Top 50 cuda Interview Questions
The most frequently asked cuda questions across all roles and companies, ranked by real interview frequency. Updated daily.
Analyze GPU profiling data and rank performance changes such as coalescing, occupancy tuning, kernel fusion, and divergence reduction.
CoreWeaveCompute the output dimensions of a valid convolution from image shape, filter size, and filter count.
NVIDIAUse a priority queue, DAG critical paths, and list scheduling to assign dependent GPU tasks and minimize makespan.
NVIDIAImplement tiled matrix multiplication by partitioning output rows across multiple GPUs.
NVIDIARecursively quantize an FP32 tensor to INT8 using scale division, truncation, and saturation.
NVIDIARemap flat 4D tensor indices to convert NCHW storage order into NHWC order.
NVIDIACalculate GEMM arithmetic intensity and roofline-limited throughput from matrix dimensions and hardware properties.
AMDDetect PyTorch autograd memory leaks and rewrite training code to release graphs and store detached metrics.
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