Po uzyskaniu stopnia doktora habilitowanego (#15 JCR):

• M. Lawenda, L. Szustak and L. Környei, Prediction model of performance-energy trade-off for CFD codes on AMD-based cluster, Future Generation Computer Systems, vol. ???, ???, 2025, IF=6.2, IF_5Y=5.9, (IF wg. 2023r) DOI, PDF

• M. Lapegna, V. Mele, R. Montella and L. Szustak, Special Issue on the pervasive nature of HPC (PN-HPC), Concurrency and Computation: Practice and Experience, vol. 36(10), 1-2, 2024, IF=1.5, IF_5Y=1.5, (IF wg. 2023r) DOI, PDF
• D. Groen, N. Papadopoulou, P. Anastasiadis, M. Lawenda, L. Szustak, S. Gogolenko, H. Arabnejad and A. Jahani, Large-scale parallelization of Human Migration Simulation, IEEE Transactions on Computational Social Systems, vol. 11(2), 2135-2146, 2024, IF=4.5, IF_5Y=4.6, (IF wg. 2023r) DOI, PDF

• L. Szustak, M. Lawenda, S. Armingc, G. Bankhamerc, C. Schweimerd and R. Elsasser, Profiling and optimization of Python-based social sciences applications on HPC systems by means of task and data parallelism, Future Generation Computer Systems, vol. 148, 623-635, 2023, IF=6.2, IF_5Y=5.9, DOI, PDF
• P. Bratek, L. Szustak, R. Wyrzykowski and T. Olas, Reducing Energy Consumption Using Heterogeneous Voltage Frequency Scaling of Data-Parallel Applications for Multicore Systems, Journal of Parallel and Distributed Computing, vol. 175, 121-133, 2023, IF=3.4, IF_5Y=3.4, DOI, PDF

• K. Halbiniak, R. Wyrzykowski, L. Szustak, A. Kulawik, N. Meyer and P. Gepner, Performance Exploration of Various C/C++ Compilers for AMD EPYC Processors in Numerical Modeling of Solidification, Advances in Engineering Software, vol. 166, 1-14, 2022, IF=4.8, IF_5Y=7.0, DOI, PDF

• L. Szustak, R. Wyrzykowski, T. Olas and L. Kuczynski, Architectural Adaptation and Performance-Energy Optimization for CFD Application on AMD EPYC Rome, IEEE Transactions on Parallel and Distributed Systems, vol. 32(12), 2852-2866, 2021, IF=3.757, IF_5Y=3.389, DOI, PDF
• K. Halbiniak, L. Szustak, T. Olas, R. Wyrzykowski and P. Gepner, Exploration of OpenCL Heterogeneous Programming for Porting Solidification Modeling to CPU-GPU Platforms, Concurrency and Computation: Practice and Experience, vol. 33(4), 1-23, 2021, IF=1.831, IF_5Y=1.604, DOI, PDF
• K. Halbiniak, T. Olas, L. Szustak, A. Kulawik and M. Lapegna, Dynamic workload prediction and distribution in numerical modeling of solidification on multi-/manycore architectures, Concurrency and Computation: Practice and Experience, vol. 33(11), 1-16, 2021, IF=1.831, IF_5Y=1.604, DOI, PDF
• L. Carracciuolo, V. Mele and L. Szustak, About the Granularity Portability of Block-Based Krylov Methods in Heterogeneous Computing Environments, Concurrency and Computation: Practice and Experience, vol. 33(4), 1-21, 2021, IF=1.831, IF_5Y=1.604, DOI, PDF

• L. Szustak, R. Wyrzykowski, T. Olas and V. Mele, Correlation of Performance Optimizations and Energy Consumption for Stencil-Based Application on Intel Xeon Scalable Processors, IEEE Transactions on Parallel and Distributed Systems, vol. 31(11), 2582-2593, 2020, IF=2.687, IF_5Y=3.215, DOI, PDF
• G. Laccetti, M. Lapegna, V. Mele, D. Romano and L. Szustak, Performance Enhancement of a Dynamic K-means Algorithm Through a Parallel Adaptive Strategy on Multicore CPUs, Journal of Parallel and Distributed Computing, vol. 145, 34-41, 2020, IF=3.734, IF_5Y=2.976, DOI, PDF

• L. Szustak and P. Bratek, Performance portable parallel programming of heterogeneous stencils across shared-memory platforms with modern Intel processors, International Journal of High Performance Computing Applications, vol. 33(3), 534-553, 2019, IF=2.365, IF_5Y=2.521, DOI, PDF
• L. Szustak, K. Halbiniak, R. Wyrzykowski and O. Jakl, Unleashing the Performance of ccNUMA Multiprocessor Architectures in Heterogeneous Stencil Computations, Journal of Supercomputing, vol. 75, 7765-7777, 2019, IF=2.469, IF_5Y=2.025, DOI, PDF

• K. Halbiniak, R. Wyrzykowski, L. Szustak and T. Olas, Assessment of offload-based programming environments for hybrid CPU-MIC platforms in numerical modeling of solidification, Simulation Modelling Practice and Theory, vol. 87, 48-72, 2018, IF=2.426, IF_5Y=2.677, DOI, PDF

