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Writing on GPUs, LLMs, MLOps, Kubernetes — and mindset · 3517 posts
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[OS Concepts] 14. File-System Implementation
Covers file system structure, on-disk/in-memory structures, VFS, directory implementation, allocation methods, free space management, and journaling.
2026-03-19 · 11 min read #operating-system#cs-fundamentals[OS Concepts] 11. Mass-Storage Structure
Covers HDD structure and disk scheduling (SCAN, C-SCAN), NVM (SSD) devices, RAID levels (0-6), object storage, and cloud storage.
2026-03-19 · 10 min read #operating-system#cs-fundamentals[OS Concepts] 08. Deadlocks: Prevention, Avoidance, Detection, Recovery
Covers deadlock characteristics (4 conditions, resource allocation graph), deadlock prevention, deadlock avoidance (safe state, banker's algorithm), and deadlock detection and recovery.
2026-03-19 · 10 min read #operating-system#cs-fundamentals[OS Concepts] 05. CPU Scheduling Algorithms
Covers CPU scheduling concepts (CPU burst, preemptive/non-preemptive), scheduling criteria, algorithms (FCFS, SJF, priority, round robin, multilevel queue/feedback queue), thread scheduling, multiprocessor scheduling, an
2026-03-19 · 8 min read #operating-system#cs-fundamentals[OS Concepts] 02. Operating System Structures and Services
Covers OS services (UI, program execution, I/O, file system, communication, protection), system call types and APIs, OS structures (monolithic, layered, microkernel, hybrid), and the system boot process.
2026-03-19 · 7 min read #operating-system#cs-fundamentals[OS Concepts] 19. Networks and Distributed Systems
Covers network types, TCP/IP model, advantages and challenges of distributed systems, distributed file systems (NFS, GFS, HDFS), MapReduce, and distributed coordination.
2026-03-19 · 10 min read #operating-system#cs-fundamentals[OS Concepts] 16. Security: Threats and Defenses
Covers security threat overview, program threats (malware, code injection, buffer overflow), system/network threats, cryptography, authentication, and security defenses.
2026-03-19 · 9 min read #operating-system#cs-fundamentals[OS Concepts] 13. File-System Interface
Covers file concepts (attributes, operations), access methods (sequential, direct), directory structures, file sharing, and protection (ACL, permissions).
2026-03-19 · 9 min read #operating-system#cs-fundamentals[OS Concepts] 10. Virtual Memory: From Demand Paging to Thrashing
Covers virtual memory concepts, demand paging (page faults, performance), copy-on-write, page replacement algorithms (FIFO, optimal, LRU, clock), frame allocation, thrashing (working set model), and memory-mapped files.
2026-03-19 · 12 min read #operating-system#cs-fundamentals[OS Concepts] 07. Synchronization Problems: Producer-Consumer, Dining Philosophers
Covers classic synchronization problems (bounded buffer, readers-writers, dining philosophers), POSIX synchronization (mutex, semaphore, condition variables), Java synchronization, and alternative approaches.
2026-03-19 · 22 min read #operating-system#cs-fundamentals[OS Concepts] 04. Threads and Concurrent Programming
Covers thread concepts and motivation, multicore programming (Amdahl's Law), multithreading models, thread libraries (Pthreads, Java), and implicit threading (thread pools, fork-join, OpenMP).
2026-03-19 · 9 min read #operating-system#cs-fundamentals[OS Concepts] 01. What is an Operating System
Covers the definition and role of an operating system, computer system organization (interrupts, storage hierarchy, I/O), system architecture (multiprocessor, multicore, NUMA), OS operation modes (dual-mode, timer), and
2026-03-19 · 7 min read #operating-system#cs-fundamentals[Deep RL] 20. Deep RL Summary: Algorithm Comparison and Selection Guide
Systematic comparison and selection criteria for deep RL algorithms: value-based, policy-based, Actor-Critic, and model-based approaches
2026-03-19 · 9 min read #reinforcement-learning#deep-learning#ai[Deep RL] 17. Model-Based Reinforcement Learning: Imagination-Augmented Agent
Principles of model-based RL and I2A (Imagination-Augmented Agent): learning environment models and planning through imagination
2026-03-19 · 8 min read #reinforcement-learning#deep-learning#ai[Deep RL] 14. Continuous Action Spaces: DDPG and Distributional Policies
Methods for handling continuous action spaces: A2C extension, DDPG deterministic policy gradient, and distributional policy gradient
2026-03-19 · 7 min read #reinforcement-learning#deep-learning#ai[Deep RL] 11. A3C: Asynchronous Advantage Actor-Critic
How A3C solves the correlation problem of A2C through asynchronous parallel learning: data parallelism and gradient parallelism implementation
2026-03-19 · 7 min read #reinforcement-learning#deep-learning#ai[Deep RL] 08. Building a Stock Trading Agent with Reinforcement Learning
Define stock trading as a reinforcement learning problem, design a custom trading environment, and train trading agents using feedforward and CNN models.
2026-03-19 · 19 min read #reinforcement-learning#deep-learning#ai#finance[Deep RL] 05. Bellman Equation and Value Iteration
Understand the concepts of state value and action value, and apply value iteration and Q-learning to FrozenLake based on the Bellman optimality equation.
2026-03-19 · 9 min read #reinforcement-learning#deep-learning#ai[Deep RL] 02. Getting Started with Reinforcement Learning Using OpenAI Gym
Understand the structure and API of OpenAI Gym, and practice with random agents and wrappers in the CartPole environment.
2026-03-19 · 10 min read #reinforcement-learning#deep-learning#ai[Deep RL] 18. AlphaGo Zero: AI That Learns by Playing Itself
Core principles of AlphaGo Zero: MCTS and self-play, plus implementing a Connect4 bot
2026-03-19 · 9 min read #reinforcement-learning#deep-learning#ai