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OPPO Kernel Craftsman
OPPO Kernel Craftsman
Aug 9, 2024 · Fundamentals

Linux Kernel Memory Management Locks and Optimization Case Studies

The article examines Linux kernel 6.9 memory-management locks—PG_locked, lru_lock, mmap_lock, anon_vma rwsem, mapping i_mmap_rwsem, and shrinker_rwsem—explaining their roles and presenting eight community-driven optimizations such as per-memcg lru_lock, per-VMA locks, speculative faults, and lock-less shrinker techniques to improve concurrency and performance.

LRU LockLinux kernelMemory Management
0 likes · 24 min read
Linux Kernel Memory Management Locks and Optimization Case Studies
Bilibili Tech
Bilibili Tech
Apr 26, 2024 · Big Data

Fine-Grained Lock Optimization for HDFS NameNode to Improve Metadata Read/Write Performance

To overcome the NameNode write bottleneck caused by a single global read/write lock in Bilibili’s massive HDFS deployment, the team introduced hierarchical fine‑grained locking—splitting the lock into Namespace, BlockPool, and per‑INode levels—which yielded up to three‑fold write throughput gains, a 90 % drop in RPC queue time, and shifted performance limits from lock contention to log synchronization.

Big DataHDFSNameNode
0 likes · 15 min read
Fine-Grained Lock Optimization for HDFS NameNode to Improve Metadata Read/Write Performance
Sanyou's Java Diary
Sanyou's Java Diary
Apr 20, 2023 · Fundamentals

Mastering Java’s synchronized: How It Works, Optimizations & Best Practices

This article explains the Java synchronized keyword, covering its purpose for thread safety, usage on methods and blocks, underlying monitor lock mechanism, JVM bytecode details, lock optimizations such as spin, bias, lightweight and heavyweight locks, and practical examples including singleton implementation and differences from volatile.

ConcurrencyJavaThread Safety
0 likes · 27 min read
Mastering Java’s synchronized: How It Works, Optimizations & Best Practices
Top Architect
Top Architect
Apr 3, 2023 · Backend Development

Lock Optimization and Escape Analysis in the JVM

This article explains how the JVM optimizes locking through spin locks, adaptive spinning, lock elimination, and lock coarsening, and describes escape analysis techniques that enable stack allocation, scalar replacement, and synchronization removal, illustrated with Java code examples and diagrams.

ConcurrencyEscape AnalysisJVM
0 likes · 8 min read
Lock Optimization and Escape Analysis in the JVM
Top Architect
Top Architect
Feb 28, 2023 · Fundamentals

JVM Lock Optimization, Escape Analysis, and Synchronization Elimination

This article explains how the JVM improves concurrency performance through lock optimization techniques such as spin locks, lock elimination, lock coarsening, and escape analysis, illustrating each concept with code examples and discussing related optimizations like stack allocation and scalar replacement.

ConcurrencyEscape AnalysisJVM
0 likes · 9 min read
JVM Lock Optimization, Escape Analysis, and Synchronization Elimination
Wukong Talks Architecture
Wukong Talks Architecture
Dec 28, 2021 · Fundamentals

Understanding Java Biased Locking: Theory, Evolution, and Practical Experiments

This article provides an in‑depth, bottom‑up analysis of Java biased locking, covering its background, lock evolution, detailed mechanisms such as epoch, bulk rebias and revocation, practical JOL experiments, interactions with hashCode and wait, and the recent deprecation in modern JDK releases.

Biased LockingConcurrencyJVM
0 likes · 25 min read
Understanding Java Biased Locking: Theory, Evolution, and Practical Experiments
Tencent Cloud Developer
Tencent Cloud Developer
Mar 11, 2021 · Fundamentals

High-Performance Object Pool Design and Implementation

The article presents a high‑performance, thread‑safe object pool that combines thread‑local freelists, a global pool, and cache‑line‑aligned structures to reuse expensive objects, dynamically expand capacity, and achieve 50‑70% lower allocation latency than standard malloc/free and existing pool implementations.

C++Memory ManagementObject pool
0 likes · 23 min read
High-Performance Object Pool Design and Implementation
Qunar Tech Salon
Qunar Tech Salon
Aug 3, 2016 · Backend Development

Optimizing Write‑Heavy High‑Concurrency Cache: Lock Granularity, Horizontal Sharding, and Lock‑Free Strategies

The article analyzes write‑mostly, read‑light cache scenarios such as driver location updates and counter increments, discusses lock bottlenecks, proposes horizontal sharding and per‑record locking, explores lock‑free approaches with data‑integrity signatures, and summarizes practical optimization techniques for high‑concurrency back‑end systems.

ConcurrencyShardingbackend
0 likes · 8 min read
Optimizing Write‑Heavy High‑Concurrency Cache: Lock Granularity, Horizontal Sharding, and Lock‑Free Strategies