2017-04-05 14:41:04 +01:00
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/*************************************************************************************
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2016-01-02 14:51:32 +00:00
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Grid physics library, www.github.com/paboyle/Grid
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Source file: ./lib/parallelIO/NerscIO.h
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Copyright (C) 2015
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2017-04-05 14:41:04 +01:00
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Author: Matt Spraggs <matthew.spraggs@gmail.com>
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Author: Peter Boyle <paboyle@ph.ed.ac.uk>
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Author: paboyle <paboyle@ph.ed.ac.uk>
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2016-01-02 14:51:32 +00:00
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This program is free software; you can redistribute it and/or modify
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it under the terms of the GNU General Public License as published by
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the Free Software Foundation; either version 2 of the License, or
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(at your option) any later version.
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This program is distributed in the hope that it will be useful,
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but WITHOUT ANY WARRANTY; without even the implied warranty of
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MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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GNU General Public License for more details.
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You should have received a copy of the GNU General Public License along
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with this program; if not, write to the Free Software Foundation, Inc.,
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51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
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See the full license in the file "LICENSE" in the top level distribution directory
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2017-04-05 14:41:04 +01:00
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*************************************************************************************/
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/* END LEGAL */
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2015-04-22 22:46:48 +01:00
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#ifndef GRID_NERSC_IO_H
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#define GRID_NERSC_IO_H
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namespace Grid {
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2017-04-05 14:41:04 +01:00
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namespace QCD {
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using namespace Grid;
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////////////////////////////////////////////////////////////////////////////////
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// Write and read from fstream; comput header offset for payload
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////////////////////////////////////////////////////////////////////////////////
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class NerscIO : public BinaryIO {
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public:
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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.
2015-08-26 13:40:29 +01:00
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2017-04-05 14:41:04 +01:00
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static inline void truncate(std::string file){
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std::ofstream fout(file,std::ios::out);
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}
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2016-05-04 20:14:38 +01:00
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2017-06-11 23:14:10 +01:00
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static inline unsigned int writeHeader(FieldMetaData &field,std::string file)
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2017-04-05 14:41:04 +01:00
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{
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std::ofstream fout(file,std::ios::out|std::ios::in);
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fout.seekp(0,std::ios::beg);
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2017-06-11 23:14:10 +01:00
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dump_meta_data(field, fout);
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2017-04-05 14:41:04 +01:00
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field.data_start = fout.tellp();
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return field.data_start;
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}
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// for the header-reader
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2017-06-11 23:14:10 +01:00
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static inline int readHeader(std::string file,GridBase *grid, FieldMetaData &field)
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2017-04-05 14:41:04 +01:00
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{
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2018-03-16 21:54:56 +00:00
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uint64_t offset=0;
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2017-04-05 14:41:04 +01:00
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std::map<std::string,std::string> header;
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std::string line;
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//////////////////////////////////////////////////
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// read the header
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//////////////////////////////////////////////////
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std::ifstream fin(file);
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getline(fin,line); // read one line and insist is
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removeWhitespace(line);
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std::cout << GridLogMessage << "* " << line << std::endl;
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assert(line==std::string("BEGIN_HEADER"));
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do {
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getline(fin,line); // read one line
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std::cout << GridLogMessage << "* "<<line<< std::endl;
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int eq = line.find("=");
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if(eq >0) {
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2015-04-22 22:46:48 +01:00
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std::string key=line.substr(0,eq);
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std::string val=line.substr(eq+1);
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removeWhitespace(key);
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removeWhitespace(val);
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header[key] = val;
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}
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2017-04-05 14:41:04 +01:00
