Advanced Database Systems - Spring 2019
Comprehensive exploration of advanced database systems, covering in-memory databases, concurrency control, indexing, storage models, query processing, and optimization techniques for modern DBMS architectures.
CUDA Crash Course
Comprehensive introduction to CUDA programming, covering vector operations, matrix multiplication, memory optimization, and performance tuning for GPU-accelerated computing.
Playing With Fire - Pyro SOP Solver, Houdini Tutorial
Learn top tips for Houdini 18's Pyro SOP solver, covering setup, simulation, shaping, and rendering techniques for creating realistic fire effects in 3D VFX.
High Performance Computing
Comprehensive exploration of advanced parallel computing techniques, covering MPI, OpenMP, GPU acceleration, and applications in scientific domains. Includes hands-on exercises for practical skill development.
Stanford Seminar - Algorithmic Extremism- Examining YouTube's Rabbit Hole of Radicalization
Examination of YouTube's recommendation algorithm, challenging claims of far-right radicalization. Data analysis reveals a preference for mainstream media over fringe content, with implications for online political discourse.
Stanford Seminar - Accelerating ML Recommendation with Over a Thousand RISC-V-Tensor Processors
Explore Esperanto's innovative 7nm chip with 1000+ RISC-V processors, designed for efficient ML recommendation. Learn about its architecture, performance, and energy-saving features.
Stanford Seminar - Dataflow for Convergence of AI and HPC - GroqChip
Explore dataflow history, AI-HPC convergence, and Groq's tensor streaming processor architecture. Learn about stream programming, deterministic execution, and distributed scale-out systems for efficient deep learning computations.
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.
NVIDIA GPU Computing - A Journey from PC Gaming to Deep Learning
Explore NVIDIA GPU's evolution from gaming to deep learning, covering key architectures and applications in supercomputing, data centers, and autonomous vehicles.
Advanced Database Systems - Spring 2018
Explore advanced database systems, covering in-memory databases, query optimization, concurrency control, indexing, storage models, logging, and parallel execution techniques for high-performance data management.
Pushing Java to the Limits: Processing a Billion Rows in Under 2 Seconds
Dive into an in-depth conference talk exploring how to optimize Java performance for processing massive datasets. Learn about the journey from a 4-minute reference implementation to parsing one billion rows of weather data in under two seconds. Discover…
Advancements in Peridynamics.jl for Dynamic Fracture Simulations
Explore the latest advancements in Peridynamics.jl for dynamic fracture simulations in this 25-minute conference talk presented at JuliaCon 2024. Dive into the nonlocal continuum formulation of Peridynamics, which uses integro-differential equations to m…
Synthetic Data Generation and Fine-tuning for OpenAI GPT-4 or Llama 3
Dive into an extensive tutorial on synthetic data generation and fine-tuning techniques for large language models like OpenAI GPT-4o and Llama 3. Learn how to create synthetic questions and answers, implement chain of thought reasoning, and augment data…
Running Open Large Language Models in Production with Ollama and Serverless GPUs
Explore the deployment of open large language models in production environments using Ollama and serverless GPUs. Learn why companies are increasingly interested in running open models like Gemma and Llama, which offer full control over deployment, model…
One Billion Row Challenge: Optimizing Java for Massive Data Processing
Explore efficient techniques for processing massive CSV files in Java, including parallelization, optimized parsing, and custom data structures. Learn from the One Billion Row Challenge.
Sustainable Development of Stencil-based HPC Applications - JuliaCon 2024
Explore sustainable HPC application development using Julia packages for stencil-based computations, achieving scalable performance and portability across diverse hardware architectures.
NeuroTree - A Differentiable Tree Operator for Tabular Data
Explore NeuroTree, a differentiable tree operator for tabular data, addressing traditional tree limitations through simultaneous node learning and built-in ensemble techniques.
Training Llama 2 in Julia - Scaling Large Language Models
Explore scaling techniques for training large neural networks like Llama2 using Julia, including multi-GPU parallelization and fine-tuning methods for efficient model adaptation.
Data Versioning in Generative AI: A Pathway to Cost-Effective ML
Explore data versioning strategies for Generative AI, focusing on managing large-scale unstructured data and optimizing resource usage in model scoring and API interactions.
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.
Supercharging Recommender Systems - Unleashing the Power of Distributed Model Training
Explore distributed model training techniques to enhance recommender systems, boosting performance and scalability for production environments.