Search Results for "cpu benchmark linux"
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Showing 14 open source projects for "cpu benchmark linux"
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DALI
A GPU-accelerated library containing highly optimized building blocks
The NVIDIA Data Loading Library (DALI) is a library for data loading and pre-processing to accelerate deep learning applications. It provides a collection of highly optimized building blocks for loading and processing image, video and audio data. It can be used as a portable drop-in replacement for built-in data loaders and data iterators in popular deep learning frameworks. Deep learning applications require complex, multi-stage data processing pipelines that include loading, decoding,... -
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Bento
Packer templates for building minimal Vagrant baseboxes
Bento is a project that encapsulates Packer templates for building Vagrant base boxes. A subset of templates are built and published to the bento org on Vagrant Cloud. These published boxes serve as the default boxes for kitchen-vagrant. -
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POCO
Cross-platform C++ libraries for building network applications
The POCO C++ Libraries are powerful cross-platform C++ libraries for building network- and internet-based applications that run on desktop, server, mobile, IoT, and embedded systems. Whether building automation systems, industrial automation, IoT platforms, air traffic management systems, enterprise IT application and infrastructure management, security and network analytics, automotive infotainment and telematics, financial or healthcare, C++ developers have been trusting the POCO C++... -
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ko
Build and deploy Go applications on Kubernetes
ko is a simple, fast container image builder for Go applications. It's ideal for use cases where your image contains a single Go application without any/many dependencies on the OS base image (e.g., no cgo, no OS package dependencies). ko builds images by effectively executing go build on your local machine, and as such doesn't require docker to be installed. This can make it a good fit for lightweight CI/CD use cases. ko also includes support for simple YAML templating which makes it a... -
Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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SageMaker MXNet Inference Toolkit
Toolkit for allowing inference and serving with MXNet in SageMaker
SageMaker MXNet Inference Toolkit is an open-source library for serving MXNet models on Amazon SageMaker. This library provides default pre-processing, predict and postprocessing for certain MXNet model types and utilizes the SageMaker Inference Toolkit for starting up the model server, which is responsible for handling inference requests. AWS Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in TensorFlow, TensorFlow 2, PyTorch, and MXNet. Deep... -
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pyTorch Tutorials
Build your neural network easy and fast
pyTorch Tutorials is an open-source collection of hands-on tutorials designed to teach developers how to build neural networks with the PyTorch framework. It covers the fundamentals of PyTorch from basic tensor operations to constructing full neural network models, making it suitable for beginners and intermediate learners alike. The project is structured around clear, executable Python scripts and Jupyter notebooks that demonstrate regression, classification, convolutional networks,... -
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Jour is designed to simplify the use of Javassist for processing multiple classes. In short Jour is simple Aspect Oriented Programming AOP framework on top of Javassist.
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SageMaker TensorFlow Serving Container
A TensorFlow Serving solution for use in SageMaker
SageMaker TensorFlow Serving Container is an a open source project that builds docker images for running TensorFlow Serving on Amazon SageMaker. Some of the build and tests scripts interact with resources in your AWS account. Be sure to set your default AWS credentials and region using aws configure before using these scripts. 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... -
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babel-plugin-macros
Allows you to build simple compile-time libraries
Currently, each babel plugin in the babel ecosystem requires that you configure it individually. This is fine for things like language features but can be a frustrating overhead for libraries that allow for compile-time code transformation as an optimization. babel-plugin-macros defines a standard interface for libraries that want to use compile-time code transformation without requiring the user to add a babel plugin to their build system (other than babel-plugin-macros, which is ideally... -
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MorphMPI simulates an ABI for MPI. Applications compiled using MorphMPI can easily be relinked to use any MPI implementation on a compatible OS-cpu combination.
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GNUDE is a complete suite of GNU C, C++, Fortran, and Java Cross Compilers, and the GDB CPU Simulator and Debugger for embedded microprocessor applications development. Targets development for ARM7, ARM9, and XScale applications.
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SysUnit is a JUnit framework for distributed testing, system testing and integration testing. SysUnit is ideal for testing highly distributed software such as clusters of web applications, web services or MOM based software
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CodeXpand Engine is a Scripting engine written with C++. It work with COMPILED SCRIPT linked at Run Time with Host Applications. The SCRIPT COMPILER generate the CPU bytecode requested from the Host CPU where the application (& the scripts) will run.
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Suite of utilities to test and benchmark MySQL JDBC drivers. Placed in the public domain to allow use without fear by proprietary driver developers.
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