bm::optimize_plan_builder< SVect, Lock > Class Template Reference

Builder class to prepare a batch of tasks for parallel optimization of a sparse vector. More...

#include <bmsparsevec_parallel.h>

Data Structures
struct	task_batch

Public Types
typedef SVect	sparse_vector_type
typedef Lock	lock_type
typedef sparse_vector_type::bvector_type	bvector_type
typedef bvector_type::allocator_type	allocator_type
typedef bvector_type::optmode	optmode_type
typedef sparse_vector_type::statistics	sv_statistics_type

Static Public Member Functions
static void	build_plan (task_batch &batch, sparse_vector_type &sv, typename bvector_type::optmode opt_mode=bvector_type::opt_compress, typename sparse_vector_type::statistics *st=0)
	Build paralell optimization batch (of tasks) for sparse vector. More...

Detailed Description

template<typename SVect, typename Lock>
class bm::optimize_plan_builder< SVect, Lock >

Builder class to prepare a batch of tasks for parallel optimization of a sparse vector.

Definition at line 36 of file bmsparsevec_parallel.h.

Member Function Documentation

build_plan()

template<typename SVect , typename Lock >

static void bm::optimize_plan_builder< SVect, Lock >::build_plan ( task_batch &  batch, sparse_vector_type &  sv, typename bvector_type::optmode  opt_mode = bvector_type::opt_compress, typename sparse_vector_type::statistics *  st = 0  )

inlinestatic

Build paralell optimization batch (of tasks) for sparse vector.

Parameters

batch	- target batch (can be re-used for multiple vectors)
sv	- sparse vector for optimization
opt_mode	- optimization mode (see bvector<>::optmode)
st	- sparse vector statistics to compute with optimization pass (optional)

Definition at line 61 of file bmsparsevec_parallel.h.

References bm::task_batch< BVAlloc >::add(), BM_DECLARE_TEMP_BLOCK, bm::task_batch< BVAlloc >::get_task_vector(), and bm::bv_statistics::reset().

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

• bmsparsevec_parallel.h