AI-generated summary A new analysis measures how much instruction-level speedup survives across layers like libraries and shared devices on AMD hardware including the MI300A and MI250X. The research traces metrics from ISA microbenchmarks through hipBLASLt and hipSPARSELt to large language model inference and mixed-precision HPL.
AI-generated summary This paper presents a systematic analysis of deep learning compilers, covering their architectural evolution, compilation workflows, optimization techniques, and emerging research directions. Experiments using PyTorch and TorchInductor on an NVIDIA RTX A6000 demonstrate speedups of up to 8.21x for fusion-friendly computation graphs, while other workloads exhibit limited improvements.
AI-generated summary A report evaluating the Locality Domain feature introduced in CUDA 13.4 examines multi-die scaling, data placement, and cross-die communication on NVIDIA Blackwell GPUs. The study demonstrates that die-aware adaptations achieve significant speedups for tools including NCCL 2.32.3, nvbandwidth, and DeepGEMM, while also identifying memory allocation overheads.
AI-generated summary HPC-Bench is a performance-grounded benchmark introduced to evaluate large language models as optimizers of computational kernels in realistic high-performance computing workloads. The benchmark includes 114 workloads across 16 high-performance computing computational motifs and provides an automated evaluation pipeline with correctness-gated metrics.
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