Stream processing

Applied sciences
Computer engineering
High-performance computing
Parallel computing

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GPUs: Architecture and Programming

Explores GPU architecture, multithreading, SIMD processors, and CUDA programming for parallel computing.

GPU Memory Hierarchy: Optimization

Explores GPU memory hierarchy, CUDA processing flow, optimizations, and parallelism efficiency on GPUs.

Heat Recovery in Industrial Processes

Explores the definition of hot and cold streams in industrial processes, optimizing heat transfer for energy efficiency.

Data Integration & Cleaning: Expert Matching & Entity Recognition

Covers data integration, expert matching, entity recognition, performance, scalability, stream data management, tensor decomposition, and concept drift detection.

Multi-threaded Processors

Covers the basics of multi-threaded processors, including design, performance impact, and pipeline utilization.

Data Wrangling with Hadoop: Storage Formats and Hive

Explores data wrangling with Hadoop, emphasizing storage formats and Hive for big data processing.

Introduction to Spark Runtime Architecture

Covers the Spark runtime architecture, including RDDs, transformations, actions, and caching for performance optimization.

Collaborative Data Science

Covers collaborative data science tools, big data concepts, Spark, and data stream processing, with tips for the final project.

Spark Storage Layer

Explores the Spark ecosystem, Resilient Distributed Datasets, and the storage layer abstraction in Spark.

Data Issues in Research

Explores challenges in data assumptions, biases, and more in research, including incomplete write-ups and frustrations of newcomers.