@hgpu
hgpu.org Characterizing CUDA Locality Domains on Blackwell GPUs Low latency is critical to user experience. As NVIDIA Blackwell and Rubin GPUs advance multi-die scaling, data placement and cross-die communication become increasingly important. However, the late… 
hgpu.org Deep Learning Compilers: Architecture, Optimization, and Empirical Characterization As deep learning (DL) models become increasingly complex and hardware architectures grow more heterogeneous, DL compilers play a critical role in optimizing computational efficiency and enabling sc… hgpu.org HPC-Bench: A Comprehensive Benchmark for High Performance Computing Codes Large Language Models (LLMs) have shown strong capabilities in code generation and reasoning, motivating extensive benchmarks for evaluating functional correctness. However, performance optimizatio… hgpu.org Subgrid-Scale Turbulence Closure and 44.01× Speedup on Blackwell SM120: Matrix-Free Fused Triton... High-resolution atmospheric modeling frameworks encounter severe memory bottlenecks when evaluating non-linear subgrid turbulence closures across global meshes (such as ERA5 with 103.8 million 3D p… hgpu.org Capability Gain from ISA to Shared Execution on AMD MI300A and MI250X Each new GPU generation is showcased by its peak instruction rates, yet users hardly ever run instructions directly: they reach the hardware's performance through vendor libraries, application… 