
Explore efficient management of large-scale etcd clusters using Tencent's open-source kstone platform. Learn about visualization, automated hazard detection, self-healing, and seamless migration for improved stability and reduced maintenance costs.

基于任务的并行计算和异步网络引擎,支持高并发请求处理。整合通信、计算、IO等异步资源,提供任务流概念实现复杂业务逻辑。跨平台、多协议,具备服务管理和负载均衡能力。

Explore cross-vendor GPU computing with Vulkan and Kompute. Learn to write GPU-accelerated machine learning algorithms using Python and C++, applicable to various GPUs including AMD, Qualcomm, and NVIDIA.

Explore techniques to optimize Scala compilation times, from compiler options and anti-patterns to utilizing multi-core processing with Triplequote Hydra, for faster and more efficient development.

Explore high-throughput data processing with Akka Streams, comparing it to Akka Actors. Learn best practices, optimization techniques, and when to switch to Streams for improved performance in large-scale data transfer systems.

Learn techniques for building high-performance Scala systems efficiently, avoiding common pitfalls and optimizing performance without sacrificing code quality or maintainability.

Discover how Optimus Cirrus platform revolutionizes code compilation, reducing build times from hours to seconds through advanced caching and parallelization techniques, enhancing developer productivity at Morgan Stanley.

Explore the internals of a high-performance key/value store in Go, learning basic design principles and techniques for efficient data storage and retrieval.

Explore building scalable applications using Go and SQLite, focusing on recent advancements, configuration tips, and strategies for improving data durability and performance.

Learn to leverage modern APIs like Web Workers, WebAssembly, and Service Workers for parallel computing in React, enhancing performance and user experience in complex applications.

Explore high-performance JSON protocols with Daniel Austin, covering motivation, design decisions, and future possibilities for faster data transmission and processing.

Explore parallel computing in JavaScript with River Trail, unlocking new possibilities for high-performance web applications and efficient data processing.

Explore GPU-accelerated JavaScript programming techniques for enhanced performance and efficiency in web applications.

Explore JavaScript's future with Brendan Eich as he discusses ES6, ES7, Object.observe, asm.js, value objects, operator overloading, SIMD, and threads in this insightful talk.

Explore OneJS, a JS superset with shader GLSL and reactive programming syntax, enabling GPU-powered UI design for enhanced performance and creative possibilities beyond traditional web technologies.

Explore GPU parallel processing with WebGL beyond graphics, including data handling, JavaScript integration, and potential challenges in leveraging GPU power for diverse computations.

GPU-accelerated JavaScript: Harness browser's GPU power for parallel computing. Learn about GPU.JS, its development story, API usage, and real-world applications like matrix multiplication and ray tracing.

Explore a prototype for a high-performance, type-safe distributed actor system in Rust, enabling complex and extensible distributed systems development with idiomatic code and efficient message handling.

Explore the Orleans Framework for building scalable cloud systems, focusing on virtual actors, stateful middle tiers, and its origins in Microsoft Research and game development.

Discover Akka.NET: Scale C# applications across multiple cores and machines in the cloud. Learn to write efficient, concurrent systems using actor-based programming for distributed computing.

Explore high-performance process workflows using Akka Streams. Learn to define, integrate, and compose workflows at a higher level, replacing traditional actors with streamlined graph-based definitions in C#, F#, and Scala.