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My requirement is to seamlessly hot deploy code update to a running service without losing the current status, including collection data. Is there any c++ framework out there I can use to develop such a solution?
You probably should read some research papers on dynamic software updating, e.g. on Kitsune (which you might use)
There is a major issue about updating the call stack (and instances in local variables); read also about continuations; and you might have some special case (if your application is event loop driven like most GUI applications are, you probably want to update the code outside of event handlers).
You certainly should think of dynamic software update very early in your design. Perhaps some terminology and concepts from garbage collection & persistence & serialization techniques are relevant.
Your requirement (to seamlessly hot deploy code update to a running service without losing the current status) is very hard and will need a lot of work (probably years) and is still a difficult & interesting research topic (definitely it is a good PhD subject).
You might want to use your own meta-programming techniques, that is generate most of the relevant C+++ support code by your own code generators.
If you already have a significant code base, you could consider customizing a recent GCC compiler with MELT (e.g. to query the compiler's internal representations and generate some code from them) -but even that means a lot of work-
PS. Coding in something better than C++, like Erlang or Common Lisp, would make your goal less difficult.
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Much of the cross-platform development topics on SO seems to be 6 to 9 years old. Anyone have recent experience with Xojo? Can it be used to quickly deploy UI on top of C++ generated linked libraries on macOS and Windows? How does that work on iOS? What are the limitations of this tool?
I have no experience with iOS deployment with Xojo but used Xojo for quite a few x-platform projects (Mac/Win/Linux) where I also access self-written C code, in iBored for instance.
Overall, I like Xojo better than Qt or Java for designing and deploying apps with a GUI. Xojo adheres closer to the UI specifics, IMHO. You'll have a harder time finding help, however, since the community is rather small.
To access C++ code you need to write yourself a C-level layer because Xojo does not provide an easy way to link to and use C++ objects. But interfacing plain function in any library (.dylib, .dll, .so) is super easy, and mainly involves writing the Xojo equivalent of a function declaration, and possibly add some structure definitions as well. You can pass all the simple datatypes (Int in all sizes, float, double, C and Pascal strings, even access raw memory via pointers) but will have to provide accessor functions for more complex data structures (array, dicts etc.) as Xojo's object manangement does not mix with that of C++ or other runtimes.
Xojo has been around for nearly 20 years now (formerly known as REALbasic) and is decent enough to rely on it.
OTOH, Xojo is closed source, and the company is rather slow (or even unable / unwilling) to fix issues - and you can't fix them yourselves, obviously. I had more than one case where I figured out how to fix a bug in their binary code, and they wanted to prohibit me from doing that, threatening to invalidate my license, while also not committing to providing a fix. If that worries you, I advise you to stay away from Xojo.
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We're running an experiment which will involve collecting data from multiple stations around the world. Each station will be providing HDF5 files with magnetic field measurements in a rate of 1 kHz and some auxiliary data in real time. The latency is going to be a few minutes.
I'm assigned to design this program (in C++, with clients/server model, with server being in linux and clients being cross-platform), and apparently I'll be designing this from scratch. My first concern is not to really do everything from scratch because this will be more error prone and pure wrong, so my question here is: What information/file transfer protocols/libraries should I use so that
The program can live for 10+ years with minimal maintenance
I can have very good support from the community for when I need help.
Since we need something relatively secure, my first thought was libssh (the only cross platform opensource library available out there for ssh), but then after discussing with some pros there I realized that the support there isn't so wonderful because only a few people work with libssh. The pros there hesitated in suggesting OpenSSL, but with OpenSSL I'll have to write my own authentication (apparently, I'm not an expert and that's why I'm asking).
What would you suggest? Please share your vision to whether I should go for OpenSSL, libssh, or something else.
PS: Please, if you're going to start off by saying this question is off-topic, move on and ignore it. Consider being helpful rather than critical.
If you require any additional information, please ask.
I think that OpenSSL might be a good choice.
No you do not have to "write you own authentication" - you just need to generate certificates and keys and put them in the right places - that is all.
I would suggest to look at the examples in <openssl-source-dir>/demos and <openssl-source-dir>/apps to get you started. Reading a book about OpenSSL would also be a good idea - for many other reasons (sometimes not directly related with SSL/TLS).
I hope that helps.
