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 …

Modern real-world application scenarios like Internet services consist of a diversity of AI and
non-AI modules with huge code sizes and long and complicated execution paths, which …

Abstract Spiking Neural Networks (SNNs) show great potential for solving Artificial
Intelligence (AI) applications. At the preliminary stage of SNNs, benchmarks are essential for …

The recent years witness a trend of applying large-scale distributed deep learning in both
business and scientific computing areas, whose goal is to speed up the training time to …

A considerable amount of research and engineering went into designing proxy applications,
which represent common high-performance computing workloads, to co-design and …

Domain-specific software and hardware co-design is encouraging as it is much easier to
achieve efficiency for fewer tasks. Agile domain-specific benchmarking speeds up the …