Search Results for "high performance computing"
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Showing 55 open source projects for "high performance computing"
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Seata
An easy-to-use, high-performance distributed transaction solution
Seata, or Simple Extensible Autonomous Transaction Architecture is an open source distributed transaction solution that brings high performance and easy-to-use distributed transaction services under a microservices architecture. It has 3 basic components: a Transaction Coordinator for maintaining the status of global and branch transactions; a Transaction Manager that defines the scope of global transaction; and a Resource Manager that manages resources being worked on by branch transactions, and drives branch transaction commit or rollback. ... -
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Apache Dubbo
A high performance Java RPC framework
Apache Dubbo is a high performance, lightweight, open source RPC framework written in Java. It offers three key functionalities: interface based remote call, load balancing and fault tolerance, and automatic service registration and discovery. Apache Dubbo is built to support multiple service registries and load balancing strategies right out of the box. -
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Spring Batch
Spring Batch is a framework for writing batch applications using Java
...Spring Batch provides reusable functions that are essential in processing large volumes of records, including logging/tracing, transaction management, job processing statistics, job restart, skip, and resource management. It also provides more advanced technical services and features that will enable extremely high-volume and high performance batch jobs through optimization and partitioning techniques. Simple as well as complex, high-volume batch jobs can leverage the framework in a highly scalable manner to process significant volumes of information. -
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Netty
An event-driven asynchronous network application framework
Netty is an asynchronous, event-driven networking framework for the JVM that simplifies building high-performance clients and servers. It wraps Java NIO with a channel/handler pipeline model, enabling clean composition of codecs, TLS, and application logic with minimal overhead. Its ByteBuf abstractions, buffer pooling, and zero-copy techniques help reduce GC pressure and improve throughput under heavy I/O. Support for common protocols—HTTP/1.1, HTTP/2, WebSocket, and raw TCP/UDP—makes it a foundation for RPC frameworks, proxies, and messaging systems. ... -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Fury
A blazing fast multi-language serialization framework
Fury is a blazing-fast multi-language serialization framework powered by jit(just-in-time compilation) and zero-copy, providing up to 170x performance and ultimate ease of use. Based on efficient JIT, struct deserialization can get 170x speed up compared to other serialization frameworks. In serialization scenarios, Fury can achieve a 100x speed up compared to traditional serialization frameworks. If you use Java clusters on a large scale, this will save a lot of computing resources. -
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Apache Sedona
Cluster computing framework for processing large-scale geospatial data
Apache Sedona™ is a cluster computing system for processing large-scale spatial data. Sedona extends existing cluster computing systems, such as Apache Spark and Apache Flink, with a set of out-of-the-box distributed Spatial Datasets and Spatial SQL that efficiently load, process, and analyze large-scale spatial data across machines. According to our benchmark and third-party research papers, Sedona runs 2X - 10X faster than other Spark-based geospatial data systems on computation-intensive... -
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zfoo
Extremely fast enterprise server framework, can be used in RPC
...It is especially useful for teams building high-performance game services or enterprise systems that need a unified backend foundation. -
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Apache Flink
Stream processing framework with powerful stream
Apache Flink is a distributed engine for stateful computations over data streams and batches, designed for low-latency processing at scale. Its core runtime executes dataflow graphs with fine-grained backpressure and checkpointing, allowing applications to recover consistently from failures. Flink’s event-time model and watermarks enable accurate out-of-order processing, windowing, and complex time semantics that typical real-time systems struggle with. Developers program against high-level... -
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Simple Binary Encoding (SBE)
Simple Binary Encoding (SBE) - High Performance Message Codec
SBE is an OSI layer 6 presentation for encoding and decoding binary application messages for low-latency financial applications. This repository contains the reference implementations in Java, C++, Golang, C#, and Rust. More details on the design and usage of SBE can be found on the Wiki. An XSD for SBE specs can be found here. Please address questions about the specification to the SBE FIX community. For the latest version information and changes see the Change Log with downloads at Maven... -
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Codename One
Cross-platform framework for building truly native mobile apps
An open-source mobile-first toolkit for building high-quality, cross-platform native apps for Android, iOS, Desktop & Web. Rapid cross-platform app development using Java or Kotlin with 100% code reuse. Apps are compiled down to native code for maximum performance and a smooth user experience. Write, debug, and test apps all inside your IDE (IntelliJ, Eclipse, VSCode or NetBeans) using the Codename One simulator. -
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jimmer
A revolutionary ORM framework for both java and kotlin.
