The Execution Structure of Object-Oriented Programs: Ownership Object Graph Case Studies by Marwan Abi-Antoun and Jonathan Aldrich Summary "An object-oriented program's run-time structure often bears ...

High line coverage suggests greater confidence in code robustness, although it doesn’t guarantee detecting all potential errors. This work combines program graph generation with line coverage to offer ...

Existing state-of-the-art CPU graph frameworks take advantage of multiple cores, but not the SIMD capability within each core. In this work, we retarget an existing GPU graph algorithm compiler to ...

A new product will establish the graph-based industry standard for secure, orchestrated access to APIs in the age of AI… so says Apollo GraphQL, a graph-based API orchestration company. The ...

We present a library of generic software components for parallel and distributed computations on graphs, based on the Boost Graph Library (BGL). The BGL consists of a rich set of generic graph ...

Abhishek Das headed an ML infrastructure innovating project at Salesforce, working on a graph execution service for ML pipeline processing in multiple customer-facing features. This was an amazing ...

Hello, I'm currently trying to run TensorFlow on a Windows computer using the tensorflow-directml-plugin as discussed in this guide. My computer is equipped with an NVIDIA Quadro K1200 GPU, which ...