Search Results for "gpu-g"
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Showing 13 open source projects for "gpu-g"
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Cloud SQL manages your databases so you don't have to, so your business can run without disruption. It automates all your backups, replication, patches, encryption, and storage capacity increases to give your applications the reliability, scalability, and security they need.
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As your users rely more and more on Cloud and Internet-based technologies, reliable internet connectivity becomes more and more important to your business. With Bigleaf’s proven SD-WAN architecture, groundbreaking AI, and DDoS attack mitigation, you can finally deliver the reliable internet connectivity your business needs without the limitations of traditional networking platforms. Bigleaf’s Cloud Access Network and plug-and-play router allow for limitless control to and from anywhere your traffic needs to go. Bigleaf’s self-driving AI automatically identifies and adapts to any changing circuit conditions and traffic needs—addressing issues before they impact your users. Bigleaf puts you in the driver’s seat of every complaint and support call with full-path traffic and network performance data, delivered as actionable insights, reports, and alerts.
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NVIDIA Container Toolkit
Build and run Docker containers leveraging NVIDIA GPUs
The NVIDIA Container Toolkit allows users to build and run GPU accelerated Docker containers. The toolkit includes a container runtime library and utilities to automatically configure containers to leverage NVIDIA GPUs. Make sure you have installed the NVIDIA driver and Docker engine for your Linux distribution Note that you do not need to install the CUDA Toolkit on the host system, but the NVIDIA driver needs to be installed. The NVIDIA Container Toolkit supports different container engines... -
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DirectX-Graphics-Samples
Samples that demonstrate how to build graphics intensive applications
This repo contains the DirectX 12 Graphics samples that demonstrate how to build graphics-intensive applications for Windows 10. In the Samples directory, you will find samples that attempt to break off specific features and specific usage scenarios into bite-sized chunks. For example, the ExecuteIndirect sample will show you just enough about execute indirect to get started with that feature without diving too deep into multiengine whereas the nBodyGravity sample will delve into multiengine... -
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DALI
A GPU-accelerated library containing highly optimized building blocks
..., cropping, resizing, and many other augmentations. These data processing pipelines, which are currently executed on the CPU, have become a bottleneck, limiting the performance and scalability of training and inference. DALI addresses the problem of the CPU bottleneck by offloading data preprocessing to the GPU. Additionally, DALI relies on its own execution engine, built to maximize the throughput of the input pipeline. -
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asap
A modern cmake starter project for C++ with a complete build lifecycle
A modern cmake starter project for C++ with a complete build lifecycle, testing, dependency management, etc. Portable across Linux, OS X and Windows. Have you ever found yourself spending countless hours trying to figure out how to start a professional C++ project with unit tests, a robust dev workflow, change logs, code coverage, linting, formatting...? The C++ ecosystem is getting better but is still very far away from other ecosystems such as JavaScript, or even Rust. It's certainly easy... -
Our visitor management system streamlines registration, check-in, and authorization processes, while our facility management tools streamline room booking, resource allocation, and asset management. We prioritize security with our advanced risk mitigation measures, including health and safety protocols, emergency messaging, and robust analytics for thorough auditing.
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SageMaker MXNet Inference Toolkit
Toolkit for allowing inference and serving with MXNet in SageMaker
... Containers provide optimized environments with TensorFlow and MXNet, Nvidia CUDA (for GPU instances), and Intel MKL (for CPU instances) libraries and are available in the Amazon Elastic Container Registry (Amazon ECR). The AWS DLCs are used in Amazon SageMaker as the default vehicles for your SageMaker jobs such as training, inference, transforms etc. They've been tested for machine learning workloads on Amazon EC2, Amazon ECS and Amazon EKS services as well. -
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CBuild
Build system for c++ with scripts written in c++
This is build system designed to build c/c++ code, but It can be retargeted to almost any task. All script are written is c++ and build system support compilation targets and tasks (simple function with some arguments). Also, from the box, CBuild include templates to use in with gcc/g++ or mingw-gcc/mingw-g++ compilers, but with some code can be expanded to support any compiler (supporting other gcc variant requires only changing three variables in build system implementation class). For now... -
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SageMaker TensorFlow Serving Container
A TensorFlow Serving solution for use in SageMaker
... 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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hbcxx
Use "#!/usr/bin/env hbcxx" to make C++ source code executable
hbcxx uses the Unix hashbang (or shebang) #!/path/to/interpreter technique to make C++ source code directly executable. Modern C++, meaning C++11 or even C++14, feels like another language. This is not because the language has been changed massively but because the new features encourage a different, and slightly higher level way to think about writing C++. It's faster, more fun, supports lambdas, has tools to simplify memory management and includes regular expressions in the standard... -
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WESP is a collection of subtle scripts and programs written in several languages (C, /bin/sh, (g)awk, ruby, icon) that breaths a new life into the WEB system for literate programming by Donald Knuth (and CWEB by Knuth/Sylvio Levy).
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Google Cloud’s AI-powered APIs help you translate documents, websites, apps, audio files, videos, and more at scale with best-in-class quality and enterprise-grade control and security.
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Open Linux Developer is a development environment that provides a graphical front-end to the Linux compilers gcc and g++ as well as support for GTK+ development. It includes the basic essentials needed by a Linux programmer.
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osi: Examples for creating software written in C++ that uses GTK+2.0 (Win32 and Linux). Build environment: GNU autotools with g++; MSVC --- boolmin: A Boolean Minimizer for Win32, Linux, UNIX --- emacs: XEmacs extensions designed to work on many machines
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The Frame Processing Language (FPL) is an XML language based on the Frame Technology by Paul G. Bassett as described in his book Framing Software Reuse: lessons from the real world. FPL is implemented in Java using JDOM,Saxon and Jakarta-oro.
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cdd
Lexical, grammatical and syntactic analyzer of C÷÷.
cdd is the lexical, grammatical, and syntactic analyzer of the C÷÷ dialect. The latter is not a programming language, but a set of variations in the C language that cdd analyzes, converts to C code and compiles by calling to g++.
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