32 citations · 41 across the 4 of their papers we have counts for
4 papers
SuperBench: Improving Cloud AI Infrastructure Reliability with Proactive Validation
Yifan Xiong, Yuting Jiang, Ziyue Yang +17
Reliability in cloud AI infrastructure is crucial for cloud service providers, prompting the widespread use of hardware redundancies. However, these redundancies can inadvertently…
Tutel: Adaptive Mixture-of-Experts at Scale
Changho Hwang, Wei Cui, Yifan Xiong +12
Sparsely-gated mixture-of-experts (MoE) has been widely adopted to scale deep learning models to trillion-plus parameters with fixed computational cost. The algorithmic performance…
MLPerf HPC: A Holistic Benchmark Suite for Scientific Machine Learning on HPC Systems
Steven Farrell, Murali Emani, Jacob Balma +40
Scientific communities are increasingly adopting machine learning and deep learning models in their applications to accelerate scientific insights. High performance computing syste…
Software Process Measurement and Related Challenges in Agile Software Development: A Multiple Case Study
Prabhat Ram, Pilar Rodriguez, Markku Oivo
Existing scientific literature highlights the importance of metrics in Agile Software Development (ASD). Still, empirical investigation into metrics in ASD is scarce, particularly…