Search Results for "memory" - Page 54
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Showing 3196 open source projects for "memory"
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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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Tiny Multi Bootloader+
Serial Bootloader for Microchip, Atmel, NXP, TI, 8051 microcontrolers
...A Bootloader is a firmware running in the microcontroler device which allows the user to send it's own firmware without the need of a programmer. This Bootloader consists of: - firmwares for many devices (this firmware need to be send to the device's flash memory with a programmer, only once) - a PC software which communicates with the bootloader firmware in the device and send the user's program in its memory Where does it come from? This Bootloader is based on "Tiny PIC Bootloader" made by Claudiu Chiculita. A special THANK to him!!! What can it do? It can program: - Microchip PIC10/12/16/18/24/32/dsPIC30/33 - Atmel ATtiny, ATmega - TI MPS430 - NXP ARM Cortex-M0+ - Silicon Labs C8051 And this: - with light modifications to the Bootloader firmware for new devices - without modifying your source code or using a special linker script - via GUI or command line prog - with automatic Reset -
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T81 558
Applications of Deep Neural Networks
...Deep learning allows a neural network to learn hierarchies of information in a way that is like the function of the human brain. This course will introduce the student to classic neural network structures, Convolution Neural Networks (CNN), Long Short-Term Memory (LSTM), Gated Recurrent Neural Networks (GRU), General Adversarial Networks (GAN) and reinforcement learning. Application of these architectures to computer vision, time series, security, natural language processing (NLP), and data generation will be covered. High-Performance Computing (HPC) aspects will demonstrate how deep learning can be leveraged both on graphical processing units (GPUs), as well as grids. -
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CSAPP-Labs
Solutions and Notes for Labs of Computer Systems
CSAPP-Labs is a repository that organizes and provides practical lab exercises corresponding to the famous textbook Computer Systems: A Programmer’s Perspective (CS:APP), helping students deepen their understanding of how computer systems work at the machine level. The exercises cover core topics such as data representation, assembly language, processor architecture, cache behavior, memory hierarchy, linking, and concurrency, contextualizing abstract concepts from the book in real code and experiments. Each lab is structured to include test programs, Makefiles, harnesses, and step-by-step instructions that guide students through hands-on interaction with low-level programming and system behavior. By actually building and debugging code that runs close to hardware, learners acquire intuition about performance trade-offs, bit-level manipulation, stack frame layout, and how compilers and OS features influence execution. -
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Ostara
Ostara is an admin app for Spring Boot applications
...With Ostara we wanted to create a tool that just works out of the box, without the need for anything besides a functioning Actuator API on the other end. Ostara allows you to gain insights into the performance and health of your applications by providing real-time data of metrics such as CPU and memory usage, app and system properties, beans and their dependencies, and much more. In addition the app allows you to perform actions on your applications like changing log levels and evict caches. Ostara is open source and free to use. We would greatly appreciate any feedback, recommendations and/or requests. -
99.99% Uptime for MySQL and PostgreSQL DatabasesCloud SQL Enterprise Plus delivers near-zero downtime with 35 days of point-in-time recovery. Supports MySQL, PostgreSQL, and SQL Server.
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Papa Parse
CSV parser that handles large files and malformed input
...Auto-detect delimiter, open local files, download remote files, stream local and remote files, multi-threaded, header row support, type conversion, skip commented lines, fast mode, graceful error handling, and optional sprinkle of jQuery. Specify a step callback to receive the results row-by-row. This way, you won't load the whole file into memory and crash the browser. If you tell Papa there is a header row, each row will be organized by field name instead of index. If you want numbers and booleans, you can enable dynamic typing to do the conversion for you. -
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MetalPetal
A GPU accelerated image and video processing framework built on Metal
MetalPetal is an image processing framework based on Metal designed to provide real-time processing for still images and video with easy-to-use programming interfaces. This chapter covers the key concepts of MetalPetal, and will help you to get a better understanding of its design, implementation, performance implications, and best practices. A MTIImage object is a representation of an image to be processed or produced. It does directly represent image bitmap data instead it has all the... -
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MC 6800 Emulator for Teensy 4
6800 Emulator runs on Teensy 4 processor
6800/ET-3400 Emulator, designed for the Teensy 4.0/4.1 processors. Build this with the Arduino IDE 2.0. Full Source and readme included in archive. Programs written in 6800 assembly can be run in the emulator. It supports two modes of operation, an internal monitor program and a mode that emulates the Heathkit ET3400 (and ET-6800) microprocessor trainers. Motorola released the MC6800 chip in 1974. It was a source of inspiration for the designers of the more popular (and cheaper) 6502 chip... -
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YHTML
YHTML, HTML5 Components for Lazarus
Standalone Server. Generate optimized HTML5 code to manage file, pictures or data. Applications created in memory. YHTML uses a package of extended packages. Les applications YHTML sont des application WEB qui ne nécessitent pas d’installation de serveur. YTHML génère du code HTML5 de manière optimisée ce qui limite le transfert des données HTML sur le réseau. YHTML fonctionne entièrement en mémoire et ne va pas utiliser le disque dur, le temps de réponse est alors immédiat. ... -
Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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SimpleXlsxWriter
C++ library for creating XLSX files for MS Excel 2007 and above.
