mpi运行时出错This name does not have a type,

运行时出现类似错误,求大神指教
This name does not have a type, and must have an explicit type. [MPI_REAL]
This name does not have a type, and must have an explicit type. [MPI_SUM]
This name does not have a type, and must have an explicit type. [MPI_COMM_WORLD]

mpi

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抄袭、复制答案,以达到刷声望分或其他目的的行为,在CSDN问答是严格禁止的,一经发现立刻封号。是时候展现真正的技术了!
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mpi 可以编译 但是运行会出错

因为要上并行计算的课程安装了msmpi 测试代码如下 ``` #include<stdio.h> #include<mpi.h> int main(int argc, char* argv[]) { int myid, numprocs; MPI_Init(&argc, &argv); MPI_Comm_rank(MPI_COMM_WORLD, &myid); MPI_Comm_size(MPI_COMM_WORLD, &numprocs); printf("%d Hello world from process %d \n", numprocs, myid); MPI_Finalize(); return 0; } ``` 适用vs编译得到的exe文件可以执行并打印 但是用g++编译的话,编译成功,但是运行出错 错误代码exit code 3221225477 控制台不打印任何东西 请问各位有遇到过这个问题的吗?

openmpi 运行出错 WARNING: Open MPI accepted a TCP connection

我在集群上用openmpi运行程序时,出现警告提示,然后程序会一直卡住,但是简单的例程却可以正常运行,请问是什么原因呢。 WARNING: Open MPI accepted a TCP connection from what appears to be a another Open MPI process but cannot find a corresponding process entry for that peer.

mpi运行时,mpirun时总是报错

============================= === BAD TERMINATION OF ONE OF YOUR APPLICATION PRECESSES PID 2660 RUNNING AT frame-UX430UNR EXIT COD :9 CLEANING UO REMAINING PRECESSES YOU AN IGNORE THE BELOW CLEANUP MESSAGES YOUR APPLICATION TERMINATED WITH THE EXIT STRING: Killed(siganl 9) Thie typically refers to a problem with your application. Please see the FAQ page for debugging suggestions 源代码如下: int main() { int numprocs, myrank; MPI_Init(&argc,&argv); MPI_Comm_rank(MPI_COMM_WORLD, &myrank); MPI_Comm_size(MPI_COMM_WORLD, &numprocs); CS cs; cs.InputTxtData(); .......... } void CS::InputTxtData() { ifstream fin_Ca("Data[txt].dat",ios::in ); fin_Ca>>dX1>>dY1>>dZ1>>dX2>>dY2>>dZ2>>endl; ........ }

