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Veeam Data Platform v13.1
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Use Gnu Scientific Library as if it were writtem in C++.
The ccgsl provides simple C++ wrappers for the GNU Scientific Library. It uses Java-like shared-pointer classes in place of structs to avoid direct memory allocation/freeing and to work better with the STL. It lets you construct functions for optimisation, root-finding and the like from C++ member functions, making it easier to integrate with existing C++ code. It also provides C++ exceptions.
The Safe C Library provides bound checking memory and string functions per ISO/IEC TR24731. These functions are alternative functions to the existing standard C library that promote safer,
more secure programming.
The ISO/IEC Programming languages — C spec, C11, now includes the bounded APIs in Appendix K, "Bounds-checking interfaces".
This latest upload supports building static library, a shared library and a linux kernel module.
Deploy in 115+ regions with the modern database for every enterprise.
MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
Application level crossed-platform slab allocator implementation: fixed-allocating-time, automanual give memory back to os, address coloring to reduce bus-unbalance.
One approach to constructing fast queues is to construct a mechanism for using sharedmemory appropriate containers in C++ as templates. There are three main components: the shared segment of memory, an allocator of memory chunks and the queue itself.
STLshm provides an C++ STL Allocator implementation for creating and using STL containers (and any other allocator aware types) in sharedmemory regions. It supports multiple shared region implementations.
QuickMP (Quick Multi-Processing) is a simple cross-platform C++ API for generating parallel for loops in shared-memory programs, similar to OpenMP. It provides automatic scalable performance based on the number of available processors.