Search Results for "silont-kernel-onclite"
Sort By:
Showing 72 open source projects for "silont-kernel-onclite"
View related business solutions-
Build Securely on Azure with Proven FrameworksMoving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
-
Build Securely on AWS with Proven FrameworksMoving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
-
1
gVisor
Application Kernel for Containers
...Its key runtime, runsc, integrates seamlessly with container ecosystems such as Docker and Kubernetes, making it easy to deploy sandboxed workloads using familiar tools. By intercepting and safely handling syscalls from applications, gVisor reduces the attack surface of the host kernel, mitigating risks associated with running untrusted or potentially malicious code in containerized environments. -
2
fswatch
A cross-platform file change monitor with multiple backends
...A monitor based on kqueue, an event notification interface introduced in FreeBSD 4.1 and supported on most BSD systems (including OS X). A monitor based on inotify, a Linux kernel subsystem that reports file system changes to applications. A monitor based on File Events Notification, a Solaris/Illumos kernel API that reports file events. A monitor based on ReadDirectoryChangesW, a Microsoft Windows API that reports changes to a directory. -
3
Perfetto
Production-grade client-side tracing, profiling, and analysis
...It’s designed around a low-overhead producer/consumer model: instrumented components (“producers”) write binary events into shared memory buffers and a collector (“service”) reliably streams them to storage. 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. ... -
4
FlashMLA
FlashMLA: Efficient Multi-head Latent Attention Kernels
FlashMLA is a high-performance decoding kernel library designed especially for Multi-Head Latent Attention (MLA) workloads, targeting NVIDIA Hopper GPU architectures. It provides optimized kernels for MLA decoding, including support for variable-length sequences, helping reduce latency and increase throughput in model inference systems using that attention style. The library supports both BF16 and FP16 data types, and includes a paged KV cache implementation with a block size of 64 to efficiently manage memory during decoding. ... -
Enterprise-grade ITSM, for every businessFreshservice is an intuitive, AI-powered platform that helps IT, operations, and business teams deliver exceptional service without the usual complexity. Automate repetitive tasks, resolve issues faster, and provide seamless support across the organization. From managing incidents and assets to driving smarter decisions, Freshservice makes it easy to stay efficient and scale with confidence.
-
5
Redpanda
Redpanda is a streaming data platform for developers
...We recommend users leverage our pre-built stable releases which are vetted, tested, and reproducible with exact versions of the entire transitive dependency graph, including exact compilers all built from source. The only thing we do not build yet is the Linux Kernel, but soon! -
6
TensorRT
C++ library for high performance inference on NVIDIA GPUs
NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference. It includes a deep learning inference optimizer and runtime that delivers low latency and high throughput for deep learning inference applications. TensorRT-based applications perform up to 40X faster than CPU-only platforms during inference. With TensorRT, you can optimize neural network models trained in all major frameworks, calibrate for lower precision with high accuracy, and deploy to hyperscale data centers,... -
7
NVTX (NVIDIA Tools Extension Library)
C-based Application Programming Interface (API)
...The API is written in C and includes wrappers for C++ and Python, making it accessible across different programming environments and workloads. NVTX is particularly valuable in high-performance computing and AI workloads where understanding concurrency, memory usage, and kernel execution is critical for optimization. -
8
miniblink49
Lighter, faster browser kernel of blink to integrate HTML UI in apps
miniblink is an open source, one file, small browser widget based on chromium. By using C interface, you can create a browser with just some line code. miniblink is an open source, single-file, and currently the smallest known chromium-based browser control. Through its exported pure C interface, a browser control can be created in a few lines of code. C++, C#, Delphi and other language calls (support C++, C#, Delphi language to call). Embedded Nodejs, support electron (with Nodejs, can run... -
9
Swoole
Coroutine-based concurrency library for PHP
...The network layer in Swoole is event-based and takes full advantage of the underlying epoll/kqueue implementation, making it really easy to serve millions of requests. Swoole 4.x uses a brand new engine kernel and now it has a full-time developer team, so we are entering an unprecedented period in PHP history which offers a unique possibility for rapid evolution. -
Go From AI Idea to AI App FastAccess Gemini 3 and 200+ models. Build chatbots, agents, or custom models with built-in monitoring and scaling.