Linux下MPI+OpenMP程序编译运行出错

如题,错误提示如下: [node65:03787] *** Process received signal *** [node65:03787] Signal: Segmentation fault (11) [node65:03787] Signal code: Address not mapped (1) [node65:03787] Failing at address: 0x44000098 [node65:03787] [ 0] /lib64/libpthread.so.0 [0x2aaabc14ac00] [node65:03787] [ 1] /public/share/mpi/openmpi-1.4.5//lib/libmpi.so.0(MPI_Comm_size+0x60) [0x2aaabb398360] [node65:03787] [ 2] fdtd_3D_xyzPML_MPI_OpenMP(main+0xaa) [0x42479a] [node65:03787] [ 3] /lib64/libc.so.6(__libc_start_main+0xf4) [0x2aaabc273184] [node65:03787] [ 4] fdtd_3D_xyzPML_MPI_OpenMP(_ZNSt8ios_base4InitD1Ev+0x39) [0x405d79] [node65:03787] *** End of error message *** [node65:03788] *** Process received signal *** [node65:03788] Signal: Segmentation fault (11) [node65:03788] Signal code: Address not mapped (1) [node65:03788] Failing at address: 0x44000098 [node65:03788] [ 0] /lib64/libpthread.so.0 [0x2b663e446c00] [node65:03788] [ 1] /public/share/mpi/openmpi-1.4.5//lib/libmpi.so.0(MPI_Comm_size+0x60) [0x2b663d694360] [node65:03788] [ 2] fdtd_3D_xyzPML_MPI_OpenMP(main+0xaa) [0x42479a] [node65:03788] [ 3] /lib64/libc.so.6(__libc_start_main+0xf4) [0x2b663e56f184] [node65:03788] [ 4] fdtd_3D_xyzPML_MPI_OpenMP(_ZNSt8ios_base4InitD1Ev+0x39)[0x405d79] [node65:03788] *** End of error message *** ----------------------------------------------------------------------------------- mpirun noticed that process rank 2 with PID 3787 on node node65 exited on signal 11 (Segmentation fault). ----------------------------------------------------------------------------------- 请问各位大侠,这时什么原因引起的啊?急求!!! 我利用gdb调试编译产生的core文件,提示如下: Starting program: /public/home/xx355/data/fdtd_3D_xyzPML_MPI_OpenMP [Thread debugging using libthread_db enabled] [New Thread 47032965403440 (LWP 19821)] [New Thread 1075841344 (LWP 19825)] [New Thread 1077942592 (LWP 19826)] Program received signal SIGSEGV, Segmentation fault. [Switching to Thread 47032965403440 (LWP 19821)] 0x00002ac6b5ecd360 in PMPI_Comm_size () from /public/share/mpi/openmpi-1.4.5//lib/libmpi.so.0 请大家给予帮助,谢谢、、、

使用MPI2中的并行IO,在对文件进行写操作时,设置视口时出错

使用多个进程对文件进行操作,0进程不参与对文件的操作,但是在组调用情况下也需要取调用一下设置视口与写函数。 以下是程序: int main(int argc, char *argv[]) { int myid = 0; // 当前进程的编号 int numprocs = 0; // 当前进程的名称 int namelen = 0; char processor_name[MPI_MAX_PROCESSOR_NAME]; //MPI初始化 MPI_Init(&argc,&argv); MPI_Comm_rank(MPI_COMM_WORLD,&myid); MPI_Comm_size(MPI_COMM_WORLD,&numprocs); MPI_Get_processor_name(processor_name,&namelen); int ret = 0; QString GatherName = "./data_file"; int nshot = 0; if( myid == 0 ) nshot = 0; else nshot = 1000; int dataType= 2100 * 4; int ntrmax = 27; MPI_Offset DataSize = nshot * ntrmax * dataType; MPI_File fh; ret = MPI_File_open( MPI_COMM_WORLD, GatherName.toLatin1().data(), MPI_MODE_WRONLY|MPI_MODE_CREATE, MPI_INFO_NULL, &fh ); if( 0 != ret ) return -1; MPI_File_set_size(fh, DataSize); float *DataBuf = new float[2100*nshot]; for( int iData = 0; iData < 2100*nshot; iData ++ ) DataBuf[iData] = myid+1; int *arr = new int[nshot]; for( int itr = 0; itr < nshot; itr ++ ) { arr[itr] = itr * ntrmax + myid; } int *Array_of_blockLengthData = new int[nshot]; MPI_Aint *Array_of_displament_Data = new MPI_Aint[nshot]; for( int itr = 0; itr < nshot; itr ++ ) { Array_of_blockLengthData[itr] = dataType; Array_of_displament_Data[itr] = (MPI_Aint)(arr[itr] * dataType); } MPI_Status stData; MPI_Datatype DatafType; ret = MPI_Type_create_hindexed( nshot, Array_of_blockLengthData, Array_of_displament_Data, MPI_CHAR, &DatafType); if( 0 == ret ) { ret = MPI_Type_commit( &DatafType ); if( 0 == ret ) { int size = 0; MPI_Type_size(DatafType, &size); qDebug() << "Write Head...myid is:" << myid << "\t Head file type size is:" << size; ret = MPI_File_set_view( fh, 0, MPI_CHAR, DatafType,"native",MPI_INFO_NULL); if( 0 == ret ) { qDebug() << "myid is:" << myid << "set view success."; MPI_File_write_all(fh, DataBuf, nshot*dataType, MPI_CHAR, &stData); } else qDebug() << "set view error. ret is:" << ret; } } MPI_File_close(&fh); delete [] arr; arr = NULL; delete [] DataBuf; DataBuf = NULL; delete [] Array_of_blockLengthData; Array_of_blockLengthData = NULL; delete [] Array_of_displament_Data; Array_of_displament_Data = NULL; qDebug() << "SUCCESS"; MPI_Finalize(); return 0; } 出现的错误为,程序运行到MPI_File_set_view函数时报错: mpirun noticed that process rank 0 with PID 7008 on node node0 exited on signal 11 (Segmentation fault). 当所有进程均参与对文件操作时,数据量很小的情况下能够成功运行结束,数据量太大会出现错误: Error in ADIOI_Calc_aggregator(): rank_index(1) >= fd->hints->cb_nodes (1) fd_size=240822704 off=240861600 Error in ADIOI_Calc_aggregator(): rank_index(1) >= fd->hints->cb_nodes (1) fd_size=240822704 off=240870000 [node0:07430] 1 more process has sent help message help-mpi-api.txt / mpi-abort [node0:07430] Set MCA parameter "orte_base_help_aggregate" to 0 to see all help / error messages

