Advance Program Overview
Tutorials: Sunday, August 21, 2022
| Time (PDT) | Title | Presenters |
|---|---|---|
| 7:45AM-8:30AM |
Breakfast/Registration |
|
| 8:30AM-10:35AM |
Tutorial 1: AI Assisted Hardware Design - Will AI Elevate or Replace Hardware Engineers? |
|
| 10:35AM-11:00AM |
Coffee Break (1/2 hr) |
|
| 11:00AM-12:30PM |
Tutorial 1: AI Assisted Hardware Design - Will AI Elevate or Replace Hardware Engineers? |
|
| 12:30PM-1:45PM |
Lunch (1 hr 15 min) |
|
| 1:45PM-3:15PM |
Tutorial 2: The Cooling of Hot Chips: How thermal technology is keeping up with the AI revolution |
|
| 3:15PM-3:45PM |
Coffee Break (1/2 hr) |
|
| 3:45PM-6:00PM |
Tutorial 2: The Cooling of Hot Chips: How thermal technology is keeping up with the AI revolution |
|
| 6:00PM-8:00PM |
Reception |
Conference Day 1: Monday, August 22, 2022
| Time (PDT) | Title | Presenters |
|---|---|---|
| 7:45AM-9:15AM |
Breakfast/Registration |
|
| 9:15AM-9:30AM |
Welcome |
|
|
General Chair Welcome |
Ron Diamant, General Chair | |
|
Progam Co-Chairs Welcome |
Rob Aitken & Larry Yang, PC Co-Chairs | |
| 9:30AM-11:00AM |
High-Performance Processors Part 1 |
|
|
Snapdragon X Elite Qualcomm Oryon CPU: Design & Architecture Overview |
Gerard Williams, Qualcomm | |
|
Lunar Lake: Powering the Next Generation of AI PCs |
Arik Gihon, Intel | |
|
IBM Next Generation Processor and AI Accelerator |
Chris Berry, IBM | |
| 11:00AM-11:30AM |
Coffee Break |
|
| 11:30AM-1:00PM |
Specialized Processors |
|
|
Blackhole and TT-Metalium - The Standalone AI Computer and its Programming Model |
Jasmina Vasiljevic & Davor Capalija, Tenstorrent | |
|
SK Hynix AI-Specific Computing Memory Solution: From AiM device to Heterogeneous AiMX-xPU System for Comprehensive LLM Inference |
Guhyun Kim, SK Hynix | |
|
Built for the Edge: The next generation Intel® Xeon 6 SoC |
Praveen Mosur, Intel | |
| 1:00PM-2:15PM |
Lunch (1 hr 15 min) |
|
| 2:15PM-3:15PM |
Keynote #1 |
|
|
Predictable Scaling and Infrastructure |
Trevor Cai, OpenAI | |
| 3:15PM-4:15PM |
AI Processors Part 1 |
|
|
NVIDIA Blackwell Platform: Advancing Generative AI and Accelerated Computing |
Ajay Tirumala & Raymond Wong, NVIDIA | |
|
SambaNova SN40L RDU: Breaking the Barrier of Trillion+ Parameter Scale Gen AI Computing |
Raghu Prabhakar, SambaNova | |
| 4:15PM-4:45PM |
Coffee Break (1/2 hr) |
|
| 4:45PM-6:45PM |
AI Processors Part 2 |
|
|
Intel Gaudi 3 AI Accelerator: Architected for Gen AI Training and Inference |
Roman Kaplan, Intel | |
|
AMD InstinctTM MI300X Generative AI Accelerator and Platform Architecture |
Alan Smith & Vamsi Krishna Alla, AMD | |
|
An AI Compute ASIC with Optical Attach to Enable Next Generation Scale-up Architectures |
Manish Mehta, Broadcom | |
|
FuriosaAI RNGD: A Tensor Contraction Processor for Sustainable AI Computing |
June Paik, Furiosa | |
| 6:45PM-8:30PM |
Reception |
Conference Day 2: Tuesday, August 23, 2022
| Time (PDT) | Title | Presenters |
|---|---|---|
| 7:45AM-8:30AM |
Breakfast/Registration |
|
| 8:30AM-9:00AM |
Poster Lightning Session |
|
| 9:00AM-10:30AM |
AI Processors Part 3 |
|
|
AMD Versal™ AI Edge Series Gen 2 for Vision and Automotive |
Tomai Knopp & Jeffrey Chu, AMD | |
|
Onyx: A Programmable Accelerator for Sparse Tensor Algebra |
Kalhan Koul, Stanford | |
|
Next Gen MTIA - Meta’s Recommendation Inference Accelerator |
Mahesh Maddury & Pankaj Kansal, Meta | |
| 10:30AM-11:00AM |
Coffee Break |
|
| 11:00AM-12:30PM |
Networking Processors |
|
|
DOJO: An Exa-Scale Lossy AI Network using the Tesla Transport Protocol over Ethernet (TTPoE) |
Eric Quinnell, Tesla | |
|
ACF-S: An 8-Tbit/s SuperNIC for High-Performance Data Movement in AI & Accelerated Compute Networks |
Shrijeet Mukherjee & Thomas Norrie, Enfabrica | |
|
4 Tbit/s Optical Compute Interconnect Chiplet for XPU-to-XPU Connectivity |
Saeed Fathololoumi, Intel | |
| 12:30PM-1:45PM |
Lunch (1 hr 15 min) |
|
| 1:45PM-2:45PM |
Keynote #2 |
|
|
The Journey to Life with AI Pervasiveness |
Victor Peng, AMD | |
| 2:45PM-3:45PM |
High-Performance Processors Part 2 |
|
|
Wafer-Scale AI: Enabling Unprecedented AI Compute Performance |
Sean Lie, Cerebras | |
|
XiangShan: An Open-Source Project for High-Performance RISC-V Processors Meeting Industrial-Grade Standards |
Kaifan Wang, Chinese Academy of Sciences | |
| 3:45PM-4:15PM |
Coffee Break (1/2 hr) |
|
| 4:15PM-6:15PM |
High-Performance Processors Part 3 |
|
|
AmpereOne: Sustainable Computing for AI & Cloud Native Workloads |
Matthew Erler, Ampere Computing | |
|
Inside MAIA 100 |
Sherry Xu & Chandru Ramakrishnan, Microsoft | |
|
AMD Next Generation “Zen 5” Core |
Brad Cohen & Mahesh Subramony, AMD | |
|
MN-Core 2: Second-generation processor of MN-Core architecture for AI and general-purpose HPC applications |
Jun Makino, Preferred Networks | |
| 6:15PM-6:30PM |
IEEE TCMM Awards |
|
|
IEEE TCMM Awards |
Gabriel Southern, TCMM Chair | |
| 6:30PM-6:45PM |
Closing Remarks |
|
|
Closing Remarks |
Jan-Willem van de Waerdt, Vice Chair |