Adaptation of Double-Precision Matrix Multiplication to the Cell Broadband Engine Architecture. - Krzysztof Rojek; Lukasz Szustak (PPAM (1), 2009)

Using Blue Gene/P and GPUs to Accelerate Computations in the EULAG Model. - Roman Wyrzykowski; Krzysztof Rojek; Lukasz Szustak (LSSC, 2011)

Parallelization of EULAG Model on Multicore Architectures with GPU Accelerators. - Krzysztof Rojek; Lukasz Szustak (PPAM (2), 2011)

Model-driven adaptation of double-precision matrix multiplication to the Cell processor architecture. - Roman Wyrzykowski; Krzysztof Rojek; Lukasz Szustak (Parallel Comput., 2012)

Towards Efficient Decomposition and Parallelization of MPDATA on Hybrid CPU-GPU Cluster. - Roman Wyrzykowski; Lukasz Szustak; Krzysztof Rojek; Adam Tomas (LSSC, 2013)

Performance Analysis for Stencil-Based 3D MPDATA Algorithm on GPU Architecture. - Krzysztof Rojek; Lukasz Szustak; Roman Wyrzykowski (PPAM (1), 2013)

Using Intel Xeon Phi Coprocessor to Accelerate Computations in MPDATA Algorithm. - Lukasz Szustak; Krzysztof Rojek; Pawel Gepner (PPAM (1), 2013)

Parallelization of 2D MPDATA EULAG algorithm on hybrid architectures with GPU accelerators. - Roman Wyrzykowski; Lukasz Szustak; Krzysztof Rojek (Parallel Comput., 2014)

Toward Parallel Modeling of Solidification Based on the Generalized Finite Difference Method Using Intel Xeon Phi. - Lukasz Szustak; Kamil Halbiniak; Adam Kulawik; Joanna Wróbel; Pawel Gepner (PPAM (1), 2015)

Adaptation of fluid model EULAG to graphics processing unit architecture. - Krzysztof Andrzej Rojek; Milosz Ciznicki; Bogdan Rosa; Piotr Kopta; Michal Kulczewski; Krzysztof Kurowski; Zbigniew Pawel Piotrowski; Lukasz Szustak; Damian Karol Wójcik; Roman Wyrzykowski (Concurr. Comput. Pract. Exp., 2015)

Model-based optimization of MPDATA on Intel Xeon Phi through load imbalancing. - Alexey L. Lastovetsky; Lukasz Szustak; Roman Wyrzykowski (CoRR, 2015)

Adaptation of MPDATA Heterogeneous Stencil Computation to Intel Xeon Phi Coprocessor. - Lukasz Szustak; Krzysztof Rojek; Tomasz Olas; Lukasz Kuczynski; Kamil Halbiniak; Pawel Gepner (Sci. Program., 2015)

Network-Aware Optimization of MPDATA on Homogeneous Multi-core Clusters with Heterogeneous Network. - Tania Malik; Lukasz Szustak; Roman Wyrzykowski; Alexey L. Lastovetsky (ICA3PP Workshops, 2016)

Using hStreams Programming Library for Accelerating a Real-Life Application on Intel MIC. - Lukasz Szustak; Kamil Halbiniak; Adam Kulawik; Roman Wyrzykowski; Piotr Uminski; Marcin Sasinowski (ICA3PP Workshops, 2016)

Islands-of-Cores Approach for Harnessing SMP/NUMA Architectures in Heterogeneous Stencil Computations. - Lukasz Szustak; Roman Wyrzykowski; Ondrej Jakl (PaCT, 2017)

Model-Based Optimization of EULAG Kernel on Intel Xeon Phi Through Load Imbalancing. - Alexey L. Lastovetsky; Lukasz Szustak; Roman Wyrzykowski (IEEE Trans. Parallel Distributed Syst., 2017)

How Pre-multicore Methods and Algorithms Perform in Multicore Era. - Alexey L. Lastovetsky; Muhammad Fahad 002; Hamidreza Khaleghzadeh; Semyon Khokhriakov; Ravi Reddy; Arsalan Shahid; Lukasz Szustak; Roman Wyrzykowski (ISC Workshops, 2018)

Porting and optimization of solidification application for CPU-MIC hybrid platforms. - Lukasz Szustak; Kamil Halbiniak; Lukasz Kuczynski; Joanna Wróbel; Adam Kulawik (Int. J. High Perform. Comput. Appl., 2018)

Assessment of offload-based programming environments for hybrid CPU-MIC platforms in numerical modeling of solidification. - Kamil Halbiniak; Roman Wyrzykowski; Lukasz Szustak; Tomasz Olas (Simul. Model. Pract. Theory, 2018)

Strategy for data-flow synchronizations in stencil parallel computations on multi-/manycore systems. - Lukasz Szustak (J. Supercomput., 2018)

Toward Heterogeneous MPI+MPI Programming: Comparison of OpenMP and MPI Shared Memory Models. - Lukasz Szustak; Roman Wyrzykowski; Kamil Halbiniak; Pawel Bratek (Euro-Par Workshops, 2019)

Performance Optimizations for Parallel Modeling of Solidification with Dynamic Intensity of Computation. - Kamil Halbiniak; Lukasz Szustak; Adam Kulawik; Pawel Gepner (PPAM (1), 2019)

