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Researchers at universities, national laboratories and companies use the Cerebras SDK to write CSL programs for the Wafer-Scale Engine. This page lists the work we know of, newest first. Each entry links to the published record and includes BibTeX for citing it.
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2026

An MLIR Lowering Pipeline for Stencils at Wafer-Scale
Nicolai Stawinoga, David Katz, Anton Lydike, Justs Zarins, Nick Brown, George Bisbas, Tobias Grosser
ASPLOS ‘26, pp. 94–109 · arXiv
Conference paper · Compilers, languages and tools · WSE-2, WSE-3 · TU Berlin, University of Edinburgh (EPCC), Imperial College London, University of Cambridge
Designing Domain-Specific Compilers for Lossy Compression: A Case Study on Wafer-Scale Engine
Shihui Song, Robert Underwood, Sheng Di, Peng Jiang, Franck Cappello
IPDPS 2026, pp. 1091–1104
Conference paper · Compilers, languages and tools
GLOW: Accelerating Geometric Multigrid Layers on Cerebras Wafer-Scale Engine
Sameeran Joshi, Oscar Antepara, Samuel Williams, Hans Johansen, Mary Hall
SC26
Conference paper · Stencils and PDEs · WSE-3 · University of Utah, LBNL
LLM Agents Meet Lossy Compression: Benchmark, Demystify, and Optimize Across HPC Architectures
Changqing Li, Sheng Di, Kai Zhao, Wenqian Dong
SC26
Conference paper · Compilers, languages and tools · Oregon State University, ANL, University of Florida
MeshRT: Compile-Time Governed Wafer-Scale Runtime for Low-Latency High-Throughput Inference
Congjie He, Le Xu, Zhan Lu, Yeqi Huang, Haocheng Xiao, Cheng Deng, Lingxiao Ma, Ziming Miao, Fan Yang, Luo Mai
SOSP ‘26, pp. 1122–1138 · arXiv
Conference paper · AI and LLM inference · CS-3 · University of Edinburgh, Microsoft Research
SpaDA: A Spatial Dataflow Architecture Programming Language
Lukas Gianinazzi, Tal Ben-Nun, Torsten Hoefler
SC26 · arXiv
Conference paper · Compilers, languages and tools · WSE-2 · ETH Zurich, LLNL
Wavel: A Fast and Efficient Compilation System for Wafer-Scale Accelerators
Yeqi Huang, Congjie He, Haocheng Xiao, Yanwei Ye, Yi-Chieh Wang, Boyao Song, Yangshen Deng, Ziming Miao, Lingxiao Ma, Fan Yang, Luo Mai
SOSP ‘26, pp. 1107–1121
Conference paper · Compilers, languages and tools · WSE-3 · University of Edinburgh, Microsoft Research
Characterizing Effective Compute, Memory, and Communication Performance on Cerebras WSE-2
Takaaki Miyajima, Leon Fukuoka
Journal of Information Processing, vol. 34, pp. 1072–1083
Journal article · Communication and collectives · CS-2 · Meiji University
Single-precision Matrix Multiplication Performance on Cerebras CS-2: Evaluation and Modelling of Performance, Scalability and Energy Efficiency
Takaaki Miyajima, Ryunosuke Matsuzaki, Daichi Mukunoki
Journal of Information Processing, vol. 34, pp. 132–139
Journal article · Linear algebra and sparse methods · CS-2 · Meiji University, Nagoya University
Evaluating LLM Coding Agents on SZ-Family Lossy Compression Across Architectures
Changqing Li, Shouwei Gao, Kai Zhao, Sheng Di, Wenqian Dong
IPDPS 2026 Workshops: HPAI4S, pp. 672–676 · arXiv
Workshop paper · Compilers, languages and tools · CS-3 · Oregon State University, Florida State University, ANL
Exploring Sparse Matrix Multiplication Operations on Cerebras CS-3 Platforms
Milan Shah, Sheng Di, Michela Becchi
SC26 Workshops: IA³ 2026 · arXiv
Workshop paper · Linear algebra and sparse methods · CS-3 · North Carolina State University, ANL
Fabrica: Agentic CUDA-to-CSL Translation and Optimization for Wafer-Scale Systems
Yuebo Luo, Eliu Huerta, Venkatram Vishwanath, Caiwen Ding, Rajeev Thakur, Le Chen
SC26 Workshops: AgenticAI4HPC’26 · arXiv
Workshop paper · Compilers, languages and tools · WSE-3 · University of Minnesota Twin Cities, ANL
Performance comparison and analysis of macroscopic cross section lookup kernel on Cerebras CS-3 and NVIDIA GPUs
Reo Nagashima, Akeru Nakamura, John R. Tramm, Takaaki Miyajima
SC26 Workshops: PMBS26
Workshop paper · Monte Carlo and particle methods · CS-3 · Meiji University, ANL
Wafer Scale Acceleration of Unstructured Finite Element Methods
Emma Urquhart
SC26 Workshops: H2RC 2026
Workshop paper · Stencils and PDEs · University of Cambridge
A Linear-Scaling, Sparse Matrix Electronic Structure Solver on the Cerebras Wafer-Scale Engine
Md Sabbir Hossain Polak, Anthony Gatti, Anders M. N. Niklasson, Benjamin S. Southworth, Joshua Finkelstein
SC26 Research Posters
Poster · Linear algebra and sparse methods · CS-3 · University of Mississippi, University of Pittsburgh, LANL
A Naive D3Q27 Lattice Boltzmann Implementation on the Cerebras CS-3: Comparison with GPUs
Kouki Sakai, Saho Orihara, Takashi Shimokawabe, Takaaki Miyajima
SC26 Research Posters
Poster · Stencils and PDEs · CS-3 · Meiji University, The University of Tokyo
Algebraic Breadth-First Search on the Cerebras Wafer-Scale Engine
Elia Belli, Daniele De Sensi
SC26 ACM Student Research Competition Posters
Poster · Linear algebra and sparse methods · WSE-3 · Sapienza University of Rome
Exploring Tree-Based Approaches for Collective Communications on Cerebras WSE-3
Saverio Pasqualoni, Marco Canini, Daniele De Sensi
SC26 ACM Student Research Competition Posters
Poster · Communication and collectives · WSE-3 simulator · KAUST, Sapienza University of Rome
Load Balancing and Communication Bottlenecks in SpMV on the Cerebras WSE-3
Saho Orihara, Kouki Sakai, Reo Nagashima, Takaaki Miyajima
SC26 Research Posters
Poster · Linear algebra and sparse methods · CS-3 · Meiji University
Sparse Matrix-Vector Multiplication on Cerebras WSE-3
Zenchang Sun, Arman Margarian, Jefferson Zhou, Giulia Guidi
SC26 Research Posters
Poster · Linear algebra and sparse methods · WSE-3 · Cornell University
Stencil Computations on Cerebras Wafer-Scale Engine
Elia Belli, Daniele De Sensi
arXiv preprint arXiv:2605.07954
Preprint · Stencils and PDEs · CS-3 and simulator · Sapienza University of Rome
Unstructured Hydrodynamics on Spatial Dataflow Architectures: A Joint Code and Data Decomposition Approach
Piotr Luczynski, Tal Ben-Nun, Leighton Wilson, Brian Van Essen
arXiv preprint arXiv:2607.18650
Preprint · Stencils and PDEs · CS-2 · LLNL, Cerebras Systems

