 | 21 13 17 | 75 8 89 |
平均D% | — — — | — — — | -16 -16 -18 | — — — | — — — | -31 -24 -32 | — — — | — — — | 37 37 44 |
表5
ARPU=56、64、75时AEMO算法与CBP算法的划分结果"
划分用例 | M | N | SD | ||||||
CBP | AEMO | D% | CBP | AEMO | D% | CBP | AEMO | D% | |
SODE | 5 5 5 | 4 4 4 | -20 -20 -20 | 334 | 3 5 5 | 0 67 25 | 13 13 10 | 13 11 10 | 0 -15 0 |
FEAL | 8 8 7 | 7 6 5 | -13 -25 -29 | 16 14 13 | 15 12 15 | -6 -14 15 | 30 31 29 | 28 28 26 | -7 -10 -10 |
FFT4 | 5 5 4 | 4 3 3 | -20 -40 -25 | 545 | 4 7 7 | -20 75 40 | 11 13 10 | 10 9 6 | -9 -31 -40 |
FFT8 | 12 12 10 | 10 9 8 | -17 -25 -20 | 20 18 17 | 26 24 20 | 30 33 18 | 33 40 30 | 19 25 22 | -42 -38 -27 |
EWF | 8 7 6 | 6 5 5 | -25 -29 -17 | 15 10 10 | 19 16 13 | 27 60 30 | 32 35 29 | 26 25 21 | -19 -29 -28 |
EWF6 | 38 32 28 | 35 29 25 | -8 -9 -11 | 90 70 70 | 115 114 102 | 28 63 46 | 177 190 174 | 111 96 94 | -37 -50 -46 |
FDCT | 15 13 12 | 13 12 10 | -13 -8 -17 | 28 26 23 | 30 26 24 | 7 0 4 | 40 37 34 | 30 31 29 | -25 -16 -15 |
FDCT6 | 85 73 62 | 75 68 56 | -12 -7 -10 | 160 158 138 | 163 168 155 | 2 6 12 | 235 213 199 | 192 170 144 | -18 -20 -28 |
MATRIX4 | 39 35 34 | 37 33 32 | -5 -6 -6 | 63 47 51 | 75 48 36 | 19 2 29 | 89 102 108 | 80 98 109 | -10 -4 1 |
DCT8 | 30 23 23 | 25 22 19 | -17 -4 -17 | 42 38 33 | 60 47 47 | 43 24 42 | 95 80 81 | 64 67 61 | -33 -16 -25 |
MEDIAN | 8 8 6 | 7 7 5 | -13 -13 -17 | 11 11 11 | 11 14 12 | 0 27 9 | 17 17 15 | 17 11 13 | 0 -35 -13 |
BTREE32 | 12 12 9 | 11 11 8 | -8 -8 -11 | 10 10 17 | 10 28 16 | 0 180 6 | 21 21 19 | 21 13 17 | 0 -38 -11 |
平均D% | — — — | — — — | -14 -16 -17 | — — — | — — — | 14 48 23 | — — — | — — — | -22 -25 -22 |
表6
ARPU=56、64、75时AEMO算法与ESL算法的划分结果"
划分用例 | M | N | SD | ||||||
ESL | AEMO | D% | ESL | AEMO | D% | ESL | AEMO | D% | |
SODE | 5 4 4 | 4 4 4 | -20 0 0 | 5 5 5 | 3 5 5 | -40 0 0 | 13 12 11 | 13 11 10 | 0 -8 -9 |
FEAL | 7 6 5 | 7 6 5 | 0 0 0 | 14 13 10 | 15 12 15 | 7 -8 50 | 32 30 30 | 28 28 26 | -13 -7 -13 |
FFT4 | 4 3 3 | 4 3 3 | 0 0 0 | 5 3 3 | 4 7 7 | -20 133 133 | 10 13 12 | 10 9 6 | 0 -31 -50 |