This library represents XLSX files writer for Microsoft Excel 2007 and above. The main feature of this library is that it uses C++ standard file streams. On the one hand it results in almost unnoticeable memory and CPU resources consumption while processing (that may be very useful at saving a large data arrays), but on the other hand it makes unfeasible to edit data that were written. Hence, if using this library the structure of the future report should be known enough. The library is written in C++ with using STL functionality and based on the ZIP library (included), which has a free license: http://www.codeproject.com/Articles/7530/Zip-Utils-clean-elegant-simple-C-Win32 This library is distributed under the terms of the zlib license: http://www.zlib.net/zlib_license.html -
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Amiga Memories
A walk along memory lane
Amiga Memories is a project (started & released in 2013) that aims to make video programmes that can be published on the internet. The images and sound produced by Amiga Memories are 100% automatically generated. The generator itself is implemented in Squirrel, the 3D rendering is done on GameStart 3D. An Amiga Memories video is mostly based on a narrative. The purpose of the script is to define the spoken and written content. The spoken text will be read by a voice synthesizer (Text To... -
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SocketCluster
Highly scalable realtime pub/sub and RPC framework
Highly scalable pub/sub and RPC toolkit optimized for async/await. Pub/sub-channels are very cheap. You can have millions of unique channels without worrying about memory or CPU usage. Channels are automatically cleaned up when they are no longer used. The socket cluster CLI tool exposes kubectl (Kubernetes) shortcut commands to make deploying your app to any Kubernetes cluster really easy. All necessary Kubernetes .yaml files are provided. After deploying your app to a Kubernetes cluster, you can scale indefinitely by using the kubectl scale deployment command to add more SCC-worker and SCC-broker instances as needed. ... -
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Aurae
Distributed systems runtime daemon written in Rust
Aurae is on a mission to be the most loved and effective way of managing workloads on a node. Our hope is that by bringing a better set of controls to a node, we can unlock brilliant higher-order distributed systems in the future. Aurae deploys a memory-safe 1 runtime daemon, process manager, and PID-1 initialization system to remotely schedule processes, containers, and virtual machines as well as set node configurations (e.g., networking storage). Through system proportioning and enterprise workload isolation techniques, the Aurae open-source project can complement higher-order schedulers and control planes (such as Kubernetes) as Aurae supports the usage of multi-tenant workloads and enterprise identities all the way down to the socket layer. -
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Classic HWUT
Software Unit Tests (Language Independent Approach)
Automation of Unit and System Tests. Tests can be implemented in any language and on many platforms. The flexible approach enables the inclusion of many types of tests, such as memory leak checks (using valgrind), coding rule checks, complexity checks, etc. Tests are run by a simple call to hwut in a base directory of a project. In particular for C, HWUT supports make file generation using 'sos' and 'sols' modes. Remote control-able function stubs may be generated using the 'stub' mode. Test cases can be generated using the 'gen' mode, and state machine walkers by the 'sm_walker' mode. ... -
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Mars Framework
Mars is a tensor-based unified framework for large-scale data
...Its architecture automatically divides large computational tasks into smaller chunks that can be executed across multiple nodes in a cluster, allowing complex analytics, machine learning workflows, and data transformations to run efficiently at scale. Mars is particularly useful for workloads that exceed the memory capacity of a single machine or require high levels of parallel processing. -
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PoemKit
React toolkit for building a full website that also is a Micro-Fronten
A free web kit with React for fast web design and development via SSR. It also is a Micro-Frontend Architecture. Using react, redux, router, axios and express. This project was bootstrapped with nodejs library. Project supports automatic deployments from a number of repository hosting services via pm2. PoemKit delivers more than 50+ built-in UI components for building modern web applications. Source: https://github.com/xizon/poemkit -
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FasterTransformer
Transformer related optimization, including BERT, GPT
...The library supports multiple deep learning frameworks, including TensorFlow, PyTorch, and Triton, allowing developers to integrate it into existing pipelines without major changes. It includes advanced optimization techniques such as mixed precision, tensor parallelism, and efficient memory management, enabling large models to run across multiple GPUs and nodes. FasterTransformer is particularly focused on inference workloads, where it significantly improves performance compared to standard framework implementations. Although development has transitioned toward TensorRT-LLM, the project remains an important reference for understanding optimized transformer execution. -
