runtime optimization

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 ODLembedding storelarge-scale sparse models

0 likes · 19 min read

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

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.

AndroidDex2oatMobile Development

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 InfrastructureDeepRecdistributed training

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