Its goal is to develop a structured approach to automated code generation for deep learning computations on parallel processor architectures ... particularly through integration with established ...

Key Takeaways Scala is an excellent option for big data, particularly when complemented with Apache Spark, due to its ...

Java, which first blinked into existence in 1995, is 30 years old this week and continues to be a stalwart in modern ...

Abstract: A software framework for the parallel execution of sequential ... the underlying harness and to design the programming interfaces. The hardware-independent harness promises a composable ...

Abstract: Peachy Parallel Assignments are a resource for instructors teaching parallel and distributed programming. These are high-quality assignments, previously tested in class, that are readily ...

Dapr is a set of integrated APIs with built-in best practices and patterns to build distributed applications ... stateful and actor-like services following the same programming paradigm. You can ...

“Julia also supports linear algebra operations and deep learning with libraries like Flux.jl, as well as parallel computation ... “Scala combines functional and object-oriented programming paradigms.” ...

Developer educator and .NET MVP Jeremy Clark talks concurrent programming ahead of an intermediate-level two-day training ...

OpenTelemetry has made it possible to manage telemetry data, something that was never possible before. At the core of ...

OpenAI , the company behind the phenomenal automated chatbot ChatGPT, launched its next-generation coding agent, Codex , on May 16, 2025. Designed to streamline several fundamental aspects of software ...

In particular, the book provides an in-depth description of the properties and mechanisms of the main programming paradigms for big data analysis, including MapReduce, workflow, BSP, message passing, ...