CUDA Optimization8 min read
Optimizing Transformer Inference with Custom CUDA Kernels
Deep dive into how we achieved 3.2x speedup on BERT inference through memory layout optimization and custom attention kernels.
Cuda Army TeamMay 15, 2024
Technical insights and deep dives into CUDA optimization, AI performance, and enterprise solutions.
Deep dive into how we achieved 3.2x speedup on BERT inference through memory layout optimization and custom attention kernels.
Understanding the mathematics behind Flash Attention and implementing efficient CUDA kernels for transformer models.
How we built a 1000+ GPU training system with 94% scaling efficiency through custom communication kernels.
Comparing INT8, FP16, and custom quantization schemes for large language model deployment.
Fundamental patterns for optimizing memory access in CUDA kernels with practical examples.
End-to-end optimization of object detection systems for autonomous vehicle applications.
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