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} while( line.find("END_HEADER") == std::string::npos );
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2015-04-22 22:46:48 +01:00
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2017-04-05 14:41:04 +01:00
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field.data_start = fin.tellg();
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2015-04-22 22:46:48 +01:00
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2017-04-05 14:41:04 +01:00
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//////////////////////////////////////////////////
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// chomp the values
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//////////////////////////////////////////////////
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field.hdr_version = header["HDR_VERSION"];
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field.data_type = header["DATATYPE"];
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field.storage_format = header["STORAGE_FORMAT"];
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2015-04-22 22:46:48 +01:00
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2017-04-05 14:41:04 +01:00
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field.dimension[0] = std::stol(header["DIMENSION_1"]);
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field.dimension[1] = std::stol(header["DIMENSION_2"]);
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field.dimension[2] = std::stol(header["DIMENSION_3"]);
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field.dimension[3] = std::stol(header["DIMENSION_4"]);
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assert(grid->_ndimension == 4);
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for(int d=0;d<4;d++){
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assert(grid->_fdimensions[d]==field.dimension[d]);
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2015-04-22 22:46:48 +01:00
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}
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2017-04-05 14:41:04 +01:00
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field.link_trace = std::stod(header["LINK_TRACE"]);
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field.plaquette = std::stod(header["PLAQUETTE"]);
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field.boundary[0] = header["BOUNDARY_1"];
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field.boundary[1] = header["BOUNDARY_2"];
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field.boundary[2] = header["BOUNDARY_3"];
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field.boundary[3] = header["BOUNDARY_4"];
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field.checksum = std::stoul(header["CHECKSUM"],0,16);
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field.ensemble_id = header["ENSEMBLE_ID"];
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field.ensemble_label = header["ENSEMBLE_LABEL"];
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field.sequence_number = std::stol(header["SEQUENCE_NUMBER"]);
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field.creator = header["CREATOR"];
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field.creator_hardware = header["CREATOR_HARDWARE"];
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field.creation_date = header["CREATION_DATE"];
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field.archive_date = header["ARCHIVE_DATE"];
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field.floating_point = header["FLOATING_POINT"];
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return field.data_start;
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2015-04-22 22:46:48 +01:00
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}
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2017-06-11 23:14:10 +01:00
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/////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
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// Now the meat: the object readers
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/////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
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2015-04-22 22:46:48 +01:00
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2017-06-01 22:37:26 +01:00
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template<class vsimd>
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2017-06-11 23:14:10 +01:00
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static inline void readConfiguration(Lattice<iLorentzColourMatrix<vsimd> > &Umu,
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FieldMetaData& header,
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std::string file)
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2017-06-01 22:37:26 +01:00
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{
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2017-04-05 14:41:04 +01:00
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typedef Lattice<iLorentzColourMatrix<vsimd> > GaugeField;
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2015-04-22 22:46:48 +01:00
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2017-04-05 14:41:04 +01:00
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GridBase *grid = Umu._grid;
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2018-03-16 21:54:56 +00:00
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uint64_t offset = readHeader(file,Umu._grid,header);
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2015-04-22 22:46:48 +01:00
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2017-06-11 23:14:10 +01:00
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FieldMetaData clone(header);
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2015-04-22 22:46:48 +01:00
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2017-04-05 14:41:04 +01:00
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std::string format(header.floating_point);
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2015-04-22 22:46:48 +01:00
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2017-04-05 14:41:04 +01:00
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int ieee32big = (format == std::string("IEEE32BIG"));
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int ieee32 = (format == std::string("IEEE32"));
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int ieee64big = (format == std::string("IEEE64BIG"));
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int ieee64 = (format == std::string("IEEE64"));
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2015-04-22 22:46:48 +01:00
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2017-06-11 23:14:10 +01:00
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uint32_t nersc_csum,scidac_csuma,scidac_csumb;
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2017-04-05 14:41:04 +01:00
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// depending on datatype, set up munger;
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// munger is a function of <floating point, Real, data_type>
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if ( header.data_type == std::string("4D_SU3_GAUGE") ) {
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2017-06-01 22:37:26 +01:00
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if ( ieee32 || ieee32big ) {
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2017-06-11 23:14:10 +01:00
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BinaryIO::readLatticeObject<iLorentzColourMatrix<vsimd>, LorentzColour2x3F>
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(Umu,file,Gauge3x2munger<LorentzColour2x3F,LorentzColourMatrix>(), offset,format,
