September 2012 - Boost - lists.preview.boost.org

[coroutine] interface suggestion
by Oliver Kowalke 20 Sep '12

20 Sep '12

my suggestion: 1. the lib provides both coroutine<> and generator<> 2. coroutine<> is special routine allowing to enter and leave a function multiple times 3. coroutine<> first template arg defines the signature of the function accepted by coroutine<> 4. coroutine<>::operator() return type is equal to the return type of signature (template arg) 5. function accepted by coroutine<> first arg allows to suspend coroutine<> == jump back to caller of coroutine<>::operator() -> it has to be discussed if this type is of coroutine<> with an 'inverted' signature (as proposed by Giovanni) or not 6. generator<> returns a set of values in a sequence 7. generator<> has only one template arg defining the return type 8. function accepted by generator<> is required to return void 9. generator<>::operator() returns optional< return_type > 10. generator<> is not a range because - 'A Range provides iterators for accessing a half-open range [first,one_past_last) of elements and provides information about the number of elements in the Range.' -> a generator can not determine how many elements it will return - generator<> can only provide a single pass: 'For any Range a, [boost::begin(a),boost::end(a)) is a valid range, that is, boost::end(a) is reachable from boost::begin(a) in a finite number of increments.' -> if the function accepted by generator<> loops for ever it violates the range invariant typedef generator< int > gen_t; void f( gen_t::caller_t & caller) { while ( true) { caller( 7); } } 11. on top of generator<> something like an iterator could be provided: typedef generator< int > gen_t; gen_t gen( f); enumerator< gen_t > i( gen): enumerator< gen_t > e; while ( i != e) { cout << * i++ << "\n"; } Oliver

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[coroutine][review] Very Late Review
by Giovanni Piero Deretta 19 Sep '12

