
Explores rethinking parallel programming, advocating for language-level solutions and algorithms based on independence rather than linear problem decomposition.

Explore Dao, a lightweight programming language with optional typing, expressive features, and simplified concurrent programming. Learn about its virtual machine, JIT compiler, and C/C++ binding generator.

Explore GPU programming with modern C++, covering parallelism fundamentals, heterogeneous computing, and SYCL for GPU dispatch. Learn to optimize performance and leverage multi-core architectures effectively.

Go 1.5's new low-latency concurrent garbage collector: solving performance issues, reducing pauses, and enabling Go's growth in critical applications.

Discover Go's unique features and advantages over Java/.Net, including concurrency primitives, code vendoring, and simplified reflection, while addressing common concerns like lack of generics.

Explore OpenMP for efficient shared memory parallelism in C++, C, and FORTRAN. Learn its versatile applications beyond high-performance computing, from graphics to finance and data analysis.

Explore Behavioral Programming: a novel paradigm for creating verifiable, modular systems. Learn about b-threads, event-based communication, and formal verification in software development.

Explore common pitfalls and best practices in Java concurrent programming, focusing on 7 deadly sins observed in high-stakes fintech applications over a decade of experience.

Explore parallel streams and CompletableFuture for efficient Java programming. Learn when to use, avoid, and optimize these tools for parallel and asynchronous tasks in real-world scenarios.

Explore event-driven architecture's benefits in modern systems, including autonomy, scalability, and resilience. Learn design principles and practical techniques for leveraging events effectively.

Explore the Actor Model's relevance in modern software development, its synergy with Domain-Driven Design, and its role in addressing concurrency challenges and business domain modeling.

Explore asynchronous programming evolution in Java, focusing on CompletableFuture API for reactive approaches and improved multithreading performance.

Explore the evolution of asynchronous programming for high-performance web applications, from network transports to processor utilization, addressing scalability challenges and low-latency solutions.

Explore Go performance optimization techniques, including benchmarking, profiling, and concurrency. Learn to use tools like Pprof, Trace, and Race detector to identify bottlenecks and improve code efficiency.

Esplora lo sviluppo di una soluzione mobile con backend Erlang utilizzando l'architettura CQRS/ES, sfruttando i vantaggi dell'Actor Model e dei processi distribuiti nell'ecosistema Erlang.

Explore Java 9's performance enhancements in language, libraries, and JVM. Learn about improvements, potential regressions, and decide if upgrading is worthwhile for your projects.

Explore asynchronous programming in Java with CompletableFuture, covering concepts, examples, and enhancements in Java 9 for efficient and safe concurrent programming.

Explore Kotlin coroutines for efficient asynchronous programming. Learn syntax, implementation, and practical applications in Spring-based projects. Compare with reactive approaches.

Explore parallel streams and CompletableFuture for efficient Java 8 programming. Learn implementation, best practices, pitfalls, and optimal use cases for enhanced performance and concurrency.

Explore Akka for scalable software: actors, concurrency, and fault tolerance. Learn core concepts, Java 7 features, and practical implementation for robust, distributed systems.

Explore Aeron's evolution as a fast, predictable transport protocol. Learn its design principles, architecture, and innovative approaches to messaging, flow control, and resource management.