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Part 1: Document Description
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Citation |
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Title: |
Replication Data for: TAB: Unified and Optimized Ternary, Binary and Mixed-Precision Neural Network Inference on the Edge |
Identification Number: |
doi:10.21979/N9/RZ75BY |
Distributor: |
DR-NTU (Data) |
Date of Distribution: |
2022-05-10 |
Version: |
1 |
Bibliographic Citation: |
Zhu, Shien; Duong, H. K. Luan; Liu, Weichen, 2022, "Replication Data for: TAB: Unified and Optimized Ternary, Binary and Mixed-Precision Neural Network Inference on the Edge", https://doi.org/10.21979/N9/RZ75BY, DR-NTU (Data), V1, UNF:6:Md7is6scgmHZ4O3PtUuAOg== [fileUNF] |
Citation |
|
Title: |
Replication Data for: TAB: Unified and Optimized Ternary, Binary and Mixed-Precision Neural Network Inference on the Edge |
Identification Number: |
doi:10.21979/N9/RZ75BY |
Authoring Entity: |
Zhu, Shien (Nanyang Technological University) |
Duong, H. K. Luan (Nanyang Technological University) |
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Liu, Weichen (Nanyang Technological University) |
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Software used in Production: |
Visual Studio 2019 |
Grant Number: |
Academic Research Fund Tier 2 (MOE2019-T2-1-071) |
Grant Number: |
Academic Research Fund Tier 1 (MOE2019-T1-001-072) |
Grant Number: |
NAP (M4082282) |
Grant Number: |
SUG (M4082087) |
Distributor: |
DR-NTU (Data) |
Access Authority: |
Zhu, Shien |
Depositor: |
ZHU SHIEN |
Date of Deposit: |
2022-05-10 |
Holdings Information: |
https://doi.org/10.21979/N9/RZ75BY |
Study Scope |
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Keywords: |
Computer and Information Science, Computer and Information Science, Convolutional Neural networks, Edge Computing |
Abstract: |
The TAB experiment code running on ARM CPU, x86 CPU, and Nvidia GPU. |
Kind of Data: |
C++ code, experiment records |
Methodology and Processing |
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Sources Statement |
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Data Access |
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Other Study Description Materials |
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Related Publications |
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Citation |
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Identification Number: |
10.1145/3508390 |
Bibliographic Citation: |
Zhu, S., Duong, L. H. K., & Liu, W. (2022). TAB: Unified and Optimized Ternary, Binary and Mixed-Precision Neural Network Inference on the Edge. ACM Trans. Embed. Comput. Syst. |
Citation |
|
Identification Number: |
10356/155648 |
Bibliographic Citation: |
Zhu, S., Duong, L. H. K. & Liu, W. (2022). TAB : unified and optimized ternary, binary and mixed-precision neural network inference on the edge. ACM Transactions On Embedded Computing Systems. |
File Description--f89726 |
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File: Benchamrking ResNet-18 Darknet-19 CPU 8565U Img2Row_GEMM_NHWCB With_OMP_SIMDbs_1_2021_11_15_12_20.tab |
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Notes: |
UNF:6:c7cwoVRHIaD87thHclpqLA== |
File Description--f89676 |
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File: Benchamrking ResNet-18 Darknet-19 CPU 8565U Img2Row_GEMM_NHWCB With_OMP_SIMDbs_1_2021_11_18_18_2.tab |
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Notes: |
UNF:6:jrxpmqY2nj2Vxf6xZF2Quw== |
File Description--f89703 |
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File: Benchamrking ResNet-18 Darknet-19 CPU 8565U Img2Row_GEMM_NHWCB With_OMP_SIMDbs_16_2021_11_15_12_38.tab |
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Notes: |
UNF:6:JlRo0UVYly1m9zxXkIFgYQ== |
File Description--f89669 |
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File: Benchamrking ResNet-18 Darknet-19 CPU 8565U Img2Row_GEMM_NHWCB With_OMP_SIMDbs_2_2021_11_15_12_21.tab |
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Notes: |
UNF:6:eECYisAN3SEZbxEXq9VsuQ== |
File Description--f89661 |
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File: Benchamrking ResNet-18 Darknet-19 CPU 8565U Img2Row_GEMM_NHWCB With_OMP_SIMDbs_2_2021_11_18_18_4.tab |
