Search Results for "shared memory allocator" - Page 3
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Showing 200 open source projects for "shared memory allocator"
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Punica
Serving multiple LoRA finetuned LLM as one
Punica is a system designed to efficiently serve multiple LoRA-fine-tuned large language models within a shared GPU environment. LoRA is a parameter-efficient fine-tuning method that allows developers to adapt large pretrained models to specific tasks by adding lightweight adapter layers rather than retraining the entire model. Punica introduces a serving architecture that allows multiple LoRA adapters to share the same base model during inference, significantly reducing memory consumption and computational overhead. ... -
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Animation Compression Library
Animation Compression Library
Animation compression is a fundamental aspect of modern video game engines. Not only is it important to keep the memory footprint down but it is also critical to keep the animation clip sampling performance fast. The more memory an animation clip consumes, the slower it will be to sample it and extract a character pose at runtime. For these reasons, any game that attempts to push the boundaries of what the hardware can achieve will at some point need to implement some form of animation... -
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ccgsl
Use Gnu Scientific Library as if it were writtem in C++.
The ccgsl provides simple C++ wrappers for the GNU Scientific Library. It uses Java-like shared-pointer classes in place of structs to avoid direct memory allocation/freeing and to work better with the STL. It lets you construct functions for optimisation, root-finding and the like from C++ member functions, making it easier to integrate with existing C++ code. It also provides C++ exceptions. -
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gpustat
A simple command-line utility for querying and monitoring GPU status
...It serves as a simplified alternative to the more verbose nvidia-smi tool by presenting key GPU metrics in a compact, developer-friendly format. The utility retrieves data through NVIDIA’s NVML bindings and displays information such as temperature, utilization, memory usage, and running processes directly in the terminal. Because it is easy to install via pip and requires minimal configuration, gpustat is widely used in machine learning environments, research clusters, and shared GPU servers. The tool also supports watch mode for continuous monitoring and JSON output for integration into automation pipelines. ... -
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Wasmer Python
WebAssembly runtime for Python
...It provides a Pythonic API for loading, compiling, and executing WebAssembly binaries while maintaining strong security guarantees through sandboxing. The library allows interaction with WebAssembly modules via imports, exports, and shared memory, enabling integration between Python code and compiled modules written in other languages. By leveraging the underlying Wasmer runtime, it delivers near-native execution performance while remaining platform-independent. Wasmer Python is particularly useful for embedding plugins, running untrusted code safely, or executing cross-language workloads in a consistent environment. ... -
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Rocket Chip
Rocket Chip Generator
...A diplomacy framework (LazyModules) lets designers wire components with negotiated parameters, enabling reuse and rapid exploration of different cache sizes, port counts, and memory hierarchies. The generator supports custom accelerators through the RoCC interface, allowing domain-specific compute units to be plugged into the pipeline with shared cache and memory semantics. Tooling integrates with FIRRTL, Verilator, and commercial EDA flows, and the ecosystem around Rocket Chip (e.g., Chipyard) adds harnesses, peripherals, and verification infrastructure. -
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shmcat
A tool to dump shared memory segments, files and text
This is a simple tool that dumps shared memory segments (System V and POSIX), files and text. It might be useful when you have to debug programs that use shared memory. -
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PJON
Experimental, arduino-compatible, multi-master, multi-media network
PJON® (Padded Jittering Operative Network) is an experimental, Arduino-compatible, multi-master, multi-media, software-defined network protocol that can be easily cross-compiled on many microcontrollers and real-time operative systems like ATtiny, ATmega, SAMD, ESP8266, ESP32, STM32, Teensy, Raspberry Pi, Zephyr, Linux, Windows x86, Apple and Android. PJON operates on a wide range of media, data links and existing protocols like PJDL, PJDLR, PJDLS, Serial, RS485, USB, ASK/FSK, LoRa, UDP,... -
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minicoro
Single header stackful cross-platform coroutine library in pure C
Minicoro is a single-file library for using asymmetric coroutines in C. The API is inspired by Lua coroutines but with C's use in mind. The project is being developed mainly to be a coroutine backend for the Nelua programming language. The library assembly implementation is inspired by Lua Coco by Mike Pall. -
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Wasmer Go
WebAssembly runtime for Go
...The runtime delivers near-native performance by leveraging Wasmer’s optimized execution engine while maintaining strong sandboxing guarantees for safe execution of untrusted code. Wasmer Go supports loading, compiling, and running WebAssembly modules, as well as interacting with them through imports, exports, and memory management. It relies on precompiled shared libraries and CGO to bridge between Go and the underlying Wasmer runtime, ensuring compatibility across multiple operating systems. -
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direct-data-flow-lib
The library for HPC data exchange
The library for HPC data exchange in form of input and output channels transparent for users -
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rt-agents
Agent system for HPC real time applications
Agent system for HPC real time applications -
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Emerald
An operating system written in C
emerald is a minimalistic Unix-like operating system kernel developed for x86_64 systems, focused on being lightweight, modular, and understandable. Written in C and assembly, emerald serves as a learning tool for OS enthusiasts who want to explore kernel design from scratch. It includes basic components such as multitasking, paging, interrupts, and system calls, while maintaining a clear and concise codebase. Emerald is a strong starting point for building more complex systems or... -
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LinLocalize for Windows is an application for localizing executables to other languages. It automates resource translation to great length. Application language can be switched over regitry. No code needs to be included in application. Delphi XE source code for MS-Windows is available on subversion. - Compiling LinLocalize with Delphi XE10 is working - Using LinLocalize for translating Delphi XE10 Projects is working - LinLocalize is an 32bit Application but can handle 64bit...
