Awesome GitHub RepositoriesData Layout Optimizers

Presto is a distributed SQL query engine designed for high-performance analytical processing across heterogeneous data sources. It functions as a data federation platform and massively parallel processing engine, allowing users to execute interactive queries against diverse storage systems without requiring data migration. By mapping remote metadata and structures to a unified relational namespace, it enables seamless cross-platform analysis through a standard SQL interface. The engine distinguishes itself through a pluggable connector architecture and a shared-nothing distributed processing

This project is a comprehensive library for numerical linear algebra and scientific computing, designed to provide optimized routines for matrix decomposition, statistical modeling, and high-performance data analysis. It serves as both a toolkit for solving complex linear systems and an educational resource for understanding the fundamental algorithms behind matrix factorizations and numerical solvers. The library distinguishes itself through a focus on randomized numerical linear algebra, utilizing probabilistic algorithms and approximate methods to perform dimensionality reduction and matri

Boto3 is the AWS SDK for Python, providing a programmatic interface for managing and automating AWS cloud infrastructure and services. It serves as a cloud management API client and resource manager for provisioning, configuring, and scaling virtual servers, databases, and storage. The library enables the implementation of infrastructure-as-code through declarative templates and scripts, allowing for the deployment of identical resource stacks across multiple accounts and geographic regions. It also provides a framework for coordinating distributed workflows, serverless functions, and contain

Odin is a compiled, statically typed systems programming language designed for high-performance software development. It focuses on pragmatic low-level memory control, providing a toolset for manual memory management and precise control over hardware utilization. The language is distinguished by its flexible memory model, which includes custom allocators and precise data layout capabilities to optimize resource usage. It features a comprehensive foreign function interface for importing assembly files and linking with external libraries using configurable calling conventions. The type system

Delta is a lakehouse table format that brings ACID transactions and data warehouse consistency to large scale data lakes on cloud object storage. It serves as an ACID transaction manager, coordinating atomic commits and serializable isolation for concurrent reads and writes across distributed compute engines. The project provides a multi-engine interoperability layer that uses format translation to allow diverse SQL engines and processing frameworks to read and write the same tables. It functions as a data versioning system, utilizing a transaction log to enable time travel, historical snapsh

Thorium is a web browser built from the Chromium project, designed for high performance and expanded compatibility. It utilizes aggressive compiler optimizations and CPU-specific instruction sets, such as AVX2 and SIMD, to increase page rendering and JavaScript execution speeds. The project distinguishes itself by providing custom builds that enable modern web browsing on legacy versions of Windows and Linux. It further diverges from standard browser implementations by integrating Widevine DRM and native support for high-efficiency media formats, including HEVC and JPEG XL. Broad capabilitie

Mooncake ist eine disaggregierte Plattform für das Serving von Large Language Models und ein verteilter Key-Value-Store, der für eine hochperformante Inferenz-Infrastruktur konzipiert wurde. Es fungiert als GPU-Speicher-Orchestrator und KV-Cache-Managementsystem, das Key-Value-Caches über Cluster hinweg bündelt und überträgt, um die Inferenz zu beschleunigen. Das System zeichnet sich dadurch aus, dass es die Prefill- und Decode-Phasen der Inferenz in separate Hardware-Cluster trennt, um die Ressourcennutzung zu optimieren. Es nutzt einen hochperformanten verteilten RDMA-Cache mit Zero-Copy-Transfers, um Daten zwischen Rechenknoten zu verschieben und dabei die CPU zu umgehen, um Latenz und Overhead zu reduzieren. Die Plattform deckt breite Funktionsbereiche ab, einschließlich verteiltem Memory-Pooling, Beschleuniger-Speicher-Routing via CXL und Multi-Tier-Storage-Offloading auf SSDs. Es verwaltet den Cluster-Status durch Metadaten-Koordinationsdienste und implementiert Ressourcen-Governance mittels lease-basierter Objektschutzmechanismen und wasserzeichenbasierter Cache-Eviction. Die Software ist für containerisierte Deployments verpackt, mit Unterstützung für Host-Networking und Hardware-Device-Mapping.