Papershelf
I read a few papers every week around various topics that interests me and here are some of them that I found amusing categorized by topics.
Here's the process I follow to read, understand, and remember a paper.
Backend System Design
- Amazon MemoryDB: A fast and durable memory-first cloud database
- Anycast as a Load Balancing feature
- Amazon DynamoDB A Scalable, Predictably Performant, and Fully Managed NoSQL Database Service
- Dynamo Amazon’s Highly Available Key-value Store
- The Google File System
- Zanzibar - Google's Consistent, Global Authorization System
- Gorilla - A Fast, Scalable, In Memory Time Series Database
- Kademlia - a Peer-to-peer Information System based on XOR Metric
- Bitcoin - A Peer-to-Peer Electronic Cash System
- The Anatomy of a Large-Scale Hypertextual Web Search Engine
- WTF: The Who to Follow Service at Twitter
Database Engineering
- Take Out the TraChe: Maximizing (Tra)nsactional Ca(che) Hit Rate
- Distributed Transactions at Scale in Amazon DynamoDB
- TiDB: A Raft-based HTAP Database
- PolarDB-SCC: A Cloud-Native Database
- Epoxy: ACID Transactions Across Diverse Data Stores
- Scalable OLTP in the Cloud: What’s the BIG DEAL?
- BonsaiKV: Key-Value Store with Tiered and Heterogeneous Memory System
- Designing Access Methods: The RUM Conjecture
- Vector Database: Storage and Retrieval Technique, Challenge
- ZIP: Lazy Imputation during Query Processing
- TreeLine - An Update-In-Place Key-Value Store for Modern Storage
- A Relational Model of Data for Large Shared Data Banks
- MyRocks: LSM-Tree Database Storage Engine Serving Facebook's Social Graph
ML and AI
- Automated Unit Test Improvement using Large Language Models at Meta
- Panda: Performance Debugging for Databases using LLM Agents
- Manu: A Cloud Native Vector Database Management System
- Faster sorting algorithms discovered using deep reinforcement learning
- Improving Language Understanding by Generative Pre-Training
- Language Models are Few-Shot Learners
- Attention Is All You Need
- Neural Machine Translation of Rare Words with Subword Units