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OpenResty SystemTap Toolkit
Real-time analysis and diagnostics tools for OpenResty
The openresty-systemtap-toolkit is a collection of SystemTap-based scripts designed for real-time analysis and diagnostics of OpenResty and its core components, including NGINX, LuaJIT, and ngx_lua. It provides developers and system administrators with tools to trace performance bottlenecks, memory usage, request distribution, regex execution, Lua execution, and file I/O behaviors in production systems. The toolkit helps identify leaks, analyze TCP queues, inspect shared memory usage, and generate flame graphs for CPU and off-CPU profiling. Many scripts are specific to NGINX worker and master processes, while others are generic enough to be applied to any Linux user-space process. ... -
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Unused
A command line tool to identify unused code
Unused identifies unused code in Rails, Phoenix, and other types of applications, improving developer productivity. By default, unused leverages a different memory allocator called mimalloc. For my local benchmarks, it speeds up execution by a significant amount (which is documented in the commit introducing mimalloc), but currently runs into sporadic issues on Apple M1 devices. If you run into issues with segmentation faults, consider reinstalling unused with the stock Rust allocator. It is strongly recommended you install Universal Ctags to generate tags files. ... -
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SIGnature by MAFII
SIGnature by MAFII is an ultra-lightweight System Information Gatherer
The data gathered includes: * General system information, such as the Manufacturer, Model, and Serial Number of the system * BIOS information such as the Name, Version, and Release Date of the currently installed BIOS * Operating System information such as Name, Version, Build, Installed Service Pack * Information about the installed CPU(s) * Detailed information about the system memory, including the total number of RAM slots available on the motherboard * Information about Disks, including Network Drives * Information about File Shares which are shared from the computer * Data about local and shared / network printers, including the share path and IP address / port used * Information about Network Adapter configurations * Detailed information about installed software, including Info/About URLs and Help / Support URLs where available (does not pull product keys). -
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ELF (Extensive Lightweight Framework)
An End-To-End, Lightweight and Flexible Platform for Game Research
...A C++ core provides fast environments and concurrent actors, while Python bindings expose simple APIs for agents, replay, and optimization loops. It supports both single-agent and multi-agent settings, with batched stepping and shared-memory queues that keep GPUs saturated during training. ELF introduced widely used reference systems, most notably ELF OpenGo, demonstrating at-scale self-play with strong analysis tooling and public checkpoints. Its design emphasizes reproducibility: deterministic seeds, logging, and evaluation harnesses make large-scale experiments trackable and comparable. ... -
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GUN
Cybersecurity protocol for syncing decentralized graph data
GUN is a small, easy, and fast data sync and storage system that runs everywhere JavaScript does. The aim of GUN is to let you focus on the data that needs to be stored, loaded, and shared in your app without worrying about servers, network calls, databases, or tracking offline changes or concurrency conflicts. This lets you build cool apps fast. When a browser peer asks for data, it'll merge the reply with its own data using a CRDT, then cache the result. GUN is fully decentralized... -
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libaco
A blazing fast and lightweight C asymmetric coroutine library
...The benchmark part shows that a context switch between coroutines only takes about 10 ns (in the case of the standalone stack) on the AWS c5d.large machine. User could choose to create a new coroutine with a standalone stack or with a shared stack (could be shared with others). It is extremely memory-efficient, 10,000,000 coroutines simultaneously to run cost only 2.8 GB physical memory (run with tcmalloc, each coroutine has a 120B copy-stack size configuration). The phrase "fastest" in above means the fastest context switching implementation which complies to the Sys V ABI of Intel386 or AMD64. -
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R3ETelemetry
Open source telemetry tool for R3E
R3ETelemetry is a telemetry tool for the PC racing simulation RaceRoom Racing Experience (R3E) from Sector3 Studio. It helps to record and analyze your driving in R3E. R3ETelemetry uses the API from R3E (shared memory) to gather data in form of telemetry data. This data then can be analyzed inside R3ETelemetry. The tool also helps to prepare for long distance races, as it also records fuel consumption and tire wear (per lap). -
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Napa.js
Napa.js, a multi-threaded JavaScript runtime
...Node.js compatible module architecture with NPM support. API for object transportation, object sharing and synchronization across JavaScript threads. API for pluggable logging, metric and memory allocator. Distributed as a Node.js module, as well as supporting embed scenarios. Most of the time, there is no need to build Napa.js. When consuming Napa.js via npm install napajs, npm will first try to download the pre-build binaries for the current platform. -
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Lists all the processes, executables, and shared libraries that are using up virtual memory. It's helpful to see how the shared memory is used and which 'old' libs are loaded.
