return 0; Custom Deleter with Memory Pools Combine intrusive containers with pool allocators for zero-fragmentation dynamic objects.
bfd3::MCRingBuffer<int, 1024> queue; queue.push(42); // lock-free, safe from multiple threads int value; if (queue.pop(value)) ... Heap-allocated strings are a common source of fragmentation and performance issues. The Bfd3 core library provides a fixed-capacity string that lives entirely on the stack (or inside any other object). Bfd3 core library
bfd3::MCRingBuffer<Event, 4096> eventBus; // Thread 1 (producer) eventBus.push(EventEventType::MouseMove, data); return 0; Custom Deleter with Memory Pools Combine
bfd3::FixedString<64> filename = "config_"; filename.append("data.bin"); const char* cstr = filename.c_str(); // null-terminated For network protocols or file I/O, endianness and padding matter. The core library offers binary streams with explicit byte ordering. The Bfd3 core library provides a fixed-capacity string
struct Task : public bfd3::IntrusiveListNode<Task> int priority; void execute(); ; bfd3::IntrusiveList<Task> pendingTasks; Task t1, t2; pendingTasks.push_back(t1); pendingTasks.push_back(t2); For multi-threaded producer-consumer scenarios, a lock-free ring buffer (multi-producer, single-consumer or multi-consumer) is essential. The Bfd3 core library often includes a highly tuned implementation based on atomic operations, avoiding mutex overhead entirely.
By mastering its memory arenas, intrusive containers, and lock-free primitives, you can build applications that are not only faster but also more resilient under load. As with any powerful tool, use it wisely—measure before optimizing, and document the assumptions.