GPAI - General Purpose AI Computing: Publications

GPAI - General Purpose AI Computing: Publications

Journal articles

J. Keller, S. Litzinger, and C. Kessler, "Integrating Energy-Optimizing Scheduling of Moldable Streaming Tasks with Design Space Exploration for Multiple Core Types on Configurable Platforms," Journal of Signal Processing Systems, vo. 94, pp. 849-864, 2022. https://doi.org/10.1007/s11265-022-01787-y

L. Lundberg and H. Grahn, "Research Trends, Enabling Technologies and Application Areas for Big Data," Algorithms, 15(8):280, August 2022. doi: https://doi.org/10.3390/a15080280

C. Åleskog, H. Grahn, and A. Borg, "Recent Developments in Low-Power AI Accelerators: A Survey," Algorithms, 15(11):419, November 2022. doi: https://doi.org/10.3390/a15110419

A. Ernstsson, D. Griebler, and C. Kessler, "Assessing Application Efficiency and Performance Portability in Single-Source Programming for Heterogeneous Parallel Systems," International Journal of Parallel Programming, Volume 51, pages 61–82, 2023. https://doi.org/10.1007/s10766-022-00746-1

S. Litzinger, J. Keller, and C. Kessler, "Packing Multiple Types of Cores for Energy-Optimized Heterogeneous Hardware-Software Co-Design of Moldable Streaming Computations," in IEEE Access, vol. 11, pp. 19301-19311, 2023. https://doi.org/10.1109/ACCESS.2023.3248283

Peer-reviewed Conference and Workshop papers

C. Kessler, J. Keller, and S. Litzinger, "Temperature-Aware Energy-Optimal Scheduling of Moldable Streaming Tasks onto 2D-Mesh-Based Many-Core CPUs with DVFS," Proc. 24th Workshop on Job Scheduling Strategies for Parallel Processing (JSSPP 2021) in conjunction with IPDPS 2021, Portland, Oregon USA, 21 May 2021, Springer LNCS.

C. Åleskog, H. Grahn, and A. Borg, "A Comparative Study on Simulation Frameworks for AI Accelerator Evaluation," in 14th International Workshop on Accelerators and Hybrid Emerging Systems (AsHES), May 2024.