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With this free tool you can create and edit SQlite databases Home Developer Tools DB Browser for SQLite 3.13.1 (64-bit) Old Versions Browse by CompanyAdobe, Apowersoft, Ashampoo, Autodesk, Avast, Corel, Cyberlink, Google, iMyFone, iTop, Movavi, PassFab, Passper, Stardock, Tenorshare, Wargaming, Wondershare Sponsored March, 3rd 2025 - 18.9 MB - Open Source Review Screenshots Change Log Old Versions DB Browser for SQLite 3.13.1 (64-bit) Date released: 16 Oct 2024 (5 months ago) DB Browser for SQLite 3.13.1 (32-bit) Date released: 16 Oct 2024 (5 months ago) DB Browser for SQLite 3.13.0 (64-bit) Date released: 23 Jul 2024 (8 months ago) DB Browser for SQLite 3.13.0 (32-bit) Date released: 23 Jul 2024 (8 months ago) DB Browser for SQLite 3.12.2 (64-bit) Date released: 17 May 2021 (4 years ago) DB Browser for SQLite 3.12.2 (32-bit) Date released: 17 May 2021 (4 years ago) DB Browser for SQLite 3.12.1 (64-bit) Date released: 09 Nov 2020 (4 years ago) DB Browser for SQLite 3.12.1 (32-bit) Date released: 09 Nov 2020 (4 years ago) DB Browser for SQLite 3.12.0 (64-bit) Date released: 16 Jun 2020 (5 years ago) DB Browser for SQLite 3.12.0 (32-bit) Date released: 16 Jun 2020 (5 years ago) DB Browser for SQLite 3.11.2 (64-bit) Date released: 05 Jun 2019 (6 years ago) DB Browser for SQLite 3.11.2 (32-bit) Date released: 05 Jun 2019 (6 years ago) 06 2:forl = 7 to 0 do3:for m = 3 to 0 do4: if the l-th bit of R 16 + m ==1 then5: R 0 ← R 0 + R 25 6:for k = 0 to 3 do7: R 8 + m + k ← R 8 + m + k ⨁ R 20 + k 8:end for9:else10:for k = 0 to 3 do11: R 24 ← R 24 ⨁ R 20 + k 12:end for13:end if14:end for15: ( R 15 , … , R 8 ) ← ( R 15 , … , R 8 ) ≪ 1 16:end for…In addition, the performance is improved further by applying Liu et al’s multiplication method to the proposed method. Seo and Kim proposed to shift 40-bit multiplicand (A) for a 64-bit multiplier, rather than shifting 64-bit accumulator. This approach reduces 29 shift instructions per 32-bit multiplication operation. However, the multiplication method suggested by Seo and Kim does not show a big difference in performance compared to the method suggested by Liu et al. According to Seo and Kim, the number of shift instructions can be reduced compare to Liu et al’s method. However, the XOR instruction goes one more operation per bit, which leads to addition of 32 more XOR instructions when calculation 40-bit multiplicand (A). Since five registers are needed to store the 40-bit multiplicand (A), one more register is required compared to the Liu et al’s technique. Liu et al.’s approach is used for multiplication and one register is saved. These spare registers are used in the Karatsuba algorithm to improve the performance. For the optimal number of register utilization, the version without using spare registers is also investigated. Currently, RISC-V introduces new architecture for future microcontrollers. The optimal register utilization can contribute to the optimal architecture design. 4.2. Karatsuba Algorithm for GHASHKaratsuba algorithm is well known asymptotically fast multiplication method and the proposed implementation also utilizes the Karatsuba algorithm for high performance.First, the multiplication is performed with lower 32-bit of 64-bit operands ( A [ 3 ∼ 0 ] , B [ 3 ∼ 0 ] )