MPI并行程序运行时报错,自己无法解决,求助

请教各位关于MPI并行的一个错误:op_read error on left context: Undefined dynamic error code unable to read the cmd header on the left context, Undefined dynamic error code. 请问这种MPI并行程序运行时报的错误可能是由什么原因造成的,程序本身的原因还是运行环境有问题,或者其它?之前自己遇到过一次,也是停在13000步左右,但是又运行程序侥幸算完了。这次在计算到4000步左右的时候停了,重开程序只算到14000步这里就停了(总共要算16384步)。

MPI通信问题,哪儿出错了,大神帮着看看

#include <stdio.h> #include <stdlib.h> #include <mpi.h> #define ARRAY_LENGTH 10 void Create_Array(int* arr,int len) { int i,j; printf("\nCreating Array."); for(i=0;i<len;i++) { arr[i] = random() % (ARRAY_LENGTH * 10); if((i%(ARRAY_LENGTH/10)) == 0) printf("."); } printf("DONE!\n"); } int main(int argc,char* argv[]) { int myid; int numprocs; MPI_Status status; int i,j; MPI_Init(&argc,&argv); MPI_Comm_rank(MPI_COMM_WORLD,&myid); MPI_Comm_size(MPI_COMM_WORLD,&numprocs); int len = ARRAY_LENGTH / numprocs; int* array = (int *)malloc(sizeof(int) * ARRAY_LENGTH); if(myid == 0) { Create_Array(array,ARRAY_LENGTH); //产生待排序数组 for(i=0;i<10;i++) printf(" %d ",array[i]); for(i=1;i<numprocs;i++) { MPI_Send((array+(i-1)*len), len, MPI_INT, i, 99, MPI_COMM_WORLD); printf("\nmyid is %d \n",myid); for(j=0;j<len;j++) printf(" %d ",array[j + (i-1)*len]); printf("\n"); } //printf("here!"); MPI_Barrier(MPI_COMM_WORLD); //quicksort(array,(numprocs-1)*len,ARRAY_LENGTH-1); MPI_Barrier(MPI_COMM_WORLD); } if(myid != 0) { int* buffer = (int *)malloc(sizeof(int) * len); MPI_Recv(&buffer, len, MPI_INT, myid, 99, MPI_COMM_WORLD, &status); printf("here!");//MPI_Barrier(MPI_COMM_WORLD); printf("myid is %d",myid); for(j=0;j<len;j++) printf(" %d ",buffer[j]); printf("\n"); } MPI_Finalize(); return 0; } ``` ``` 我的MPI_Send和MPI_Recv哪儿不对啊?

