2 repositorios
Detection of hazardous data access patterns in GPU shared memory across multiple threads.
Distinct from Shared Memory Buffers: Candidates focus on filesystem buffers or bank swizzling, not the detection of concurrency race conditions in shared memory
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jetson-inference is a set of libraries and tools for executing optimized deep learning models on embedded GPU hardware. Its primary purpose is to enable real-time computer vision and AI inference at the edge with low latency and high throughput. The project distinguishes itself through high-performance streaming analytics and the ability to execute concurrent AI pipelines on auto-grade silicon. It provides specialized support for multi-sensor stream processing, utilizing zero-copy data transport to load camera frames directly into GPU memory. The codebase covers a broad surface of capabiliti
Detects hazardous data access patterns where multiple threads access the same shared memory location.
Ships a tool to detect data races in GPU shared memory between CUDA threads.