AI benchmarking provides yardsticks for benchmarking, measuring and evaluating
innovative AI algorithms, architecture, and systems. Coordinated by BenchCouncil, this …

In recent years, with the trend of applying deep learning (DL) in high performance scientific
computing, the unique characteristics of emerging DL workloads in HPC raise great …

Despite extensive efforts to meet ever-growing demands, today's datacenters often exhibit
far-from-optimal performance in terms of network utilization, resiliency to failures, cost …

In recent years, a number of benchmark suites have been created for the``Big Data''domain,
and a number of such applications fit the client-server paradigm. A large volume of recent …

While prior work has explored many proposed datacenter designs, only two designs, Clos-
based and expander-based, are generally considered practical because they can scale …

Planet-scale applications are driving the exponential growth of the Cloud, and datacenter
specialization is the key enabler of this trend. GPU-and FPGA-based clouds have already …

Artificial intelligence and machine learning are experiencing widespread adoption in the
industry, academia, and even public consciousness. This has been driven by the rapid …

Artificial intelligence and machine learning are experiencing widespread adoption in
industry and academia. This has been driven by rapid advances in the applications and …

Cloud services are becoming increasingly globalized and data-center workloads are
expanding exponentially. GPU and FPGA-based clouds have illustrated improvements in …

Datacenter workloads have evolved from the data intensive, loosely-coupled workloads of
the past decade to more tightly coupled ones, wherein ultra-low latency communication is …