How Can I Optimize Float Parsing for Large Datasets?

Optimizing Float Parsing for Large Datasets

Parsing space-separated floats from large files can be a time-consuming task. This is especially true when handling millions of lines with multiple floats per line. To address this challenge, it's essential to adopt efficient parsing techniques that minimize performance bottlenecks.

Measuring Parsing Speed

To evaluate the effectiveness of different parsing methods, a benchmark was conducted using a 515Mb input file containing millions of space-separated floats. The results revealed significant variations in parsing times between different approaches.

Boost Spirit: A Top Performer

Surprisingly, Boost Spirit emerged as the fastest parsing solution. This powerful library offers several advantages over traditional methods:

• Error handling: Spirit parsers automatically detect and report parsing errors.
• Rich feature support: It supports variable whitespace, /-Inf, and NaN values.
• Elegant syntax: Spirit's syntax is straightforward and easy to understand.

Other Parsing Techniques

While Boost Spirit took the lead in parsing speed, other techniques also demonstrated promising results.

• Eigen: This C library provides efficient matrix and vector operations, including float parsing functions.
• C 14 Regular Expressions: With C 14's regex improvements, parsing can be performed using regular expressions.
• mmap: Memory-mapped files can speed up file access, but may not improve parsing speed significantly.

Benchmark Results

The following chart summarizes the parsing times for different methods using memory-mapped files:

[Image of parsing time benchmark results]

Choosing the Right Approach

The best parsing method depends on the specific requirements of the application. If speed and accuracy are paramount, Boost Spirit is an excellent choice. For more straightforward scenarios, Eigen or C 14 regular expressions may suffice.

.hpp File (Old Implementation)

std::vector<data> read_float3_data(std::string const &in)
{
  namespace spirit = boost::spirit;
  namespace qi = boost::spirit::qi;
  typedef std::vector<data> list;

  qi::rule<it list qi::locals>, data> triplet_rule =
      qi::phrase(
          (qi::double_ > qi::double_ > qi::double_) % qi::eol, qi::space, data());

  it first = in.begin();
  it last = in.end();
  it err  = in.end();
  bool parsing_ok = qi::phrase_parse(first, last, triplet_rule, qi::space,
                                            data(), qi::_pass, err);
  assert(parsing_ok && first == last);
  (void)err;
  return data();
}</it></data></data>

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