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nersc_csum,scidac_csuma,scidac_csumb);
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2017-06-01 22:37:26 +01:00
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}
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if ( ieee64 || ieee64big ) {
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2017-06-11 23:14:10 +01:00
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BinaryIO::readLatticeObject<iLorentzColourMatrix<vsimd>, LorentzColour2x3D>
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(Umu,file,Gauge3x2munger<LorentzColour2x3D,LorentzColourMatrix>(),offset,format,
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nersc_csum,scidac_csuma,scidac_csumb);
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2017-06-01 22:37:26 +01:00
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}
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2017-04-05 14:41:04 +01:00
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} else if ( header.data_type == std::string("4D_SU3_GAUGE_3x3") ) {
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if ( ieee32 || ieee32big ) {
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2017-06-11 23:14:10 +01:00
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BinaryIO::readLatticeObject<iLorentzColourMatrix<vsimd>,LorentzColourMatrixF>
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(Umu,file,GaugeSimpleMunger<LorentzColourMatrixF,LorentzColourMatrix>(),offset,format,
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nersc_csum,scidac_csuma,scidac_csumb);
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2017-04-05 14:41:04 +01:00
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}
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if ( ieee64 || ieee64big ) {
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2017-06-11 23:14:10 +01:00
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BinaryIO::readLatticeObject<iLorentzColourMatrix<vsimd>,LorentzColourMatrixD>
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(Umu,file,GaugeSimpleMunger<LorentzColourMatrixD,LorentzColourMatrix>(),offset,format,
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nersc_csum,scidac_csuma,scidac_csumb);
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2017-04-05 14:41:04 +01:00
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}
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} else {
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assert(0);
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}
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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.
2015-08-26 13:40:29 +01:00
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2017-06-18 00:11:23 +01:00
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GaugeStatistics(Umu,clone);
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2016-02-21 14:03:21 +00:00
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2017-06-11 23:14:10 +01:00
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std::cout<<GridLogMessage <<"NERSC Configuration "<<file<<" checksum "<<std::hex<<nersc_csum<< std::dec
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2017-04-05 14:41:04 +01:00
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<<" header "<<std::hex<<header.checksum<<std::dec <<std::endl;
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std::cout<<GridLogMessage <<"NERSC Configuration "<<file<<" plaquette "<<clone.plaquette
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<<" header "<<header.plaquette<<std::endl;
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std::cout<<GridLogMessage <<"NERSC Configuration "<<file<<" link_trace "<<clone.link_trace
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<<" header "<<header.link_trace<<std::endl;
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2017-05-25 11:43:33 +01:00
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2017-05-25 13:32:24 +01:00
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if ( fabs(clone.plaquette -header.plaquette ) >= 1.0e-5 ) {
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std::cout << " Plaquette mismatch "<<std::endl;
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std::cout << Umu[0]<<std::endl;
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std::cout << Umu[1]<<std::endl;
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}
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2017-06-11 23:14:10 +01:00
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if ( nersc_csum != header.checksum ) {
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2017-05-25 13:32:24 +01:00
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std::cerr << " checksum mismatch " << std::endl;
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std::cerr << " plaqs " << clone.plaquette << " " << header.plaquette << std::endl;
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std::cerr << " trace " << clone.link_trace<< " " << header.link_trace<< std::endl;
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2017-06-11 23:14:10 +01:00
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std::cerr << " nersc_csum " <<std::hex<< nersc_csum << " " << header.checksum<< std::dec<< std::endl;
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2017-06-01 22:37:26 +01:00
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exit(0);
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2017-04-05 14:41:04 +01:00
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}
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2017-06-01 22:37:26 +01:00
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assert(fabs(clone.plaquette -header.plaquette ) < 1.0e-5 );
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assert(fabs(clone.link_trace-header.link_trace) < 1.0e-6 );
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2017-06-11 23:14:10 +01:00
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assert(nersc_csum == header.checksum );
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2017-06-01 22:37:26 +01:00
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std::cout<<GridLogMessage <<"NERSC Configuration "<<file<< " and plaquette, link trace, and checksum agree"<<std::endl;
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}
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2015-04-22 22:46:48 +01:00
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2017-04-05 14:41:04 +01:00
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template<class vsimd>
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2017-06-11 23:14:10 +01:00
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static inline void writeConfiguration(Lattice<iLorentzColourMatrix<vsimd> > &Umu,
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std::string file,
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int two_row,
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int bits32)
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2017-04-05 14:41:04 +01:00
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{
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typedef Lattice<iLorentzColourMatrix<vsimd> > GaugeField;
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2015-08-30 12:18:34 +01:00
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2017-04-05 14:41:04 +01:00
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typedef iLorentzColourMatrix<vsimd> vobj;
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typedef typename vobj::scalar_object sobj;
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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.
