Optimizing RNN Performance
Results for “performance”
97 tools found
It's fine to use PACKET_MMAP to improve the performance of the capture and transmission process in Linux.
netsniff-ng is a free Linux networking toolkit, a Swiss army knife for your daily Linux network plumbing if you will. Its gain of performance is reached by zero-copy mechanisms, so that on packet reception and transmission the kernel does not need to copy packets from kernel space to user space and vice versa.
A JavaScript compiler and TypeScript checker written in Rust with a focus on static analysis and runtime performance. Ezno's type checker is built from scratch. The checker is fully compatible with TypeScript type annotations and can work without any type annotations at all.
copyright: — In-depth static analysis to find issues in verticals of bug risks, security, anti-patterns, performance, documentation and style. Native integrations with GitHub, GitLab and Bitbucket. Less than 5% false positives.
Performance optimizer for R code (with GUI).
Mago is a complete toolchain for PHP, written in Rust, designed from the ground up for maximum performance.
Go static analysis that specialises in finding bugs, simplifying code and improving performance.
High-performance, multi-platform VNC client and server. ([Source Code](https://github.com/TigerVNC/tigervnc)) `GPL-2.0` `C++`
Lightweight, distributed system performance and analysis framework. ([Source Code](https://github.com/performancecopilot/pcp)) `LGPL-2.1/GPL-2.0` `C`
EasyBuild builds software and modulefiles for High Performance Computing (HPC) systems in an efficient way. ([Source Code](https://github.com/easybuilders/easybuild-easyconfigs)) `GPL-2.0` `Python`
Asynchronous framework for rapid development of high-performance web application.
Lightweight asynchronous framework built from the ground up for developing high-performance web applications.
Load testing tool designed for ease of use, maintainability and high performance.
Functional testing and performance measurements.
Framework for building high-performance network applications.
High-performance mathematics, linear algebra and optimisation needed for data science, machine learning and scientific computing.
JDBC connection pool library with advanced performance monitoring capabilities.
High-performance relational database layer over HBase for low-latency applications.
In-memory high performance caching library.