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Notes: |
UNF:6:SUF864oNn5RI/vKvoy1xUA== |
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File: Benchamrking ResNet-18 Darknet-19 CPU 8565U Img2Row_GEMM_NHWCB With_OMP_SIMDbs_32_2021_11_15_12_57.tab |
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Notes: |
UNF:6:CGZT51sLpjEYjmF7uSVTVQ== |
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File: Benchamrking ResNet-18 Darknet-19 CPU 8565U Img2Row_GEMM_NHWCB With_OMP_SIMDbs_4_2021_11_15_14_0.tab |
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Notes: |
UNF:6:ra2rpTPkqgm6T/e2r6NCdw== |
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File: Benchamrking ResNet-18 Darknet-19 CPU 8565U Img2Row_GEMM_NHWCB With_OMP_SIMDbs_4_2021_11_18_18_6.tab |
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Notes: |
UNF:6:HR1AckEJTkz3zGN5+SPpcg== |
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File: Benchamrking ResNet-18 Darknet-19 CPU 8565U Img2Row_GEMM_NHWCB With_OMP_SIMDbs_64_2021_11_15_13_35.tab |
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Notes: |
UNF:6:DQ6W8y4KoqbOIWEgPa7PAg== |
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File: Benchamrking ResNet-18 Darknet-19 CPU 8565U Img2Row_GEMM_NHWCB With_OMP_SIMDbs_8_2021_11_15_12_28.tab |
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Notes: |
UNF:6:yYo5kpKQBr22mvsEwTNYlQ== |
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File: Benchamrking ResNet-18 Darknet-19 CPU 8565U Img2Row_GEMM_NHWCB With_OMP_SIMDbs_8_2021_11_18_18_11.tab |
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Notes: |
UNF:6:vSO6Zgd1cgsGeYrsBbLG8g== |
File Description--f89659 |
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File: Benchamrking ResNet-18 Darknet-19 CPU 8565U Img2Row_GEMM_NHWCB With_OMP_SIMD Quantize All Layers bs_4_2021_11_19_12_19.tab |
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Notes: |
UNF:6:/dbT1avlKLe8quKX2zWUKA== |
File Description--f89684 |
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File: Benchamrking ResNet-18 Darknet-19 Rpi 400 CPU Img2Row_GEMM_NHWCB With_OMP_SIMD Verified_popcnt_Kernels Benchmark DoReFa-Net Layers bs_4_2021_11_10_13_39.tab |
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Notes: |
UNF:6:XKcjbv3NcVer51eq9LGqfA== |
File Description--f89724 |
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File: Benchamrking ResNet-18 Darknet-19 Rpi 400 CPU Img2Row_GEMM_NHWCB With_OMP_SIMD Verified_popcnt_Kernels bs_1_2021_11_8_23_19.tab |
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Notes: |
UNF:6:P9X4+tsuwTPEs7yzpt/4Nw== |
File Description--f89721 |
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File: Benchamrking ResNet-18 Darknet-19 Rpi 400 CPU Img2Row_GEMM_NHWCB With_OMP_SIMD Verified_popcnt_Kernels bs_2_2021_11_8_23_23.tab |
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Notes: |
UNF:6:Dk7ntIVvyazz4SC4qxHgzw== |
File Description--f89710 |
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File: Benchamrking ResNet-18 Darknet-19 Rpi 400 CPU Img2Row_GEMM_NHWCB With_OMP_SIMD Verified_popcnt_Kernels bs_4_2021_11_8_23_30.tab |
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Notes: |
UNF:6:+9a2np9d+TfKk2h+4aedKg== |
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File: Benchamrking ResNet-18 Darknet-19 Rpi 400 CPU Img2Row_GEMM_NHWCB With_OMP_SIMD Verified_popcnt_Kernels bs_8_2021_11_8_23_45.tab |
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Notes: |
UNF:6:VGr4DI+HUzfccMayIRKocA== |
File Description--f89713 |
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File: Benchamrking ResNet-18 Darknet-19 Rpi 400 CPU Img2Row_GEMM_NHWCB With_OMP_SIMD Verified_popcnt_Kernels Power bs_4_2021_11_9_17_53.tab |
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Notes: |
UNF:6:LCUtBIFLIqoD1iCCr0n7sw== |
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File: Benchmarking ResNet-18 Darknet-19 Img2Row_GEMM_NHWCB GPU 49x32 Cores bs_1_2021_11_4_20_2.tab |
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Notes: |
UNF:6:i5+Sts+rMvhzpNmA8hqxLA== |
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File: Benchmarking ResNet-18 Darknet-19 Img2Row_GEMM_NHWCB GPU 49x32 Cores bs_128_2021_11_4_20_24.tab |
