Search Results for "processor"
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Showing 25 open source projects for "processor"
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Asciidoctor PDF
Asciidoctor PDF: A native PDF converter for AsciiDoc
A fast text processor & publishing toolchain for converting AsciiDoc to HTML5, DocBook & more. Asciidoctor is a fast, open source, Ruby-based text processor for parsing AsciiDoc® into a document model and converting it to output formats such as HTML 5, DocBook 5, manual pages, PDF, EPUB 3, and other formats. Asciidoctor also has an ecosystem of extensions, converters, build plugins, and tools to help you author and publish content written in AsciiDoc. -
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Perfetto
Production-grade client-side tracing, profiling, and analysis
...The data model spans kernel and userspace, so you can stitch together CPU scheduling, app lifecycles, binder/IPC hops, GPU work, power and thermal signals, file I/O, heap samples, and more into a single coherent timeline. Perfetto’s ecosystem includes a web-based UI that can load multi-GB traces directly in the browser and an offline “trace processor” that exposes the trace as a queryable SQL-like table schema for deep analysis and automation. It integrates natively with Android (replacing older atrace/Systrace paths) and can sit alongside custom instrumentation in apps or services through its SDKs. -
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QuantumOptics.jl
Library for the numerical simulation of closed as well as open quantum
QuantumOptics.jl is a numerical framework written in the Julia programming language that makes it easy to simulate various kinds of open quantum systems. It is inspired by the Quantum Optics Toolbox for MATLAB and the Python framework QuTiP. QuantumOptics.jl optimizes processor usage and memory consumption by relying on different ways to store and work with operators. The framework comes with a plethora of pre-defined systems and interactions making it very easy to focus on the physics, not on the numerics. Every function in the framework has been severely tested with all tests and their code coverage presented on the framework's GitHub page. -
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Kotshi
An annotation processor that generates Moshi adapters
An annotation processor that generates Moshi adapters from Kotlin classes. There is a reflective adapter for Kotlin but that requires the Kotlin reflection library which adds a lot of methods and increases the binary size which in a constrained environment such as Android is something is not preferable. This is where Kotshi comes in, it generates fast and optimized adapters for your Kotlin data classes, just as if you'd written them by hand yourself. -
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GenAI Processors
GenAI Processors is a lightweight Python library
GenAI Processors is a lightweight Python library for building modular, asynchronous, and composable AI pipelines around Gemini. Its central abstraction is the Processor, a unit of work that consumes an asynchronous stream of parts (text, images, audio, JSON) and produces another stream, making it natural to chain operations and keep everything streaming end-to-end. Processors can be composed sequentially (to build multi-step flows) or in parallel (to fan-out work and merge results), which makes sophisticated agent behaviors easy to express with simple operators. ... -
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Apollo-11
Original Apollo 11 Guidance Computer (AGC) source code
...It is written in AGC assembly and reflects 1960s software engineering practices, complete with comments from the original programmers. The code is both a cultural artifact and a technical reference, illustrating how limited memory and processor constraints shaped algorithms and system design. Developers can examine navigation routines, guidance logic, and task scheduling in an environment with no luxury features—everything is explicit and resource-aware. The repository’s structure and documentation make it approachable for modern readers despite the archaic environment. ... -
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Embedded Template Library (ETL)
Embedded Template Library
C++ is a great language to use for embedded applications and templates are a powerful aspect. The standard library can offer a great deal of well-tested functionality, but there are some parts of the standard library that do not fit well with deterministic behavior and limited resource requirements. These limitations usually preclude the use of dynamically allocated memory and containers with open-ended sizes. What is needed is a template library where the user can declare the size, or... -
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Hacker Laws
Laws, theories, principles and patterns useful to developers
...This repository is a reference and overview of some of the most common ones. Principles and laws to follow such as: If a program is made up of two parts, part A, which must be executed by a single processor, and part B, which can be parallelised, then we see that adding multiple processors to the system executing the program can only have a limited benefit. It can potentially greatly improve the speed of part B - but the speed of part A will remain unchanged. Also, theories like The Broken Windows Theory, which suggests that visible signs of crime (or lack of care of an environment) lead to further and more serious crimes (or further deterioration of the environment). ... -
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Hyperion Android
App Debugging & Inspection Tool for Android
...To create your own plugin, implement the Plugin interface and expose the implementation as a service. The plugins made available in this repository leverage Google's AutoService annotation processor to generate the service metadata and simplify the process. -
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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oneDNN
oneAPI Deep Neural Network Library (oneDNN)
This software was previously known as Intel(R) Math Kernel Library for Deep Neural Networks (Intel(R) MKL-DNN) and Deep Neural Network Library (DNNL). oneAPI Deep Neural Network Library (oneDNN) is an open-source cross-platform performance library of basic building blocks for deep learning applications. oneDNN is part of oneAPI. The library is optimized for Intel(R) Architecture Processors, Intel Processor Graphics and Xe Architecture graphics. oneDNN has experimental support for the following architectures: Arm* 64-bit Architecture (AArch64), NVIDIA* GPU, OpenPOWER* Power ISA (PPC64), IBMz* (s390x), and RISC-V. oneDNN is intended for deep learning applications and framework developers interested in improving application performance on Intel CPUs and GPUs. ... -
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Micrometer Application Metrics
