| 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. | |
| 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. | |
| 3 | 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. | |
| 4 | Non-Blocking GPU-CPU Notifications to Enable More GPU-CPU Parallelism | Elis B, Pearce O, Boehme D, Burmark J, and Schulz M. | |
| 5 | 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. | |
| 6 | Programming Quantum Neural Networks on NISQ Systems: An Overview of Technologies and Methodologies | Markidis S. | |
| 7 | Enabling Quantum Computer Simulations on AMD GPUs: a HIP Backend for Google’s qsim | Markidis S. |
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