qle8442 cu

,cu=0,mis=1,r=0,dep=1,og=1,plh=0,tim=434859905841 ===================== PARSING IN CURSOR #11529215044979172808 len=8 dep=1 uid=0 oct=45 lid=0 tim=434859906846 hv=2761672982 ad='0' sqlid='8sst43uk9rk8q' ROLLBACK END OF STMT PARSE #11529215044979172808:c=0,e=12,p=0,cr=0,cu=0,mis=0,r=0,dep=1,og=0,plh=0,tim=434859906844 XCTEND rlbk=1, rd_only=1, tim=434859906921 EXEC #11529215044979172808:c=0,e=33,p=0,cr=0,

Syntax highlighting in addition to the look comfortable, you can use F11 to find functions, variable definitions, hitting the function will also have a corresponding hint.The following is a set of code highlighting.In the Helloworldcuda.cu file above, the Cuda C + + keyword __global__ and so on are not highlighted, and there is a stroke curve. The following syntax highlighting of Cuda C + + keywords and functions, configuring visual Assistx function highlighting, code hinting and other functions

GPU thread and Scheduling This section describes how workgroups in opencl can be scheduled and executed on hardware devices. At the same time, we will also talk about the workitem in the same workgroup. If the commands they execute occur diverage (that is, the execution commands are inconsistent), the performance will be affected. Learning opencl parallel programming is not only about opencl spec, but also about the features of opencl hardware devices. At this stage, we mainly understand the a

) (chart_height*0.3); break; } } chartutil cu = new Chartutil (); Pointf[] Zuobiaostart;Pointf[] Zuobiaoend;Graphics G;Bitmap BM;Createcanvas (out of BM, out of G, out of zuobiaoend, out ZUOBIAOSTART,CU); Draw axesint chidu = drawaxes (data, Zuobiaostart, G, ZUOBIAOEND,CU); Draw a bar chartfloat barwidth = chart_width/(2 * 2);PointF barorigin = new PointF (C

1. precautions to compile the method see: http://blog.csdn.net/wangyaninglm/article/details/39997113 The following is the program code, online search examples: Note: 32-bit projects add 64-bit support (mainly depending on the version you compiled), and the project path of the CUDA is configured to include 2. Code //SWAP.CU # Include "Cuda_runtime.h" #include "device_launch_parameters.h" #include Swap.cpp #include Main.cpp #include 3. Achieve the effect: 4. Other Precautions Supp

);-- Cursor record_t_sms_customer_errlog is select c. cust_id "Customer ID", cu. cust_name "customer name", c. d "status", c. error_info "error message", c. client_ip "customer IP", c. protocol "protocol", c. t "record COUNT" from (select CUST_ID, case ACTION when '1' log on to 'else' downlink 'end d, ERROR_INFO, CLIENT_IP, PROTOCOL, COUNT (ERRLOG_ID) t from t_sms_customer_errlog where create_time> sysdate-interval '1' hour and err_code = 8 group by

CURSOR #4574130432 len=142 dep=1 uid=0 oct=3 lid=0 tim=237352129855 hv=361892850 ad= ' 700000160cd5178 ' sqlid= ' 7b D391hat42zk 'Select/*+ Rule */Name,file#,block#,status$,user#,undosqn,xactsqn,scnbas,scnwrp,decode (inst#,0,null,inst#), ts#, Spare1 from undo$ where us#=:1End of STMTPARSE #4574130432: c=9,e=14,p=0,cr=0,cu=0,mis=0,r=0,dep=1,og=3,plh=4258302260,tim=237352129854Binds #4574130432:Bind#0oacdty=02 mxl=22 mxlc=00 mal=00 scl=00 pre=00oacflg=

[Void] [reflection. Assembly]: LoadFile ("C: \ Program Files \ Microsoft. NET \ adomd. Net \ 100 \ microsoft. analysisservices. adomdclient. dll ") $ Conn = new-object Microsoft. analysisservices. adomdclient. adomdconnection; Write-host "server (default localhost ):"$ Strserver = read-hostWrite-host "Database (default dbname ):"$ Strdatabase = read-hostWrite-host "cube (default cubename, press 'A' for all ):"$ Strcube = read-host If ([system. String]: isnullorempty ($ strserver )){$ St

