Software program Frameworks Optimized for GPUs in AI: CUDA, ROCm, Triton, TensorRT—Compiler Paths and Efficiency Implications
Deep-learning throughput hinges on how successfully a compiler stack maps tensor packages to GPU execution: thread/block schedules, reminiscence motion, and instruction choice (e.g., Tensor Core MMA pipelines). On this article we’ll give attention to 4 dominant stacks—CUDA, ROCm, Triton, and TensorRT—from the compiler’s perspective and explains which optimizations transfer the needle in observe. What truly … Read more