Architecture 2.0: Data-Centric AI Gymnasium for Computer Architecture Design

Presented by Vijay Janapa reddi (Harvard University) The Open Compute Project has been at the forefront of driving innovation and collaboration in computer system design. As we stand on the cusp of a technological revolution, the transformative power of machine learning (ML) in shaping the future of computer system design cannot be overstated. In this talk, we will explore the potential implications of ML while also recognizing the challenges and pitfalls that accompany this new era. "Architecture 2.0" will usher in an era where we utilize AI/ML methods to minimize human intervention and build more complex, efficient systems in a shorter timeframe. However, realizing the full potential of Architecture 2.0 requires a collective effort and a call to action for the community to come together. During this talk, we will emphasize the importance of collaborative research and responsible innovation spanning AI/ML methods, datasets, tools, infrastructures and establishing best practices. It is essential that we unite as a community, transcending academic and industry boundaries, to drive the evolution of AI-driven system design and usher in a new era of unparalleled performance and efficiency.