A BenchCouncil view on benchmarking emerging and future computing

Abstract

The measurable properties of the artifacts or objects in the computer, management, or finance disciplines are extrinsic, not inherent — dependent on their problem definitions and solution instantiations. The processes of problem definition, solution instantiation, and measurement are entangled. Only after the instantiation can the solutions to the problem be measured. Definition, instantiation, and measurement have complex mutual influences. Meanwhile, the technology inertia brings instantiation bias — trapped into a subspace or even a point at a high-dimension solution space. These daunting challenges, which emerging computing aggravates, make metrology cannot work for benchmark communities. It is pressing to establish independent benchmark science and engineering.

This article presents a unifying benchmark definition, a conceptual framework, and a traceable and supervised learning-based benchmarking methodology, laying the foundation for benchmark science and engineering. I also discuss BenchCouncil’s plans for emerging and future computing. The ongoing projects include defining the challenges of intelligence, instinct, quantum computers, Metaverse, planet-scale computers, and reformulating data centers, artificial intelligence for science, and CPU benchmark suites. Also, BenchCouncil will collaborate with ComputerCouncil on open-source computer systems for planet-scale computing, AI for science systems, and Metaverse.