GPU Computing Without Data Races: Rust Framework Extends Fearless Concurrency

GPU programming has historically lacked the safety guarantees available in modern languages, making data-race bugs common in performance-critical code. This work extends Rust's fearless concurrency model to GPU kernel launches, enabling developers to write parallel GPU code with compile-time safety guarantees and zero-cost performance verification. The approach could significantly improve reliability in GPU computing while maintaining the performance advantages that make GPUs attractive for high-performance applications.