Big Data Computing
Comprehensive exploration of big data technologies, covering Hadoop, Spark, key-value stores, streaming analytics, machine learning, and graph processing for large-scale data analysis and insights.
Algorithms for Big Data
Explore advanced algorithmic techniques for handling massive datasets, enhancing your ability to process and analyze big data efficiently.
Cloud Computing
This course will introduce various aspects of cloud computing, including fundamentals, management issues, security challenges and future research trends. This will help students (both UG and PG levels) and researchers to use and explore the cloud computi…
Hadoop Tutorial for Beginners - Big Data Hadoop Tutorial
IT mavens like Google, Amazon and IBM as well as growing start-ups are always in search of Big Data experts. So we have come up with a tutorial on Apache Hadoop to help you get started on your Data Analytics path!
Hive Tutorial - Hive Architecture - Hadoop for Beginners - Big Data for Beginners
Comprehensive tutorial on Apache Hive, covering its architecture, SQL-like querying, and integration with Hadoop for efficient big data processing and analysis.
Tiny Functions for Codecs, Compilation, and - Maybe - Soon Everything
Exploring the potential of tiny, pure functions in improving network systems, video codecs, and cloud computing, with real-world examples and future applications.
Stanford Seminar - The Time-Less Datacenter
Novel event-based protocol for datacenter communication eliminates conventional heartbeats and timeouts, enabling efficient recovery for distributed algorithms at scale and composing into graph-based distributed communications.
Stanford Seminar - PyWren - Pushing Microservices to Teraflops
Explore PyWren, a distributed execution engine simplifying cloud computing for scientists and engineers. Learn about its applications in data science and computational imaging.
Deborah Gordon on Ant Colonies as Distributed Computers
Exploring ant colonies as dynamic, adaptive systems and their lessons for human society, technology, and problem-solving in uncertain environments.
Programming the Internet - C4 Public Lecture
Explore the evolution of programming for internet-scale applications, addressing challenges in distributed computing, concurrency, and scalability through innovative methodologies and infrastructure changes.
Advanced Data Mining with Weka
Explore advanced data mining techniques using Weka, covering time series forecasting, incremental learning, integration with R and Python, and distributed processing for big data analysis.
The Daft Distributed Python Data Engine: Multimodal Data Curation at Any Scale
Explore the Daft distributed Python data engine for multimodal data curation at any scale in this 27-minute talk by Jay Chia. Discover how Daft addresses the fundamental needs of ML/AI data platforms, including terabyte-scale ETL with complex model batch…
Optimized AI Workloads on Anyscale with RayTurbo
Discover how Ray optimizes AI workloads across diverse computing environments in this 40-minute conference talk. Explore Ray's evolution from a 2016 research project to a widely adopted framework used by leading AI organizations. Learn about Anyscale's A…
Efficient, Composable Solver for Non-Equilibrium Flows - JuliaCon 2024
Explore an adaptive mesh refinement solver for non-equilibrium flows, balancing efficiency and accuracy in complex fluid dynamics simulations using Julia's powerful ecosystem.
The AI Captain: A Study of Machine Learning at the Edge
Explore the Mayflower project's AI breakthroughs and edge computing applications in maritime technology. Gain insights into cutting-edge AI implementation for autonomous navigation.
PANAMA: In-Network Aggregation for Shared Machine Learning Clusters
Explore PANAMA, a novel in-network aggregation framework for distributed ML training, enhancing performance and resource sharing in shared clusters.
Training LLMs: Lessons from the Trenches
Discover key insights and challenges in training large language models across hundreds of GPUs, from data handling to resource management.
Unlock the Power of MLFlow with Multi-Cloud Compute Infrastructure
Harness MLFlow's potential using multi-cloud compute infrastructure. Learn integration techniques, architectural considerations, and scaling strategies for effective ML training and deployment across clouds.
Exo: Run Your Own AI Cluster at Home
Créez un cluster IA domestique avec exo, unifiant la puissance de calcul de vos appareils pour exécuter des modèles sophistiqués sans matériel coûteux.
Parallelizing Your ETL with Dask on Kubeflow
Leverage Dask's parallelism capabilities on Kubeflow for advanced ETL processing. Learn to use the Dask Operator to optimize resource utilization in interactive Jupyter sessions and pipeline workflows.
Shopify's Machine Learning Platform Journey: Building Merlin with Open Source Tools
Explore Shopify's journey in building Merlin, an open-source ML platform. Gain insights into the architecture, technologies, and tools used to scale machine learning work effectively.