A theoretical framework for algorithm-architecture co-design

We consider the problem of how to enable computer architects and algorithm designers to reason directly and analytically about the relationship between high-level architectural features and algorithm characteristics. We propose a modeling framework designed to help understand the long-term and high-level impacts of algorithmic and technology trends. This model connects abstract communication complexity analysis-with respect to both the inter-core and inter-processor networks and the memory hierarchy-with current technology proposals and projections. We illustrate how one might use the framework by instantiating a particular model for a class of architectures and sample algorithms (three-dimensional fast Fourier transforms, matrix multiply, and three-dimensional stencil). Then, as a suggestive demonstration, we analyze a number of what-if scenarios within the model in light of these trends to suggest broader statements and alternative futures for power-constrained architectures and algorithms.