Tradeoffs in designing accelerator architectures for visual computing. - Aqeel Mahesri; Daniel R. Johnson; Neal Clayton Crago; Sanjay J. Patel (MICRO, 2008)

Rigel: an architecture and scalable programming interface for a 1000-core accelerator. - John H. Kelm; Daniel R. Johnson; Matthew R. Johnson 003; Neal Clayton Crago; William Tuohy; Aqeel Mahesri; Steven S. Lumetta; Matthew I. Frank; Sanjay J. Patel (ISCA, 2009)

Decoupled Architectures as a Low-Complexity Alternative to Out-of-order Execution. - Neal Clayton Crago; Sanjay J. Patel (PACT, 2011)

OUTRIDER: efficient memory latency tolerance with decoupled strands. - Neal Clayton Crago; Sanjay J. Patel (ISCA, 2011)

Developing a parallel computational implementation of AMOEBA. - Michael J. Widener; Neal Clayton Crago; Jared Aldstadt (Int. J. Geogr. Inf. Sci., 2012)

Energy-efficient latency tolerance for 1000-core data parallel processors with decoupled strands - Neal Clayton Crago (2012)

Hybrid latency tolerance for robust energy-efficiency on 1000-core data parallel processors. - Neal Clayton Crago; Omid Azizi; Steven S. Lumetta; Sanjay J. Patel (HPCA, 2013)

Triggered instructions: a control paradigm for spatially-programmed architectures. - Angshuman Parashar; Michael Pellauer; Michael Adler; Bushra Ahsan; Neal Clayton Crago; Daniel Lustig; Vladimir Pavlov; Antonia Zhai; Mohit Gambhir; Aamer Jaleel; Randy L. Allmon; Rachid Rayess; et al. (ISCA, 2013)

Exploiting spatial architectures for edit distance algorithms. - Jesmin Jahan Tithi; Neal Clayton Crago; Joel S. Emer (ISPASS, 2014)

Efficient Spatial Processing Element Control via Triggered Instructions. - Angshuman Parashar; Michael Pellauer; Michael Adler; Bushra Ahsan; Neal Clayton Crago; Daniel Lustig; Vladimir Pavlov; Antonia Zhai; Mohit Gambhir; Aamer Jaleel; Randy L. Allmon; Rachid Rayess; et al. (IEEE Micro, 2014)

Efficient Control and Communication Paradigms for Coarse-Grained Spatial Architectures. - Michael Pellauer; Angshuman Parashar; Michael Adler; Bushra Ahsan; Randy L. Allmon; Neal Clayton Crago; Kermin Fleming; Mohit Gambhir; Aamer Jaleel; Tushar Krishna; Daniel Lustig; Stephen Maresh; et al. (ACM Trans. Comput. Syst., 2015)

Buffets: An Efficient and Composable Storage Idiom for Explicit Decoupled Data Orchestration. - Michael Pellauer; Yakun Sophia Shao; Jason Clemons; Neal Clayton Crago; Kartik Hegde; Rangharajan Venkatesan; Stephen W. Keckler; Christopher W. Fletcher; Joel S. Emer (ASPLOS, 2019)

ExTensor: An Accelerator for Sparse Tensor Algebra. - Kartik Hegde; Hadi Asghari Moghaddam; Michael Pellauer; Neal Clayton Crago; Aamer Jaleel; Edgar Solomonik; Joel S. Emer; Christopher W. Fletcher (MICRO, 2019)

Exposing Memory Access Patterns to Improve Instruction and Memory Efficiency in GPUs. - Neal Clayton Crago; Mark Stephenson; Stephen W. Keckler (ACM Trans. Archit. Code Optim., 2019)

P-OPT: Practical Optimal Cache Replacement for Graph Analytics. - Vignesh Balaji; Neal Clayton Crago; Aamer Jaleel; Brandon Lucia (HPCA, 2021)

Accelerating Sparse Data Orchestration via Dynamic Reflexive Tiling. - Toluwanimi O. Odemuyiwa; Hadi Asghari Moghaddam; Michael Pellauer; Kartik Hegde; Po-An Tsai; Neal Clayton Crago; Aamer Jaleel; John D. Owens; Edgar Solomonik; Joel S. Emer; Christopher W. Fletcher (ASPLOS (3), 2023)

Accelerating Sparse Data Orchestration via Dynamic Reflexive Tiling (Extended Abstract). - Toluwanimi O. Odemuyiwa; Hadi Asghari Moghaddam; Michael Pellauer; Kartik Hegde; Po-An Tsai; Neal Clayton Crago; Aamer Jaleel; John D. Owens; Edgar Solomonik; Joel S. Emer; Christopher W. Fletcher (HOPC@SPAA, 2023)

Community-based Matrix Reordering for Sparse Linear Algebra Optimization. - Vignesh Balaji; Neal Clayton Crago; Aamer Jaleel; Stephen W. Keckler (ISPASS, 2023)

Symphony: Orchestrating Sparse and Dense Tensors with Hierarchical Heterogeneous Processing. - Michael Pellauer; Jason Clemons; Vignesh Balaji; Neal Clayton Crago; Aamer Jaleel; Donghyuk Lee; Mike O'Connor; Anghsuman Parashar; Sean Treichler; Po-An Tsai; Stephen W. Keckler; Joel S. Emer (ACM Trans. Comput. Syst., 2023)

WASP: Exploiting GPU Pipeline Parallelism with Hardware-Accelerated Automatic Warp Specialization. - Neal Clayton Crago; Sana Damani; Karthikeyan Sankaralingam; Stephen W. Keckler (HPCA, 2024)

Kitsune: Enabling Dataflow Execution on GPUs. - Michael Davies; Neal Clayton Crago; Karthikeyan Sankaralingam; Stephen W. Keckler (CoRR, 2025)

Efficient LLM Inference: Bandwidth, Compute, Synchronization, and Capacity are all you need. - Michael Davies; Neal Clayton Crago; Karthikeyan Sankaralingam; Christos Kozyrakis (CoRR, 2025)