1 مستودع
Awesome GitHub RepositoriesRuntime Resource Profiles
Records queue submissions and memory lifecycles into structured files for offline analysis.
Distinct from Execution Profilers: Captures hardware-specific resource lifecycles (queues/memory) rather than just method-level call graphs.
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Awesome Runtime Resource Profiles GitHub Repositories
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- iree-org/iree
iree-org/iree
3,819عرض على GitHubIREE is an MLIR-based compiler toolchain and runtime designed to translate machine learning models from various frameworks into optimized binaries for execution across diverse hardware targets. It provides a unified pipeline to ingest models from PyTorch, TensorFlow, JAX, and ONNX, lowering them into a common intermediate representation for deployment on CPUs, GPUs, and bare-metal embedded systems. The project distinguishes itself through a bytecode virtual machine and a hardware abstraction layer that decouple high-level model logic from specific hardware instruction sets. It supports sophis
Records queue submissions and memory lifecycles into a structured file for performance analysis.
C++compilercudajax
