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mirror of https://github.com/paboyle/Grid.git synced 2025-06-12 20:27:06 +01:00

Binary IO file for generic Grid array parallel I/O.

Number of IO MPI tasks can be varied by selecting which
dimensions use parallel IO and which dimensions use Serial send to boss
I/O.

Thus can neck down from, say 1024 nodes = 4x4x8x8 to {1,8,32,64,128,256,1024} nodes
doing the I/O.

Interpolates nicely between ALL nodes write their data, a single boss per time-plane
in processor space [old UKQCD fortran code did this], and a single node doing all I/O.

Not sure I have the transfer sizes big enough and am not overly convinced fstream
is guaranteed to not give buffer inconsistencies unless I set streambuf size to zero.

Practically it has worked on 8 tasks, 2x1x2x2 writing /cloning NERSC configurations
on my MacOS + OpenMPI and Clang environment.

It is VERY easy to switch to pwrite at a later date, and also easy to send x-strips around from
each node in order to gather bigger chunks at the syscall level.

That would push us up to the circa 8x 18*4*8 == 4KB size write chunk, and by taking, say, x/y non
parallel we get to 16MB contiguous chunks written in multi 4KB transactions
per IOnode in 64^3 lattices for configuration I/O.

I suspect this is fine for system performance.
This commit is contained in:
Peter Boyle
2015-08-26 13:40:29 +01:00
parent 612957f057
commit dc814f30da
14 changed files with 840 additions and 410 deletions

View File

@ -87,6 +87,14 @@ class CartesianCommunicator {
void *recv,
int recv_from_rank,
int bytes);
void RecvFrom(void *recv,
int recv_from_rank,
int bytes);
void SendTo(void *xmit,
int xmit_to_rank,
int bytes);
void SendToRecvFromBegin(std::vector<CommsRequest_t> &list,
void *xmit,
int xmit_to_rank,

View File

@ -81,13 +81,30 @@ void CartesianCommunicator::SendToRecvFrom(void *xmit,
SendToRecvFromBegin(reqs,xmit,dest,recv,from,bytes);
SendToRecvFromComplete(reqs);
}
void CartesianCommunicator::RecvFrom(void *recv,
int from,
int bytes)
{
MPI_Status stat;
int ierr=MPI_Recv(recv, bytes, MPI_CHAR,from,from,communicator,&stat);
assert(ierr==0);
}
void CartesianCommunicator::SendTo(void *xmit,
int dest,
int bytes)
{
int rank = _processor; // used for tag; must know who it comes from
int ierr = MPI_Send(xmit, bytes, MPI_CHAR,dest,_processor,communicator);
assert(ierr==0);
}
// Basic Halo comms primitive
void CartesianCommunicator::SendToRecvFromBegin(std::vector<CommsRequest_t> &list,
void *xmit,
int dest,
void *recv,
int from,
int bytes)
void CartesianCommunicator::SendToRecvFromBegin(std::vector<CommsRequest_t> &list,
void *xmit,
int dest,
void *recv,
int from,
int bytes)
{
MPI_Request xrq;
MPI_Request rrq;
@ -100,7 +117,6 @@ void CartesianCommunicator::SendToRecvFrom(void *xmit,
list.push_back(xrq);
list.push_back(rrq);
}
void CartesianCommunicator::SendToRecvFromComplete(std::vector<CommsRequest_t> &list)
{

View File

@ -22,6 +22,20 @@ void CartesianCommunicator::GlobalSum(double &){}
void CartesianCommunicator::GlobalSum(uint32_t &){}
void CartesianCommunicator::GlobalSumVector(double *,int N){}
void CartesianCommunicator::RecvFrom(void *recv,
int recv_from_rank,
int bytes)
{
assert(0);
}
void CartesianCommunicator::SendTo(void *xmit,
int xmit_to_rank,
int bytes)
{
assert(0);
}
// Basic Halo comms primitive -- should never call in single node
void CartesianCommunicator::SendToRecvFrom(void *xmit,
int dest,