Optimizing GPU Programs from Java Using Babylon and Hat
Summary
The article explains how Babylon and HAT enable Java to offload GPU workloads, detailing abstractions like NDRange, KernelContext, and F32Array, and walking through several optimization steps for matrix multiplication on GPUs. It includes profiling data from an NVIDIA A10 (via Nsight Compute) and shows dramatic improvements from basic 1D kernels to 2D, tiling, shared memory, and FP16 workloads, with a discussion on FP16 vs FP32 and cuBLAS comparisons.