thehardwarestore.ai

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── 99193 repos indexed ── | filtered by tag: #gpu-virtualization
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mental2008/awesome-papers ★ 229 15 DATA_RESEARCH

This repository is a curated, actively-maintained personal knowledge base of academic paper reading notes, focused on systems for machine learning, cloud computing, and related areas. It is organized by conference venue (e.g., OSDI, SOSP, MLSys) and by topic (e.g., LLM systems, GPU sharing, memory disaggregation). The core content consists of markdown files with structured summaries (TL;DR, background, design, evaluation) and cross-linked topic aggregation pages. The repository is the source for a GitBook static site and includes scripts for building and serving that site, as well as utilities for PDF text extraction. While not a data pipeline or software application, it functions as a high-quality research resource with consistent formatting, curation guidelines, and reusable templates for note-taking and paper list organization.

RATING: 7.6/10 MAINT: active DRIFT: low
#paper-list #reading-notes #systems-for-ml #llm-systems #distributed-training #model-serving #research-curation #gitbook #paper-notes #research #machine-learning #reading-list #system-design #deep-learning #cloud-computing #resource-management #machine-learning-systems #gpu-virtualization #resource-scheduler #remote-direct-memory-access #systems-for-machine-learning
▸ 3 reusable components found
amd/MxGPU-Virtualization ★ 210 23 APPLICATION

This repository implements AMD's MxGPU virtualization solution, providing SR-IOV support for AMD GPUs (MI200, MI300, Navi32). It consists of a kernel module (GIM) that manages virtual functions, a core library (libgv) for hardware abstraction and RAS, and a user-space system management interface (SMI) with CLI and Python bindings. The architecture is layered: the kernel driver (gim/) communicates with hardware and exposes IOCTLs; libgv/ provides hardware-specific implementations via function pointer tables; smi-lib/ provides a unified API for monitoring, partitioning, RAS, and NIC management. Key entry points include the GIM kernel module (gim/gim_shim/gim_drv.c), the SMI CLI (smi-lib/cli/cpp/src/smi_cli_main.cpp), and the SMI library (smi-lib/src/amdsmi.c). Data flows involve PF-VF mailbox communication, RAS error logging via CPER, and telemetry collection through SMU firmware interfaces. External dependencies include Linux kernel headers, DKMS, and optional NIC libraries. The codebase is large and professionally structured, with extensive hardware abstraction layers, unit tests, and packaging scripts, though it carries maintenance risks from ASIC-specific duplication and embedded firmware blobs.

RATING: 7.5/10 MAINT: active DRIFT: medium
#gpu-virtualization #sriov #amd-gpu #kernel-module #system-management #ras #cli-tool
▸ 5 reusable components found
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