Scalable Parallel Computing Lab, SPCL @ ETH Zurich Courses

AI-Driven Performance Metaprogramming - Embedding Spaces for Program Analysis and Optimization

Explore AI-driven performance metaprogramming using embedding spaces for programs. Learn to assess, analyze, and improve program performance through advanced AI methods.

• YouTube
• 45 minutes
• Self-Paced
• Free Video

HammingMesh: A Network Topology for Large-Scale Deep Learning

Explore a novel network topology for large-scale deep learning systems, enhancing data movement efficiency and job scheduling flexibility for future AI training infrastructure.

• YouTube
• 34 minutes
• Self-Paced
• Free Video

The Graph Database Interface: Scaling Online Transactional and Analytical Graph Workloads

Explore cutting-edge graph database technology scaling to 100,000+ cores. Learn about GDI, a new interface for high-performance, scalable graph processing in distributed memory systems.

• YouTube
• 25 minutes
• Self-Paced
• Free Video

Scalable Graph Machine Learning - Accelerating GNN Computations

Explore scalable graph machine learning techniques, focusing on Graph Neural Networks. Learn about efficient methods for training and inference, including graph sampling and partitioning for large-scale graphs.

• YouTube
• 1 hour
• Self-Paced
• Free Video

Heterogeneous Multi-Core Systems for Efficient Edge Machine Learning

Explore heterogeneous multi-core systems for efficient embedded ML, addressing challenges in core optimization, workload mapping, and data sharing. Gain insights from KULeuven MICAS research.

• YouTube
• 1 hour 13 minutes
• Self-Paced
• Free Video

Evaluating Large-Scale Learning Systems

Explore challenges and solutions in evaluating large-scale machine learning systems, including federated networks and large language models. Gain insights into reliable assessment methods.

• YouTube
• 59 minutes
• Self-Paced
• Free Video

ML for High-Performance Climate: Data Post Processing, Compression, and Earth Virtualization Engines

Explore advanced ML techniques for climate data processing, compression, and Earth virtualization, enhancing high-performance computing in climate science.

• YouTube
• 1 hour 8 minutes
• Self-Paced
• Free Video

Noise in the Clouds - Influence of Network Performance Variability on Application Scalability

Explore network performance variability in cloud computing and its impact on HPC workload scalability, comparing cloud providers with on-premise systems.

• YouTube
• 22 minutes
• Self-Paced
• Free Video

Streaming Task Graph Scheduling for Dataflow Architectures

Explore efficient scheduling techniques for dataflow architectures using canonical task graphs, steady-state analysis, and spatial block partitioning to optimize performance and device utilization.

• YouTube
• 29 minutes
• Self-Paced
• Free Video

Earth Virtualization Engines (EVE) for Climate Change Modeling

Explore Earth Virtualization Engines (EVE) and their potential impact on climate change research with Bjorn Stevens from MPI Hamburg.

• YouTube
• 23 minutes
• Self-Paced
• Free Video

From Two Strong Oxen to Billions of Fleas - The Evolution of Massively Parallel Distributed Supercomputers

Explore massively parallel distributed supercomputers, focusing on distributed-memory parallelism and RDMA through MPI. Gain insights into current designs and future challenges in high-performance computing.

• YouTube
• 33 minutes
• Self-Paced
• Free Video

HPVM: Performance, Programmability and Retargetability for Heterogeneous Parallel Systems

Explore HPVM's approach to programming heterogeneous parallel systems, focusing on performance, ease of use, and retargetability across diverse hardware targets.

• YouTube
• 1 hour 5 minutes
• Self-Paced
• Free Video

The Role of MPI in Modern AI - Rusty Lusk's Legacy

Explore MPI's crucial role in modern AI and its impact on parallel computing, honoring Rusty Lusk's contributions to the field.

• YouTube
• 40 minutes
• Self-Paced
• Free Video

Realizing Petabit/s IO and sub-pJ/bit System-wide Communication with Silicon Photonics

Explore integrated silicon photonics for high-bandwidth, low-energy chip communication, enabling Pb/s speeds and flexible architectures for distributed ML applications.

• YouTube
• 1 hour 1 minute
• Self-Paced
• Free Video

A Chiplet-Based Generative Inference Architecture with Block Floating Point Datatypes

Explore a chiplet-based architecture for generative inference, featuring block floating point datatypes and optimizations for large language models in AI accelerated computing.

• YouTube
• 1 hour 6 minutes
• Self-Paced
• Free Video