Tagged articles

Runtime Optimization

11 articles · Page 1 of 1

Aug 21, 2026 · Artificial Intelligence

Best Practices for Developing AI Skills: A Case Study of the Baibu Detail Assistant

This article analyzes the end‑to‑end development of an AI Skill for the Baibu detail assistant, covering industry best practices, architecture with a bridge decoupling local and remote components, workflow design patterns, development efficiency tricks, and runtime optimizations that together illustrate how to build maintainable, high‑performance Skills.

AI Skill DevelopmentAgent ArchitectureControl Tuning

0 likes · 21 min read

Best Practices for Developing AI Skills: A Case Study of the Baibu Detail Assistant

Open Source Tech Hub

Jun 21, 2026 · Fundamentals

Can Swoole’s TypePHP Revive PHP? Exploring the PHP‑Subset AOT Approach

The article examines why PHP’s evolution is stalled by its C‑based core, reviews the earlier Zephir solution from the Phalcon team, and analyzes Swoole’s TypePHP project, which compiles a PHP subset to native binaries via AOT, highlighting its performance gains, trade‑offs, and potential to rejuvenate the language.

AOT CompilationPHPRuntime Optimization

0 likes · 7 min read

Can Swoole’s TypePHP Revive PHP? Exploring the PHP‑Subset AOT Approach

Alibaba Cloud Big Data AI Platform

Sep 16, 2024 · Artificial Intelligence

How TAG Makes LLM Inference Fully Asynchronous for Higher Throughput

With the growing complexity of LLM architectures like GQA, MLA, and MoE, runtime overhead has become a bottleneck; this article analyzes Python performance, communication costs, and synchronous execution in current inference frameworks, introduces the fully asynchronous TAG architecture, and demonstrates its superior throughput and latency through benchmarks.

GPU utilizationLLM inferenceRuntime Optimization

0 likes · 12 min read

How TAG Makes LLM Inference Fully Asynchronous for Higher Throughput

DataFunSummit

Jul 25, 2023 · Artificial Intelligence

Real‑Time Deep Learning Training with PAI‑ODL: Architecture, Pipeline, and Key Technologies

This article introduces PAI‑ODL, a real‑time deep‑learning training platform that supports online model updates for search, advertising, and recommendation scenarios, detailing its pipeline modules, system architecture, large‑scale sparse model techniques, incremental model export, embedding store design, and performance optimizations that together enable low‑latency, high‑throughput serving.

PAI ODLReal-time TrainingRuntime Optimization

0 likes · 19 min read

Real‑Time Deep Learning Training with PAI‑ODL: Architecture, Pipeline, and Key Technologies

Bilibili Tech

Nov 29, 2022 · Big Data

How Bilibili Supercharged Flink: Checkpoint, HA, and Runtime Optimizations

This article details Bilibili's extensive enhancements to Flink's runtime—including checkpoint recoverability, operator ID stability, state processor extensions, hybrid high‑availability, regional checkpointing, and load‑based channel selection—to improve scalability, reliability, and operational efficiency of large‑scale streaming jobs.

CheckpointFlinkRuntime Optimization

0 likes · 32 min read

How Bilibili Supercharged Flink: Checkpoint, HA, and Runtime Optimizations

Coolpad Technology Team

Apr 23, 2022 · Mobile Development

Understanding Dex2oat: Principles, Trigger Conditions, and Custom Optimization Strategies

This article explains the Dex2oat compilation process in Android, its various compiler filters, how to query and trigger optimizations in different scenarios such as boot, install, and idle, and presents custom strategies to improve performance while minimizing impact on user experience.

AndroidRuntime Optimizationcompiler filters

0 likes · 15 min read

Understanding Dex2oat: Principles, Trigger Conditions, and Custom Optimization Strategies

DataFunTalk

Apr 17, 2022 · Artificial Intelligence

DeepRec: Alibaba’s Sparse Model Training Engine – Architecture, Features, and Open‑Source Status

DeepRec, developed since 2016 by Alibaba, is a specialized sparse‑model training engine that addresses feature elasticity, training performance, and deployment challenges through dynamic elastic features, optimized runtimes, distributed training frameworks, incremental model export, and multi‑level storage, and is now being open‑sourced for broader industry collaboration.

AI infrastructureDeepRecRuntime Optimization

0 likes · 15 min read

DeepRec: Alibaba’s Sparse Model Training Engine – Architecture, Features, and Open‑Source Status

TikTok Frontend Technology Team

Oct 15, 2021 · Frontend Development

React Runtime Optimization: From React 15 to 18 – Architecture, Scheduling, and New Features

This article provides a comprehensive overview of React's runtime optimization strategies across versions 15 to 18, explaining the evolution of its architecture, the introduction of Fiber, concurrent rendering, scheduling, priority lanes, and new APIs such as Suspense, startTransition, and useDeferredValue, while including detailed code excerpts and practical insights for developers.

Concurrent ModeFiberHooks

0 likes · 35 min read

React Runtime Optimization: From React 15 to 18 – Architecture, Scheduling, and New Features

ByteFE

Sep 22, 2021 · Frontend Development

How React’s Runtime Optimizations Evolved from 15 to 18 – A Deep Technical Dive

This article walks through the evolution of React’s runtime architecture from version 15 to 18, explaining key concepts such as Fiber, Scheduler, priority lanes, concurrent mode, and new APIs like startTransition and useDeferredValue, while providing concrete code examples and visual diagrams.

Concurrent ModeFiberReAct

0 likes · 36 min read

How React’s Runtime Optimizations Evolved from 15 to 18 – A Deep Technical Dive

Node Underground

Sep 13, 2019 · Backend Development

Deep Dive into Node.js Runtime: Optimization, V8 Tweaks, and Serverless Insights

This article recaps a hardcore Node.js underground salon where experts explored runtime optimization, V8 engine enhancements, Alinode monitoring, fork(2) performance tricks, and core startup processes, highlighting practical insights for Serverless, IoT, and high‑performance backend development.

Node.jsPerformanceRuntime Optimization

0 likes · 5 min read

Deep Dive into Node.js Runtime: Optimization, V8 Tweaks, and Serverless Insights

Big Data Technology & Architecture

Aug 5, 2019 · Big Data

Apache Spark Latest Technological Developments and Outlook for Spark 3.0+

The article provides a comprehensive overview of recent Apache Spark advancements—including Delta Lake, Data Source V2, runtime optimizations, relational cache, cloud‑native challenges, AI integration via Project Hydrogen, and the anticipated features of Spark 3.0—highlighting how these innovations address modern data‑warehouse, cloud, and machine‑learning workloads.

Apache SparkDelta LakeRuntime Optimization

0 likes · 17 min read

Apache Spark Latest Technological Developments and Outlook for Spark 3.0+