Search Results for "gpu processor"
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Showing 16 open source projects for "gpu processor"
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Universal x86 Tuning Utility
Unlock the full potential of your Intel/AMD based device
Unlock the full potential of your Intel/AMD-based device. -
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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. It integrates natively with Android (replacing older atrace/Systrace paths) and can sit alongside custom instrumentation in apps or services through its SDKs. -
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OpenVINO
OpenVINO™ Toolkit repository
...Reduce resource demands and efficiently deploy on a range of Intel® platforms from edge to cloud. This open-source version includes several components: namely Model Optimizer, OpenVINO™ Runtime, Post-Training Optimization Tool, as well as CPU, GPU, MYRIAD, multi device and heterogeneous plugins to accelerate deep learning inferencing on Intel® CPUs and Intel® Processor Graphics. It supports pre-trained models from the Open Model Zoo, along with 100+ open source and public models in popular formats such as TensorFlow, ONNX, PaddlePaddle, MXNet, Caffe, Kaldi. -
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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. ... -
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powerMAX
powerMAX is a CPU and GPU burn-in test
powerMAX is a CPU and GPU burn-in tool designed to push your hardware to its absolute thermal and power limits. It helps users uncover stability issues, cooling weaknesses, and power delivery problems by applying maximum, sustained stress to both the processor and graphics card. The utility supports dedicated CPU tests—SSE or AVX—and a demanding GPU 3D rendering test, with the option to run both simultaneously for full-system power load evaluation. -
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...RC1 is now came out🎉🎉🎉 Note: Old Archived ISOs are based on Devuan Chimaera and MX 21.3 Main Website: https://devuboxlinux.github.io/ Official Channel: https://www.youtube.com/channel/UCywtLk7H83pLhn9mVvEZgAw (Outdated) Ventoy is untested. Use Rufus, BalenaEtcher, or MX Live USB Maker. Created in indonesia🇮🇩 System Requirements: Processor: 1 gigahertz (Ghz) or faster with 1 or more cores Memory: 1GB Minimum* (With Swap/Zram) / 2GB+ Recommended Storage: 16GB HDD Minimum / 20GB+ HDD or SSD Recommended Integrated or Discrete GPU with 3D acceleration (128 MB+ VRAM) Legacy BIOS or UEFI (Non Secure Boot) 1024x768 VGA Minimum / 1366x768+ Recommended No TPM and Internet is not required for installation!
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Tria Sistema Operatiu
Helps you find, download & burn the best Operating System for any PC
Tria O.S. detects hard & soft specs of the PC where you run it, you can load this info or specify it manually to let the program inform you what would be the best operating system for a specific PC, with the specified hardware, and then see the difference by adding RAM, a SSD hard drive, changing the graphics card ... etc. REQUIREMENTS: For Linux, you need GAMBAS 3.3 or later, so you will have to install the gambas3 package before installing. 90's EDITION needs 160 MB (192 MB on... -
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PDP-OmniSim
PDP-OmniSim simulating parallel and distributed processing systems
PDP-OmniSim 🧬 Scientific Overview PDP-OmniSim is an advanced computational framework for simulating parallel and distributed processing systems, with cutting-edge applications in computational neuroscience, distributed computing, and complex systems modeling. The framework provides researchers with robust tools for large-scale simulations of networked systems and their emergent behaviors. 🎯 Key Scientific Contributions 🔬 Interdisciplinary Research Domains Computational... -
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AMD APU Tuning Utility
Unlock the full potential of your Zen-based APU with AMD APU Tuning
...Universal x86 Tuning Utility serves as a lightweight alternative to well-known software like Ryzen Master and Intel XTU (Extreme Tuning Utility). One of the main features of the utility is the fine-grained control it offers over the device's processor and GPU(s). Users can access a wide range of settings, allowing them to adjust clock speeds, power limits, voltages, and other performance-related parameters. -
Next-Gen Encryption for Post-Quantum Security | CLEAR by Quantum KnightCLEAR by Quantum Knight is a FIPS-140-3 validated encryption SDK engineered for enterprises requiring top-tier security. Offering robust post-quantum cryptography, CLEAR secures files, streaming media, databases, and networks with ease across over 30 modern platforms. Its compact design, smaller than a single smartphone image, ensures maximum efficiency and low energy consumption.
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Ubuntu Mate + Hacking Tools
Ubuntu Mate Hacking Distro
...To execute hacking tools in Ubuntu Mate enter Menu>Terminal and write sudo su fsociety To Upgrade your system to the latest version use the following command in Terminal: sudo apt-get upgrade Includes KaliLinux Repositores + ClassicMenu Indicator Recommended Requirements for HD 720p Optimal Setting: Intel Core Processor 8GB RAM 2GB GDDR5 GPU 120GB SSD -
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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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SageMaker Chainer Containers
Docker container for running Chainer scripts to train and host Chainer
SageMaker Chainer Containers is an open-source library for making the Chainer framework run on Amazon SageMaker. This repository also contains Dockerfiles which install this library, Chainer, and dependencies for building SageMaker Chainer images. Amazon SageMaker utilizes Docker containers to run all training jobs & inference endpoints. The Docker images are built from the Dockerfiles specified in Docker/. The Docker files are grouped based on Chainer version and separated based on Python... -
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NCrypted
NCrypted - simple file encryption software with GPU support
NCrypted is a simple file encryption software. It is implemented on top of AES 128-bit algorithm. This software was designed to be as simple as possible, so you won't find any fancy, flashy gui elements or complicated advanced options. You can also use it directly from command line. NCrypted can automatically detect and take advantage of your NVidia graphics card to speed up the file processing. -
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GENIE (GEne-geNe IntEraction)
GPU based Parallel Gene-Gene Interaction Analysis
...However, currently there are no genetic analysis software packages that allow users to fully utilize the computing power of these multi-core devices for genetic interaction analysis for binary traits. Here we present a novel software package GENIE, which utilizes the power of multiple GPU or CPU processor cores to parallelize the interaction analysis. Citation: Chikkagoudar, S., Wang, K., & Li, M. (2011). GENIE: a software package for gene-gene interaction analysis in genetic association studies using multiple GPU or CPU cores. BMC research notes, 4(1), 158. -
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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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