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Notes: |
UNF:6:V3h9CpOBLZ5YLIHg/BmN4A== |
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File: Benchmarking ResNet-18 Darknet-19 Img2Row_GEMM_NHWCB GPU 49x32 Cores bs_16_2021_11_4_20_6.tab |
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Notes: |
UNF:6:NzJZighKu0pWbRLv8UXovg== |
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File: Benchmarking ResNet-18 Darknet-19 Img2Row_GEMM_NHWCB GPU 49x32 Cores bs_2_2021_11_4_20_3.tab |
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Notes: |
UNF:6:sdwoSxoYuXiDGrMVbQ5XbQ== |
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File: Benchmarking ResNet-18 Darknet-19 Img2Row_GEMM_NHWCB GPU 49x32 Cores bs_256_2021_11_4_20_45.tab |
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Notes: |
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File: Benchmarking ResNet-18 Darknet-19 Img2Row_GEMM_NHWCB GPU 49x32 Cores bs_32_2021_11_4_20_9.tab |
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Notes: |
UNF:6:bORLkGqJroMmTXu6tuHzzQ== |
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File: Benchmarking ResNet-18 Darknet-19 Img2Row_GEMM_NHWCB GPU 49x32 Cores bs_4_2021_11_4_20_3.tab |
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Notes: |
UNF:6:vpMV4FMEHVU0hSz0s6ijiw== |
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File: Benchmarking ResNet-18 Darknet-19 Img2Row_GEMM_NHWCB GPU 49x32 Cores bs_64_2021_11_4_20_14.tab |
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Notes: |
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File: Benchmarking ResNet-18 Darknet-19 Img2Row_GEMM_NHWCB GPU 49x32 Cores bs_8_2021_11_4_20_4.tab |
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Notes: |
UNF:6:ddFmyu2yE5F8342tnhxdvA== |
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File: Benchmarking ResNet-18 Darknet-19 Img2Row_GEMM_NHWCB GPU 49x32 Cores Power bs_16_2021_11_11_20_52.tab |
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Notes: |
UNF:6:f3x5tyNzh7J4g8mEjITXcw== |
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File: Power of Rpi 400 CPU Test 2021-11-9.tab |
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Notes: |
UNF:6:E3zmCd4z0oqaFC0WdRs6WA== |
File Description--f89731 |
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File: Power Rpi 400 DoReFa-Net Layers.tab |
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Notes: |
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File: Power RTX-3080 bs16.tab |
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Notes: |
UNF:6:Dh0z32X2fsaZOtqen7dmXw== |
File Description--f89685 |
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File: TECS2021 TAB Paper Reversion Experiments.tab |
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Notes: |
UNF:6:5U/c3i4ob7IZOh9UXqSN/Q== |
List of Variables: |
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Variables |
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f89654 Location: |
Summary Statistics: Max. 5.119; Mean 5.056769423558897; Min. 5.009; StDev 0.03538246973127528; Valid 798.0 Variable Format: numeric Notes: UNF:6:UzXGGJdrMyWn/vg1YWVCXg== |
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Summary Statistics: StDev 230.5070497837322; Min. 0.0; Max. 797.0; Mean 398.5; Valid 798.0 Variable Format: numeric Notes: UNF:6:aj1h+SXlFIJYQ3WqsIK2/w== |
f89654 Location: |
Summary Statistics: Min. 0.4255; StDev 0.2398287555268551; Max. 1.1487; Mean 0.7359636591478697; Valid 798.0; Variable Format: numeric Notes: UNF:6:7HOJqxgllyLK0Mi0rA43nw== |
f89654 Location: |
Summary Statistics: Mean 3.7293126344611527; Min. 2.1341849; StDev 1.2353485789911813; Valid 798.0; Max. 5.868708300000001 Variable Format: numeric Notes: UNF:6:nJk+14yedjn1y1cwWF1YVw== |
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Summary Statistics: Max. NaN; StDev NaN; Mean NaN; Valid 0.0; Min. NaN Variable Format: numeric Notes: UNF:6:n5rudPbXxvku1HYjwXPDyQ== |
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Variable Format: character Notes: UNF:6:wAAUuO8ofQO8+9n4ATYrDg== |
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Summary Statistics: StDev 0.03974324481340874; Min. 5.005; Valid 1622.0; Mean 5.057245992601726; Max. 5.116 Variable Format: numeric Notes: UNF:6:kvbiLOQcNSAEIW6LyO0beg== |