19 Sep '12

Hi all, This review is way after the deadline, so feel free to ignore my vote, but I hope that the feedback will be useful anyway. First of all, I vote to accept the library with the current interface. I see that Oliver agreed to significant interface changes which I hope these will be subject to a minireview before final acceptance. - What is your evaluation of the documentation? Adequate for someone that already has some knowledge of coroutines and generators, but it lacks an introduction on the topic. Like other reviewers I also suggest that some of the more interesting examples should be presented and discussed in the documentation. Also, a few topics should be discussed more in details: * Why thread local storage cannot be referenced in threaded applications with a brief descritption of what is, IMHO, a GCC TLS bug. * What is the exact meaning of the preserve FPU flags (which, as far as I understand, it really makes it optional to preserve the FPU context), not the FPU registers themselves - What is your evaluation of the potential usefulness of the library? Very useful. This library is long due in Boost. - Did you try to use the library? With what compiler? Did you have any problems? No, I did not try. - How much effort did you put into your evaluation? A glance? A quick reading? In-depth study? In depth study. - Are you knowledgeable about the problem domain? yes, I have implemented similar functionality before. - What is your evaluation of the design and implementation? The interface as proposed for review is very close to my original boost.coroutine interface and as such I of course think is adequate. I think that the interface can be improved (which is one of the reasons that i never submitted my library for review). Since the beginning of the review period, a lot of interface changes have been proposed, some of which I like, some I don't. About the design: I do not believe that the coroutine should be parametrized on do_unwind (insert something about not parametrising on behaviour here :) ). The behaviour of boost.coroutine should be explicit from the type and one shouldn't have suprises when unwinding a coroutine. Please chose to either assert or explicit unwind on destruction. I prefer the former, as per std::function, but would prefer the latter to parametrization. I also dislike the preserve_fpu flag, but I understand what it is there for and could live with it. Still it should be harder to misuse: make it an enum, and move it last in the constructor parementer list, so that specifying a stateful allocator (BTW, I assume these are supported), shouldn't require to specify this flag. I like the idea that has been proposed during the review that the result of a coroutine should be retrivable at any time via a get method. I dislike the proposed optional<T> result for operator(). If the previous delayed result functionality is implemented, operator() should just return *this, so that the subsequent get() call can be chained or the result tested for non empty. This change has the potential of deeply affecting the interface, so I would really like to see it subject to a mini review before acceptance. The coroutine object has both the concept of a not-a-coroutine and of a completed coroutine. This is confusing, and should be conflated to 'empty' state, analogous to an empty std::function. In addition to simplifying the documentation and the interface, it should also slightly improve the implementation. Operator bool should return !empty as per std::function. It has been suggested that coroutine::self be removed an have a thread specific object. I strongly disagree with this option. First of all it will make it too easy to break type safety: typedef this_coroutine<int(int)> this_coro; typedef this_coroutine<void()> that_coro; coroutine<int(int)>([]{ that_coro::yield(); // oops compiles fine, UB at runtime. }); Of course you can find ways to break even code with the explicit self syntax, but the above is, IMHO, just too dangerous. In practice, one need to pass the signature to any code that wants to yield anyway, so might as well pass the self object around, at least one can rely on template type deduction. Also, one does not really want arbitrary code to yield out of the coroutine as this can be dangerous (think of code between yield statements as a sort of critical section) as invariants can be broken or mutices held. Instead I suggest doing away with a separate self type and instead making the first parameter to the coroutine functor a full fledged coroutine, with simmetric signature: coroutine<int(void)> my_coroutine([](coroutine<void(int)> caller) { caller(10); }); int i = my_coroutine(); This means that the parameter no longer represent the coroutine itself, but, more logically, the caller coroutine. This makes very obvious the analogy between coroutines and channels. It also blurs the division between symmetric and asymmetric coroutines. Bonus points if you had a function that infers the coroutine singnature from the coroutine functor operator() (I like to call this function callcc for obvious reasons [ http://en.wikipedia.org/wiki/Call-with-current-continuation] auto my_coroutine = callcc([](coroutine<void(int)> caller) { ... } ); This would obviously work only if the functor is monomorphic, but it interacts very nicely with C++11 lambdas. I do not like the separation between coroutines and generators. Instead the generator class should be dropped. The reason that I had generator as a separate class in the original coroutine SoC is because I wanted to give it iterator semantics (this also required internally using a reference counted pointer to make the iterator copiable, which I disliked). Instead I propose to make every coroutine<T()> fulfill the the input range concept and every coroutine<void(T)> fulfill the output range concept (this is a functionality not covered by generators). In practice it means that for these classes of coroutines, begin and end are defined returning appropriate iterator (i.e. some very thin layers around the coroutine itself). As a range is required to survive its iterator anyway, the iterators can simply use plain pointers to the coroutine. The last suggestion works very well if coupled with the suggestion of making 'self' a full coroutine: std::vector<int> a = { ... }; std::vector<int> b = { ... }; std::cout << "The result of 'merge(a,b) is:\n"; for(auto x : callcc([&](coroutine<void(int)> c) { std::merge(a.begin(), a.end(), b.begin(), b.end(), c.begin()); }) { std::cout << x << "\n"; } I thought modelling generalized coroutines<T(T)> as ranges, but I have yet to find a good model. Enough abot the interface; I have some more comments about the Implementation: The code is readable (it helps if you are familiar with the topic) even if, as other reviewers have noted, is almost free of comments. The nest of base classes required to handle all possible coroutine signatures is quite overwhelming though and I think it could be significantly reduced. I was able to trace through the execution paths I was interested into, but it required quite a bit of back and forward between implementation files. The coroutine object itself holds a reference counted pointer to the implementation. As the coroutine is movable but not copyable, I do not think that reference counting is needed. The coroutine itself should consists of two raw pointers: a pointer to the target context and a pointer to the result slot. You need this pointer anyway, because, if I understand correctly, you are planning to allow retriving the result slot at any time after the operator() and yield call. I think that the implementaiton is not as eficient as possible. I strongly believe that a coroutine call should be as fast as a normal functiona call as possible. As such it is important to optimize operator() and yield as much as possible. Ideally, no code should be executed other than calling context::jump_fcontext. I will detail below how such an implementation is possible: Operator() needs to check at every call whether the coroutine has started and decide whether to call impl->start or impl->resume. This is a very predictable branch, but every instruction counts, and as a minimum the branch will increase instruction cache pressure and decoding bandwith. Similarly, there is a branch after the internal resume call to detect whether the coroutine has terminated and another one to check whether exceptions should be thrown. The first branch can be removed by moving the complexity to the constructor: a redy-to-start context should be indistinguishable from a suspended context. The branch on is_complete can be removed by making sure that a resume on on-complete also pass the pointer to the return slot via the native_resume result. The check for pending exceptions can be removed if context switches that cause exceptions to be thrown on the target context are modified to create an artificial stack frame on top of the called stack that runs a function that throws the exception only when necessary. This would require a small (but useful) addition to boost.context interface. The flag manipulation can be removed by completely removing the flags. The only state you really need to know is whether the coroutine is empty (which can be signaled by having a null pointer to context) and whether any result is available (that can be signaled by having a null pointer to result slot). Both pointers are updated by each call to resume(). As the internal context implementation only allows passing a single value, this would require an additional level of indirection. The indirection can be removed by changing the context jump_fcontext api to return a structure of two pointers: the existing parameter plus an additional pointer to the calling context. As most ABI allow to return small structures in registers, this can be implemented quite eficiently. Another source of ineficiency and indirection is the constructor, which while not as critical as task switching itself, it should still be fast. To construct a coroutine two dynamic allocations are currently needed, one to allocate the control block (i.e. the derived class from context base), one to allocate the stack. I suggest completely removing the control block, instead placing the allocator and the coroutine functor itself directly in the stack frame of the trampoline. To do this, after allocating the stack, the constructor switches to the target context trampoline and passes to it apointer to the functor and allocator pairs from constructor stack, which are moved to local variables. This will also implicitly type erase both the allocator and the functor. Similarly, there is noneed to store the two caller and calle fcontextes, which can be mantained as local variables inside inside coroutine::operator(), and yield respectively. The previously described additional parameter returned by impl->resume allows to eficiently retrieve the other context. These stack allocations are not unlike what is aready done for result slot which is located inside yield or operator(). As there is no control block any more, cleanup can no longer be done inside its destructor. Instead, after the context has unwound, the trampoline switches to the calling context stack and executes a cleanup function on top of it (this is the same functionality need to implement the exception throwing as described before). This cleanup function can safely destroy first the coroutine functor and then deallocate the stack. The cleanup function then returns null for both the calling context pointer and result slot, signaling that the coroutine has exited. I have a sketch implementation of most of the suggestions above here https://github.com/gpderetta/Experiments/blob/scheduler/switch.hpp(examples here https://github.com/gpderetta/Experiments/blob/scheduler/switch_test.cc) That's all so far; I'll try to come with further comments; I'm sorry for the wall of text, I wrote it in one go and didn't have time to cut it down. Good luck with the review! -- gpd

