List of Publications - Plasma-PEPSC

Index	Title	Authors	Download
1	Leveraging HPC Profiling & Tracing Tools to Understand the Performance of Particle-in-Cell Monte Carlo Simulations	Williams, J. J., Tskhakaya, D., Costea, S., Peng, I. B., Garcia-Gasulla, M., and Markidis, S.	PDF
2	Optimizing BIT1, a Particle-in-Cell Monte Carlo Code, with OpenMP/OpenACC and GPU Acceleration	Williams, J. J., Liu, F., Tskhakaya, D., Costea, S., Podolnik, A., and Markidis, S.	PDF
3	Enabling High-Throughput Parallel I/O in Particle-in-Cell Monte Carlo Simulations with openPMD and Darshan I/O Monitoring	Williams, J. J., Medeiros, D., Costea, S., Tskhakaya, D., Poeschel, F., Widera, R., Huebl, A., Klasky, S., Podhorszki, N., Kos, L., Podolnik, A., Hromadka, J., Narwal, T., Steiniger, K., Bussmann, M., Laure, E., and Markidis S.	PDF
4	Understanding the Impact of openPMD on BIT1, a Particle-in-Cell Monte Carlo Code, through Instrumentation, Monitoring, and In-Situ Analysis	Williams, J. J., Costea, S, Malony, A. D., Tskhakaya, S., Kos, L., Podolnik, A., Hromadka, J., Huck, K., Laure, E., Markidis, S.	PDF
5	Understanding Large-Scale Plasma Simulation Challenges for Fusion Energy on Supercomputers	Williams, J.J., Bhole, A., Kierans, D., Hoelzl, M., Holod, I., Tang, W., Tskhakaya, D., Costea, S., Kos, L., Podolnik, A. and Hromadka, J., Team, JOREK, Laure, E., and Markidis, S.	PDF
6	MPI Performance Analysis in Vlasiator: Unraveling Communication Bottlenecks	Faj, J., Williams, J.J., Peng, I.B., Ganse, U., Battarbee, M., Pfau-Kempf, Y., Kotipalo, L., Palmroth, M., and Markidis, S.	PDF
7	Porting the grid-based 3D+ 3V hybrid-Vlasov kinetic plasma simulation Vlasiator to heterogeneous GPU architectures	Battarbee, M., Papadakis, K., Ganse, U., Hokkanen, J., Kotipalo, L., Pfau-Kempf, Y., Alho, M. and Palmroth, M.	PDF
8	Harnessing Integrated CPU-GPU System Memory for HPC: a first look into Grace Hopper	Schieffer, G., Wahlgren, J., Ren, J., Faj, J., & Peng, I.	PDF
9	Integration of Modern HPC Performance Tools in Vlasiator for Exascale Analysis and Optimization	Coti, C., Pfau-Kempf, Y., Battarbee, M., Ganse, U., Shende, S., Huck, K., Rodriquez, J., Kotipalo, L., Faj, J., Williams, J.J., Peng, I., Malony, A. D., Markidis, S., and Palmroth M.	PDF
10	Integration of Modern HPC Performance Analysis in Vlasiator for Sustained Exascale	Coti, C., Malony, A. D., Shende, S., Huck, K., Rodriquez, J., Pfau-Kempf, Y., Battarbee, M., Ganse, U. and Palmroth, M.	PDF
11	Non-Blocking GPU-CPU Notifications to Enable More GPU-CPU Parallelism	Elis B., Pearce O., Boehme D., Burmark J., and Schulz M.	PDF
12	Quantum Computer Simulations at Warp Speed: Assessing the Impact of GPU Acceleration: A Case Study with IBM Qiskit Aer, Nvidia Thrust & cuQuantum	Faj J, Peng I, Wahlgren J, and Markidis S.	PDF
13	Programming Quantum Neural Networks on NISQ Systems: An Overview of Technologies and Methodologies	Markidis S.	PDF
14	Enabling Quantum Computer Simulations on AMD GPUs: a HIP Backend for Google’s qsim	Markidis S.	PDF
15	Dynamic Resource Management for In-Situ Techniques Using MPI-Sessions	Ju Y., Huber, D., Perez A., Ulbl P., Markidis S., Schlatter P., Schulz M., Schreiber M., and Laure E.	PDF