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I have implemented a reflection engine in C++, and I can construct types and add them to the reflection database like so:
TypeInfo* spark_math_Vector2_type = new TypeInfo();
spark_math_Vector2_type->setName("Vector2");
spark_math_Vector2_type->setFullName("::spark::math::Vector2");
spark_math_Vector2_type->setHash(typeid(spark::math::Vector2).hash_code());
spark_math_Vector2_type->setSize(sizeof(spark::math::Vector2));
Reflection::getInstance().registerType(spark_math_Vector2_type);
However, I now want to automate the generation of the type database. To do this I need a way of getting all of the types created within C++ headers, and the constructors / methods / fields of the types.
I have found gccxml, however it has various drawbacks (being too slow etc). Is there any other exiting tool / framework available? Or maybe there is a better way of doing this? (I really do not want to have to write a parser...)
Basically your choices are:
Edison Design Group front end
GCC (GCCXML is derived from this)
Clang
(Our) DMS Software Reengineering Toolkit with its C++14 front-end
EDG is commercial, but I think free for research purposes. GCC wants to be a compiler, and will tend to fight you trying to bend it to other purposes. Clang seems well designed for tasks like this. We think DMS (also commercial) is well designed for this.
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I'm wondering what if any GPU integration libraries exist for Clojure?
I've seen examples of this that involve hand-rolling OpenCL code, but I'm specifically I'm looking for something similar to Anacoda accelerate, which translates Numpy Python expressions to CUDA code relatively seamlessly.
I'm open to either OpenCL or Cuda approaches.
here is a project that recently started on github https://github.com/JulesGosnell/clumatra. Its seems more like an experiment and its quite impressive!
There is a Google Summer of Code project proposal to add a GPU matrix implementation to core.matrix:
http://dev.clojure.org/display/community/Project+Ideas
Once completed, this project would allow large vector/matrix expressions to be optimised and executed on GPUs.
Disclaimer: I'm a possible mentor for this project.
clojureCL was released a few months after this question was posted. It looks like it offers a more idiomatic interpretation of the standard interface, but it is not a tool that would transform Clojure math / vector operations into OpenCL operations (I think that that is what the OP is looking for?)
[ClojureCL] brings a lot of power, but do not expect it to be an easy ride if you’ve never programmed anything on the GPU or embedded devices. With ClojureCL, it is not [as] difficult as in C (OpenCL Hello World in C is a hundred lines of source code, in ClojureCL it’s only a few), ...
The good news is that you can use any OpenCL book to learn ClojureCL, and we even provide ClojureCL code for the examples used in the OpenCL in Action book.
An old topic but now we have clojurecuda, which is a wrapper on JCuda!
It won't give you automagic speedup on things but at least Neanderthal is a higher level library for linear algebra.
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I need a C++ library that can store and retrieve time series on demand to stream to client front-ends. I will be storing each component as structure of arrays format. I am currently using MySQL for correctness, but the DB access is starting to get ridiculously slow. I am trying to migrate away from this. Intuitively I can build such a library but it is not my business goal and will take quite a bit of implementation to get working. I am looking for an existing solution that can meet the following requirements:
O(1) lookup scheme
Excellent compression, each component is separated, so there should be plenty of redundancy that can be removed
Scalable to terabytes
(optional: Audit tracking)
Most important: Transactional support. There is going to be BIG data, and I can't have the possibility of a bad run corrupt an entire dataset which will create an unnecessary burden for backups and downtime during restores.
Also checkout TempoDB: http://tempo-db.com I'm a co-founder, and we built the service to solve this problem. We don't have a C++ client yet, but could work with you to develop one.
Take a look at OpenTSDB it's been develop at StumbleUpon by Benoit Sigoure:
http://opentsdb.net/
TeaFiles provide simple and efficient time series storage in flat files, enriched with item metadata and description. They might be a building block of the system you aim for. Currently free open source libraries exist for C++ (github.com/discretelogics/TeaFiles), C# and Python.
I am a founder of discretelogics and we coined this file format to overcome litations flat file time series storage while preserving its unrivaled speed.
Take a look at HDF5. It has a quick lookup scheme, has C, C++, Python interfaces. Has compression. Can get pretty big. Maintains metadata. Doesn't do auditing. You'll need a wrapper to handle multi-user capability.