2015-08-26 13:40:29 +01:00
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2017-06-11 23:14:10 +01:00
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FieldMetaData header;
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///////////////////////////////////////////
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2017-04-05 14:41:04 +01:00
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// Following should become arguments
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2017-06-11 23:14:10 +01:00
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///////////////////////////////////////////
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2017-04-05 14:41:04 +01:00
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header.sequence_number = 1;
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header.ensemble_id = "UKQCD";
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header.ensemble_label = "DWF";
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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.
2015-08-26 13:40:29 +01:00
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|
|
2017-04-05 14:41:04 +01:00
|
|
|
typedef LorentzColourMatrixD fobj3D;
|
|
|
|
typedef LorentzColour2x3D fobj2D;
|
2016-10-24 15:48:22 +01:00
|
|
|
|
2017-04-05 14:41:04 +01:00
|
|
|
GridBase *grid = Umu._grid;
|
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.
2015-08-26 13:40:29 +01:00
|
|
|
|
2017-06-11 23:14:10 +01:00
|
|
|
GridMetaData(grid,header);
|
|
|
|
assert(header.nd==4);
|
2017-06-18 00:11:23 +01:00
|
|
|
GaugeStatistics(Umu,header);
|
2017-06-11 23:14:10 +01:00
|
|
|
MachineCharacteristics(header);
|
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.
2015-08-26 13:40:29 +01:00
|
|
|
|
2018-03-16 21:54:56 +00:00
|
|
|
uint64_t offset;
|
2015-04-22 22:46:48 +01:00
|
|
|
|
2017-04-05 14:41:04 +01:00
|
|
|
truncate(file);
|
2015-04-22 22:46:48 +01:00
|
|
|
|
2017-06-11 23:14:10 +01:00
|
|
|
// Sod it -- always write 3x3 double
|
|
|
|
header.floating_point = std::string("IEEE64BIG");
|
|
|
|
header.data_type = std::string("4D_SU3_GAUGE_3x3");
|
|
|
|
GaugeSimpleUnmunger<fobj3D,sobj> munge;
|
|
|
|
offset = writeHeader(header,file);
|
|
|
|
|
|
|
|
uint32_t nersc_csum,scidac_csuma,scidac_csumb;
|
|
|
|
BinaryIO::writeLatticeObject<vobj,fobj3D>(Umu,file,munge,offset,header.floating_point,
|
|
|
|
nersc_csum,scidac_csuma,scidac_csumb);
|
|
|
|
header.checksum = nersc_csum;
|
|
|
|
writeHeader(header,file);
|
|
|
|
|
2017-06-01 22:37:26 +01:00
|
|
|
