Advance Program Overview
Tutorials: Sunday, August 21, 2022
| Time (PDT) | Title | Presenters |
|---|---|---|
| 7:45AM-8:30AM |
Breakfast/Registration |
|
| 8:30AM-10:30AM |
ML Inference |
|
| 10:30AM-11:00AM |
Coffee Break (1/2 hr) |
|
| 11:00AM-12:15PM |
ML Inference |
|
| 12:15PM-1:30PM |
Lunch (1 hr 15 min) |
|
| 1:30PM-3:30PM |
Chiplets/UCI |
|
| 3:30PM-4:00PM |
Coffee Break (1/2 hr) |
|
| 4:00PM-5:30PM |
Chiplets/UCI |
|
| 5:30PM-7:00PM |
Reception |
Conference Day 1: Monday, August 22, 2022
| Time (PDT) | Title | Presenters |
|---|---|---|
| 7:45AM-8:45AM |
Breakfast/Registration |
|
| 8:45AM-9:00AM |
Opening Remarks |
|
|
General Chair Welcome |
Gabriel Southern & Ron Diamant | |
|
Progam Co-Chairs Welcome |
Natalia Vassilieva & Heiner Litz | |
| 9:00AM-10:00AM |
Keynote #1 |
|
|
Exciting Directions for ML Models and the Implications for Computing Hardware |
Jeff Dean & Amin Vahdat, Google | |
| 10:00AM-11:00AM |
Processing in Memory |
|
|
Memory-centric Computing with SK Hynix’s Domain-Specific Memory |
Yongkee Kwon, SK Hynix | |
|
Samsung AI-cluster system with HBM-PIM and CXL-based Processing-near-Memory for transformer-based LLMs |
Jin Hyun Kim, Samsung | |
| 11:00AM-11:05AM |
Sachs Memorial |
|
|
Sachs Memorial |
Alan J Smith, UC Berkeley | |
| 11:05AM-11:30AM |
Coffee Break |
|
| 11:30AM-1:00PM |
CPU 1 |
|
|
ARM’s Neoverse V2 platform: leadership performance and power efficiency for next-generation cloud computing, ML and HPC workloads |
Magnus Bruce, ARM | |
|
AMD Next Generation “Zen 4” Core and 4th Gen AMD EPYCTM 9004 Server CPU |
Kai Troester & Ravi Bhargava, AMD | |
|
Ventana’s Veyron V1 Data Center-Class RISC-V Processor |
Greg Favor, Ventana | |
| 1:00PM-2:15PM |
Lunch (1 hr 15 min) |
|
| 2:15PM-4:15PM |
Platforms |
|
|
Architecting for Flexibility and Value with future Intel® Xeon® processors |
Chris Gianos, Intel | |
|
CSS-Genesis: Arm’s Neoverse N2 platform, delivered to partners as a fully verified, customizable compute sub-system |
Anitha Kona, ARM | |
|
Intel® Energy Efficiency Architecture |
Efraim Rotem, Intel | |
|
Caliptra: An Open-Source Root of Trust for Measurements |
Bharat Pillilli, Microsoft | |
| 4:15PM-4:45PM |
Coffee Break (1/2 hr) |
|
| 4:45PM-6:15PM |
CPU 2 |
|
|
Intel® Xeon® processors built on Efficient-core (E-Core): The Next Generation of High Performance, Energy-Efficient Computing |
Don Soltis, Intel | |
|
AMD Ryzen 7040 Series Mobile Processor |
Mahesh Subramony & David Kramer, AMD | |
|
Detailed Architecture Analysis and Key Features of SiFive’s latest high-performance out-of-order Vector Processor |
Brad Burgess, SiFive | |
| 6:15PM-7:45PM |
Reception |
Conference Day 2: Tuesday, August 23, 2022
| Time (PDT) | Title | Presenters |
|---|---|---|
| 7:45AM-8:30AM |
Breakfast/Registration |
|
| 8:30AM-9:00AM |
Poster Lighting Talks (2 minutes/poster) |
|
|
Poster Lighting Talks |
||
| 9:00AM-10:00AM |
Keynote #2 |
|
|
Hardware for Deep Learning |
Bill Dally, NVIDIA | |
| 10:00AM-11:00AM |
ML-Training |
|
|
A Machine Learning Supercomputer With An Optically Reconfigurable Interconnect and Embeddings Support |
Norman Jouppi & Andy Swing, Google | |
|
Inside the Cerebras Wafer-Scale Cluster |
Sean Lie, Cerebras | |
| 11:00AM-11:30AM |
Coffee Break (1/2 hr) |
|
| 11:30AM-1:00PM |
Interconnects |
|
|
NVIDIA’s Resource Transmutable Network Processing ASIC |
Kevin Deierling, NVIDIA | |
|
Hummingbird Low-Latency Computing Engine |
Maurice Steinman, Lightelligence | |
|
The First Direct Mesh-to-Mesh Photonic Fabric |
Jason Howard, Intel | |
| 1:00PM-2:15PM |
Lunch (1 hr 15 min) |
|
| 2:15PM-4:15PM |
ML-Inference |
|
|
IBM NorthPole Neural Inference Machine |
Dharmendra Modha, IBM | |
|
Moffett Antoum: A Deep-Sparse AI Inference System-on-Chip for Vision and Large Language Models |
Zhibin Xiao, Moffet AI | |
|
Qualcomm® Hexagon™ NPU |
Eric Mahurin, Qualcomm | |
|
Supercharged AI inference on modern CPUs |
Lawrence Spracklen & Subutai Ahmad, Numenta | |
| 4:15PM-4:45PM |
Coffee Break (1/2 hr) |
|
| 4:45PM-6:15PM |
FPGAs & Cooling |
|
|
AMD Next Generation FPGA Built From Chiplets |
Dinesh Gaitonde, AMD | |
|
Intel’s Agilex-9 Direct RF FPGAs with Integrated 64 GSPS Data Converters |
Benjamin Esposito, Intel | |
|
High Performance Cold Plates for Data Center Thermal Management via Electrochemical Additive Manufacturing (ECAM) |
Ian Winfield, Fabric8Labs | |
| 6:15PM-6:30PM |
Closing Remarks |
|
|
Closing Remarks |
Gabriel Southern & Ron Diamant |