FFT8 | 12 10 8 | 10 9 8 | -17 -10 0 | 20 20 15 | 26 24 20 | 30 20 33 | 34 38 38 | 19 25 22 | -44 -34 -42 |
EWF | 6 6 5 | 6 5 5 | 0 -17 0 | 15 13 13 | 19 16 13 | 27 23 0 | 30 26 31 | 26 25 21 | -13 -4 -32 |
EWF6 | 36 31 25 | 35 29 25 | -3 -7 0 | 78 88 76 | 15 114 102 | 47 30 34 | 177 158 148 | 111 96 94 | -37 -39 -37 |
FDCT | 14 12 10 | 13 12 10 | -70 0 | 26 26 25 | 30 26 24 | 15 0 -4 | 40 34 35 | 30 31 29 | -25 -9 -17 |
FDCT6 | 77 68 56 | 75 68 56 | -30 0 | 161 158 142 | 163 168 155 | 1 6 9 | 219 194 187 | 192 170 144 | -12 -12 -23 |
MATRIX4 | 48 33 32 | 37 33 32 | -23 0 0 | 61 51 46 | 75 48 36 | 23 -6 -22 | 128 104 106 | 80 98 109 | -38 -6 2.8 |
DCT8 | 27 23 20 | 25 22 19 | -7 -4 -5 | 49 48 41 | 60 47 47 | 22 -2 15 | 84 76 73 | 64 67 61 | -24 -12 -16 |
MEDIAN | 7 7 5 | 7 7 5 | 0 0 0 | 12 12 11 | 11 14 12 | -8 17 9 | 16 16 15 | 17 11 13 | 6 -31 -13 |
BTREE32 | 11 11 8 | 11 11 8 | 0 0 0 | 18 18 17 | 10 28 16 | -44 56 -6 | 19 19 19 | 21 13 17 | 11 -32 -11 |
平均D% | — — — | — — — | -11 -9 -5 | — — — | — — — | 5 27 25 | — — — | — — — | -19 -19 -22 |
表7
ARPU=56、64、75时AEMO算法与MOTP算法的划分结果"
划分用例 | M | N | SD | ||||||
MOTP | AEMO | D% | MOTP | AEMO | D% | MOTP | AEMO | D% | |
SODE | 5 4 4 | 4 4 4 | -20 0 0 | 7 5 5 | 3 5 5 | -57 0 0 | 10 10 9 | 13 11 10 | 30 10 11 |
FEAL | 7 6 6 | 7 6 5 | 0 0 -17 | 14 14 12 | 15 12 15 | 7 -14 25 | 31 29 32 | 28 28 26 | -10 -3 -19 |
FFT4 | 4 4 3 | 4 3 3 | 0 -25 0 | 7 5 5 | 4 7 7 | -43 40 40 | 9 11 11 | 10 9 6 | 11 -18 -46 |
FFT8 | 11 10 8 | 10 9 8 | -9 -10 0 | 26 26 21 | 26 24 20 | 0 -8 -5 | 23 27 23 | 19 25 22 | -17 -7 -4 |
EWF | 7 6 5 | 6 5 5 | -14 -17 0 | 17 15 14 | 19 16 13 | 12 7 -7 | 29 29 22 | 26 25 21 | -10 -14 -5 |
EWF6 | 35 29 25 | 35 29 25 | 0 0 0 | 105 101 87 | 115 114 102 | 10 13 17 | 134 129 124 | 111 96 94 | -17 -26 -24 |
FDCT | 13 12 11 | 13 12 10 | 0 0 -9 | 29 28 24 | 30 26 24 | 3 -7 0 | 29 32 32 | 30 31 29 | 3 -3 -9 |
FDCT6 | 75 68 59 | 75 68 56 | 0 0 -5 | 189 175 153 | 163 168 155 | -14 -4 1 | 157 170 168 | 192 170 144 | 22 0 -14 |
