…CCCL also extends this tensor-view model inside kernels with cuda::shared_memory_mdspan . Instead of treating shared memory as a flat buffer, developers can create multi-dimensional views over shared-memory…
…On the captured timeline, drill down into critical performance markers and inspect hardware unit throughputs, cache hit rates, memory throughput, and more. Analyze GPU Traces Nsight Graphics supports automated performance analysis on…
…For compute developers working in Eclipse development environment, please see Nsight Eclipse Edition NVIDIA® Nsight™ Visual Studio Edition is an application development environment for heterogeneous platforms which brings GPU computing into Microsoft…
…For compute developers working in Eclipse development environment, please see Nsight Eclipse Edition NVIDIA® Nsight™ Visual Studio Edition is an application development environment for heterogeneous platforms which brings GPU computing into Microsoft…
NVIDIA Holoscan SDK NVIDIA Holoscan is a domain-agnostic, multimodal AI sensor processing platform that provides the accelerated, full-stack infrastructure needed for real-time processing of streaming data at the edge…
…It provides several key features that distinguish it from traditional communication libraries, including symmetric memory (SM), stream-aware communication, copy engine offloading, and more, as detailed below. Symmetric memory NVSHMEM provides a…
…local HBM, host memory, SSD, and distributed or remote cache. Local lower-tier cache behavior can often be modeled as timing and resource pressure: G1 (GPU memory), G2 (host memory), transfer bandwidth…
…This powerful platform is designed to meet cutting-edge automotive product requirements, including advanced AI inference, high-performance computer vision, advanced graphics, high-end audio, and complex safety and security use cases…
…A cost-aware KV caching engine that transfers KV cache across various memory hierarchies, freeing up GPU memory while maintaining user experience. Grove : A modular component of Dynamo that simplifies deploying hierarchical…
…If the condition is met, the kernel skips the softmax and BMM2 calculation for that block and, crucially, skips loading the \(V\) block from High Bandwidth Memory (HBM). What are the benefits…