Cygwin下Fortran mpi 代码运行报错,请问是安装时少选择了文件吗?

Cygwin mpi 代码运行报错,请问是安装时少选择了文件吗? Fortran90代码如下: PROGRAM TUTE2Q1 IMPLICIT NONE INCLUDE 'mpif.h' ! Variable declartion INTEGER :: i,pid,nprocs,ierr CALL MPI_INIT(ierr) ! Initialize MPI Program CALL MPI_COMM_SIZE(MPI_COMM_WORLD,nprocs,ierr) ! Get Size of Communicator (Number of procs) CALL MPI_COMM_RANK(MPI_COMM_WORLD,pid,ierr) ! Get Rank of Communicator (proc id) ! If root write header IF (pid.EQ.0) THEN WRITE(*,1100) "N Procs","PID","Message" ENDIF ! Synchronize CALL MPI_BARRIER(MPI_COMM_WORLD,ierr) ! Write out sequentially DO i = 0,nprocs-1 IF (pid.EQ.i) THEN ! Write out data WRITE(*,1200) nprocs,pid,"Hello World" ENDIF ! Synchronize CALL MPI_BARRIER(MPI_COMM_WORLD,ierr) ENDDO 1100 FORMAT(3(A12,1x)) 1200 FORMAT(2(I12.1,1x),A12) ! Finalize MPI program CALL MPI_FINALIZE(ierr) END PROGRAM TUTE2Q1

MPI单机运行时,mpirun一直出现这种问题,

=================================================================================== = BAD TERMINATION OF ONE OF YOUR APPLICATION PROCESSES = PID 2660 RUNNING AT frame-UX430UNR = EXIT CODE: 9 = CLEANING UP REMAINING PROCESSES = YOU CAN IGNORE THE BELOW CLEANUP MESSAGES =================================================================================== YOUR APPLICATION TERMINATED WITH THE EXIT STRING: Killed (signal 9) This typically refers to a problem with your application. Please see the FAQ page for debugging suggestions

如果我想在vs2010上运行mpi程序时控制用多少个进程运行,应该怎么做?

