On Thursday, 11 April 2013 at 08:03:53 UTC, Walter Bright wrote:
On 4/10/2013 11:55 PM, Paulo Pinto wrote:
Some of our consulting projects are conversion of C++ code
into one of the said
technologies. We usually achieve performance parity with the
existing application.
With C, C++ and Fortran it is easier to achieve a certain
performance level
without effort, while the other languages require a bit of
effort knowing the
runtime, writing GC friendly data structures and algorithms,
and doing
performance analysis, but it achievable as well.
Many developers don't want to do this, hence my statement.
I've seen enough "performant" C++ code to disagree with your
statement. If they knew what was going on with how C++
implemented their constructions, they could get a lot better
performance.
The second problem with writing performant C and C++ code is
the difficulty of refactoring code to try different data
structures & algorithms. Generally, one picks a design up
front, and never changes it because it is too hard to change it.
Fair enough, I have left the C daily coding on the job in 2002
and C++ in 2005, so I can hardly consider myself an expert in
optimization tricks in those languages.
Nowadays I get seldom the opportunity to write new C++ code on
the job.
--
Paulo
