…The timescale for acquisition of each image is 40 seconds. Live data processing—to promptly send alerts to telescopes around the world and steer observation decisions—requires accelerated computing. These steps require…
…Processing and analyzing these datasets to extract the physics has conventionally required more than nine months of computational time. XFEL research facilities include SwissFEL in Switzerland, Spring-8 Angstrom Compact free-electron…
…defined kernels, such as the matrix multiplications from FBGEMM for the Llama 3.1 models using plug-ins that are explicitly inserted into the network graph definition at compile time to accelerate…
…Faster kernels— this included a combination of higher-performance kernels and the use of fewer kernels because of kernel fusions. Optimized Attention Data Parallel— Better balancing of context requests between different ranks…
…ALCHEMI Toolkit-Ops provides high-throughput, PyTorch-integrated GPU kernels for core operations in MLIP-driven simulationsneighbor list construction (both O(N) and O(N) variants), DFT-D3 dispersion correction (BJ variant…
…CUTLASS Modular C++ templates and Python DSLs for building high-performance kernels targeting NVIDIA Tensor Cores. FlashInfer GPU-accelerated kernel library, accessible via Python API for inference, optimizing attention, MoEs, GEMMs, comms…
…Normalized timestamps for CPU and GPU trace Profile hardware and software event counters, including: Utilization metrics for various hardware units Instruction count and throughput Memory load/store events and throughput Cache hits…
…CUDA Tile NVIDIA CUDA Tile is the GPU programming model that simplifies the creation of optimized, tile-based kernels and targets portability for special-purpose hardware including Tensor Cores. Nsight Developer Tools…
…MTP is the most practical for developers because it requires no additional training for models that already support it. Programmatic Dependent Launch (PDL) : This update provides faster decode performance. Dependent kernels can…
…Normalized timestamps for CPU and GPU trace Profile hardware and software event counters, including: Utilization metrics for various hardware units Instruction count and throughput Memory load/store events and throughput Cache hits…