Accepted Proposals

We are pleased to announce the accepted tutorials. Stay tuned for the full program with schedule and room details.
 

• Mapping Applications on Exascale Systems: 5th Tutorial on Mapping and Affinity
• Bootstrapping and Cluster DevOps with OpenCHAMI
• 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.
• Write Once, Accelerate Anywhere: Portable SYCL Programming for Next-Gen HPC and AI Applications
• Accelerate Time-to-Science using the NVIDIA Grace-Hopper Superchip
• Integrating distributed classical and quantum computing resources for hybrid workflows in the cloud
• Better Software for Science with High-Performance Computing
• Accelerating HPC Application I/O with Fast Node-Local Storage
• High-Performance and Smart Networking Technologies for HPC and AI
• Principles and Practice of Scalable and Distributed Deep Neural Networks Training and Inference
• Building Portable HPC Environments: The Virtual Fugaku Strategy
• Workload and workflow management in quantum-classical HPC
• Performant and scalable simulation of open quantum systems
• Programming Novel AI Accelerators for Scientific Computing
• Distributed, GPU-Aware, Task-Parallel Programming with FleCSI
• Training of Large Language Models (LLMs) at Scale: From GPU Workstations to HPC and AI Clusters
• CUDA Kernel development with MathDx in C++ & Python: Hands on matrix multiplication emulation with the Ozaki-I scheme
• Getting Started with Quantum Computing using Qiskit
• Managing HPC Software Complexity with Spack
• Julia for performance-portable High-Performance Computing via JACC

-> Go back to the Tutorials page