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[type_erasure] Difficulties with const
by Christophe Henry 19 Sep '12

19 Sep '12

Hi Steven, I have a const problem. Consider the following classes: struct Something { Something(const char* n): myName(n){} std::string const& getName()const { return myName; } std::string myName; }; struct Container { typedef std::vector< AnyNameable > PublicData; Container() { Something s1("bla"); Something s2("blabla"); myData.push_back(s1); myData.push_back(s2); } PublicData getData()const { PublicData res; for (Data::const_iterator it = myData.begin(); it != myData.end() ; ++it) { res.push_back(AnyNameable(*it)); } return res; } private: typedef std::vector< Something > Data; Data myData; }; Container is simply a class returning its "Something", hidden behind AnyNameable (nice way to realize C++ Coding Standards Item 42 BTW). I have a simple test function: void test() { Container c; Container::PublicData data = c.getData(); for (Container::PublicData::const_iterator it = data.begin(); it != data.end() ;++it) { AnyNameable a(*it); std::cout << "data: " << a.getName() << std::endl; // auxiliary question: why does this not work if I use const _self&? //std::cout << "data: " << (*it).getName() << std::endl; } } int main() { test(); return 0; } Now comes the interesting part. If I define AnyNameable using the concept interface, all goes (almost) well: template<class C, class T> struct getName { static T apply(C const& cont) { return cont.getName(); } }; namespace boost { namespace type_erasure { template<class C, class T, class Base> struct concept_interface< ::getName<C, T>, Base, C> : Base { T getName() { return call(::getName<C, T>(), *this); } }; } } typedef any< mpl::vector< getName<_self,std::string const&>, relaxed_match, copy_constructible<>, typeid_<> >, const _self& > AnyNameable; This compiles and outputs as expected. Problem 1: This will not compile std::cout << "data: " << (*it).getName() << std::endl; Hmmm ok not so bad. I'll gladly pay the extra line. (interestingly, it would compile and work without const) Problem 2: if I use the MEMBER macro: BOOST_TYPE_ERASURE_MEMBER((has_getName), getName, 0); typedef any< mpl::vector< has_getName<std::string const&()>, relaxed_match, copy_constructible<>, typeid_<> >, const _self& > AnyNameable; Then the code does not compile, unless I accept to give up all of my consts. On one hand, I will find it a easier job to sell type_erasure with the macro, OTOH, I will not give up my consts ;-) Would it be possible to have the macro AND const-correctness? Attached, a small test with the complete code. Thanks, Christophe

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Interest in a GPU computing library
by Kyle Lutz 19 Sep '12