-
10
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. ... -
11
dlib
Toolkit for making machine learning and data analysis applications
Dlib is a modern C++ toolkit containing machine learning algorithms and tools for creating complex software in C++ to solve real world problems. It is used in both industry and academia in a wide range of domains including robotics, embedded devices, mobile phones, and large high performance computing environments. Dlib's open source licensing allows you to use it in any application, free of charge. Good unit test coverage, the ratio of unit test lines of code to library lines of code is... -
12
QP Real-Time Event Frameworks & Tools
Real-Time Event Frameworks based on active objects & state machines
...The QP RTEFs can run on bare-metal microcontrollers, replacing a traditional RTOS. The frameworks contain a selection of built-in real-time kernels (RTOS kernels), such as the cooperative QV kernel, the preemptive non-blocking QK kernel, and the unique preemptive, dual-mode (blocking/non-blocking) QXK kernel. Native QP ports and ready-to-use examples are provided for ARM Cortex-M (M0/M0+/M3/M4/M7/M33/...) as well as other CPUs. The QP RTEFs can also work with many traditional RTOSes and General-Purpose OSes, such as Linux and Windows. -
13
OProfile is a low-overhead, transparent profiler for Linux, capable of instruction-grain profiling of all processes, shared libraries, the kernel and device drivers, via the hardware performance counters.
-
14
ChibiOS/RT is a free and efficient RTOS designed for deeply embedded applications. It offers a comprehensive set of kernel primitives and supports many architectures: ARM7, Cortex-M0, Cortex-M3, Cortex-M4, PowerPC e200z, STM8, AVR, MSP430, ColdFire, H8S, x86.
-
15
HydraDragonAntivirus
Open Source Antivirus/XDR for Windows operating system
Dynamic and static analysis with Real Time Malware Analysis with Antivirus for Windows, including open-source XDR (3 EDR projects), ClamAV, YARA-X, machine learning AI, behavioral analysis, Unpacker, Deobfuscator, Decompiler, website signatures, Ghidra, Suricata, Sigma, Kernel, Hypervisior based protection and much more than you can imagine. -
16
Eagle Mode
Zoomable user interface (ZUI) with file manager, file viewers and more
...Furthermore, the virtual cosmos contains a chess game, a netwalk game, a 3D minesweeper game, a multi-function clock, a stock watchlist, some fractals, and a Linux kernel configurator in form of a kernel patch. -
17
KaNaPi
Educational Linux Distribution
Main goals: * Prepare operating system based on Linux kernel and free software for use at home from scratch by building sources. Binary packages/images are also available. * Each package is installed in separate directory, so you can use different versions of applications and libraries by design. * There is only one user 'kanapi' with root permissions, so you don't have to login, remember passwords, etc -
18
MLPACK is a C++ machine learning library with emphasis on scalability, speed, and ease-of-use. Its aim is to make machine learning possible for novice users by means of a simple, consistent API, while simultaneously exploiting C++ language features to provide maximum performance and flexibility for expert users. * More info + downloads: https://mlpack.org * Git repo: https://github.com/mlpack/mlpack
-
19
DiDasm is a small and fast disassembler, useful for Windows kernel developers. Advantages: - highly portable, has minimal runtime requirements (C runtime); - core libraries do not require any external components; - includes instructions emulator (diana_processor); - has stream oriented design; Supported platforms: i386, amd64 Supported instructions: x586/amd64/FPU/MMX/SSE/SSE2
-
20
Flashlight library
A C++ standalone library for machine learning
Flashlight is a fast, flexible machine learning library written entirely in C++ by Facebook AI Research and the creators of Torch, TensorFlow, Eigen, and Deep Speech. Native support in C++ and simple extensibility make Flashlight a powerful research framework that's hackable to its core and enables fast iteration on new experimental setups and algorithms with little unopinionated and without sacrificing performance. In a single repository, Flashlight provides apps for research across... -
21
MACE
Deep learning inference framework optimized for mobile platforms
...Chip-dependent power options like big.LITTLE scheduling, Adreno GPU hints are included as advanced APIs. UI responsiveness guarantee is sometimes obligatory when running a model. Mechanism like automatically breaking OpenCL kernel into small units is introduced to allow better preemption for the UI rendering task. Graph level memory allocation optimization and buffer reuse are supported. The core library tries to keep minimum external dependencies to keep the library footprint small. -
22
ork
Ork - An OpenGL rendering kernel from Inria
-
23
The FSKC is a CASE tool that allows developers to specify all valid and invalid state-event combinations of a finite state machine (FSM) through a simple to use GUI. Functions called from the FSK can be coded and linked to form a complete FSM.
-
24
StateOS
Free real-time operating system designed for microcontrollers
Free, extremely simple, amazingly tiny and very fast real-time operating system (RTOS) designed for deeply embedded applications. Target: ARM Cortex-M, STM8. It was inspired by the concept of a state machine. Procedure executed by the task (task state) doesn't have to be noreturn-type. It will be executed into an infinite loop. There's a dedicated function for immediate change the task state. -
25
Muduo
Event-driven network library for multi-threaded Linux server in C++11
Muduo is a multithreaded C++ network library based on the reactor pattern. Use of this source code is governed by a BSD-style license that can be found in the License file. Requires Linux kernel version equal or above 2.6.28. Tested on Debian 7 and above, Unbuntu 14.04 and above, and CentOS 7 and above. Install required packages Debian, Ubuntu, etc. See .travis.yml for additional packages for building more examples.
