Search Results for "c memory allocator"
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Showing 33 open source projects for "c memory allocator"
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bitnet.cpp
Official inference framework for 1-bit LLMs
bitnet.cpp is the official open-source inference framework and ecosystem designed to enable ultra-efficient execution of 1-bit large language models (LLMs), which quantize most model parameters to ternary values (-1, 0, +1) while maintaining competitive performance with full-precision counterparts. At its core is bitnet.cpp, a highly optimized C++ backend that supports fast, low-memory inference on both CPUs and GPUs, enabling models such as BitNet b1.58 to run without requiring enormous compute infrastructure. The project’s focus on extreme quantization dramatically reduces memory footprint and energy consumption compared with traditional 16-bit or 32-bit LLMs, making it practical to deploy advanced language understanding and generation models on everyday machines. ... -
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Unified Communication X
Communication framework for data-centric high-performance applications
Accelerate Your Network Performance with UCX. Collaboration between industry, laboratories, and academia to create an open-source, production-grade communication framework for data-centric and high-performance applications. Unified Communication X (UCX) is an award winning, optimized production proven communication framework for modern, high-bandwidth and low-latency networks. UCX exposes a set of abstract communication primitives which utilize the best of available hardware resources and... -
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Tiny CUDA Neural Networks
Lightning fast C++/CUDA neural network framework
This is a small, self-contained framework for training and querying neural networks. Most notably, it contains a lightning-fast "fully fused" multi-layer perceptron (technical paper), a versatile multiresolution hash encoding (technical paper), as well as support for various other input encodings, losses, and optimizers. We provide a sample application where an image function (x,y) -> (R,G,B) is learned. The fully fused MLP component of this framework requires a very large amount of shared... -
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Sming
Open source framework simplifying the creation of C++ applications
Sming is an asynchronous embedded C/C++ framework with superb performance and multiple network features. Sming is open source, modular and supports multiple architectures including ESP8266 and ESP32. Superb performance and memory usage (Sming compiles to native firmware!) Fast and user-friendly development. Integrated host emulator to assist with developing, testing, and debugging libraries and applications on a PC before uploading them to an actual microcontroller. ... -
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EnTT
A fast and reliable entity component system (ECS) and much more
...A constexpr utility for human readable resource names. An incredibly fast entity-component system based on sparse sets, with its own pay for what you use policy to adjust performance and memory usage according to the users' requirements. Offers a minimal configuration system built using the monostate pattern. -
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react-native-mmkv-storage
Encrypted mobile key-value storage framework for React Native
...Read about it on this blog post I wrote on dev.to. Starting from v0.5.0 the library has been rewritten in C++ on Android and iOS both. It employs React Native JSI making it the fastest storage option for React Native. MMKV uses mmap to keep memory synced with file, and protobuf to encode/decode values to achieve the best performance. -
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MMKV for Android
An efficient, small mobile key-value storage framework
MMKV for Android is an efficient, small mobile key-value storage framework developed by WeChat. Works on Android, iOS, macOS, Windows, and POSIX. Efficient. MMKV uses mmap to keep memory synced with file, and protobuf to encode/decode values, making the most of Android to achieve best performance. MMKV supports concurrent read-read and read-write access between processes. Easy-to-use. You can use MMKV as you go. All changes are saved immediately, no sync, no apply calls needed. MMKV contains... -
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fswatch
A cross-platform file change monitor with multiple backends
A cross-platform file change monitor with multiple backends: Apple OS X File System Events API, BSD kqueue, Solaris/Illumos File Events Notification, Linux inotify and a stat()-based backend. fswatch is a file change monitor that receives notifications when the contents of the specified files or directories are modified. fswatch implements four kinds of monitors. A monitor based on the File System Events API of Apple OS X. A monitor based on kqueue, an event notification interface introduced... -
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MegEngine
Easy-to-use deep learning framework with 3 key features
MegEngine is a fast, scalable and easy-to-use deep learning framework with 3 key features. You can represent quantization/dynamic shape/image pre-processing and even derivation in one model. After training, just put everything into your model and inference it on any platform at ease. Speed and precision problems won't bother you anymore due to the same core inside. In training, GPU memory usage could go down to one-third at the cost of only one additional line, which enables the DTR... -
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AL-IV
ALFOUR Programming language. Simple, safe, power, multi-platform.