A revolutionary ORM framework for both Java and kotlin and a complete integrated solution. You can view everything from the documentation. Brings dynamism into static language ORM frameworks, achieving flexible capabilities for operating on complex dynamic data structures without compromising the complete compile-time safety checks of static languages, eliminating DTO explosion and unafraid of engineering expansion and changing requirements. Its innovative SQL DSL supports dynamic table... -
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Vespa
The open big data serving engine
Make AI-driven decisions using your data, in real-time. At any scale, with unbeatable performance. Vespa is a full-featured text search engine and supports both regular text search and fast approximate vector search (ANN). This makes it easy to create high-performing search applications at any scale, whether you want to use traditional techniques or a modern vector-based approach. You can even combine both approaches efficiently in the same query, something no other engine can do. ... -
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Besu Ethereum Client
An enterprise-grade Java-based, Apache 2.0 licensed Ethereum client
You can use Besu to develop enterprise applications requiring secure, high-performance transaction processing in a private network. A private network is a network not connected to Ethereum Mainnet or an Ethereum testnet. Private networks typically use a different chain ID and proof of authority consensus (QBFT, IBFT 2.0, or Clique). You can also create a local development network using proof of work (Ethash). -
14
guide-rpc-framework
A custom RPC framework implemented by Netty+Kyro+Zookeeper
...The project provides code for client-side stubs, server-side skeletons, method dispatching, serialization, load balancing, and node management via Zookeeper. Since RPC remains a foundational building block in microservices, server architectures, and high-performance systems, this codebase helps you trace how requests are framed, routed, serialized, and executed across nodes. Because it integrates key pieces of the ecosystem (Netty event loops, Kyro object graphs, Zookeeper coordination), you also gain exposure to that stack. -
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Light-4J
A fast, lightweight and more productive microservices framework
Light means lightweight, lightning-fast and shedding light on how to program with modern Java SE for cloud-native deployment. I had been working on the Java EE platforms since early 2000 and suffered performance and productivity issues. In 2014, I realized that the IT industry was moving from Monolithic to Microservices and from on-premise data centers to the public clouds. To reduce the production cost for my applications, I need to find a lightweight platform that has a small memory footprint, high throughput, and low latency in Java. ... -
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Deep Java Library (DJL)
An engine-agnostic deep learning framework in Java
...Because DJL is deep learning engine agnostic, you don't have to make a choice between engines when creating your projects. You can switch engines at any point. To ensure the best performance, DJL also provides automatic CPU/GPU choice based on hardware configuration. -
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Brill Software
A faster way to develop React Web Applications
The Brill Framework allows React web applications to be built quickly using a "Low Code" approach. A Content Management System (CMS) supports editing of pages containing React components. The React components communicate with each other and the Server using a middleware that's based on WebSockets. With a "No Code" solution, there's always something you require that's not support. You spend ages bending the product to your requirements or pay the supplier to provide the components... -
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CloudTest-Cloud java unit test framework
A redefined framework with new approach and methodology for unit test
CloudTest is a redefined unit testing approach and methodology, which can make your testing jobs become much more easy and efficient. It is a pure java lightweight framework integrated test cases management, test data management, assert management, automation regression, performance monitor and test report in one. -
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Artemis-odb
A continuation of the popular Artemis ECS framework
...Expand your toolkit! Easy migration from Artemis clones. Optionally auto-pooled components and hotspot optimization via compile-time bytecode instrumentation. High performance, GC-friendly, less boilerplate! Automatic tracking, and maintenance of entity relationships. -
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VasSonic
Hybrid framework to speed up the first screen of websites
VasSonic is a lightweight and high-performance Hybrid framework developed by tencent VAS team, which is intended to speed up the first screen of websites working on Android and iOS platform. VasSonic is a lightweight and high-performance Hybrid framework developed by tencent VAS team, which is intended to speed up the first screen of websites working on Android and iOS platform. -
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JPPF
The open source grid computing solution
JPPF makes it easy to parallelize computationally intensive tasks and execute them on a Grid. -
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This framework provides an efficient and consistent solution for pagination search over large result set in J2EE.Its idea is to load only the particular page of data rather than all records that satisfy the input search criteria from database.
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Rapidoid
Extremely Fast, Simple and Powerful Java Web Framework and HTTP Server
Rapidoid is an extremely fast HTTP server and modern Java web framework / application container, with a strong focus on high productivity and high performance. Rapidoid is released under the liberal Apache Public License v2, so it is free to use for both commercial and non-commercial projects. -
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JavaCá&Lá
A Java Distributed Shared Memory Middleware
...We frequently use middlewares for that problem, but they are often complex and less productive. This way, at DECOM-UFOP, we have a middleware, named JavaCa&La or just JCL, to build portable and scalable solutions over many high performance computer architectures. Our middleware APIs is simple, intuitive and designed for young and senior programmers who don’t have high performance programming skills. Using our middleware, different programmers can develop applications in a collaborative way, i.e., one programmer application can read and write global variables from another application, developed by another programmer, in another machine, without explicit references. ... -
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Objective database abstraction layer (ODAL) is a high-performance database manipulation framework. Features include query API, O-R mapping, data validation/conversion, stored procedure support, code generation. Minimal dependencies. Short startup time.
