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CRNCH Summit 2024 Archival Site

The CRNCH 2024 Summit was be held on February 8th-9th. Please check the official site for more detail. This site contains links to slides for those presenters who provided them.

Thursday, February 8th, 2024

Time (EST) Session Speaker/Talk Title
8:30 AM Registration and Continental Breakfast
9:00 AM Keynote Hal Finkel, DoE, director of ASCR [Bio]
Session chair – Hyesoon Kim The Department of Energy’s Advanced Scientific Computing Research Program: Recent Advances and Trends Motivating Future Research
10:00 AM BREAK
10:20 AM Session 1: ML Systems Alexey Tumanov, Georgia Tech [Bio]
Session chair – Tushar Krishna Serving Pareto Frontiers for Goodput-Sensitive Applications [Abstract]
Larry Heck, Georgia Tech [Bio] [Abstract]
A Brief History of Large Language Models… and a glimpse into the future
Michael Isaev, Georgia Tech [Bio]
Calculon: a methodology and tool for high-level co-design of systems and large language models [Abstract]
Pan Li, Georgia Tech [Bio]
Machine learning on Graphs — system-friendly algorithm design [Abstract]
12:00 PM Lunch / “Food for Thought” Santosh Vempala, GT Computer Science [Bio]
Session chair – Rich Vuduc Emergent Computation and Learning in a Model of the Brain: from Neurons and Synapses to Memory and Cognition [Abstract]
1:20 PM Plenary Talk Prasanna Balaprakash, ORNL Director of AI Programs [Bio]
Session chair – Rich Vuduc Taming High-Performance Computing Platform Complexity with Machine Learning [Abstract]
2:20 PM BREAK
2:35 PM Session 2: Extreme Low Power Computing Josiah Hester, GT CS/IC [Bio]
Session Chair – Celine Lin Embracing Failure: Axioms and Future Directions of Intermittent Computing [Abstract]
Azad Naeemi, GT ECE [Bio]
Novel Ternary Content Addressable Memory Designs Based on Emerging Magnetic and Magnetoelectric Devices [Abstract]
3:50 PM Session 3: Simulation and Testbeds Jason Lowe-Power, UC Davis [Bio]
Session Chair – Hyesoon Kim Leveraging the open-source ethos: How and why gem5 is being used to design the next generation of supercomputers [Abstract]
Jeff Young, Georgia Tech [Bio]
Novel Architecture Simulation, Emulation, and Evaluation with the CRNCH Rogues Gallery
Murali Emani, Argonne National Lab [Bio]
Accelerating Scientific Machine Learning with AI Accelerators at ALCF AI Testbed
4:40 PM Poster Session TSRB event space – See poster abstracts and pdfs at this link
Session Chair – Jeff Young
6:00 PM End of Day 1 – Time for Networking and Discussions

Friday, February 9rd, 2024

Time (EST) Session Speaker/Talk Title
9:00 AM Keynote Yiran Chen, Duke University [Bio]
Session Chair – Celine Lin Optimizing AI Systems through Cross-Layer Design: A Data-Centric Approach [Abstract]
10:00 AM Session 4: Analog and Neuromorphic Jennifer Hasler, Georgia Tech ECE [Bio]
Session Chair – Jeff Young A Vision for Neuromorphic Hardware Development Tools
Benjamin Feinberg, Sandia [Bio]
Where Is My Analog Accelerator? [Abstract]
10:50 AM BREAK
11:10 AM Session 5: Emerging Applications Spencer Bryngelson, GT CSE [Bio]
Session Chair – Rich Vuduc Hybrid algorithm for incompressible flow simulation on quantum hardware [Abstract]
Mathias Jacquelin, Cerebras [Bio]
Multi-Dimensional Seismic Processing with Algebraic Compression on Cerebras CS-2 Systems
12:00 PM Lunch Panel H/W and S/W co-design panel Vivek Sarkar (GT), Roberto Gioiosa (PNNL), Yiran Chen (Duke), Mathias Jacquelin (Cerebras), Hyesoon Kim (GT), Peter Kogge (UND)
Moderator – Tushar Krishna
1:20 PM Session 6: HW-SW Co-Design for ML Roberto Gioiosa, PNNL [Bio]
Session Chair – Hyesoon Kim Hardware Accelerators: Use, Misuse, and Co-Design
Bahar Asgari, UMD [Bio]
Exploiting Diversity in Sparse Problems to Enable Efficient Computing
2:30 PM Closing Remarks

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