## Overview

This directory contains a simple tbb::flow example that performs binpacking of N integer values into a near-optimal number of bins of capacity V. It features a source_node which passes randomly generated integer values of size<=V to a queue_node. Multiple function_nodes set about taking values from this queue_node and packing them into bins according to a best-fit policy. Items that cannot be made to fit are rejected and returned to the queue. When a bin is packed as well as it can be, it is passed to a buffer_node where it waits to be picked up by another function_node. This final function nodes gathers stats about the bin and optionally prints its contents. When all bins are accounted for, it optionally prints a summary of the quality of the bin-packing.

## Files

binpack.cpp
  Driver.
Makefile
  Makefile for building example.

## Directories

msvs
  Contains Microsoft* Visual Studio* 2008 workspace for building and running the example with the Intel® C++ compiler (Windows* systems only).
xcode
  Contains Xcode* IDE workspace for building and running the example (Mac OS* X systems only).

## To Build

General build directions can be found here.

## Usage

`binpack -h`
  Prints the help for command line options
`binpack [#threads=value] [verbose] [silent] [N=value] [V=value] [#packers=value] [optimality=value] [#threads]`
  #threads is the number of threads to use; a range of the form low[:high] where low and optional high are non-negative integers, or 'auto' for the TBB default.
  verbose print diagnostic output to screen
  silent limits output to timing info; overrides verbose
  N number of values to pack
  V capacity of each bin
  #packers number of concurrent bin packers to use (default=#threads)
  optimality controls optimality of solution; 1 is highest, use larger numbers for less optimal but faster solution
To run a short version of this example, e.g., for use with Intel® Parallel Inspector:
  Build a debug version of the example (see the build directions).
  Run it with a small problem size and the desired number of threads, e.g., `binpack 4 N=100`.

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