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I had no trouble installing the 32 bit version of mysql workbench this way onto my 32 bit Centos 6 system (by the way, the link posted in the first answer no longer seems to work):yum install mysql-workbench-community-6.1.7-1.el6.i686.rpmLoaded plugins: fastestmirror, refresh-packagekit, securityLoading mirror speeds from cached hostfile * base: mirror.clarkson.edu * epel: mirror.sfo12.us.leaseweb.net * extras: mirrors.kernel.org * updates: mirrors.syringanetworks.netSetting up Install ProcessExamining mysql-workbench-community-6.1.7-1.el6.i686.rpm: mysql-workbench-community-6.1.7-1.el6.i686Marking mysql-workbench-community-6.1.7-1.el6.i686.rpm to be installedResolving Dependencies--> Running transaction check---> Package mysql-workbench-community.i686 0:6.1.7-1.el6 will be installed--> Processing Dependency: libtinyxml.so.0 for package: mysql-workbench-community-6.1.7-1.el6.i686--> Processing Dependency: libzip.so.1 for package: mysql-workbench-community-6.1.7-1.el6.i686--> Running transaction check---> Package libzip.i686 0:0.9-3.1.el6 will be installed---> Package tinyxml.i686 0:2.6.1-1.el6 will be installed--> Finished Dependency ResolutionDependencies Resolved============================================================================================================ Package Arch Version Repository SizeInstalling: mysql-workbench-community i686 6.1.7-1.el6 /mysql-workbench-community-6.1.7-1.el6.i686 113 MInstalling for dependencies: libzip i686 0.9-3.1.el6 base 38 k tinyxml i686 2.6.1-1.el6 epel 47 kTransaction SummaryInstall 3 Package(s)Total size: 113 MTotal download size: 85 kInstalled size: 113 MIs this ok [y/N]: yDownloading Packages:(1/2): libzip-0.9-3.1.el6.i686.rpm | 38 kB 00:00 (2/2): tinyxml-2.6.1-1.el6.i686.rpm | 47 kB 00:00Total 76 kB/s | 85 kB 00:01Running rpm_check_debugRunning Transaction TestTransaction Test SucceededRunning Transaction Installing : libzip-0.9-3.1.el6.i686 1/3 Installing : tinyxml-2.6.1-1.el6.i686 2/3 Installing : mysql-workbench-community-6.1.7-1.el6.i686 3/3 Verifying : tinyxml-2.6.1-1.el6.i686 1/3 Verifying : mysql-workbench-community-6.1.7-1.el6.i686 2/3 Verifying : libzip-0.9-3.1.el6.i686 3/3 Installed: mysql-workbench-community.i686 0:6.1.7-1.el6 Dependency Installed: libzip.i686 0:0.9-3.1.el6 tinyxml.i686 0:2.6.1-1.el6 Complete!

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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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SQLines tools can help you transfer data, convert database schema (DDL), views, stored procedures and functions, triggers, SQL queries and SQL scripts from MySQL to Microsoft SQL Server (MS SQL, MSSQL), Azure SQL and Azure Synapse.SQLines Data - Data Transfer, Schema Migration and Validation toolDatabases MySQL 8.x and 5.x Microsoft SQL Server 2022, 2019, 2017, 2016, 2014, 2012, 2008 and 2005Migration ReferenceSQL Language ElementsConverting language elements and constructs: MySQL SQL Server 1 b'100' Binary string 0x04 Hex string only IdentifiersConverting identifiers: MySQL SQL Server Quoted Identifiers ` (backtick) and " (double quotes) [ ] and " (double quotes) Data TypesConverting character data types: MySQL SQL Server 1 CHAR(n), CHARACTER(n) Fixed-length string, 1 ⇐ n ⇐ 255 CHAR(n), CHARACTER(n) 2 CHARACTER VARYING(n) Variable-length string, 1 ⇐ n ⇐ 65535 CHARACTER VARYING(n) 3 LONGTEXT Character large object, ⇐ 4G VARCHAR(max) 4 LONG, LONG VARCHAR Character large object, ⇐ 16M VARCHAR(max) 5 MEDIUMTEXT Character large object, ⇐ 16M VARCHAR(max) 6 NCHAR(n) Fixed-length UTF-8 string, 1 ⇐ n ⇐ 255 NCHAR(n) 7 NVARCHAR(n) Varying-length UTF-8 string, 1 ⇐ n ⇐ 65535 NVARCHAR(n) 8 TEXT Character large object, ⇐ 64K VARCHAR(max) 9 TINYTEXT Character data, ⇐ 255 bytes VARCHAR(255) 10 VARCHAR(n) Variable-length string, 1 ⇐ n ⇐ 65535 VARCHAR(n) Converting numeric data types: MySQL SQL Server 1 BIGINT 64-bit integer BIGINT 2 DECIMAL(p,s) Fixed-point number, p ⇐ 65, default 10 DECIMAL(p,s) p ⇐ 38, default 18 3 DEC(p,s) Synonym for DECIMAL DEC(p,s) 4 DOUBLE [PRECISION] Double-precision floating-point number FLOAT 5 FIXED(p,s) Synonym for DECIMAL DECIMAL(p,s) 6 FLOAT(p) Floating-point number FLOAT 7 FLOAT4(p) Floating-point number FLOAT 8 FLOAT8 Double-precision floating-point number BINARY_DOUBLE 9 INT, INTEGER 32-bit integer INT, INTEGER 10 INT1 8-bit integer SMALLINT 11 INT2 16-bit integer SMALLINT 12 INT3 24-bit integer INT 13 INT4 32-bit integer INT 14 INT8 64-bit integer BIGINT 15 MEDIUMINT 24-bit integer INT 16 MIDDLEINT 24-bit integer INT 17 NUMERIC(p,s) Synonym for DECIMAL NUMERIC(p,s) 18 REAL Double-precision floating-point number DOUBLE PRECISION 19 SERIAL 64-bit autoincrementing integer NUMERIC(20) 20 SMALLINT 16-bit integer SMALLINT 21 TINYINT 8-bit integer SMALLINT Converting date and time data types: MySQL SQL Server 1 DATE Date (year, month and day) DATE Since SQL Server 2008 2 DATETIME(p) Date and time data with fraction DATETIME2(p) 3 TIME(p) Time (Hour, minute, second and fraction) TIME(p) 4 TIMESTAMP(p) Auto-updated datetime DATETIME2(p) 5 YEAR[(2 | 4)] Year in 2-digit or 4-digit format NUMERIC(4) Converting other data types: MySQL SQL Server 1 BINARY(n) Fixed-length byte string, 1 ⇐ n ⇐ 255 BINARY(n) 2 BIT(n) Fixed-length bit string, 1 n BINARY(n/8) 3 BLOB(n) Binary large object, ⇐ 64K VARBINARY(max) 4 BOOLEAN, BOOL 0 or 1 value; NULL is not allowed BIT 5 LONGBLOB Binary large object, ⇐ 4G VARBINARY(max) 6 LONG VARBINARY Binary

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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. MySQL .0 (32-bit) Date released: (one month ago) Download. MySQL .0 (32-bit) Date released: (5 months ago) Download. MySQL .0 (32