Publications by Jacob Wahlgren
Peer reviewed
Conference papers
[1]
G. Schieffer et al., "Boosting the Performance of Object Tracking with a Half-Precision Particle Filter on GPU," in Euro-Par 2023: Parallel Processing Workshops - Euro-Par 2023 International Workshops, Limassol, Cyprus, August 28 – September 1, 2023, Revised Selected Papers, 2024, pp. 294-305.
[2]
I. B. Peng et al., "OpenCUBE: Building an Open Source Cloud Blueprint with EPI Systems," in Euro-Par 2023: Parallel Processing Workshops - Euro-Par 2023 International Workshops, 2023, Revised Selected Papers, 2024, pp. 260-264.
[3]
D. Araújo De Medeiros et al., "A GPU-Accelerated Molecular Docking Workflow with Kubernetes and Apache Airflow," in High Performance Computing : ISC High Performance 2023 International Workshops, Revised Selected Papers, 2023, pp. 193-206.
[4]
J. Wahlgren et al., "A Quantitative Approach for Adopting Disaggregated Memory in HPC Systems," in Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, SC 2023, 2023.
[5]
D. Araújo De Medeiros et al., "Kub : Enabling Elastic HPC Workloads on Containerized Environments," in Proceedings of the 35th International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD), 2023.
[6]
J. Faj et al., "Quantum Computer Simulations at Warp Speed : Assessing the Impact of GPU Acceleration," in Proceedings 2023 IEEE 19th International Conference on e-Science, e-Science 2023, 2023.
[7]
J. Wahlgren, M. Gokhale and I. B. Peng, "Evaluating Emerging CXL-enabled Memory Pooling for HPC Systems," in 2022 IEEE/ACM WORKSHOP ON MEMORY CENTRIC HIGH PERFORMANCE COMPUTING, MCHPC, 2022, pp. 11-20.
Non-peer reviewed
Other
[8]
N. Jansson et al., "Design of Neko - A Scalable High-Fidelity Simulation Framework with Extensive Accelerator Support," (Manuscript).
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2024-07-17 11:25:50