MATRIX4 | 38 33 32 | 37 33 32 | -3 0 0 | 90 36 36 | 75 48 36 | -17 33 0 | 77 97 97 | 80 98 109 | 4 1 12 |
DCT8 | 26 23 20 | 25 22 19 | -4 -4 -5 | 75 58 44 | 60 47 47 | -20 -19 7 | 48 56 65 | 64 67 61 | 33 20 -6 |
MEDIAN | 7 7 5 | 7 7 5 | 0 0 0 | 16 16 12 | 11 14 12 | -31 -13 0 | 12 12 14 | 17 11 13 | 42 -8 -7 |
BTREE32 | 11 11 8 | 11 11 8 | 0 0 0 | 29 29 15 | 10 28 16 | -66 -3 7 | 12 12 17 | 21 13 17 | 75 8 0 |
平均D% | — — — | — — — | -10 -14 -9 | — — — | — — — | -20 2 11 | — — — | — — — | 14 -4 -10 |
表8
ARPU=56、64、75时AEMO算法与LSCBP算法的划分结果"
划分用例 | M | N | SD | ||||||
LSCBP | AEMO | D% | LSCBP | AEMO | D% | LSCBP | AEMO | D% | |
SODE | 6 5 5 | 4 4 4 | -33 -20 -20 | 7 5 4 | 3 5 5 | -57 0 25 | 10 12 13 | 13 11 10 | 30 -8 -23 |
FEAL | 8 7 6 | 7 6 5 | -13 -14 -17 | 15 11 13 | 15 12 15 | 0 9 15 | 30 29 26 | 28 28 26 | -7 -3 0 |
FFT4 | 5 5 4 | 4 3 3 | -20 -40 -25 | 6 5 5 | 4 7 7 | -33 40 40 | 10 10 9 | 10 9 6 | 0 -10 -33 |
FFT8 | 12 11 10 | 10 9 8 | -17 -18 -20 | 23 23 21 | 26 24 20 | 13 4 -5 | 24 26 26 | 19 25 22 | -21 -4 -15 |
EWF | 8 6 6 | 6 5 5 | -25 -17 -17 | 20 20 17 | 19 16 13 | -5 -20 -24 | 25 22 23 | 26 25 21 | 4 14 -9 |
EWF6 | 36 31 26 | 35 29 25 | -3 -7 -4 | 118 113 106 | 115 114 102 | -3 1 -4 | 139 130 128 | 111 96 94 | -20 -26 -27 |
FDCT | 15 13 11 | 13 12 10 | -13 -8 -9 | 23 25 22 | 30 26 24 | 30 4 9 | 38 33 31 | 30 31 29 | -21 -6 -7 |
FDCT6 | 78 69 58 | 75 68 56 | -4 -1 -3 | 168 152 150 | 163 168 155 | -3 11 3 | 195 190 169 | 192 170 144 | -2 -11 -15 |
MATRIX4 | 43 35 34 | 37 33 32 | -14 -6 -6 | 56 50 51 | 75 48 36 | 34 -4 -29 | 118 104 108 | 80 98 109 | -32 -6 1 |
DCT8 | 27 23 21 | 25 22 19 | -7 -4 -10 | 53 43 44 | 60 47 47 | 13 9 7 | 77 79 67 | 64 67 61 | -17 -15 -9 |
MEDIAN | 8 8 6 | 7 7 5 | -13 -13 -17 | 12 12 11 | 11 14 12 | -8 17 9 | 15 15 13 | 17 11 13 | 13 -27 0 |
BTREE32 | 12 12 9 | 11 11 8 | -8 -8 -11 | 18 18 17 | 10 28 16 | -44 56 -6 | 19 19 19 | 21 13 17 | 11 -32 -11 |
平均D% | — — — | — — — | -14 -13 -13 | — — — | — — — | -6 12 3 | — — — | — — — | -6 -11 -15 |
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