std::cout<<GridLogMessage <<"Written NERSC Configuration on "<< file << " checksum "
|
|
|
|
<<std::hex<<header.checksum
|
|
|
|
<<std::dec<<" plaq "<< header.plaquette <<std::endl;
|
2017-06-11 23:14:10 +01:00
|
|
|
|
2017-04-05 14:41:04 +01:00
|
|
|
}
|
|
|
|
///////////////////////////////
|
|
|
|
// RNG state
|
|
|
|
///////////////////////////////
|
|
|
|
static inline void writeRNGState(GridSerialRNG &serial,GridParallelRNG ¶llel,std::string file)
|
|
|
|
{
|
|
|
|
typedef typename GridParallelRNG::RngStateType RngStateType;
|
2015-12-19 18:32:25 +00:00
|
|
|
|
2017-04-05 14:41:04 +01:00
|
|
|
// Following should become arguments
|
2017-06-11 23:14:10 +01:00
|
|
|
FieldMetaData header;
|
2017-04-05 14:41:04 +01:00
|
|
|
header.sequence_number = 1;
|
|
|
|
header.ensemble_id = "UKQCD";
|
|
|
|
header.ensemble_label = "DWF";
|
2015-12-19 18:32:25 +00:00
|
|
|
|
2017-04-05 14:41:04 +01:00
|
|
|
GridBase *grid = parallel._grid;
|
2015-12-19 18:32:25 +00:00
|
|
|
|
2017-06-11 23:14:10 +01:00
|
|
|
GridMetaData(grid,header);
|
|
|
|
assert(header.nd==4);
|
2017-04-05 14:41:04 +01:00
|
|
|
header.link_trace=0.0;
|
|
|
|
header.plaquette=0.0;
|
2017-06-11 23:14:10 +01:00
|
|
|
MachineCharacteristics(header);
|
2015-12-19 18:32:25 +00:00
|
|
|
|
2018-03-16 21:54:56 +00:00
|
|
|
uint64_t offset;
|
2015-12-19 18:32:25 +00:00
|
|
|
|
|
|
|
#ifdef RNG_RANLUX
|
2017-04-05 14:41:04 +01:00
|
|
|
header.floating_point = std::string("UINT64");
|
|
|
|
header.data_type = std::string("RANLUX48");
|
2017-04-01 16:25:44 +01:00
|
|
|
#endif
|
|
|
|
#ifdef RNG_MT19937
|
2017-04-05 14:41:04 +01:00
|
|
|
header.floating_point = std::string("UINT32");
|
|
|
|
header.data_type = std::string("MT19937");
|
2015-12-19 18:32:25 +00:00
|
|
|
#endif
|
2017-04-01 16:25:44 +01:00
|
|
|
#ifdef RNG_SITMO
|
2017-04-05 14:41:04 +01:00
|
|
|
header.floating_point = std::string("UINT64");
|
|
|
|
header.data_type = std::string("SITMO");
|
2015-12-19 18:32:25 +00:00
|
|
|
#endif
|
|
|
|
|
2017-04-05 14:41:04 +01:00
|
|
|
truncate(file);
|
|
|
|
offset = writeHeader(header,file);
|
2017-06-11 23:14:10 +01:00
|
|
|
uint32_t nersc_csum,scidac_csuma,scidac_csumb;
|
|
|
|
BinaryIO::writeRNG(serial,parallel,file,offset,nersc_csum,scidac_csuma,scidac_csumb);
|
|
|
|
header.checksum = nersc_csum;
|
2017-04-05 14:41:04 +01:00
|
|
|
offset = writeHeader(header,file);
|
2015-12-19 18:32:25 +00:00
|
|
|
|
2017-06-01 22:37:26 +01:00
|
|
|
std::cout<<GridLogMessage
|
|
|
|
<<"Written NERSC RNG STATE "<<file<< " checksum "
|
|
|
|
<<std::hex<<header.checksum
|
|
|
|
<<std::dec<<std::endl;
|