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Summary Statistics: Mean 810.5; Min. 0.0; Valid 1622.0; StDev 468.3753836400884; Max. 1621.0 Variable Format: numeric Notes: UNF:6:dw2F1cIzlI6hdHeBPhDMEQ== |
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Summary Statistics: StDev 0.2868644859722636; Max. 1.2194; Min. 0.3993; Mean 0.7732531442663377; Valid 1622.0; Variable Format: numeric Notes: UNF:6:P2L8kQJfqLSTIYEF+iZ5xA== |
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Summary Statistics: Valid 1622.0; Mean 3.9214298324290997; Max. 6.2262564000000005; Min. 1.9992950999999999; StDev 1.479797362015911 Variable Format: numeric Notes: UNF:6:6eFymT1SFdXLu4FY093XDQ== |
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Summary Statistics: Min. NaN; Valid 0.0; Max. NaN; Mean NaN; StDev NaN; Variable Format: numeric Notes: UNF:6:5MjixF6OODyu0EhBZMM0Cg== |
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Summary Statistics: Min. 23.15; Valid 954.0; StDev 24.888364419730372; Mean 109.31873165618448; Max. 125.74; Variable Format: numeric Notes: UNF:6:6X30imjpKN1t5PvGOpcd9A== |
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Summary Statistics: StDev 14957.633061625791; Min. 4828.09; Max. 63284.2; Mean 17008.278666666665; Valid 15.0 Variable Format: numeric Notes: UNF:6:iIVE7O2lA/jGfF5FZ/XpoQ== |
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Variable Format: character Notes: UNF:6:HipswJ9Zcrf7yeyuwebmBQ== |
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Summary Statistics: Valid 0.0; Min. NaN; Max. NaN; Mean NaN; StDev NaN; Variable Format: numeric Notes: UNF:6:VKkY7XEymi5q+DEVOCXLaQ== |
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Variable Format: character Notes: UNF:6:0/QN48hlxpD1+iMYyCi2zA== |
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Summary Statistics: Min. 122.5138028169014; Valid 8.0; StDev 0.3316826772785437; Mean 123.0087888514153; Max. 123.52222222222223 Variable Format: numeric Notes: UNF:6:gs8PKwrPszKZ1BntuMaucw== |
f89728 Location: |
Summary Statistics: Max. NaN; Mean NaN; Min. NaN; StDev NaN; Valid 0.0; Variable Format: numeric Notes: UNF:6:VKkY7XEymi5q+DEVOCXLaQ== |
f89728 Location: |
Summary Statistics: Max. NaN; Valid 0.0; StDev NaN; Mean NaN; Min. NaN; Variable Format: numeric Notes: UNF:6:VKkY7XEymi5q+DEVOCXLaQ== |
f89728 Location: |
Variable Format: character Notes: UNF:6:0/QN48hlxpD1+iMYyCi2zA== |
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Summary Statistics: Valid 8.0; StDev 0.3259460210411253; Min. 123.59730769230772; Max. 124.528125; Mean 124.11284741259213 Variable Format: numeric Notes: UNF:6:FMSyodgPywqwK1elbHqP8w== |
f89685 Location: |
Summary Statistics: Min. NaN; Mean NaN; StDev NaN; Valid 0.0; Max. NaN Variable Format: numeric Notes: UNF:6:H55PZ6brpdyDhexuTePwJA== |
Rpi400CPUBS=4BenchamrkingResNet-18Darknet-19Rpi400CPUImg2RowGEMMNHWCBWithOMPSIMDVerifiedpopcntKernelsbs420211182330 |
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f89685 Location: |
Variable Format: character Notes: UNF:6:fApaCeljKioScBptk0NGYg== |
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Label: |
ANDTNN.cpp |
Notes: |
text/x-c |
Label: |
ANDTNN.cpp |
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text/x-c |
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benchmark.cpp |
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text/x-c |
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benchmark.cpp |
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text/x-c |
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benchmark.h |
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text/x-c |
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benchmark.h |
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text/x-c |
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CMakeLists.txt |
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text/plain |
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CMakeLists.txt |
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text/plain |
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common.h |
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text/x-c |
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common.h |