是在vs2010上直接控制,不是在mpich2上通过wmpiexe.exe程序控制,十分感谢!。。。。。。。。。

mpi独立进程间的通信无法实现

客户端检测不到服务端发布的服务名 源代码: 客户端程序: #include<mpi.h> #include<stdio.h> #include<stdlib.h> #include<string.h> int main(int argc, wchar_t **argv) { int errs = 0; wchar_t port_name[MPI_MAX_PORT_NAME], port_name_out[MPI_MAX_PORT_NAME]; wchar_t serv_name[256]; int merr, mclass; wchar_t errmsg[MPI_MAX_ERROR_STRING]; char outstr[1024]; char sb[1024]; char rb[1024]; int msglen; MPI_Status stat; int rank, newrank, flag; MPI_Comm newcomm; MPI_Init(&argc, &argv); flag = 123; wcscpy_s(serv_name, L"MyTest"); MPI_Comm_rank(MPI_COMM_WORLD, &rank); MPI_Barrier(MPI_COMM_WORLD); merr = MPI_Lookup_name(serv_name, MPI_INFO_NULL, port_name_out); if (merr) { errs++; MPI_Error_string(merr, errmsg, &msglen); printf("Error in Lookup name:\"%ls\"\n", errmsg); fflush(stdout); } else { sprintf_s(outstr, "rank:%d,looked service for:%ls", rank, port_name_out); fprintf(stdout, "l%s\n", outstr); } sprintf_s(outstr, "Grank:%d,Trying connecting to server", rank); fprintf(stdout, "%ls\n", outstr); MPI_Comm_connect(port_name_out, MPI_INFO_NULL, 0, MPI_COMM_SELF, &newcomm); MPI_Comm_rank(newcomm, &newrank); sprintf_s(outstr, "Grank:%d,Lrank%d,connected to server", rank, newrank); fprintf(stdout, "%ls\n", outstr); sprintf_s(outstr, "Grank:%d,Lrank%d,requesting service...", rank, newrank); fprintf(stdout, "%ls\n", outstr); sprintf_s(sb, "Grank:%d,Lrank%d,require", rank, newrank); msglen = strlen(sb); MPI_Send(sb, msglen, MPI_CHAR, 0, flag, newcomm); MPI_Barrier(MPI_COMM_WORLD); MPI_Comm_disconnect(&newcomm); MPI_Finalize(); return 0; } 服务端程序: #include<mpi.h> #include<stdio.h> #include<stdlib.h> #include<string.h> int main(int argc, wchar_t *argv[]) { int errs = 0; wchar_t port_name[MPI_MAX_PORT_NAME], port_name_out[MPI_MAX_PORT_NAME]; wchar_t serv_name[256]; int merr, mclass; wchar_t errmsg[MPI_MAX_ERROR_STRING]; char outstr[1024]; char sb[1024]; char rb[1024]; int msglen; MPI_Status stat; int rank, newrank, flag; MPI_Comm newcomm; MPI_Init(&argc, &argv); MPI_Comm_rank(MPI_COMM_WORLD, &rank); wcscpy_s(serv_name, L"MyTest"); MPI_Comm_set_errhandler(MPI_COMM_WORLD, MPI_ERRORS_RETURN); flag = 123; newrank = 0; sprintf_s(sb, "Grank:%d,Lrank:%d,require", rank, newrank); msglen = strlen(sb); fprintf(stdout, "process:%d,opening port....\n", rank); merr = MPI_Open_port(MPI_INFO_NULL, port_name_out); fprintf(stdout, "process:%d,port opened,with<%ls>\n", rank, port_name_out); merr = MPI_Publish_name(serv_name, MPI_INFO_NULL, port_name_out); if (merr) { errs++; MPI_Error_string(merr, errmsg, &msglen); printf("Error in publish_name:\"%ls\"\n", errmsg); fflush(stdout); } MPI_Barrier(MPI_COMM_WORLD); fprintf(stdout, "process:%d,accepting connection on :%ls\n", rank, port_name_out); merr = MPI_Comm_accept(port_name_out, MPI_INFO_NULL, 0, MPI_COMM_SELF, &newcomm); fprintf(stdout, "process:%d,accepted a connection on %ls\n", rank, port_name_out); MPI_Comm_rank(newcomm, &newrank); sprintf_s(outstr, "Grank:%d,Lrank%d,receiving", rank, newrank); fprintf(stdout, "%s\n", outstr); MPI_Recv(rb, msglen, MPI_CHAR, 0, flag, newcomm, &stat); sprintf_s(outstr, "Grank:%d,Lrank%d,received<--%ls", rank, newrank, rb); fprintf(stdout, "%s\n", outstr); MPI_Barrier(MPI_COMM_WORLD); fprintf(stdout, "server barrier after receiving passed\n"); merr = MPI_Unpublish_name(serv_name, MPI_INFO_NULL, port_name_out); fprintf(stdout, "server after unpublish name\n"); if(merr) { errs++; MPI_Error_string(merr, errmsg, &msglen); printf("Error in Unpublish name:\"%ls\"\n", errmsg); fflush(stdout); } MPI_Comm_disconnect(&newcomm); fprintf(stdout, "server after disconnect\n"); MPI_Finalize(); return 0; }

