Mrinal Kshirsagar

DLRM stands for Deep Learning Recommendation Model. It is a neural network architecture developed by Facebook AI (Meta) for large-scale personalized recommendation systems. DLRM is widely used in real-world applications where personalized recommendations or ranking predictions are needed. DLRM designed for click-through rate (CTR) prediction and ranking task. Examples: Online Advertising, E-commerce Recommendations, Social Media Feed Ranking, Streaming Services, Online Marketplace and...

Overview MySQL is an open-source relational database management system (RDBMS) that stores and organizes data using tables, rows, and columns, and allows you to query and manage that data using SQL (Structured Query Language). MySQL Database Server is fast, reliable, scalable, and easy to use. It continues to rank highly in popularity among databases, according to DB-engines. SysBench is a multi-threaded benchmark tool. The tool can create a simple database schema, populate database tables...

Automation is essential for performance benchmarking because it ensures that results are reliable, repeatable, scalable, and comparable. Various open source benchmarking tools are used for Automation. Tools are essential for benchmarking because they bring standardization, accuracy, efficiency, and repeatability to performance evaluation. Open-Source Benchmarking Tools that support ad-hoc extensibility, meaning they can be customized or extended without rebuilding or heavily modifying the...