Location: Room O7 – Orchid Jr 4311 (Level 4)
Abstract: The rapid evolution of ARM architecture has catalyzed significant advancements in high-performance computing (HPC) and artificial intelligence (AI), particularly in scientific research. This workshop aims to explore the potential of ARM-based systems as a transformative force in computational science. With the growing demand for efficient, scalable, and energy-conscious computing solutions, ARM’s unique architecture offers compelling advantages, including enhanced performance per watt and flexibility across diverse applications.
Participants will engage with leading experts in the field, discussing the integration of ARM-based platforms in various scientific domains, such as genomics, climate modeling, and particle physics.
We will showcase case studies demonstrating successful implementations of ARM systems in HPC environments, highlighting innovations in algorithm design and optimization techniques that leverage ARM’s capabilities. Additionally, the workshop will address the challenges and opportunities presented by the adoption of ARM architecture, including software compatibility, ecosystem development, and future directions for research. Interactive sessions will facilitate collaboration among attendees, fostering dialogue on best practices and strategies for maximizing the potential of ARM technology in scientific workflows.
By bridging the gap between hardware advancements and scientific applications, this workshop aspires to inspire new research collaborations and drive the next wave of innovation in computational science. We invite researchers, industry professionals, and students to join us in exploring the future of ARM-based systems and their impact on scientific discovery.
Together, we can harness the power of ARM architecture to propel scientific endeavors into new frontiers, ensuring that the next generation of research is both efficient and impactful.
Workshop URL: https://hpc.sjtu.edu.cn/abs4s