MPI Maelstrom

Description BIT has recently taken delivery of their new supercomputer, a 32 processor Apollo Odyssey distributed shared memory machine with a hierarchical communication subsystem. Valentine McKee's research advisor, Jack Swigert, has asked her to benchmark the new system. ``Since the Apollo is a distributed shared memory machine, memory access and communication times are not uniform,'' Valentine told Swigert. ``Communication is fast between processors that share the same memory subsystem, but it is slower between processors that are not on the same subsystem. Communication between the Apollo and machines in our lab is slower yet.'' ``How is Apollo's port of the Message Passing Interface (MPI) working out?'' Swigert asked. ``Not so well,'' Valentine replied. ``To do a broadcast of a message from one processor to all the other n-1 processors, they just do a sequence of n-1 sends. That really serializes things and kills the performance.'' ``Is there anything you can do to fix that?'' ``Yes,'' smiled Valentine. ``There is. Once the first processor has sent the message to another, those two can then send messages to two other hosts at the same time. Then there will be four hosts that can send, and so on.'' ``Ah, so you can do the broadcast as a binary tree!'' ``Not really a binary tree -- there are some particular features of our network that we should exploit. The interface cards we have allow each processor to simultaneously send messages to any number of the other processors connected to it. However, the messages don't necessarily arrive at the destinations at the same time -- there is a communication cost involved. In general, we need to take into account the communication costs for each link in our network topologies and plan accordingly to minimize the total time required to do a broadcast.'' Input The input will describe the topology of a network connecting n processors. The first line of the input will be n, the number of processors, such that 1 <= n <= 100. The rest of the input defines an adjacency matrix, A. The adjacency matrix is square and of size n x n. Each of its entries will be either an integer or the character x. The value of A(i,j) indicates the expense of sending a message directly from node i to node j. A value of x for A(i,j) indicates that a message cannot be sent directly from node i to node j. Note that for a node to send a message to itself does not require network communication, so A(i,i) = 0 for 1 <= i <= n. Also, you may assume that the network is undirected (messages can go in either direction with equal overhead), so that A(i,j) = A(j,i). Thus only the entries on the (strictly) lower triangular portion of A will be supplied. The input to your program will be the lower triangular section of A. That is, the second line of input will contain one entry, A(2,1). The next line will contain two entries, A(3,1) and A(3,2), and so on. Output Your program should output the minimum communication time required to broadcast a message from the first processor to all the other processors. Sample Input 5 50 30 5 100 20 50 10 x x 10 Sample Output 35

C语言MPI 出现 segmentation fault: 11

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mpi在多节点上的运行问题

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为什么VC6.0中编译的mpi可执行文件,在MPICH运行时,到printf(“*“)时输出不了*

我看到有的MPI程序用的是fprintf,如 fprintf(stderr,"Process %d on %s\n",myid, processor_name); fflush(stderr); 这个是什么?一定要用这个吗?不是吧,我看到有的MPI程序用printf也可以,这是为什么???该怎么办啊

MPI 求π的程序,谢谢大神

``` int main(argc,argv) int argc; char *argv[]; { int done = 0, n, myid, numprocs, i, rc; double PI25DT = 3.141592653589793238462643; double mypi, pi, h, sum, x, a; MPI_Init(&argc,&argv); MPI_Comm_size(MPI_COMM_WORLD,&numprocs); MPI_Comm_rank(MPI_COMM_WORLD,&myid); while (!done) { if (myid == 0) { printf("Enter the number of intervals: (0 quits) "); scanf("%d", &n); } //root MPI_Bcast(&n, 1, MPI_INT, 0, MPI_COMM_WORLD); if (n == 0) break; h = 1.0 / (double) n; // width of each sub sum = 0.0; for (i = myid + 1; i <= n; i += numprocs) // **这个 for-loop 里面的为什么是 i <= n; i += numprocs? 怎么理解这里?** { x = h * ((double)i - 0.5); sum += 4.0 / (1.0 + x*x); } mypi = h * sum; MPI_Reduce(&mypi, &pi, 1, MPI_DOUBLE, MPI_SUM, 0, MPI_COMM_WORLD); if (myid == 0) printf("pi is approximately %.16f, Error is %.16f\n", pi, fabs(pi - PI25DT)); } MPI_Finalize(); } ``` 哪个大神可以给我解释下这个算法的原理吗? 就好像哪个 for loop 为什么是 i += numprocs, 还有我不是很了解 MPI_BCAST AND MPI_REDUCE 在这里是怎么运行的。谢谢啦

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安装mpi出现问题,求大神帮忙

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