…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…
…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…
…the minimally required surface sites were transferred. This can incur a significant power cost. On the other hand, the entire operation may be carried out with a single kernel. Latencies incurred can…
…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…
…JetPack 7 Overview JetPack 7 gives you full support for the NVIDIA Jetson Orin ™ and Thor ™ platform, preemptable real-time kernel, Multi-Instance GPU (MIG), and integrated Holoscan Sensor Bridge . Built on…
…Silent failures or performance regressions are introduced by mismatches between libraries, drivers, and hardware Each category requires specific tools and techniques. A mature ecosystem of solutions exists, and applying them systematically can…
…DOCA Argus automatically identifies the Linux kernel version running on the host system and applies kernel-specific memory maps to locate the precise memory structures required for analysis. Supporting both x86 and…
…CUDA Hardware Trace is now default – Hardware-based tracing is now default when supported, and fallback to software for various conflicts or unsupported situations. Use --trace=cuda-sw to force to software…
…This advance shifts inference performance limits from matrix math to non-linear SFU operations, making hardware-software co-design techniquesincluding LDTM.STAT offloading, CUDNN optimization, and NVFP4 KVCache managementcritical for maximizing attention…