Performance portable parallel programming of heterogeneous stencils across shared-memory platforms with modern Intel processors. - Lukasz Szustak; Pawel Bratek (Int. J. High Perform. Comput. Appl., 2019)

Unleashing the performance of ccNUMA multiprocessor architectures in heterogeneous stencil computations. - Lukasz Szustak; Kamil Halbiniak; Roman Wyrzykowski; Ondrej Jakl (J. Supercomput., 2019)

Performance enhancement of a dynamic K-means algorithm through a parallel adaptive strategy on multicore CPUs. - Giuliano Laccetti; Marco Lapegna; Valeria Mele; Diego Romano; Lukasz Szustak (J. Parallel Distributed Comput., 2020)

Correlation of Performance Optimizations and Energy Consumption for Stencil-Based Application on Intel Xeon Scalable Processors. - Lukasz Szustak; Roman Wyrzykowski; Tomasz Olas; Valeria Mele (IEEE Trans. Parallel Distributed Syst., 2020)

Heterogeneous Voltage Frequency Scaling of Data-Parallel Applications for Energy Saving on Homogeneous Multicore Platforms. - Pawel Bratek; Lukasz Szustak; Roman Wyrzykowski; Tomasz Olas; Tomasz Chmiel (Euro-Par Workshops, 2021)

Parallelization and Auto-scheduling of Data Access Queries in ML Workloads. - Pawel Bratek; Lukasz Szustak; Jaroslaw Zola (Euro-Par Workshops, 2021)

About the granularity portability of block-based Krylov methods in heterogeneous computing environments. - Luisa Carracciuolo; Valeria Mele; Lukasz Szustak (Concurr. Comput. Pract. Exp., 2021)

Dynamic workload prediction and distribution in numerical modeling of solidification on multi-/manycore architectures. - Kamil Halbiniak; Tomasz Olas; Lukasz Szustak; Adam Kulawik; Marco Lapegna (Concurr. Comput. Pract. Exp., 2021)

Exploration of OpenCL Heterogeneous Programming for Porting Solidification Modeling to CPU-GPU Platforms. - Kamil Halbiniak; Lukasz Szustak; Tomasz Olas; Roman Wyrzykowski; Pawel Gepner (Concurr. Comput. Pract. Exp., 2021)

Architectural Adaptation and Performance-Energy Optimization for CFD Application on AMD EPYC Rome. - Lukasz Szustak; Roman Wyrzykowski; Lukasz Kuczynski; Tomasz Olas (IEEE Trans. Parallel Distributed Syst., 2021)

Performance exploration of various C/C++ compilers for AMD EPYC processors in numerical modeling of solidification. - Kamil Halbiniak; Roman Wyrzykowski; Lukasz Szustak; Adam Kulawik; Norbert Meyer; Pawel Gepner (Adv. Eng. Softw., 2022)

Parallel Auto-Scheduling of Counting Queries in Machine Learning Applications on HPC Systems. - Pawel Bratek; Lukasz Szustak; Jaroslaw Zola (Euro-Par Workshops, 2023)

Reducing energy consumption using heterogeneous voltage frequency scaling of data-parallel applications for multicore systems. - Pawel Bratek; Lukasz Szustak; Roman Wyrzykowski; Tomasz Olas (J. Parallel Distributed Comput., 2023)

Profiling and optimization of Python-based social sciences applications on HPC systems by means of task and data parallelism. - Lukasz Szustak; Marcin Lawenda; Sebastian Arming; Gregor Bankhamer; Christoph Schweimer; Robert Elsässer (Future Gener. Comput. Syst., 2023)

Efficient Allocation of Image Recognition and LLM Tasks on Multi-GPU System. - Marcin Lawenda; Krzesimir Samborski; Kyrylo Khloponin; Lukasz Szustak (PPAM (3), 2024)

Special Issue on the pervasive nature of HPC (PN-HPC). - Marco Lapegna; Valeria Mele; Raffaele Montella; Lukasz Szustak (Concurr. Comput. Pract. Exp., 2024)

Large-Scale Parallelization of Human Migration Simulation. - Derek Groen; Nikela Papadopoulou; Petros Anastasiadis; Marcin Lawenda; Lukasz Szustak; Sergiy Gogolenko; Hamid Arabnejad; Alireza Jahani (IEEE Trans. Comput. Soc. Syst., 2024)

Advances in Adapting Memory-Bound CFD Computations to RISC-V Multicore Architecture. - Tomasz Olas; Lukasz Szustak; Roman Wyrzykowski; Mateusz Olas; Marco Lapegna (ICCS (3), 2025)

Profiling and Optimization of Multicard GPU Machine Learning Jobs. - Marcin Lawenda; Kyrylo Khloponin; Krzesimir Samborski; Lukasz Szustak (Concurr. Comput. Pract. Exp., 2025)

Prediction model of performance-energy trade-off for CFD codes on AMD-based cluster. - Marcin Lawenda; Lukasz Szustak; László Környei (Future Gener. Comput. Syst., 2025)

Evaluating the impact of the L3 cache size of AMD EPYC CPUs on the performance of CFD applications. - Marcin Lawenda; Lukasz Szustak; László Környei; Flavio Cesar Cunha Galeazzo; Pawel Bratek (CoRR, 2025)

Profiling and optimization of multi-card GPU machine learning jobs. - Marcin Lawenda; Kyrylo Khloponin; Krzesimir Samborski; Lukasz Szustak (CoRR, 2025)