TECA
The Toolkit for Extreme Climate Analysis
teca_index_reduce Class Referenceabstract

Base class for MPI+threads+GPUs map reduce reduction over a set of indices. More...

#include <teca_index_reduce.h>

Inheritance diagram for teca_index_reduce:
Collaboration diagram for teca_index_reduce:

Public Member Functions

 teca_index_reduce (const teca_index_reduce &src)=delete
 
 teca_index_reduce (teca_index_reduce &&src)=delete
 
teca_index_reduceoperator= (const teca_index_reduce &src)=delete
 
teca_index_reduceoperator= (teca_index_reduce &&src)=delete
 
start_index

set the first index to process. Indices go from 0 to n-1. The default start_index is 0.

void set_start_index (const long &v)
 
const long & get_start_index () const
 
end_index

set the last index to process. Indices go from 0 to n-1. The default end_index is -1, which is used to indicate all indices should be processed.

void set_end_index (const long &v)
 
const long & get_end_index () const
 
- Public Member Functions inherited from teca_threaded_algorithm
std::shared_ptr< teca_threaded_algorithmshared_from_this ()
 
std::shared_ptr< teca_threaded_algorithm const > shared_from_this () const
 
 teca_threaded_algorithm (const teca_threaded_algorithm &src)=delete
 
 teca_threaded_algorithm (teca_threaded_algorithm &&src)=delete
 
teca_threaded_algorithmoperator= (const teca_threaded_algorithm &src)=delete
 
teca_threaded_algorithmoperator= (teca_threaded_algorithm &&src)=delete
 
const char * get_class_name () const override
 
void set_thread_pool_size (int n_threads)
 
unsigned int get_thread_pool_size () const noexcept
 Get the number of threads in the pool. More...
 
void set_data_request_queue (const p_teca_data_request_queue &queue)
 explicitly set the thread pool to submit requests to More...
 
void set_verbose (const int &v)
 
const int & get_verbose () const
 
void set_bind_threads (const int &v)
 
const int & get_bind_threads () const
 
void set_stream_size (const int &v)
 
const int & get_stream_size () const
 
void set_poll_interval (const long long &v)
 
const long long & get_poll_interval () const
 
void set_threads_per_cuda_device (const int &v)
 
const int & get_threads_per_cuda_device () const
 
- Public Member Functions inherited from teca_algorithm
 teca_algorithm (const teca_algorithm &src)=delete
 
 teca_algorithm (teca_algorithm &&src)=delete
 
teca_algorithmoperator= (const teca_algorithm &src)=delete
 
teca_algorithmoperator= (teca_algorithm &&src)=delete
 
void set_communicator (MPI_Comm comm)
 
MPI_Comm get_communicator ()
 get the active communicator More...
 
virtual teca_algorithm_output_port get_output_port (unsigned int port=0)
 
void set_input_connection (const teca_algorithm_output_port &port)
 set an input to this algorithm More...
 
virtual void set_input_connection (unsigned int id, const teca_algorithm_output_port &port)
 set an input to this algorithm More...
 
virtual void remove_input_connection (unsigned int id)
 remove input connections More...
 
void clear_input_connections ()
 remove all input connections More...
 
const_p_teca_dataset get_output_data (unsigned int port=0)
 
void pop_cache (unsigned int port=0, int top=0)
 
void set_cache_size (unsigned int n)
 set the cache size. the default is 1. (threadsafe) More...
 
virtual int update ()
 execute the pipeline from this instance up. More...
 
virtual int update (unsigned int port)
 execute the pipeline from this instance up. More...
 
virtual teca_metadata update_metadata (unsigned int port=0)
 get meta data considering this instance up. More...
 
void set_executive (p_teca_algorithm_executive exe)
 set the executive More...
 
p_teca_algorithm_executive get_executive ()
 get the executive More...
 
virtual void to_stream (std::ostream &s) const
 
virtual void from_stream (std::istream &s)
 deserialize from the stream. More...
 
void set_verbose (const int &v)
 
const int & get_verbose () const
 

Protected Member Functions

virtual p_teca_dataset reduce (int device_id, const const_p_teca_dataset &left, const const_p_teca_dataset &right)=0
 
virtual p_teca_dataset finalize (int device_id, const const_p_teca_dataset &ds)
 
virtual std::vector< teca_metadatainitialize_upstream_request (unsigned int port, const std::vector< teca_metadata > &input_md, const teca_metadata &request)=0
 
virtual teca_metadata initialize_output_metadata (unsigned int port, const std::vector< teca_metadata > &input_md)=0
 
std::vector< teca_metadataget_upstream_request (unsigned int port, const std::vector< teca_metadata > &input_md, const teca_metadata &request) override
 
const_p_teca_dataset execute (unsigned int port, const std::vector< const_p_teca_dataset > &input_data, const teca_metadata &request, int streaming) override
 
teca_metadata get_output_metadata (unsigned int port, const std::vector< teca_metadata > &input_md) override
 consumes index metadata, and partitions indices across MPI ranks. More...
 
virtual const_p_teca_dataset execute (unsigned int port, const std::vector< const_p_teca_dataset > &input_data, const teca_metadata &request, int streaming)
 
const_p_teca_dataset execute (unsigned int port, const std::vector< const_p_teca_dataset > &input_data, const teca_metadata &request) override
 
- Protected Member Functions inherited from teca_threaded_algorithm
const_p_teca_dataset execute (unsigned int port, const std::vector< const_p_teca_dataset > &input_data, const teca_metadata &request) override
 
const_p_teca_dataset request_data (teca_algorithm_output_port &port, const teca_metadata &request) override
 
