Search Results for "processor cpu"
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Showing 15 open source projects for "processor cpu"
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Telegraf
The plugin-driven server agent for collecting and reporting metrics
Telegraf is an agent for collecting, processing, aggregating, and writing metrics. Design goals are to have a minimal memory footprint with a plugin system so that developers in the community can easily add support for collecting metrics. Telegraf is plugin-driven and has the concept of 4 distinct plugin types. Input Plugins collect metrics from the system, services, or 3rd party APIs. Processor Plugins transform, decorate, and/or filter metrics. Aggregator Plugins create aggregate metrics... -
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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. ... -
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Intel PCM
Intel® Performance Counter Monitor (Intel® PCM)
Intel® Performance Counter Monitor (Intel® PCM) is an application programming interface (API) and a set of tools based on the API to monitor performance and energy metrics of Intel® Core™, Xeon®, Atom™ and Xeon Phi™ processors. PCM works on Linux, Windows, Mac OS X, FreeBSD, DragonFlyBSD and ChromeOS operating systems. -
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Phalcon
High performance, full-stack PHP framework delivered as a C extension
Its innovative architecture makes Phalcon the fastest PHP framework ever built! Developers do not need to know C to use Phalcon. Its functionality is exposed as PHP classes and interfaces under the Phalcon namespace, ready to be used. Zephir/C extensions are loaded together with PHP one time on the web server's daemon start process. Classes and functions provided by the extension are ready to use for any application. The code is compiled and isn't interpreted because it's already compiled to... -
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Jittor
Jittor is a high-performance deep learning framework
Jittor is a high-performance deep learning framework based on JIT compiling and meta-operators. The whole framework and meta-operators are compiled just in time. A powerful op compiler and tuner are integrated into Jittor. It allowed us to generate high-performance code specialized for your model. Jittor also contains a wealth of high-performance model libraries, including image recognition, detection, segmentation, generation, differentiable rendering, geometric learning, reinforcement... -
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Hurt My CPU
Stress-Test your Processor
A simple tool which lets you spawn threads that do heavy work, thus hurting your CPU. -
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SC/MP Processor Emulator
Emulator of the ancient 8 bit microprocessor SC/MP 2
Emulator of the ancient 8 bit microprocessor ISP-8A 500D/600D or more common "SC/MP" from National Semiconductor. The download contains all sources plus an executable Java Jar file to start right away. Some SC/MP hex dump examples are provided in directory "/etc" as well. The download also contains unit tests and some helping documentation (also in /etc). You may slow down the CPU operations, displaying the CPUs status register as LEDs, to watch the CPU working with its... -
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SageMaker TensorFlow Serving Container
A TensorFlow Serving solution for use in SageMaker
...Amazon SageMaker uses Docker containers to run all training jobs and inference endpoints. The Docker images are built from the Dockerfiles in docker/. The Dockerfiles are grouped based on the version of TensorFlow Serving they support. Each supported processor type (e.g. "cpu", "gpu", "ei") has a different Dockerfile in each group. If your are testing locally, building the image is enough. But if you want to your updated image in SageMaker, you need to publish it to an ECR repository in your account. You can also run your container locally in Docker to test different models and input inference requests by hand. -
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node-in-debugging
Node.js Debugging Guide
Node.js Debugging Guide is a Chinese-language technical book and repository about diagnosing performance, memory, code, and production problems in Node.js. Its CPU section introduces Linux perf, FlameGraph, V8 profiling, and the Tick Processor. Memory chapters cover core dumps, llnode, heap snapshots, leak detection, and CPU or memory monitoring. Code-level material examines promises, async and await, stack traces, the event loop, native Rust add-ons, and uncaught exceptions. Tooling lessons use source maps, Chrome DevTools, Visual Studio Code, debugging modules, REPL utilities, and hot reload. ... -
Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
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armvd
ARM Visual Disassembler
Created with Flat Assembler + Z macro language. -
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LBP in multiple platforms
LBP implementation in multiple computing platforms (ARM,GPU, DSP...)
...When selecting a suitable LBP implementation platform, the specific application and its requirements in terms of performance, size, energy efficiency, cost and developing time has to be carefully considered. This is a software toolbox that collects software implementations of the Local Binary Pattern operator in several platforms: - OpenCL for CPU & GPU - OpenCL for GPU (branchless) - C code optimized for ARM - OpenGL ES 2.0 shaders mobile GPUs - C code for TI C64x DSP core (branchless) - C code for TTA processor synthesis If you use the code somewhere, please cite: Bordallo López M., Nieto A., Boutellier J., Hannuksela J., and Silvén O. "Evaluation of real-time LBP computing in multiple architectures," Journal of Real Time Image Processing, 2014 -
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This project enables Java applications to access detailed information about the host on which the JVM is running. This code was originally developed to run on a billion $ company's Grid System for host detection, and is now being released publicly.
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Tas is a multi-platform multi-lingual assembler for the Freescale eTPU intelligent timer module. The assembler has a C compatible pre-processor for easy integration with host CPU code. The assembler also supports the original TPU module.
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Monty compiler
Low level programming language and compiler
Low level programming language and compiler close to python. Intended for experiments with in processor design. Consists of language definition, compiler and simple cpu simulation written in python. The compiler can be adapted to different processors easily. -
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Xenon Emulator
Emulator for the Xenon CPU inside the Xbox 360
This is a project to create an emulator for the Xenon processor of the Xbox 360 with the purpose of creating a emulator for the Xbox 360 platform that can be used to run Xbox homebrew on the PC
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