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Tutorials
Accepted Proposals
We are pleased to announce the accepted tutorials. Stay tuned for
the full program with schedule and room details.
Please note that the schedule is subject to change.
Monday, January 26 | Full Day
- Decoupling I/O in HPC Codes with PDI: From File-based I/O to In Situ Data Analytics
- An introduction to Kokkos: Writing performance portable code for the exascale era.
- Better Software for Science with High-Performance Computing
- Programming Novel AI Accelerators for Scientific Computing
- CUDA Kernel development with MathDx in C++ & Python: Hands on matrix multiplication emulation with the Ozaki-I scheme
- Managing HPC Software Complexity with Spack
Monday, January 26 | Morning (9:30 - 12:30)
- Integrating distributed classical and quantum computing resources for hybrid workflows in the cloud
- High-Performance and Smart Networking Technologies for HPC and AI
Monday, January 26 | Afternoon (13:30 - 16:30)
- Accelerating HPC Application I/O with Fast Node-Local Storage
- Principles and Practice of Scalable and Distributed Deep Neural Networks Training and Inference
- Building Portable HPC Environments: The Virtual Fugaku Strategy
Thursday, January 29 | Afternoon (13:30 - 17:00 * incl. 30 min break)
- Mapping Applications on Exascale Systems: 5th Tutorial on Mapping and Affinity
- Bootstrapping and Cluster DevOps with OpenCHAMI
- Write Once, Accelerate Anywhere: Portable SYCL Programming for Next-Gen HPC and AI Applications
- Accelerate Time-to-Science using the NVIDIA Grace-Hopper Superchip
- Workload and workflow management in quantum-classical HPC
- Performant and scalable simulation of open quantum systems
- Distributed, GPU-Aware, Task-Parallel Programming with FleCSI
- Training of Large Language Models (LLMs) at Scale: From GPU Workstations to HPC and AI Clusters
- Getting Started with Quantum Computing using Qiskit
- Julia for performance-portable High-Performance Computing via JACC