Accelerating AI/ML: Specialization and Efficiency

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Related lectures (32)

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Covers data wrangling techniques using Hadoop, focusing on row versus column-oriented databases, popular storage formats, and HBase-Hive integration.

Data, big data, clouds and IoT

Explores data representation, databases, cloud computing, and challenges in the cloud environment.

Hydrology Modeling: Routing System

Covers the modeling of hydrological systems, focusing on the retention of floods and the example of the Routing System.

Data Wrangling with Hive: Managing Big Data Efficiently

Covers data wrangling techniques using Apache Hive for efficient big data management.

Real-time Intelligence: Data Challenges and Hardware Evolution

Explores data challenges and hardware evolution for real-time intelligence in the era of big data.

Introduction to Database Systems

Covers the fundamentals of database systems, including data modeling, information processing, and the challenges of managing large volumes of data.

Introduction to Database Systems

Covers the basics of database systems, including data modeling, DBMS, data independence, and the course overview.

Modeling Hydrological Systems: Routing and Flood Retention

Discusses modeling hydrological systems, focusing on routing and flood retention using a new database.

Fast Interconnects: Scalable Co-processing with GPUs

Explores the use of fast interconnects for scalable co-processing with GPUs in databases, emphasizing the importance of overcoming the transfer bottleneck and reevaluating assumptions for performance improvements.

Efficient GPU Join Optimization

Covers efficient GPU-accelerated join optimization for complex queries, focusing on improving optimization times and heuristic plan quality.