A programming language AL-IV (ALFOUR) is a high-level imperative object oriented programming language with minimal introduction level, easy porting to any platform claiming a very high level of safety and stability, with a controllable level of code protection, high efficiency of an executable code, full independence from a target platform, minimal enter level. -
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OneFlow
OneFlow is a deep learning framework designed to be user-friendly
OneFlow is a deep learning framework designed to be user-friendly, scalable and efficient. An extension for OneFlow to target third-party compiler, such as XLA, TensorRT and OpenVINO etc.CUDA runtime is statically linked into OneFlow. OneFlow will work on a minimum supported driver, and any driver beyond. For more information. Distributed performance (efficiency) is the core technical difficulty of the deep learning framework. OneFlow focuses on performance improvement and heterogeneous... -
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MACE
Deep learning inference framework optimized for mobile platforms
Mobile AI Compute Engine (or MACE for short) is a deep learning inference framework optimized for mobile heterogeneous computing on Android, iOS, Linux and Windows devices. Runtime is optimized with NEON, OpenCL and Hexagon, and Winograd algorithm is introduced to speed up convolution operations. The initialization is also optimized to be faster. Chip-dependent power options like big.LITTLE scheduling, Adreno GPU hints are included as advanced APIs. UI responsiveness guarantee is sometimes... -
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handy
A simple C++11 network server framework
Simple and easy-to-use C++11 network library/ Supports tens of millions of concurrent connections on a single machine/ a simple C++11 network server framework. Graceful exit allows programmers to better define the exit behavior of their programs. You can better check for memory leaks with tools such as valgrind. 10 lines of code to write a complete server. -
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V8 JavaScript Engine
The official mirror of the V8 Git repository
V8 is Google’s high-performance, open-source JavaScript and WebAssembly engine written in C++, powering Chrome, Node.js, and embedded in many environments. It implements ECMAScript and WebAssembly standards with optimizations for speed and resource efficiency. V8 is Google's open source JavaScript engine. V8 implements ECMAScript as specified in ECMA-262. V8 is written in C++ and is used in Google Chrome, the open source browser from Google. V8 can run standalone, or can be embedded into any... -
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one advanced C lib for UNIX and WINDOWS
one server framework
Advanced C/C++ library(ACL) for UNIX-like OS and WIN32 OS, including sync/async/ssl iostream for net/file, thread pool, process pool, db pool, server framework, event, memory, string, array/hash/ring/list, xml and json parser, http/smtp/icmp protocol, SSL/TLS, C unit test, etc -
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The Silicon Web Framework
A high performance, middleware oriented C++14 http web framework
Silicon is a C++ abstraction built on top of high-performance networking libraries. Its goal is to ease the writing of web APIs without compromising on performance. A simple mono-procedure API serving a static string under the route /hello/world. mhd_json_serve is a Silicon backend. It takes an API and serves it with the microhttpd C library. It relies on the JSON format whenever it has to encode or decode objects (procedures parameters and return values). Silicon relies on static objects... -
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CPoll based C++ server pages
Server side scripting language similar to ASP and PHP, but using C++.
CPPSP (C++ Server Pages) is an open source web application framework similar to ASP.NET. It features a template parser that parses, compiles, and loads CPPSP pages automatically at runtime. CPPSP pages have a very similar syntax to ASP and ASP.NET, where all code is considered HTML by default, and server-side active code can be embedded using "<% ... %>". -
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BxEngine
BxEngine For Marmalade And QT
BxEngine is middleware game engine. png decoder / pathfind logic / scene system / memory system / telex system / particle / STL (named BxVar) / pooling / singleton / http query cache system / xml parser / express fixed float / dynamical resource loading / BEKON parser (better json) / THROW (dynamical parameter) / software renderer / animation-tool / particle-tool (Marmalade... -
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MathX
Fixed-length Arithmetic-types library
MathX is a fixed-length arithmetic-types written in pure c++ templates. The goal is to provide signed-integer, unsigned-integer, IEEE-754 float-point and fixed-point types, all with specific number of bits. To this moment, only signed-integer and unsigned-integer are completed for little-endain architecture. Any compiler that support c++03 or c++11 can successfully compile MathX. Refer to README for more information. -
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PerfCache
A high-performance C++ cache library implementing O(1) LRU and LFU.
PerfCache is an API that allows for creation and management of a memory cache. It includes basic cache operations (insert and retrieve), replacement policies, and expiration. Cache entry keys are strings of bytes, and data items are arrays of bytes. Variable length keys and data are supported. The cache itself is implemented as an array. The cache infrastructure includes a directory, mapping cache entry keys to cache array indices, and a sub-system for handling cache entry replacement... -
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A generic implementation of STL containers and some STL algorithms. The main intent is no make this STL implementation to work with any kind of pointers defined by allocator classes, e.g. memory_mgr::offset_ptr.
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C++ portable library designed to be used on 32/64-bit operating systems, as a series of header files, which can be included separately, or all together as a complete library. Memory manipulation, file handling, data types, etc. visit cppocl.co.uk. The status of this library will only be kept up to date on cppocl.co.uk. I have abandoned using Source Forge for access to the source code, and am currently not making development of the library available for open source, although this might change in the future if there is any public demand or support. ...
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Knarvik is a table-oriented framework for C++. Knarvik generates source code for an in-memory database of your design.
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This was my first attempt at a persistent (disk-based) allocator, but I aimed too high, used too many obscure C++ features and it got away from me. You will need the version of v3c mentioned in configure.ac.in to build it. Like I said, it contains lots of really obscure C++, if you're curious. This project isn't being actively maintained anymore - see it's way-cooler C/C++ replacement here at SourceForge - treedb.
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Base C/C++ library providing unit testing framework with integrated memory leak and buffer overrun detection.