2025

A Memory-Efficient and Computation-Balanced Lossy Compressor on Wafer-Scale Engine
Shihui Song, Robert Underwood, Sheng Di, Yafan Huang, Peng Jiang, Franck Cappello
IPDPS 2025
Conference paper · Data compression · University of Iowa, ANL
A Scalable Trie Building Algorithm for High-Throughput Phyloanalysis of Wafer-Scale Digital Evolution Experiments
Vivaan Singhvi, Joey Wagner, Emily Dolson, Luis Zaman, Matthew Andres Moreno
ALIFE 2025, art. 62 · arXiv
Conference paper · Life sciences and evolution · CS-2 · University of Michigan, Michigan State University
WaferLLM: Large Language Model Inference at Wafer Scale
Congjie He, Yeqi Huang, Pei Mu, Ziming Miao, Jilong Xue, Lingxiao Ma, Fan Yang, Luo Mai
OSDI ‘25, pp. 257–273 · arXiv
Conference paper · AI and LLM inference · WSE-2 · University of Edinburgh, Microsoft Research
Slide FFT on a homogeneous mesh in wafer-scale computing
Maurice H. P. M. van Putten, Leighton Wilson, Adam Lavely, Mark Hair
Discover Computing, vol. 28, art. 16 · arXiv
Journal article · FFT and signal processing · CS-2 · Sejong University, Cerebras Systems, LBNL
Benchmarking the Cerebras Wafer Scale Engine-2 Architecture
Takaaki Miyajima, Leon Fukuoka
SC25 Workshops: IA³ 2025, pp. 818–822
Workshop paper · Communication and collectives · CS-2 · Meiji University
csDF: A Double-Float Arithmetic Library for the Cerebras CS-2
Reo Nagashima, Akeru Nakamura, Kai Murakami, Ryunosuke Matsuzaki, Daichi Mukunoki, Takaaki Miyajima
SC25 Posters
Poster · Linear algebra and sparse methods · CS-2 · Meiji University, Nagoya University
Wafer-Scale Simulation of Mutator Allele Dynamics in Large Asexual Populations
Matthew Andres Moreno, Emily Dolson, Luis Zaman
SC25 Posters
Poster · Life sciences and evolution · CS-2 · University of Michigan, Michigan State University
Downstream: efficient cross-platform algorithms for fixed-capacity stream downsampling
Connor Yang, Joey Wagner, Emily Dolson, Luis Zaman, Matthew Andres Moreno
arXiv preprint arXiv:2506.12975
Preprint · Life sciences and evolution · University of Michigan, Michigan State University

