Top 10 Exascale Computing experts to follow
Dr. Jack Dongarra: Known for his role in the development of the LINPACK benchmarks, Dongarra’s influence spans decades in the HPC community. He’s heavily involved in the challenges and possibilities of exascale computing, particularly in adapting software to new architectures.
Dr. Thomas Sterling: A professor at Indiana University, Sterling’s work on the Beowulf cluster made supercomputing accessible to the broader research community. He’s actively researching exascale computing paradigms.
Prof. Katherine Yelick: At the University of California, Berkeley, Yelick’s work focuses on parallel languages, architectures, and algorithms. Her research aims to solve the software challenges posed by exascale and beyond.
Dr. William D. Gropp: A distinguished HPC researcher, Gropp has been pivotal in the development of the Message Passing Interface (MPI). His insights will be crucial as software design and scalability become focal points for exascale challenges.
Dr. Sudip S. Dosanjh: As the director of the NERSC (National Energy Research Scientific Computing Center), Dosanjh oversees some of the most significant HPC projects. His leadership will shape how exascale computing is utilized for scientific discovery.
Prof. John Shalf: Based at Lawrence Berkeley National Laboratory, Shalf’s work delves into various aspects of exascale computing, including energy-efficient architecture and advanced memory technology.
Dr. Paul Messina: A senior strategic advisor at the Argonne Leadership Computing Facility, Messina led the U.S. Department of Energy’s Exascale Computing Project, which aims to accelerate the delivery of a capable exascale ecosystem.
Prof. Satoshi Matsuoka: Director of RIKEN Center for Computational Science in Japan, Matsuoka’s involvement in the Fugaku supercomputer project, which is among the world’s fastest, places him at the forefront of exascale advancements.
Dr. Horst Simon: An internationally recognized expert in HPC, Simon’s research has focused on algorithms for sparse matrix operations, which are crucial for large-scale scientific simulations. His insights are vital for the transition to exascale.
Prof. Xiaoye Sherry Li: Working at Lawrence Berkeley National Laboratory, Li’s expertise lies in scalable algorithms, which are foundational for exascale computations, especially in large-scale scientific simulations.