Search Results for "high performance computing"

This is the dotnet/core repository and is a good starting point for .NET Core, an open source general-purpose development framework for building cross-platform apps. .NET Core lets you create apps for Windows, macOS or Linux, as well as ARM64 processors using various programming languages. It provides frameworks and APIs for cloud, client UI, IoT, and machine learning. The latest major release (as of this writing) is .NET Core 3.1. You must be on the latest patch release in order to get...

The Web Tracing Framework (WTF) is an open source suite of tools, libraries, and visualizers created by Google to help developers analyze and optimize the performance of complex web applications. By adding lightweight instrumentation to their code, developers can trace execution flow, identify bottlenecks, and detect performance regressions. The framework provides fine-grained insights into application behavior, making it particularly useful for achieving smooth, high-performance experiences, such as maintaining 60fps animations in web interfaces. ...

RefineNet is a MATLAB-based framework for semantic image segmentation and general dense prediction tasks. It implements the architecture presented in the CVPR 2017 paper RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation and its extended version published in TPAMI 2019. The framework uses multi-path refinement and improved residual pooling to achieve high-quality segmentation results across multiple benchmark datasets. It provides trained models for datasets such as PASCAL VOC 2012, Cityscapes, NYUDv2, Person_Parts, PASCAL_Context, SUNRGBD, and ADE20k, with versions based on ResNet-101 and ResNet-152 backbones. ...

...You can bring your creations to scale using the power of GPUs in the cloud or to the masses on mobile with Caffe2’s cross-platform libraries. Modularity and being designed for both scale and mobile deployments are the high-level answers to the first question. In many ways Caffe2 is an un-framework because it is so flexible and modular. The original Caffe framework was useful for large-scale product use cases, especially with its unparalleled performance and well tested C++ codebase. Caffe has some design choices that are inherited from its original use case: conventional CNN applications.

Tools, information, and practices for creating and operating dependable, complex, distributed, software-intensive systems. * Sense - Measure - Analyze - Respond - Optimize * Keywords: Performance Co-Pilot - PCP - PCPMon - Rjobd