ACM named Torsten Hoefler, a Professor at ETH Zurich, the recipient of the 2024 ACM Prize in Computing for fundamental contributions to high-performance computing and the ongoing AI revolution. Hoefler developed many of the core capabilities of modern supercomputers and defined key aspects of the algorithms for distributing AI models on them.

The ACM Prize in Computing recognizes early-to-mid-career computer scientists whose research contributions have fundamental impact and broad implications. The award carries a prize of $250,000, from an endowment provided by Infosys Ltd, a global leader in next-generation digital services and consulting.

Overview
High-performance computing (HPC) plays a critical role in AI applications, which require a great deal of computing power. The work of Hoefler and his colleagues to scale network design and programming in supercomputers has revolutionized the capabilities of these large systems. For example, AI algorithms can now be processed on hundreds of thousands of nodes (computers or servers).

Hoefler’s advances in interconnection networks, programming, and parallel algorithms broke new ground in facilitating the use of large-scale massively parallel clusters. His numerous innovations across the whole supercomputer stack—including key contributions such as MPI-3 nonblocking collective operations, foundational parallelism strategies for AI models, and high-performance networking systems—have pushed the boundaries of parallel systems design and translated into dramatic improvements in supercomputer performance and scalability. Many of those innovations are incorporated into the largest and most powerful machines today.

Key Contributions

Message Passing Interface 3
Hoefler played a major role in the evolution of the Message Passing Interface (MPI), an informal industry standard for exchanging messages between numerous individual nodes throughout an HPC network. A messaging standard allows synchronization of the activities of each individual computer, sharing data between nodes, and direction and control of the entire parallel network. The MPI-3 standard, in which Hoefler played a leading role, was adopted in 2012 and made possible many of the critical advances in HPC for simulations and AI applications over the past several years.

For MPI-3, Hoefler chaired both the “Process Topologies” and “Collective Operations” working groups. His nonblocking collective operations such as Allreduce, Allgather, Bcast, and their respective blocking versions are included in various collective communication libraries—even beyond MPI-3. These operations power the core of distributed deep learning today.

3D Parallelism
Hoefler was among the first to develop and discover the now well-known notion of “3D parallelism,” which drives infrastructure design for the whole AI industry. Subsequently, he and his collaborators continued to develop many innovative techniques for efficient pipelining, sparse communication, model sparsity, and quantization. This work has enabled a cumulative 10-1000x acceleration of AI workloads in modern computers.

Routing Protocols and Network Topologies
The low-level network routing protocols and network topologies that Hoefler and his colleagues developed for networks such as Myrinet and InfiniBand power thousands of AI and HPC supercomputers. These contributions form central pieces of modern high-performance AI systems that are used to train large-language models such as ChatGPT.

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Torsten Hoefler is a Professor of Computer Science at ETH Zurich (the Swiss Federal Institute of Technology), where he serves as Director of the Scalable Parallel Computing Laboratory. He is also the Chief Architect for AI and Machine Learning at the Swiss National Supercomputing Centre (CSCS). Hoefler received a Diplom Informatik (Master of Computer Science) from Chemnitz University of Technology and a PhD in Computer Science from Indiana University.

Hoefler’s honors include the Max Planck-Humboldt Medal, an award for outstanding mid-career scientists; the IEEE CS Sidney Fernbach Award, which recognizes outstanding contributions in the application of high-performance computers; and the ACM Gordon Bell Prize, which recognizes outstanding achievement in high-performance computing. He is a member of the European Academy of Sciences (Academia Europaea), a Fellow of IEEE, and a Fellow of ACM.