- Protected Member Functions inherited from teca_algorithm
void set_number_of_input_connections (unsigned int n)
 
void set_number_of_output_ports (unsigned int n)
 
virtual void set_modified ()
 
void set_modified (unsigned int port)
 an overload to set_modified by port More...
 
virtual teca_metadata get_cache_key (unsigned int port, const teca_metadata &request) const
 
virtual teca_metadata get_output_metadata (teca_algorithm_output_port &current)
 
virtual int validate_cache (teca_algorithm_output_port &current)
 
virtual void clear_modified (teca_algorithm_output_port current)
 
const_p_teca_dataset get_output_data (unsigned int port, const teca_metadata &request)
 
int cache_output_data (unsigned int port, const teca_metadata &request, const_p_teca_dataset &data)
 
void clear_cache (unsigned int port)
 clear the cache on the given output port More...
 
unsigned int get_number_of_input_connections ()
 get the number of input connections More...
 
teca_algorithm_output_portget_input_connection (unsigned int i)
 
void clear_modified (unsigned int port)
 clear the modified flag on the i'th output More...
 
int get_modified (unsigned int port) const
 return the output port's modified flag value More...
 

Additional Inherited Members

- Static Public Member Functions inherited from teca_threaded_algorithm
static p_teca_threaded_algorithm New ()
 
- Protected Attributes inherited from teca_algorithm
int verbose
 

Detailed Description

Base class for MPI+threads+GPUs map reduce reduction over a set of indices.

The available indices are partitioned across MPI ranks and threads. Threads are assigned to service GPUs or CPU cores. One can restrict operation to a range of time steps by setting first and last indices to process.

metadata keys:

key description
index_initializer_key Holds the name of the key that tells how many
indices are available. The named key must also
be present and should contain the number of
indices available.
index_request_key Holds the name of the key used to request a
specific index. Requests are generated with this
name set to a specific index to be processed
some upstream algorithm is expected to produce
the data associated with the given index.

Member Function Documentation

◆ execute()

const_p_teca_dataset teca_index_reduce::execute ( unsigned int  port,
const std::vector< const_p_teca_dataset > &  input_data,
const teca_metadata request,
int  streaming 
)
overrideprotectedvirtual

Uses MPI communication to collect remote data for required for the reduction. Calls ::reduce with each pair of datasets until the datasets across all threads and ranks are reduced into a single dataset, which is returned.

Reimplemented from teca_threaded_algorithm.

◆ finalize()

virtual p_teca_dataset teca_index_reduce::finalize ( int  device_id,
const const_p_teca_dataset &  ds 
)
inlineprotectedvirtual

An override that is called when the reduction is complete. The default implementation passes data through. This might be used for instance to complete an averaging operation where the ::reduce override sums the data and the ::finalize override scales by 1/N, where N is the number of datasets summed.

Parameters
[in]device_idThe device that should be used for the reduction. A value of -1 indicates the CPU should be used.
[in]dsthe reduced dataset
Returns
a dataset that has been finalized.

Reimplemented in teca_programmable_reduce.

◆ get_end_index()

const long& teca_index_reduce::get_end_index ( ) const
inline

Get the value of the end_index algorithm property

◆ get_output_metadata()

teca_metadata teca_index_reduce::get_output_metadata ( unsigned int  port,
const std::vector< teca_metadata > &  input_md 
)
overrideprotectedvirtual

consumes index metadata, and partitions indices across MPI ranks.

Reimplemented from teca_algorithm.

◆ get_start_index()

const long& teca_index_reduce::get_start_index ( ) const
inline

Get the value of the start_index algorithm property

◆ get_upstream_request()

std::vector<teca_metadata> teca_index_reduce::get_upstream_request ( unsigned int  port,
const std::vector< teca_metadata > &  input_md,
const teca_metadata request 
)
overrideprotectedvirtual

Generates an upstream request for each index. will call initialize_upstream_request and apply the results to all time steps.

Reimplemented from teca_algorithm.

◆ initialize_output_metadata()

virtual teca_metadata teca_index_reduce::initialize_output_metadata ( unsigned int  port,
const std::vector< teca_metadata > &  input_md 
)
protectedpure virtual

An override that allows derived classes to report what they can produce. this will be called from ::get_output_metadata which will strip out time and partition time across MPI ranks.

Implemented in teca_programmable_reduce, teca_table_reduce, and teca_cf_time_axis_data_reduce.

◆ initialize_upstream_request()

virtual std::vector<teca_metadata> teca_index_reduce::initialize_upstream_request ( unsigned int  port,
const std::vector< teca_metadata > &  input_md,
const teca_metadata request 
)
protectedpure virtual

An override that allows derived classes to generate upstream requests that will be applied over all time steps. derived classes implement this method instead of ::get_upstream_request, which here is already implemented to handle the application of requests over the index set.

Implemented in teca_programmable_reduce, teca_table_reduce, and teca_cf_time_axis_data_reduce.

◆ reduce()

virtual p_teca_dataset teca_index_reduce::reduce ( int  device_id,
const const_p_teca_dataset &  left,
const const_p_teca_dataset &  right 
)
protectedpure virtual

An override that implements the reduction. given two datasets a left and right, reduce into a single dataset and return.

Parameters
[in]device_idThe device that should be used for the reduction. A value of -1 indicates the CPU should be used.
[in]lefta dataset to reduce
[in]righta dataset to reduce
Returns
the reduced dataset

Implemented in teca_programmable_reduce, teca_table_reduce, and teca_cf_time_axis_data_reduce.

◆ set_end_index()

void teca_index_reduce::set_end_index ( const long &  v)
inline

Set the value of the end_index algorithm property

◆ set_start_index()

void teca_index_reduce::set_start_index ( const long &  v)
inline

Set the value of the start_index algorithm property


The documentation for this class was generated from the following file: