I am Shubham, a first-year doctoral student.
I recently attended the PDCAT 2024 conference in Hong Kong, where I presented my research, “Leveraging Hardware Performance Counters for Predicting Workload Interference in Vector Supercomputers.” My study explores the application of machine learning to classify workloads, aiming to optimize resource management in HPC environments.
The presentation garnered insightful feedback and sparked engaging discussions with global experts. These interactions provided valuable perspectives, fostering collaboration and inspiring new approaches to tackling workload interference challenges.
Beyond the conference, Hong Kong’s vibrant culture and stunning skyline added to the memorable experience.
The city’s dynamic environment offered a perfect setting for innovation and reflection. This visit marked a significant milestone in my academic journey, reinforcing my commitment to advancing workload placement strategies in vector supercomputing and beyond.