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xfemm
Cross platform electromagnetics finite element analyisis based on FEMM
...Development of xfemm now takes place on Github here: https://github.com/REOptimize-Systems/xfemm xfemm is a refactoring of the core algorithms of the popular Windows-only FEMM (Finite Element Method Magnetics, www.femm.info) to use only the standard template library and therefore be cross-platform. The codes can be used as a library, standalone executables, or through the advanced Matlab/Octave interface, which uses direct data exchange at the memory level rather than the original FEMM ActiveX or file-based interface, for much improved communication speed. If you use xfemm, particularly for industrial work, but also academic, it will be greatly appreciated if you could write an email stating this and how it has supported your work. This is a low-cost way to ensure further development and maintenance will continue! -
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Privaxy
Privaxy is the next generation tracker and advertisement blocker
...A single instance of Privaxy on a small virtual machine, server or even, on the same computer as the traffic is originating from, can filter thousands of requests per second while requiring a very small amount of memory. -
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Selfie
An educational software system of a tiny self-compiling C compiler
...The common theme is to identify and resolve self-reference in systems code which is seen as the key challenge when teaching systems engineering, hence the name. Selfie is implemented in a single (!) file and kept minimal for simplicity. There is also a simple in-memory linker, a RISC-U disassembler, a garbage collector, L1 instruction and data caches, a profiler, and a debugger with replay. -
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Nerd
Javascript's God Mode. No VM. No Bytecode
...Its design philosophy centers on eliminating runtime overhead by translating high-level scripting constructs into efficient, low-level native code that can run directly on hardware. This approach enables significantly improved performance compared to conventional JavaScript engines, while also reducing memory usage and execution latency. NerdLang targets environments such as embedded systems, microcontrollers, and edge devices, where resource constraints make traditional JavaScript runtimes impractical. It supports compilation for platforms like Arduino and Raspberry Pi, positioning itself as a bridge between scripting convenience and systems-level efficiency. -
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SnappyData
Memory optimized analytics database, based on Apache Spark
SnappyData (aka TIBCO ComputeDB) is a distributed, in-memory optimized analytics database. SnappyData delivers high throughput, low latency, and high concurrency for a unified analytics workload. By fusing an in-memory hybrid database inside Apache Spark, it provides analytic query processing, mutability/transactions, access to virtually all big data sources and stream processing all in one unified cluster. -
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xBridge - I2C/SMBus GUI
USB Bridge for SMBus/I2C, GPIO, & Clock
[Introduction] The xBridge-M01 product is a multifunctional USB bridge developed by Doidx. It can control and transmit SMBus/I2C, GPIO, Clock and other interfaces through USB. The product includes software and hardware. It has the characteristics of easy use and development. The core chip is CP2112 Graphical software and operating manual can be downloaded for free at http://xbridge-m01.doidx.com Provide the underlying Java API, http://xsmbus-m01.doidx.com , which can do simple... -
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ixy-languages
A high-speed network driver written in C, Rust, C++, Go, C#, Java
...This project reimplements the ixy driver architecture in Rust, Go, C++, Zig, and possibly other languages, maintaining the same driver semantics and API so users can compare performance, expressivity, safety, and expressiveness trade-offs. The repository helps systems and networking learners understand how low-level I/O code behaves differently in memory-safe languages versus unsafe ones. Each language subdirectory includes build scripts, language-specific idioms (e.g. unsafe blocks in Rust), binding layers, and benchmarks for packet I/O and latency. -
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FairScale
PyTorch extensions for high performance and large scale training
...It introduced Fully Sharded Data Parallel (FSDP) style techniques that shard model parameters, gradients, and optimizer states across ranks to fit bigger models into the same memory budget. The library also provides pipeline parallelism, activation checkpointing, mixed precision, optimizer state sharding (OSS), and auto-wrapping policies that reduce boilerplate in complex distributed setups. Its components are modular, so teams can adopt just the sharding optimizer or the pipeline engine without rewriting their training loop. ...