Tsynanysyn

SyncMode::Async => let cb = self.register_callback(); return Ok(Pending(cb));

self.adapt_quantum();

| Metric | TSynAnySyn | pthreads | TBB | DPDK | |--------|------------|----------|-----|------| | Max throughput (ops/sec) – 128 cores | 148M | 92M | 110M | 101M | | 99th percentile latency (μs) – cross-socket | 2.1 | 8.7 | 5.4 | 6.2 | | Energy per sync op (nJ) – heterogeneous | 14 | 37 | 29 | 31 | | Distributed sync (16 nodes, 10ms RTT) | 98% | N/A (deadlock) | 73% | N/A | TSynAnySyn

self.update_phase(); Ok(())

struct TSynAnySyn contract: Contract, phase: AtomicU64, quantum_ns: AtomicU64, predictor: TinyCART, SyncMode::Async => let cb = self

Introduction: The Synchronization Crisis In the golden age of heterogeneous computing, where CPUs, GPUs, TPUs, FPGAs, and even neuromorphic chips must dance in lockstep, one problem has stubbornly refused to scale: synchronization . Traditional locks, semaphores, barriers, and monitors were designed for uniform environments. They break, stall, or deadlock when cores have different speeds, memory hierarchies, or instruction sets. SyncMode::Sleep => let futex = self

SyncMode::Sleep => let futex = self.futex_wait(); if futex.wait_timeout(self.quantum()) continue;