2 个仓库
Awesome GitHub RepositoriesGPU Command Interceptors
Wrappers for graphics API calls that measure execution time and throughput by intercepting hardware driver commands.
Distinct from GPU Kernel Implementations: Distinct from GPU kernel implementations: focuses on monitoring and wrapping existing commands rather than implementing new kernels.
Explore 2 awesome GitHub repositories matching artificial intelligence & ml · GPU Command Interceptors. Refine with filters or upvote what's useful.
Awesome GPU Command Interceptors GitHub Repositories
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- plasma-umass/scalene
plasma-umass/scalene
13,449在 GitHub 上查看Scalene is a high-performance diagnostic utility designed to measure resource consumption during the execution of Python applications. It functions as a line-level monitor, providing granular insights that pinpoint the specific source code responsible for performance overhead. The tool distinguishes itself through statistical profiling that captures stack traces and resource usage without requiring manual instrumentation of the source code. It tracks CPU, GPU, and memory consumption by intercepting library-level calls and hardware driver commands, allowing for the analysis of both managed and
Wraps graphics API calls to measure execution time and memory throughput by intercepting commands sent to the hardware driver.
Pythoncpucpu-profilinggpu - eunomia-bpf/bpf-developer-tutorial
eunomia-bpf/bpf-developer-tutorial
4,145在 GitHub 上查看该项目是一个教育资源，提供了一个全面的开发教程，用于在 Linux 内核中使用 C、Go 和 Rust 编写并加载 eBPF 程序。它作为一个技术指南，用于开发直接在内核中执行的自定义逻辑。 这些材料涵盖了专门的领域，包括内核可观测性和追踪、用于入侵检测的安全实现，以及用于包过滤和负载均衡的高性能网络工程。它还包括用于 Linux 内核追踪以及使用 kprobes、uprobes 和 tracepoints 的专用手册。 该项目涵盖了广泛的功能领域，如内核插桩、系统监控和可观测性、网络分析以及安全强制执行。它进一步扩展到 GPU 和驱动程序的硬件级调试，以及底层系统操作和资源管理。
Provides techniques for measuring latency between GPU command submission and execution.
Cbpfebpfexamples