2015-12-19 18:32:25 +00:00
|
|
|
|
2017-04-05 14:41:04 +01:00
|
|
|
}
|
2015-12-19 18:32:25 +00:00
|
|
|
|
2017-06-11 23:14:10 +01:00
|
|
|
static inline void readRNGState(GridSerialRNG &serial,GridParallelRNG & parallel,FieldMetaData& header,std::string file)
|
2017-04-05 14:41:04 +01:00
|
|
|
{
|
|
|
|
typedef typename GridParallelRNG::RngStateType RngStateType;
|
2015-12-19 18:32:25 +00:00
|
|
|
|
2017-04-05 14:41:04 +01:00
|
|
|
GridBase *grid = parallel._grid;
|
2015-12-19 18:32:25 +00:00
|
|
|
|
2018-03-16 21:54:56 +00:00
|
|
|
uint64_t offset = readHeader(file,grid,header);
|
2015-12-19 18:32:25 +00:00
|
|
|
|
2017-06-11 23:14:10 +01:00
|
|
|
FieldMetaData clone(header);
|
2015-12-19 18:32:25 +00:00
|
|
|
|
2017-04-05 14:41:04 +01:00
|
|
|
std::string format(header.floating_point);
|
|
|
|
std::string data_type(header.data_type);
|
2015-12-19 18:32:25 +00:00
|
|
|
|
|
|
|
#ifdef RNG_RANLUX
|
2017-04-05 14:41:04 +01:00
|
|
|
assert(format == std::string("UINT64"));
|
|
|
|
assert(data_type == std::string("RANLUX48"));
|
2017-04-01 16:25:44 +01:00
|
|
|
#endif
|
|
|
|
#ifdef RNG_MT19937
|
2017-04-05 14:41:04 +01:00
|
|
|
assert(format == std::string("UINT32"));
|
|
|
|
assert(data_type == std::string("MT19937"));
|
2015-12-19 18:32:25 +00:00
|
|
|
#endif
|
2017-04-01 16:25:44 +01:00
|
|
|
#ifdef RNG_SITMO
|
2017-04-05 14:41:04 +01:00
|
|
|
assert(format == std::string("UINT64"));
|
|
|
|
assert(data_type == std::string("SITMO"));
|
2015-12-19 18:32:25 +00:00
|
|
|
#endif
|
|
|
|
|
2017-04-05 14:41:04 +01:00
|
|
|
// depending on datatype, set up munger;
|
|
|
|
// munger is a function of <floating point, Real, data_type>
|
2017-06-11 23:14:10 +01:00
|
|
|
uint32_t nersc_csum,scidac_csuma,scidac_csumb;
|
|
|
|
BinaryIO::readRNG(serial,parallel,file,offset,nersc_csum,scidac_csuma,scidac_csumb);
|
2015-12-19 18:32:25 +00:00
|
|
|
|
2017-06-11 23:14:10 +01:00
|
|
|
if ( nersc_csum != header.checksum ) {
|
|
|
|
std::cerr << "checksum mismatch "<<std::hex<< nersc_csum <<" "<<header.checksum<<std::dec<<std::endl;
|
2017-05-25 13:32:24 +01:00
|
|
|
exit(0);
|
|
|
|
}
|
2017-06-11 23:14:10 +01:00
|
|
|
assert(nersc_csum == header.checksum );
|
2015-12-19 18:32:25 +00:00
|
|
|
|
2017-04-05 14:41:04 +01:00
|
|
|
std::cout<<GridLogMessage <<"Read NERSC RNG file "<<file<< " format "<< data_type <<std::endl;
|
|
|
|
}
|
2015-12-19 18:32:25 +00:00
|
|
|
|
2017-04-05 14:41:04 +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.
2015-08-26 13:40:29 +01:00
|
|
|
|
2017-04-05 14:41:04 +01:00
|
|
|
}}
|
2015-04-22 22:46:48 +01:00
|
|
|
#endif
|