Impact of Chiplets, Heterogeneous Integration and Modularity on AI and HPC systems
This panel explores the transformative impact of chiplets and heterogeneous integration on AI and HPC, addressing the escalating demands for memory and computing power. Chiplets, discrete components with specialized functions, are reshaping system architectures by enabling large-scale integration and modular designs. This approach optimizes performance, energy efficiency, and scalability in AI applications, from neural networks to data-intensive HPC workloads. Discussions will delve into the benefits of modular architecture, such as enhanced flexibility, easier upgrades, and accelerated innovation cycles. Key topics include design strategies for integrating diverse chiplet functionalities, interoperability standards, and ecosystem development. Attendees will gain insights into how these advancements are redefining the landscape of AI and HPC, fostering collaborative efforts to meet evolving computational challenges effectively.
Moderator:
John Shalf, Berkeley Laboratory
Panelists:
- Ramin Farjadrad (Ceo) - Eliyan
- William Chen (Senior Technical Advisor) - Ase Group
- Prith Banerjee (Chief Technology Officer) - Ansys, Inc.
- Dave Ditzel (Founder And CTO) - Esperanto Technologies
- Francesc Guim - Openchip & Software Technologies
Related Videos
- Revolutionizing System Design: Impact of Chiplets and Heterogeneous Integration on AI Server
- TSMC 3Dblox™: Unleashing 3D IC Innovations for the Next Generation of AI, HPC, Mobile and IoT
- IBM Research: Benefits and challenges of Chiplets
- Getting Moore with Less: How Chiplets and Open Interconnect Accelerate Cloud-Optimized AI Silicon
Latest Videos
- Accelerating AI Innovation with Arm Total Design: A Case Study
- The Rise of The Hublet™ & FPGA Chiplets
- From Internal Designs to Open Chiplet Economy: Discussion on How to Create Open, Democratized Access to Chiplet Technology
- “Dating” and “Marrying”: An AI Chiplet’s Perspective
- Impact of Chiplets, Heterogeneous Integration and Modularity on AI and HPC systems