Tutorials
Tutorials: Sunday, August 23rd, 2026
| Time (PDT) | Title | Presenters |
|---|---|---|
| 8:00AM-9:00AM |
Breakfast/registration |
|
| 9:00AM-11:00AM |
Tutorial 1: Memory technology Chair: Suresh Rajgopal |
|
|
Memory: Feeding AI’s voracious hunger for data |
Jim Handy, Objective Analysis | |
|
Evolving memory architectures for AI |
Raghu Sreeramaneni, Micron | |
|
HBM Base Die: How will HBM evolve in the future by utilizing the logic process? |
Sangwook Han, Samsung | |
|
Advanced packaging for High Bandwidth Memory (HBM) |
Jaesik Lee, SK Hynix | |
| 11:00AM-11:30AM |
Break |
|
| 11:30AM-12:30PM |
Tutorial 1: Memory technology (cont) |
|
|
3D DRAM based Accelerator for Generative Inference |
Sudeep Bhoja (D-Matrix) & Aayush Ankit (Meta) | |
|
HBF in AI Compute - A System Architect’s view |
Anurag Agrawal & Radhakrishna Giduthuri, Oxmiq Labs | |
| 12:30PM-1:45PM |
Lunch |
|
| 1:45PM-3:15PM |
Tutorial 2: RISC-V Chair: Marcel Tromp |
|
|
Update on RISC-V standards and adoption, including profiles and platforms |
Krste Asanovic, SiFive | |
|
Evolution of enterprise open-source on RISC-V and architectural convergence on RVA23 |
Gordan Markus, Canonical | |
| 3:15PM-3:45PM |
Break |
|
| 3:45PM-5:00PM |
Tutorial 1: RISC-V (cont) |
|
|
RISC-V profile and platform for interoperability with NVIDIA GPUs |
Frans Sijstermans, NVIDIA | |
|
RISC-V for automotive: opportunities and challenges |
Thomas Roecker, Infineon | |
| 5:00PM-7:00PM |
Reception |