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Scott Lloyd

Associate Professor

Office: 450L EB


Scott Lloyd received a Ph.D. in Computer Science from Brigham Young University and has broad experience in industry. His most recent work at Lawrence Livermore National Laboratory involved research with advanced memory systems and accelerators. Scott co-founded a parallel-processing company (which became Linux Networx), worked with diagnostic imaging at GE Medical Systems, and investigated processor-in-memory architecture at Micron Technology. His research interests include high-performance computing, near-memory accelerators, computer architecture, and reconfigurable computing.


  • Z. Wu, M. Gokhale, S. Lloyd and H. Patel, “SCCL: An Open-Source SystemC to RTL Translator,” Proceedings of FCCM, IEEE, 1-10, May 2023. doi:10.1109/FCCM57271.2023.00012
  • M. Barrow, Z. Wu, S. Lloyd, M. Gokhale, H. Patel and P. Lindstrom, “ZHW: A Numerical CODEC for Big Data Scientific Computation,” Proceedings of ICFPT, IEEE, 1-9, December 2022. doi:10.1109/ICFPT56656.2022.9974258
  • A. Jain, S. Lloyd and M. Gokhale, “Performance Assessment of Emerging Memories Through FPGA Emulation,” IEEE Micro, vol. 39:1, 8-16, January/February 2019. doi:10.1109/MM.2018.2877291
  • S. Lloyd and M. Gokhale, “Design Space Exploration of Near Memory Accelerators,” Proceedings of MemSys, ACM, 218-220, October 2018. doi:10.1145/3240302.3240428
  • A. Jain, S. Lloyd and M. Gokhale, “Microscope on Memory: MPSoC-enabled Computer Memory System Assessments,” Proceedings of FCCM, IEEE, 173-180, May 2018. doi:10.1109/FCCM.2018.00035
  • P. Lindstrom, S. Lloyd and J. Hittinger, “Universal Coding of the Reals: Alternatives to IEEE Floating Point,” Proceedings of CoNGA, ACM, 5:1-5:14, March 2018. doi:10.1145/3190339.3190344
  • S. Lloyd and M. Gokhale, “Near Memory Key/Value Lookup Acceleration,” Proceedings of MemSys, ACM, 26-33, October 2017. doi:10.1145/3132402.3132434
  • S. Lloyd and M. Gokhale, “Evaluating the Feasibility of Storage Class Memory as Main Memory,” Proceedings of MemSys, ACM, 437-441, October 2016. doi:10.1145/2989081.2989118
  • M. Gokhale, S. Lloyd and C. Macaraeg, “Hybrid Memory Cube Performance Characterization on Data-centric Workloads,” Proceedings of IA^3, ACM, 7:1-7:8, November 2015. doi:10.1145/2833179.2833184
  • M. Gokhale, S. Lloyd and C. Hajas, “Near Memory Data Structure Rearrangement,” Proceedings of MemSys, ACM, 283-290, October 2015. doi:10.1145/2818950.2818986 (Best Paper)
  • S. Lloyd and M. Gokhale, “In-memory Data Rearrangement for Irregular, Data Intensive Computing,” IEEE Computer, vol. 48, 18-25, August 2015. doi:10.1109/MC.2015.230
  • S. Ames, D. Hysom, S. Gardner, S. Lloyd, M. Gokhale and J. Allen, “Scalable Metagenomic Taxonomy Classification Using a Reference Genome Database,” Bioinformatics, vol. 29, 2253-2260, 2013. doi:10.1093/bioinformatics/btt389
  • S. Lloyd and Q. Snell, “Accelerated Large-Scale Multiple Sequence Alignment,” BMC Bioinformatics, 12:466, 2011. doi:10.1186/1471-2105-12-466 (Highly Accessed)
  • S. Lloyd and Q. Snell, “Hardware Accelerated Sequence Alignment with Traceback,” International Journal of Reconfigurable Computing, vol. 2009, Article ID 762362, 10 pages, 2009. doi:10.1155/2009/762362
  • S. Lloyd and Q. Snell, “A Packet-Switched Network Architecture for Reconfigurable Computing,” ACM Trans. Embedd. Comput. Syst., 9, 1, Article 7, 17 pages, October 2009. doi:10.1145/1596532.1596539