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The Devart website. Run the downloaded file and follow the instructions in the wizard. After installing the driver, run the 64-bit or 86-bit iODBC utility, find the needed driver, and click Configure. In the dialog box that appears, specify the required connection settings and click OK. To establish a connection to the data source, click Test.Installation of an ODBC driver on Ubuntu is carried out from the DEB package. Download the package that matches the bitness of your operating system.Then open the folder with the downloaded package, double-click the DEB package, and click Install.Open the Terminal and install the driver by using the following command.If you use CentOC, you need to download the RPM package of the corresponding bitness.After that, open the Konsole and navigate to the folder with the downloaded package specifying the path to the folder as a parameter of the cd command. Then, install the driver by using the following commands.To install the devartodbcsqlite_i386.deb on a 32-bit system, use:use sudo dpkg -i devartodbcsqlite_i386.debTo install the devartodbcsqlite_amd64.deb on a 64-bit system, use:sudo dpkg -i devartodbcsqlite_amd64.debFor more detailed information about installing and configuring ODBC Driver for SQLite on Ubuntu, go to the documentation.To install the devart-odbc-sqlite.i386.rpm on a 32-bit system, use:sudo -rpm -ivh devart-odbc-sqlite.i386.rpmTo install the devart-odbc-sqlite.x86_64.rpm on a 64-bit system, use:sudo rpm -ivh devart-odbc-sqlite.x86_64.rpmFor more detailed information about installing and configuring ODBC Driver for SQLite on Centos, go to the documentation.How to connect Domo to SQLite data source and access data in 3 steps01. In Domo Workbench, create a new DataSet. Then configure the ODBC connection, write SELECT for the required table, and click Execute.02. In the Domo web account, navigate to DATA > DataSet. The latest connections are placed at the beginning of Results. 03. To be able to view data from the selected table, click the connection that you've set. To find a specific column, you can use the Search field.Advantages of Connectivity to SQLite from Domo via ODBC DriverSecure ConnectionEvery operation with SQLite becomes significantly faster using such capabilities of ourdriver as local data caching, connection pooling, and much more.Working with Domo using Multiple FunctionsUsing

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OpponentEloDiffResultsScoreLOSPerf– Stockfish 15 64-bit 4CPU3622+13−13(+164)6.5 − 13.5(+0−7=13)32.5%6.5 / 200.0%+53– Stockfish 14 64-bit 4CPU3621+13−13(+163)5.5 − 14.5(+0−9=11)27.5%5.5 / 200.0%+14– Dragon by Komodo 3.1 64-bit 4CPU3616+14−14(+158)5 − 15(+0−10=10)25.0%5.0 / 200.0%−8– Fat Fritz 2 64-bit 4CPU3601+10−10(+143)6.5 − 13.5(+0−7=13)32.5%6.5 / 200.0%+32– Berserk 10 64-bit 4CPU3567+13−13(+109)6 − 14(+0−8=12)30.0%6.0 / 200.0%−18– Revenge 3.0 64-bit 4CPU3558+9−9(+100)6.5 − 13.5(+1−8=11)32.5%6.5 / 200.0%−15– Ethereal 13.75 64-bit 4CPU3554+12−12(+96)6.5 − 13.5(+0−7=13)32.5%6.5 / 200.0%−14– Koivisto 8.0 64-bit 4CPU3551+11−11(+93)7 − 13(+0−6=14)35.0%7.0 / 200.0%−2– SlowChess Blitz 2.9 64-bit 4CPU3545+9−9(+87)8.5 − 11.5(+0−3=17)42.5%8.5 / 200.0%+41– Clover 5.0 64-bit 4CPU3544+17−17(+86)12 − 20(+0−8=24)37.5%12.0 / 320.0%+9– Deep Sjeng 3.6 a16 64-bit 4CPU3544+16−16(+86)12 − 20(+0−8=24)37.5%12.0 / 320.0%+9– RubiChess 20220813 64-bit 4CPU3530+15−15(+72)7 − 13(+0−6=14)35.0%7.0 / 200.0%−20– rofChade 3.0 64-bit 4CPU3526+10−10(+68)7 − 13(+0−6=14)35.0%7.0 / 200.0%−24– Clover 4.0 64-bit 4CPU3525+16−16(+67)11 − 19(+0−8=22)36.7%11.0 / 300.0%−16– Minic 3.32 64-bit 4CPU3520+14−14(+62)8.5 − 15.5(+0−7=17)35.4%8.5 / 240.0%−28– Minic 3.30 64-bit 4CPU3515+14−14(+57)6.5 − 13.5(+0−7=13)32.5%6.5 / 200.0%−52– Caissa 1.8 64-bit 4CPU3513+17−17(+55)11 − 15(+0−4=22)42.3%11.0 / 260.0%+8– Seer 2.5.0 64-bit 4CPU3510+13−13(+52)9.5 − 10.5(+1−2=17)47.5%9.5 / 200.0%+38– Carp 3.0.0 64-bit 4CPU3501+16−16(+43)10.5 − 11.5(+0−1=21)47.7%10.5 / 220.0%+29– Arasan 23.4 64-bit 4CPU3499+13−13(+41)8.5 − 11.5(+0−3=17)42.5%8.5 / 200.0%−4– Uralochka 3.38c 64-bit 4CPU3493+15−15(+35)10 − 10(+2−2=16)50.0%10.0 / 200.0%+35– Rebel 15.1a 64-bit 4CPU3490+16−16(+32)9 − 11(+0−2=18)45.0%9.0 / 200.1%+4– Arasan 23.5 64-bit 4CPU3488+15−15(+30)10.5 − 11.5(+1−2=19)47.7%10.5 / 220.2%+17– Igel 3.1.0 64-bit 4CPU3484+12−12(+26)9.5 − 10.5(+0−1=19)47.5%9.5 / 200.3%+13– Black Marlin 7.0 64-bit 4CPU3466+14−14(+8)8.5 − 11.5(+1−4=15)42.5%8.5 / 2018.7%−41– Houdini 6 64-bit 4CPU3456+7−7(−2)9 − 11(+1−3=16)45.0%9.0 / 2060.1%−31– Velvet 5.1.0 64-bit 4CPU3454+17−17(−4)16.5 − 13.5(+7−4=19)55.0%16.5 / 3063.2%+29– Marvin 6.1.0 64-bit 4CPU3448+15−15(−10)11.5 − 12.5(+0−1=23)47.9%11.5 / 2482.7%−20– Wasp 6.00 64-bit 4CPU3440+15−15(−18)12.5 − 7.5(+5−0=15)62.5%12.5 / 2096.4%+55– Nemorino 6.05 64-bit 4CPU3432+16−16(−26)10 − 10(+3−3=14)50.0%10.0 / 2099.2%−26– Booot 7.0 64-bit 4CPU3428+16−16(−30)10 − 10(+2−2=16)50.0%10.0 / 2099.7%−33– Velvet 4.1.0 64-bit 4CPU3423+15−15(−35)11 − 9(+4−2=14)55.0%11.0 / 20100.0%−4– Mantissa 3.7.2 64-bit 4CPU3381+15−15(−77)12 − 8(+4−0=16)60.0%12.0 / 20100.0%−17– Marvin 6.0.0 64-bit 4CPU3377+16−16(−81)11 − 9(+2−0=18)55.0%11.0 / 20100.0%−53– Expositor 2BR17 64-bit 4CPU3376+16−16(−82)12.5 − 7.5(+6−1=13)62.5%12.5 / 20100.0%0– Counter 5.0 64-bit 4CPU3373+18−18(−85)14.5 − 9.5(+7−2=15)60.4%14.5 / 24100.0%−17– Smallbrain 6.0 64-bit 4CPU3370+16−16(−88)13.5 − 10.5(+3−0=21)56.3%13.5 / 24100.0%−52– Stash 34.0 64-bit 4CPU3364+18−18(−94)16.5 − 7.5(+10−1=13)68.8%16.5 / 24100.0%+28– Drofa 4.0.0 64-bit 4CPU3318+20−20(−140)15 − 3(+12−0=6)83.3%15.0 / 18100.0%+102– Winter 1.0 64-bit 4CPU3306+18−18(−152)12.5 − 3.5(+9−0=7)78.1%12.5 / 16100.0%+40– Drofa 3.3.22 64-bit 4CPU3300+21−21(−158)13.5 − 6.5(+7−0=13)67.5%13.5 / 20100.0%−47. SQLite 3.32.2 (64-bit) Date released: (3 years ago) Download. SQLite 3.32.1 (64-bit) Date released: (3 years ago) Download. SQLite 3.32.0 (64 SQLite 3.32.2 (64-bit) Date released: (3 years ago) Download. SQLite 3.32.1 (64-bit) Date released: (3 years ago) Download. SQLite 3.32.0 (64-bit) Date released: 23

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