Program Tutorials

SEPTEMBER 21, 2026

Full Day 09:00 – 16:00
09:00
16:00
Auditorio Principal
Managing HPC Software Complexity with Spack

Spack is the open-source package manager that has become a de facto standard for HPC software deployment, used in production on 5 of the current TOP500 top-10 systems.

Instructor: Caetano Melone, Todd Gamblin (LLNL) · Fernando Posada (ORNL)
09:00
16:00
Salón 3 – Velez Sarsfield
Development of Parallel Applications with the Task-Oriented Paradigm in the StarPU Runtime

An advanced tutorial on the task-based parallel programming paradigm and the StarPU runtime, designed for heterogeneous HPC systems with multicore CPUs and GPU accelerators.

Instructors: Lucas M. Schnorr (UFRGS) · Vinicius Garcia Pinto (FURG) · Raymond Namyst, Samuel Thibault (INRIA / University of Bordeaux)
Half Day · Morning 09:00 – 13:00
09:00
13:00
Sala B
Agentic AI Design with AMD Technology

A hands-on exploration of the evolution from generative AI to autonomous AI agents — models, orchestration, memory, and tool integration.

Instructor: Mario Ruiz-Noguera (AMD)
09:00
13:00
Salón 2 – Gobernadores
High-Performance and Smart Networking Technologies for HPC and AI

A comprehensive overview of the interconnect landscape powering modern HPC and AI systems: InfiniBand, RoCE, Omni-Path, Slingshot, Ultra-Ethernet, NVLink, and more.

Instructors: Dhabaleswar K. (DK) Panda, Benjamin Michalowicz (The Ohio State University)
09:00
13:00
Room 4
Simulating Quantum Algorithms with Q-Team

A practical introduction to quantum computing and algorithm simulation using the Q-Team platform — qubits, quantum gates, and quantum circuits.

Instructor: José David Bañuelos Aquino (Q-Team, México)
Half day · Afternoon 14:30 – 18:00
14:30
18:00
Sala B
Introduction to the ROCm™ Ecosystem

A technical and hands-on introduction to AMD’s open-source ROCm™ software stack and the HIP programming model. No prior GPU programming experience is needed.

Instructor: Mario Ruiz-Noguera (AMD)
14:30
18:00
Room 4
Introduction to Quantum Machine Learning on Quantum Computers

An introduction to quantum machine learning (QML) that bridges quantum computing fundamentals and machine learning concepts, with hands-on cloud-based experiments.

Instructor: Gleydson Fernandes de Jesus (SENAI CIMATEC)
14:30
18:00
Salón 2 – Gobernadores
Principles and Practice of Scalable and Distributed AI Training and Inference

An end-to-end treatment of the AI model lifecycle — training, fine-tuning, and inference — on modern HPC clusters, covering GPT, LLaMA, DeepSeek, and ViT-scale models.

Instructors: Dhabaleswar K. (DK) Panda, Nawras Alnaasan (The Ohio State University)