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 open-source instruction set architecture RISC-V has developed rapidly in recent years,
and its combination mode of multiple sub-instruction sets has attracted the attention of IoT …

Matrix factorization is a basis for many recommendation systems. Although alternating least
squares with weighted-λ-regularization (ALS-WR) is widely used in matrix factorization with …

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 …

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 …

Benchmarking and evaluating deep learning models and systems necessitate a meticulous
approach to ensure comprehensive assessment. In practical applications, it is paramount to …

Artificial intelligence is a transforming technology for creating new scientific discoveries,
services, and products. Its full potential is achieved when massive data repositories and …

This paper outlines BenchCouncil's view on the challenges, rules, and vision of
benchmarking modern workloads like Big Data, AI or machine learning, and Internet …

Artificial Intelligence for Science (AI4S) is an emerging research field that utilizes machine
learning advancements to tackle complex scientific computational issues, aiming to enhance …

State-owned enterprises in Zimbabwe often take long to report their financial statements due
to unfunded policy mandates, weak governance, and a lack of capacity of governments to …