2024

Automated Code Generation of High-Order Stencils for a Dataflow Architecture
Ryuichi Sai, John Mellor-Crummey, Jinfan Xu, Mauricio Araya-Polo
SC24
Conference paper · Compilers, languages and tools · Rice University, TotalEnergies
CereSZ: Enabling and Scaling Error-bounded Lossy Compression on Cerebras CS-2
Shihui Song, Yafan Huang, Peng Jiang, Xiaodong Yu, Weijian Zheng, Sheng Di, Qinglei Cao, Yunhe Feng, Zhen Xie, Franck Cappello
HPDC ‘24, pp. 309–321
Conference paper · Data compression · CS-2 · University of Iowa, Stevens Institute of Technology, ANL, Saint Louis University, University of North Texas, Binghamton University
Matrix-Free Finite Volume Kernels on a Dataflow Architecture
Ryuichi Sai, François P. Hamon, John Mellor-Crummey, Mauricio Araya-Polo
SC24 · arXiv
Conference paper · Stencils and PDEs · CS-2 · Rice University, TotalEnergies
Monte Carlo with Single-Cycle Latency: Optimization of a Continuous Energy Cross Section Lookup Kernel for AI Accelerator Hardware
John Tramm, Bryce Allen, Kazutomo Yoshii, Andrew Siegel
PHYSOR 2024, pp. 1694–1702
Conference paper · Monte Carlo and particle methods · ANL
Near-Optimal Wafer-Scale Reduce
Piotr Luczynski, Lukas Gianinazzi, Patrick Iff, Leighton Wilson, Daniele De Sensi, Torsten Hoefler
HPDC ‘24, pp. 334–347 · arXiv
Conference paper · Communication and collectives · CS-2 · ETH Zurich, Cerebras Systems, Sapienza University of Rome
Trackable Agent-based Evolution Models at Wafer Scale
Matthew Andres Moreno, Connor Yang, Emily Dolson, Luis Zaman
ALIFE 2024 · arXiv
Conference paper · Life sciences and evolution · CS-2 · University of Michigan, Michigan State University
Trackable Island-model Genetic Algorithms at Wafer Scale
Matthew Andres Moreno, Connor Yang, Emily Dolson, Luis Zaman
GECCO ‘24 Companion, pp. 101–102 · arXiv
Conference paper · Life sciences and evolution · CS-2 · University of Michigan, Michigan State University
Efficient algorithms for Monte Carlo particle transport on AI accelerator hardware
John Tramm, Bryce Allen, Kazutomo Yoshii, Andrew Siegel, Leighton Wilson
Computer Physics Communications, vol. 298, art. 109072 · arXiv
Journal article · Monte Carlo and particle methods · CS-2 · ANL, University of Chicago, Cerebras Systems
Performance evaluation and modelling of single-precision matrix multiplication on Cerebras CS-2
Ryunosuke Matsuzaki, Daichi Mukunoki, Takaaki Miyajima
SC24 Workshops: IA³ 2024, pp. 727–731
Workshop paper · Linear algebra and sparse methods · CS-2 · Meiji University

2023

Scaling the “Memory Wall” for Multi-Dimensional Seismic Processing with Algebraic Compression on Cerebras CS-2 Systems
Hatem Ltaief, Yuxi Hong, Leighton Wilson, Mathias Jacquelin, Matteo Ravasi, David Elliot Keyes
SC23, ACM Gordon Bell Prize finalist
Conference paper · Linear algebra and sparse methods · 48 CS-2 systems · KAUST, Cerebras Systems
Wafer-Scale Fast Fourier Transforms
Marcelo Orenes-Vera, Ilya Sharapov, Robert Schreiber, Mathias Jacquelin, Philippe Vandermersch, Sharan Chetlur
ICS ‘23, pp. 180–191 · arXiv
Conference paper · FFT and signal processing · CS-2 · Princeton University, Cerebras Systems
Massively Distributed Finite-Volume Flux Computation
Ryuichi Sai, Mathias Jacquelin, Francois Hamon, Mauricio Araya-Polo, Randolph R. Settgast
SC23 Workshops: ScalAH’23, pp. 1713–1720 · arXiv
Workshop paper · Stencils and PDEs · CS-2 · TotalEnergies, Rice University, Cerebras Systems, LLNL
A Portable Framework for Accelerating Stencil Computations on Modern Node Architectures
Ryuichi Sai, John Mellor-Crummey, Jinfan Xu, Mauricio Araya-Polo
arXiv preprint arXiv:2309.04671
Preprint · Compilers, languages and tools · CS-2 · Rice University, TotalEnergies

2022

Scalable Distributed High-Order Stencil Computations
Mathias Jacquelin, Mauricio Araya-Polo, Jie Meng
SC22 · arXiv
Conference paper · Stencils and PDEs · CS-2 · Cerebras Systems, TotalEnergies