== 0 ) ? ( getHeight(0) >> 2 ) + ( getHeight(0) >> 1 ) : getHeight(0) >> 2; xP = col; yP = (partIdx ==0)? row: row + getHeight(0) - nPSH; break; case SIZE_nLx2N: nPSW = ( partIdx == 0 ) ? getWidth(0) >> 2 : ( getWidth(0) >> 2 ) + ( getWidth(0) >> 1 ); nPSH = getHeight(0); xP = (partIdx ==0)? col: col + getWidth(0) - nPSW; yP = row; break; case SIZE_nRx2N: nPSW = ( partIdx == 0 ) ? ( getWidth(0) >> 2 ) + ( getWidth(0) >> 1 ) : getWidth(0) >> 2; nPSH = get

insert an update if it does not exist?[A] 9i supports Merge, but only select subqueries. If it is A single data record, you can write select ...... From dual subquery. Syntax: merge into tableUSING data_sourceON (condition) when matched then does not matched then insert_clause; e.g. merge into course cUSING (SELECT course_name, period, course_hoursFROM course_updates) cuON (c. course_name = cu. course_nameAND c. period =

more ower columns than user_col_comments.-- Query the indexes of all tables of the userSelect * from user_indexes-- Query the index of a user table (non-clustered index ):Select * from user_indexes where uniqueness = 'nonunique'-- Query the primary key of a user table (clustered index ):Select * from user_indexes where uniqueness = 'unique'-- Query the table IndexSelect t. *, I. index_type from user_ind_columns t, user_indexes I where t. index_name = I. index_name andT. table_name = 'node'-- Qu

Greedy method: always make the best choice for the current problem, that is, local optimization. Finally, the overall optimization is obtained.Application:1: this problem can be gradually transitioned to "Overall Optimization" through "local optimization", which is the main difference between greedy choice and "dynamic planning. 2: optimal sub-structure: the overall optimal solution of a problem includes the optimal solution of the subproblem. The complete code is as follows: Copy codeThe Code i

The following is the code written by JM, which may be useful to you!~ Copy Code code as follows: @echo off :: Considering that the program is not all installed in the system disk, so also use!str:~-1! to intercept the letter :: If the path contains n Chinese characters, the last n characters of this path will not be displayed (a Chinese character occupies two characters) :: Code by JM 2006-7-27 Setlocal enabledelayedexpansion Echo. The Echo Boot startup program has:

Greedy method: Always the best choice for the current problem, that is, local optimization. Finally, the overall optimum is obtained.Application:1: This problem can be gradually transition to the "overall optimal" through "local optimization", which is the main difference between the nature of greedy selection and "Dynamic planning". 2: The optimal substructure property: the integral optimal solution of a problem contains the optimal solution of the "sub" problem. The complete code is as follows

("Matrixmul_kernel.cu", argv[0));Compilefiletoptx (kernel_file, 0, NULL, ptx, ptxsize);Cumodule module = loadptx (ptx, argc, argv);Find the location of the Cu file. The Cu file is the C language syntax, is the suffix is different, this is mainly realizes the algorithm. Then callCompile the Cu file to the GPU to understand the execution code, and then pass LOADPT

:08.981CLOSE #1: c=0,e=14,dep=0,type=1,tim=1416229568981377=====================Parsing in CURSOR #1 len=23 dep=0 uid=0 oct=3 lid=0 tim=1416229568981763 hv=665675061 ad= ' 87d2dfb0 ' sqlid= ' ckyh1gcmuut9p 'SELECT * FROM Dba_usersEND of STMTPARSE #1: c=0,e=291,p=0,cr=0,cu=0,mis=0,r=0,dep=0,og=1,plh=3422547789,tim=1416229568981762EXEC #1: c=0,e=135,p=0,cr=0,cu=0,mis=0,r=0,dep=0,og=1,plh=3422547789,tim=141622

/x:d:sp1-cu Sqlserver2008-kb970315-x86.exe/x:d:sp1-cu Sqlserver2008-kb973601-x86.exe/x:d:sp1-cu Sqlserver2008-kb976761-x86.exe/x:d:sp1-cu 5. Integrated Installation Setup.exe/pcusource=d:sp1-pcu/cusource=d:sp1-cu This step failed, prompting the following error Microso

focus on writing kernel code. The CU file is as concise as the GLSL shader file. For example:./kernel.cu file, there is only one fill function to populate array a. extern "C" __global__ void Fill (int * A, int cnt) { const int gap = blockdim.x*griddim.x; for (int id = blockdim.x*blockidx.x + threadidx.x ID The following main.cpp demonstrates the use of the Cuder class. #include "Cuder.h" const int N = 65536; std::string Get_ptx_path (cons

calculation. The 1th one in the article HEVC reference queue decoding has been introduced in detail. This paper mainly introduces the 2nd, MV calculation.2.PU RelatedThe PU (Prediction Unit) Prediction Unit is the basic unit for inter-frame prediction and motion compensation. The partitioning method has been introduced in the image Segmentation (2) of the article HEVC standard. As the figure, the large box represents CU, a total of 8 in the block w

_ name, t1.r _ constraint_name from user_constraints t1, user_cons_columns t2 where t1.r _ constraint_name = t2.constraint _ name and t1.table _ name = 'onlinexls') rela Where Uc. constraint_name = ucc. constraint_name and uc. r_constraint_name = rela. r_constraint_name and uc. table_name = 'onlinexls' 1. Search for all indexes of a table (including index names, types, and columns ): Select t. *, I. index_type from user_ind_columns t, user_indexes I where t. index_name = I. index_name and t. ta