App observability facade for the most popular observability tools
...Micrometer provides vendor-neutral interfaces for timers, gauges, counters, distribution summaries, and long task timers with a dimensional data model that, when paired with a dimensional monitoring system, allows for efficient access to a particular named metric with the ability to drill down across its dimensions. Out-of-the-box instrumentation of caches, the class loader, garbage collection, processor utilization, thread pools, and more tailored to actionable insight. Micrometer is the instrumentation library powering the delivery of application observability from Spring Boot applications. -
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ocapi
C-level driver collection for MSP430 and derivatives
ocapi is an open source driver collection for MSP430 and derivative processors. It provides a C language application programming interface (API) for deploying individual processor capabilities. Current modules support serial communication via UART, I2C and SPI, digital I/O (GPIO), analog-to-digital conversion (ADC), Timers and so on. ocapi aims at being independent of the development host platform. So it should work, no matter if you live in the Windows, Linux or Mac world. ocapi is used as the hardware abstraction layer for the MSP430 port of the Takatuka Java virtual machine (JVM). ... -
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Arduino MIDI Library
MIDI for Arduino
This library adds MIDI I/O communications to an Arduino board. MIDI over USB, Bluetooth, IP & AppleMIDI (see Transports). Active Sensing support. Compatible with all Arduino boards (and clones with an AVR processor). Simple and fast way to send and receive every kind of MIDI message (including all System messages, SysEx, Clock, etc..). OMNI input reading (read all channels). Software Thru, with message filtering. Callbacks to handle input messages more easily. Last received message is saved until a new one arrives. Overridable template-based settings. ... -
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Happy Java Library
Multilock, Collections, Controllers, Delegates, Generators, Streams
Helps to develop and test event-based multi-threaded Java application. Because of method called as API-Evolution the Happy Java Library is fully downward compatible. The library contains following functionality: MultiLock, Parallel loops, Collections, Controllers, Generators, Delegates, Streams. -
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Android-State
A utility library for Android to save objects in a Bundle
A utility library for Android to save objects in a Bundle without any boilerplate. It uses an annotation processor to wire up all dependencies. It's recommended to turn on a global setting in your Application class to save and restore the instance state of all activities and fragments from the support library. After that you only need to annotate your fields with @State inside of your fragments and activities. You can save any type which can be saved in a Bundle like the String, Serializable, and Parcelable data structures. -
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DSL-JSON library
High performance JVM JSON library
...Originally built for invasive software composition with DSL Platform compiler. v1 core library was targeting Java6, while v2 targets Java8. So there is no need anymore for dsl-json-java8 project and instead, just dsl-json project should be referenced. From v2 only a single annotation processor is supported, which was previously in the java8 project. Joda and some other specific libraries were removed. If you still need converters for those types, you need to include them in your project. -
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Super CSV
A fast, programmer-friendly, free CSV library for Java
...It is highly configurable, and supports reading and writing with POJOs, Maps and Lists. It also has support for deep-mapping and index-based mapping with POJOs, using the powerful Dozer extension. Its flexible 'Cell Processor' API automates data type conversions (parsing and formatting Dates, Integers, Booleans etc) and enforces constraints (mandatory columns, matching against regular expressions etc) - and it's easy to write your own if required. Super CSV is actively maintained, and the developers are ready and willing to help out if you get stuck :) Please check out the project website for examples and help getting started -
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mini-toolchain
A very easy-use build toolchain for ARM target on the Windows platform
This is a native windows port of GNU C Compiler (GCC) , GNU utilities for the embedded processor ARM/MIPS. Includes extensions very useful tools for build images of arm/mips targets. mini-toolchain give a more efficient, small size tools and economical way to build images for embedded systems products.It integrated with GNU utilities, GCC and other common command, very easy to use and works perfectly. -
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KefirBB
The Java text processor.
Project was moved to https://github.com/kefirfromperm/kefirbb -
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Jades
Java distributed executor service library
...Handling of access restrictions is left to the user (ie you can type your password every time or use authentication keys). Nodes can be added dynamically. When a node is added, workers are created according to the node's processor count. Eg, a cluster of 4 quadcores will give 16 workers. -
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...The library also allows generation of command and response packet and controls communication between Transducer Interface Module and Network Capable Application Processor modules.
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An API that provides the command line arguments processing for Java applications. Using CMD Processor you can parse command line arguments with minimal efforts and can use init and destroy (optional) life cycle methods via plugin based architecture.
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FArP is JavaScript function arguments processor. It provides an easy way to parse function input arguments against expected types and values. Thanks to it developers can avoid chains of if conditions at the beginnings of their functions.
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Lightweight matrix lib, especially good for micro-blaze or other embedded processor which needs to do matrix operations. Supports Add, Subtract, Multiply, Transpose, and Invert (Cholesky Method). Compiles to 15kbs using -0s and is ISO C compliant.
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25
Numerikus is an attempt to build a set of numerical libraries written in C/C++, Fortran, Java and C# for single processor and multi-core processors. It wil have from basic functions to Linear Algebra solvers and ODE's and PDE's methods.
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