19 Sep '12

This is a call for interest in a GPU computing library for Boost. I have been working on the library in my spare time for the past month or so and it’s reached a point where I am ready for feedback. Below gives a brief overview, some notes on the design, and a small example of the library which I’ve named Boost.Compute. --- Overview --- * C++ library for general-purpose computing on GPUs/Accelerators * Based on OpenCL (Open Computing Language) * Header-only implementation * API inspired by the STL, Boost and Thrust * Boost dependencies: Config, Utility, Iterator, Exception, Preprocessor, TypeTraits, StaticAssert, MPL, Proto --- Design --- OpenCL is a framework for writing programs that run on parallel computing devices such as GPUs and multi-core CPUs. The OpenCL language is based on C99 with a few extensions to simplify writing parallel and vector-based code. More background: http://en.wikipedia.org/wiki/OpenCL. The core of the Boost Compute library is a thin C++ wrapper over the OpenCL C API. It provides classes for creating and managing various OpenCL entities such as contexts, buffers, devices and kernels. These classes are written in a style consistent with Boost and the C++ standard library. Written on top of the core library is a partial implementation of the C++ STL which includes common containers (e.g. vector<T>, array<T, N>) and algorithms (e.g. copy, find_if, sort) along with a few extensions (e.g. scatter, exclusive_scan, flat_set<T>). The aim of Boost.Compute’s STL API is to provide a familiar interface to developers wanting to easily write new code or port existing code to run on GPU devices. It also features a few “fancy” iterators inspired by the Boost.Iterator library such as transform_iterator<>, counting_iterator<>, and permutation_iterator<>. Furthermore, a lambda expression library was written using Boost.Proto which allows for mathematical expressions to be defined at the call site of an algorithm and then be executed on the GPU. For example, to multiply each element in a vector by the square root of itself and then add four: transform(v.begin(), v.end(), v.begin(), _1 * sqrt(_1) + 4); --- Example --- Below is a small example of using the Boost.Compute API to sort a vector of int values: // create vector of random values on the host std::vector<int> host_vector(10000); std::generate(host_vector.begin(), host_vector.end(), rand); // create a compute context for the default gpu device boost::compute::context gpu_context = boost::compute::default_gpu_context(); // create a vector on the gpu boost::compute::vector<int> device_vector(gpu_context); // transfer the values to the device device_vector = host_vector; // sort the values on the device boost::compute::sort(device_vector.begin(), device_vector.end()); // transfer the sorted values back to the host boost::compute::copy(device_vector.begin(), device_vector.end(), host_vector.begin()); --- Conclusion --- The Boost Compute library provides a useful, intuitive, and familiar interface for running high-performance parallel code on GPU devices. Incorporating Boost.Compute into the Boost libraries would make GPU computing readily accessible to a large number of C++ developers. All comments and feedback are welcome and greatly appreciated. Thanks, Kyle

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[graph] msvc failure on trunk
by Jürgen Hunold 19 Sep '12

19 Sep '12

Hi all, currently all graph test with msvc on trunk fail with: C:\Users\BoostTest\Trunk\boost\boost/pending/property.hpp(101) : error C2182: 'lookup' : illegal use of type 'void' C:\Users\BoostTest\Trunk\boost\boost/pending/property.hpp(101) : see reference to class template instantiation 'boost::lookup_one_property_internal<boost::property<Tag,T,Base>,boost::vertex_bundle_t>' being compiled See http://www.boost.org/development/tests/trunk/developer/output/DrWeb_x86-boo… bin-v2-libs-graph-test-basic_planarity_test-test-msvc-9-0-debug-address- model-32-threading-multi.html for details. It seems this affects mscv-9.0 and 10.0. Yours, Jürgen -- * Dipl.-Math. Jürgen Hunold ! * voice: ++49 4257 300 ! Fährstraße 1 * fax : ++49 4257 300 ! 31609 Balge/Sebbenhausen * jhunold(a)gmx.eu ! Germany

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[geometry] [polygon] What's the relationship?
by Dave Abrahams 19 Sep '12

19 Sep '12

Could someone please explain the relationship, if any, betweeen these two libraries? They seem to cover similar domains. Do they interoperate? Is one better than the other for certain kinds of problems? Was Boost.Polygon once called the Geometry Template Library, as suggested by the BoostCon 2009 slides? Boy, that's confusing. Lastly, could we get these libraries' documentation to mention one another and explain the information I'm asking for? Thanks in advance for answering. -- Dave Abrahams BoostPro Computing Software Development Training http://www.boostpro.com Clang/LLVM/EDG Compilers C++ Boost

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[date_time] merge from trunk to release
by Vicente J. Botet Escriba 19 Sep '12

