Evaluate GPU kernel tasks to determine whether they are technically accurate, realistic, solvable
Rigorously test and troubleshoot complex GPU programming scenarios to validate task behavior and
Audit tasks for memory allocation bugs, execution bottlenecks, synchronization issues, and parallel
Review CUDA, Triton, and other GPU kernel implementations for correctness, performance
Provide clear, specific, and actionable technical feedback on identified issues and recommend
Apply deep knowledge of GPU computing and hardware-level optimization to assess the quality and

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