The integration of graphics processing units (GPUs) on high-end compute nodes has
established a new accelerator-based heterogeneous computing model, which now …

GPUs have become ubiquitous in the cloud due to the dramatic performance gains they
enable in domains such as machine learning and computer vision. However, offloading …

Graphics Processing Units (GPUs) exploit large amounts of threadlevel parallelism to
provide high instruction throughput and to efficiently hide long-latency stalls. The resulting …

Ease of use and transparent access to elastic resources have attracted many applications
away from traditional platforms toward serverless functions. Many of these applications, such …

This paper introduces a platform to support serverless computing for scalable event-driven
data processing that features a multi-level elasticity approach combined with virtualization of …

In this report, we review the current state of the art of web‐based visualization applications.
Recently, an increasing number of web‐based visualization applications have emerged …

Applications are migrating en masse to the cloud, while accelerators such as GPUs, TPUs,
and FPGAs proliferate in the wake of Moore's Law. These trends are in conflict: cloud …

Recent innovation in large language models (LLMs), and their myriad use cases have
rapidly driven up the compute demand for datacenter GPUs. Several cloud providers and …

Modern vehicles are evolving with more electronic components than ever before (In this
paper,“vehicle” means “automotive vehicle.” It is also equal to “car.”) One notable example is …

Serverless platforms have been attracting applications from traditional platforms because
infrastructure management responsibilities are shifted from users to providers. Many …