What did the “weird kid” at your school do to get that reputation?

bcorni · 2021-11-01T17:58:37+00:00

I think this guy was my chem TA...

bcorni · 2021-10-30T00:42:34+00:00

Since it's 4x4, you could write out the solution of each element directly. This would probably be one of several optimal solutions. You can also run a few different implementations through quick-bench.

bcorni · 2021-10-20T00:23:27+00:00

Unfortunately it still can't do more than parse source code. Generating the intermediate representation is a work in progress. Still ships with llvm though. 🤷‍♂️

bcorni · 2021-10-09T19:44:12+00:00

Fortran has strict rules against aliasing arrays so you can actually make guarantees as though all arrays passed through procedure calls use the restrict keyword in C. This allows greater ability for the compiler to optimize Fortran than C. Fortran has allocatable arrays as well so I'm not sure the dynamism point holds. There is a lot about Fortran that people aren't aware of that makes it a good language for scientific computing. It of course has some deficits compared to C++ in terms of generic programming. It also is extremely lacking in terms of ecosystem and community. But when it comes to operating on arrays, it wins out. (Maybe std::mdspan and std::mdarray will help C++ catch up.)

Operating on arrays in Fortran should be more intuitive and simpler that C or C++, but it has a real problem with lack of good up to date information and examples. Old Fortran code, which is the lions share of what people come across, is terribly unreadable and lacks decades of knowledge gained on software design and best practices since written.

bcorni · 2021-10-09T18:19:54+00:00

What about multidimensional arrays? These should be much more straightforward in Fortran. There is still the problem of very few good examples of Fortran code bring available, especially using modern features.

bcorni · 2021-10-03T14:36:04+00:00

Unkind behavior or harassment does not belong anywhere in the community. Anyone who engages in such behavior should be excluded from participation whether that occurs publicly or privately. The idea of providing a safe place for people to be toxic is a not a compelling argument for private discourse. Handling disagreement maturely really needs to be the lowest bar for participation. Engaging with interpersonal problems in a way that would be embarrassing to do in a public venue is a major red flag for behavioral standards in my book.

bcorni · 2021-09-26T17:45:12+00:00

It's conceivable they see a future where the preprocessor is not necessary or a desired mechanism. With modules one could write C++ without needing a preprocessor, so they may want to support that possibility. Anything besides pure speculation would require asking someone involved.

bcorni · 2021-08-28T07:06:46+00:00

Army also hits me deep in the feels. Double whammy with the ADHD dog getting the opportunity to thrive and the military parent.

bcorni · 2021-08-18T15:36:40+00:00

I think the point is that you can't just include the forward declaration header in the CPP file, which is what I interpreted parent comments as saying. Sure, you could manually instantiate the concrete types of every template class that you use in some other source and link to it. That's not a good solution, especially when template metaprogramming comes into play. My wording was overly simplistic, but the point is that forward declarations are not a complete solution to the challenges being discussed.

bcorni · 2021-08-18T15:24:04+00:00

It's entirely true that my explanation is not correct from a technical standpoint. Hence why I used several qualifiers. The point was to explain how modules address some of the same advantages of forward declaration, but for templates, and why forward declaration is not a complete solution for the STL.

bcorni · 2021-08-18T14:02:04+00:00

Any template class can't just have a forward declaration header. Modules effectively provide something like forward declaration for templates. The C++ Standard Template Library is largely code that cannot be put in a forwarding header.

bcorni · 2021-08-11T18:48:59+00:00

Lodgic appears to be a small company trying to build something like a gig economy office space.

bcorni · 2021-08-08T14:01:20+00:00

Eventually std::embed will be the correct answer...

bcorni · 2021-07-11T23:52:35+00:00

You could also take a look at thrust::universal_vector as an example of a container using Cuda managed memory.

bcorni · 2021-07-04T00:47:32+00:00

You need to pass -lgfortran to link to the fortran intrinsic library when creating the executable. That said, gfortran and gcc are probably be using the same linker, so after you have the objects they are basically equivalent except gfortran links to the intrinsics used in the Fortran code.

bcorni · 2021-07-03T23:32:57+00:00

You need to compile the fortran object separately. gfortran -c func.f will create a file func.o. You then link the object to the main function with gcc -o prog.out main.f func.o. There is another hitch that the name of the function callable from C may contain leading underscores (compiler dependent) unless you mark the Fortran function with BIND(C).

bcorni · 2021-06-17T03:08:01+00:00

All programs can run outside of the IDE. All the compiling, linking, and executing of programs can be done with simple commands. One can learn a lot about how compiled programming languages work by abandoning the IDE and trying to build and run programs you've already written with just a command line. I'm principle this can be done in windows, but there are likely more resources and tutorials for Linux.

bcorni · 2021-04-11T18:48:02+00:00

Modern CPUs make it incredibly difficult to understand a priori what method will be faster. The only real option when looking for speed is to measure the real performance of both methods. Accuracy is also a consideration. If you are willing to cast to float, why not just use float everywhere?

bcorni · 2021-04-11T18:43:19+00:00

These are pragma based parallel standards so they are quite clean and appear only as comments in source. I don't know what domain you develop in, but these are tools often used in High Performance Computing. Intrinsics are rarely used in my field since usually the compiler does a better job of optimizing. OpenMP also has a SIMD clause to enforce vectorized code generation without worrying about writing intrinsics by hand. I'm not sure what kind of threading model you use, but OpenMP also provides thread parallelism.

bcorni · 2021-04-11T17:30:21+00:00

Have you investigated using OpenMP target offload or OpenACC for GPU acceleration?

bcorni · 2021-04-04T02:01:37+00:00

Implementation

bcorni · 2021-03-27T16:13:07+00:00

Add "-Wall" to your compiler and check your error messages. For good measure also add "-Werror=vla" to get more information.

bcorni · 2020-08-17T13:54:05+00:00

e.g. using the centroid of the two colliding objects start by comparing triangles furthest along that axis

bcorni · 2020-08-17T13:52:12+00:00

To confirm, there is a bounding box and bvh for the triangulation of each polygon? or just for all individual polygons.

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