19 Sep '12

Hi, I have tried to merge (https://svn.boost.org/trac/boost/changeset/80051) Boost.DateTime from trunk to release to merge and I suspect that the svn merge tools has not been used since a long time. I'm getting a long diff with a lot of mergeinfo. Property changes on: boost/date_time/gregorian_calendar.ipp ___________________________________________________________________ Deleted: svn:mergeinfo Reverse-merged 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and much more. Even if the modifications to merge were simple, the diff file is more that 200K lines. I have made a diff between the trunk and the release and the single differences are due to a $Date tag that includes the commit date. Hrrr. Could this merge be done? I could do it if permission is granted from the author or the release manager team. Best, Vicente

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How to bind program termination with end-of-stream in Boost.Process 0.5?
by alfC 18 Sep '12

18 Sep '12

Hi, I have a simple question about the latest Boost.Process 0.5 library. Namely how to How to bind program termination with end-of-stream in Boost.Process 0.5? For example, in this example http://www.highscore.de/boost/process0.5/boost_process/tutorial.html#boost_… One can make a look to read the output of the process until the program finishes, but the stream is not invalid after program termination. ... while(std::getline(is, s)){ // is is an stream associated with a process (e.g. '/usr/bin/ls') std::cout << "read: " << s << std::endl; } std::clog << "end" << std::endl; // never reach ... I originally posted the question in http://stackoverflow.com/questions/12329065/how-to-bind-program-termination… but now I think it can be overlooked there. Since now there seems to be extra layers (Boost.Streams) it may be that I don't know how to set up the file_descriptor_source, etc. BTW, the solution to this question can be used to improve the example code in http://www.highscore.de/boost/process0.5/boost_process/tutorial.html Thanks, Alfredo -- View this message in context: http://boost.2283326.n4.nabble.com/How-to-bind-program-termination-with-end… Sent from the Boost - Dev mailing list archive at Nabble.com.

2 10

VS2012 and bootstrap
by Pedro Larroy 18 Sep '12

18 Sep '12

Hi I'm trying to compile boost with VS2012 in the exact same way that it succeeds with VS2010. And get an error w32_getreg.c: fatal error C1083: Cannot open include file: 'windows.h' Anyone knows how to solve this? Thanks. Pedro.

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[ANN] ODB C++ ORM 2.1.0 released, adds support for Uuid, Multi-Index
by Boris Kolpackov 18 Sep '12

18 Sep '12

Hi, I am pleased to announce the release of ODB 2.1.0. ODB is an open source object-relational mapping (ORM) system for C++. It allows you to persist C++ objects to a relational database without having to deal with tables, columns, or SQL and without manually writing any of the mapping code. Major new features in this release: * Ability to use accessor/modifier functions and expressions to access data members. In most cases ODB is capable of discovering suitable accessor/modifier functions automatically. * Support for virtual (imaginary) data members that can be used to handle the C++ pimpl idiom as well as aggregate or dis-aggregate real data members. * Ability to define database indexes on data members. Multi-member indexes as well as indexes with database-specific index types, methods, and options are supported. * Support for mapping extended database types, such as geospatial types, user-defined types, collections (arrays, table types, etc.), key-value stores, XML, JSON, etc., to suitable C++ types. * The Boost profile library now provides persistence support for the Uuid and Multi-Index container libraries. * The Qt profile library now provides persistence support for the QUuid type. * Support for generating single (combined) database schema file from multiple C++ header files. This release also adds support for Visual Studio 2012 and Clang 3.1. Specifically, all the runtime libraries, examples, and tests now come with project/solution files for Visual Studio 2012 in addition to 2010 and 2008. A more detailed discussion of these features can be found in the following blog post: http://www.codesynthesis.com/~boris/blog/2012/09/18/odb-2-1-0-released/ For the complete list of new features in this version see the official release announcement: http://www.codesynthesis.com/pipermail/odb-announcements/2012/000018.html ODB is written in portable C++ and you should be able to use it with any modern C++ compiler. In particular, we have tested this release on GNU/Linux (x86/x86-64), Windows (x86/x86-64), Mac OS X, and Solaris (x86/x86-64/SPARC) with GNU g++ 4.2.x-4.7.x, MS Visual C++ 2008, 2010, and 2012, Sun Studio 12, and Clang 3.1. The currently supported database systems are MySQL, SQLite, PostgreSQL, Oracle, and SQL Server. ODB also provides profiles for Boost and Qt, which allow you to seamlessly use value types, containers, and smart pointers from these libraries in your persistent classes. More information, documentation, source code, and pre-compiled binaries are available from: http://www.codesynthesis.com/products/odb/ Enjoy, Boris

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