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 …

Earlier-stage evaluations of a new AI architecture/system need affordable AI benchmarks.
Only using a few AI component benchmarks like MLPerf alone in the other stages may lead …

Distributed cloud/edge (DCE) platform has become popular in recent years. This paper
proposes a new AI benchmark suite for assessing the performance of DCE platforms in …

Understanding the designs and performance characterizations of hot interconnects on
modern data center and high-performance computing (HPC) clusters is a fruitful research …

Recent years witness a trend of applying large-scale distributed deep learning algorithms
(HPC AI) in both business and scientific computing areas, whose goal is to speed up the …

With the development of data centers, network bandwidth has rapidly increased, reaching
hundreds of Gbps. However, the network I/O processing performance of CPU improvement …

The rapid evolution of the metaverse has led to the emergence of numerous metaverse
technologies and productions. From a computer systems perspective, the metaverse system …

The global community faces many pressing and uncertain challenges like pandemics and
global climate change. Information technology (IT) infrastructure has become the enabler to …

AI technology has been used in many clinical research fields, but most AI technologies are
difficult to land in real-world clinical settings. In most current clinical AI research settings, the …

Emerging and future applications rely heavily upon systems consisting of Internet of Things
(IoT), edges, data centers, and humans-in-the-loop. Significantly different from warehouse …