The prevalence of scientific workflows with high computational demands calls for their execution on various distributed computing platforms, including large-scale leadership-class …
Y Li, H Qi, G Lu, F Jin, Y Guo, X Lu - BenchCouncil Transactions on …, 2022 - Elsevier
Understanding the designs and performance characterizations of hot interconnects on modern data center and high-performance computing (HPC) clusters is a fruitful research …
To facilitate the co-design of next generation hardware architectures, it is critical to characterize the workloads of deep learning (DL) applications and assess their …
An in-depth overview of an emerging field that brings together high-performance computing, big data processing, and deep lLearning. Over the last decade, the exponential explosion of …
In recent years, the convergence of High Performance Computing (HPC) and artificial intelligence (AI) makes the community desperately need a benchmark to guide the design of …
M Wan, R Cao, Y Wang, J Wang, K Li, X Wang… - … Conference on Smart …, 2022 - Springer
With the emergence of more and more “AI+ Field+ HPC” applications, it is urgent to solve the problem of scheduling and management of High-Performance Computing (HPC) resources …
Electromobility has profound economic and ecological impacts on human society. Much of the mobility sector's transformation is catalyzed by digitalization, enabling many …