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text/x-c |
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CPUFunctions.cpp |
Notes: |
text/x-c |
Label: |
CPUFunctions.h |
Notes: |
text/x-c |
Label: |
Cuda11Test.sln |
Notes: |
application/octet-stream |
Label: |
Cuda11Test.vcxproj |
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application/octet-stream |
Label: |
Cuda11Test.vcxproj.user |
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application/octet-stream |
Label: |
DedicatedConv.cpp |
Notes: |
text/x-c |
Label: |
DedicatedConv.cpp |
Notes: |
text/x-c |
Label: |
DedicatedConv.h |
Notes: |
text/x-c |
Label: |
DedicatedConv.h |
Notes: |
text/x-c |
Label: |
GEMM.cpp |
Notes: |
text/x-c |
Label: |
GEMM.cpp |
Notes: |
text/x-c |
Label: |
GEMM.cu |
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application/cu-seeme |
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GEMM.cuh |
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application/octet-stream |
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GEMM.h |
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text/x-c |
Label: |
GEMM.h |
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text/x-c |
Label: |
kernel.cu |
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application/cu-seeme |
Label: |
libpopcntARM.h |
Notes: |
text/x-c |
Label: |
libpopcnt.h |
Notes: |
text/x-c |
Label: |
libpopcnt.h |
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text/x-c |
Label: |
main.cpp |
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text/x-c |
Label: |
main.cpp |
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text/x-c |
Label: |
Quantize.cpp |
Notes: |
text/x-c |
Label: |
Quantize.cpp |
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text/x-c |
Label: |
Quantize.h |
Notes: |
text/x-c |
Label: |
Quantize.h |
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text/x-c |
Label: |
README.md |
Notes: |
text/markdown |
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RTX3080 Power Record.txt |
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text/plain |
Label: |
setup.py |
Notes: |
text/x-python |
Label: |
TAB.cpp |
Notes: |
text/x-c |
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TAB.cpp |
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text/x-c |
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TAB.exe |
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application/x-msdownload |
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TAB_GPU.cpp |
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text/x-c |
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TAB.iobj |
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application/octet-stream |
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TAB.ipdb |
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application/octet-stream |
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TAB.pdb |
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application/vnd.palm |
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TAB.sln |
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application/octet-stream |
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TAB.vcxproj |
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application/octet-stream |
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TAB.vcxproj.filters |
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application/octet-stream |
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TAB.vcxproj.user |
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application/octet-stream |
Label: |
Terminal Output Rpi 400 CPU Power Test bs4.txt |
Notes: |
text/plain |
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Terminal Output Rpi 400 DoReFa-Net Layers.txt |
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text/plain |
Label: |
Terminal Output RTX3080 Power Record.txt |
Notes: |
text/plain |
Label: |
ternarize.cpp |
Notes: |
text/x-c |
Label: |
ternarize.cpp |
Notes: |
text/x-c |
Label: |
ternarize.h |
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text/x-c |
Label: |
ternarize.h |
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text/x-c |
Label: |
version.txt |
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text/plain |