News

• June 2025: Our NSF proposal with Satish Puri and Cris Ababei “Collaborative Research: OAC Core: Exploiting SmartSSD-based Computational Storage Architectures for Large Scale Similarity and Range Searches” has been awarded! The project will examine performing similarity searches and range queries among other memory/IO-bound workloads on computational storage devices.
• June 2025: Brian Curless’s paper “Fast and Scalable Mixed Precision Euclidean Distance Calculations Using GPU Tensor Cores” was accepted for publication at the 54th International Conference on Parallel Processing. Congrats, Brian!
• June 2025: Brian’s paper won Best Paper Award at the IEEE International Workshop on Accelerators and Hybrid Emerging Systems (AsHES) co-located with IPDPS 2025. Congrats Brian!
• May 2025: I retired the picture on my website, which was 14 years out of date (captured circa 2011). My new picture is only 8 years out of date.
• May 2025: Our NASA proposal “Early Solar System science with LSST” was selected for funding. Congrats SNAPS team!
• February 2025: Brian’s paper “Performance Characterization of Parallel Combination Generators on CPU and GPU Systems” has been accepted for publication at The Fifteenth International Workshop on Accelerators and Hybrid Emerging Systems (AsHES), co-located with IPDPS 2025.
• September 2024: Two papers were accepted to the 31st IEEE International Conference on High Performance Computing, Data, and Analytics (HiPC 2024). Congrats Brian and Revanth!
  • Brian’s paper: “Multi-Space Tree with Incremental Construction for GPU-Accelerated Range Queries”
  • Revanth’s paper: “GDBOD: Density-Based Outlier Detection Exploiting Efficient Tree Traversals on the GPU”
• August 2024: NAU students, I’m scheduled to teach the following courses in Spring 2025 (I’m not teaching in Fall 2024):
  • CS450: Parallel Programming
  • CS552: High Performance Computing
• July 2024: Our NSF proposal with Satish Puri “Collaborative Research: OAC Core: Efficient Indexing and Similarity Searches Exploiting Processing-in-Memory Architectures for Memory-Bound Scientific Workloads” has been awarded! The project will examine using processing-in-memory architectures to improve the performance of data-intensive workloads in astronomy and other application domains.
• May 2024: Revanth Munugala won the Outstanding Graduate Student for Computer Science award. Congrats Revanth!
• September 2023: I’m teaching a new undergraduate class on general purpose computing on graphics processing units (GPGPU) in Spring 2024. The course is CS453: GPU Programming.
• June 2023: Our paper “Evaluating Accelerators for a High-Throughput Hash-Based Security Protocol” has been accepted for publication at the International Workshop on Deployment and Use of Accelerators (DUAC), co-located with ICPP 2023. Congrats Kaitlyn and Brian!
• May 2023: Our five year project with LLNL “Research Opportunities in Data-Intensive Parallel Computing” has been awarded.
• May 2023: NAU news article on our Arizona Tree Stress Explorer and Alert System: “When trees are stressed, can they tell us?” [Link to NAU News]
• April 2023: Daniel’s paper “Removing Aliases in Time-Series Photometry” was accepted for publication in Astronomy \& Computing. Congrats Daniel!
• January 2023: An article on our Spring 2023 Astroinformatics Bootcamp was reported in the AZ Daily Sun. [Link to the AZ Daily Sun]
• January 2023: An article on our recently funded project “The Arizona Tree Stress Explorer and Alert System” was reported in the AZ Daily Sun. [Link to the AZ Daily Sun]
• September 2022: Benoit’s paper “Leveraging GPU Tensor Cores for Double Precision Euclidean Distance Calculations” has been accepted to the 29th IEEE International Conference on High Performance Computing, Data, and Analytics (HiPC 2022). Congrats Benoit!
• September 2022: Read about our astroinformatics bootcamp in the article “How an astroinformatics bootcamp is making the universe accessible” [See the NAU press release]
• August 2022: Our NSF project “Rapid response asteroid science from ZTF and LSST data” has been selected for funding. [NSF Award Abstract]

Prospective Students

• I’m seeking highly motivated students interested in research at the BS, MS, or PhD levels. Topics include: Parallel and high performance computing, general purpose computing on graphics processing units, cybersecurity, astronomy, and astrobiology. Send me an e-mail if you have any questions.