Przed uzyskaniem stopnia doktora habilitowanego, po uzyskaniu stopnia doktora (7 w tym 6 JCR):

• L. Szustak, K. Halbiniak, L. Kuczynski, J. Wrobel and A. Kulawik, Porting and optimization of solidification application for CPU–MIC hybrid platforms, International Journal of High Performance Computing Applications, vol. 32(4), 523-539, 2018, IF=1.956, IF_5Y=2.270, DOI, PDF
• L. Szustak, Strategy for Data-Flow Synchronizations in Stencil Parallel Computations on Multi-/Manycore Systems, Journal of Supercomputing, vol. 74, 1534-1546, 2018, IF=2.157, IF_5Y=1.943, DOI, PDF

• A. Lastovetsky, L. Szustak and R. Wyrzykowski, Model-based Optimization of EULAG Kernel on Intel Xeon Phi Through Load Imbalancing, IEEE Transactions on Parallel and Distributed Systems, vol. 28(3), 787-797, 2017, IF=3.971, IF_5Y=4.290, DOI, PDF

• L. Szustak, K. Rojek, T. Olas, L. Kuczynski, K. Halbiniak and P. Gepner, Adaptation of MPDATA Heterogeneous Stencil Computation to Intel Xeon Phi Coprocessor, Scientific Programming, vol. 2015, 1-14, 2015, IF=0.455, IF_5Y=0.756, DOI, PDF
• K. Rojek, M. Ciznicki, B. Rosa, P. Kopta, M. Kulczewski, K. Kurowski, Z. Piotrowski, L. Szustak, D. Wojcik and R. Wyrzykowski, Adaptation of Fluid Model EULAG to Graphics Processing Unit Architecture, Concurrency and Computation: Practice and Experience, vol. 27(4). 937-957, 2015, IF=0.942, IF_5Y=0.914, DOI, PDF
• B. Rosa, L. Szustak, A. Wyszogrodzki, K. Rojek, D. Wojcik and R. Wyrzykowski, Adaptation of Multidimensional Positive Definite Advection Transport Algorithm to Modern High Performance Computing Platforms, International Journal of Modeling and Optimization, vol. 5(3), 171-176, 2015, DOI, PDF

• R. Wyrzykowski, L. Szustak and K. Rojek, Parallelization of 2D MPDATA EULAG Algorithm on Hybrid Architectures with GPU accelerators, Parallel Computing, vol. 40(8), 425-447, 2014, IF=1.511, IF_5Y=1.781, DOI, PDF

Przed doktoratem (1 JCR):

• R. Wyrzykowski, K. Rojek and L. Szustak, Model-Driven Adaptation of Double Precision Matrix Multiplication to the Cell Processor Architecture, Parallel Computing, vol. 38, 260-276, 2012, IF=1.214, IF_5Y=1.390, DOI, PDF

Po uzyskaniu stopnia doktora habilitowanego (7 w tym 5 WoS):

• M. Lawenda, K. Samborski, K. Khloponin and L. Szustak, Efficient allocation of LLM and machine learning tasks on multi-GPU systems, In Proc. 15th Int. Conf. on Parallel Processing and Applied Mathematics - PPAM 2024, vol. 15581, 63–78, LNCS, Springer, 2025, www, DOI, PDF

• P. Bratek, L. Szustak and J. Zola, Parallel auto-scheduling of counting queries in machine learning applications on HPC systems, In Proc. Euro-Par 2023: Parallel Processing Workshops - Euro-Par 2023, vol. 14352, 327-333, LNCS, Springer, 2024, www, DOI, PDF, WoS

• P. Bratek, L. Szustak and J. Zola, Parallelization and auto-scheduling of data access queries in ML workloads, In Proc. Euro-Par 2021: Parallel Processing Workshops - Euro-Par 2021, vol. 13098, 525-529, LNCS, Springer, 2022, www, DOI, PDF, WoS
• P. Bratek, L. Szustak, R. Wyrzykowski, T. Olas and T. Chmiel, Heterogeneous Voltage Frequency Scaling of Data-Parallel Applications for Energy Saving on Homogeneous Multicore Platforms, In Proc. Euro-Par 2021: Parallel Processing Workshops - Euro-Par 2021, vol. 13098, 141-153, LNCS, Springer, 2022, www, DOI, PDF, WoS

• K. Halbiniak, L. Szustak, A. Kulawik and P. Gepner, Performance Optimizations for Parallel Modeling of Solidification with Dynamic Intensity of Computation, In Proc. 13th Int. Conf. on Parallel Processing and Applied Mathematics - PPAM 2019, vol. 12043, 370-381, LNCS, Springer, 2020, www, DOI, PDF
• L. Szustak, R. Wyrzykowski, K. Halbiniak and P. Bratek, Toward Heterogeneous MPI plus MPI Programming: Comparison of OpenMP and MPI Shared Memory Models, In Proc. Euro-Par 2019: Parallel Processing Workshops - Euro-Par 2019, vol. 11997, 270-281, LNCS, Springer, 2020, www, DOI, PDF, WoS

• A. Lastovetsky, M. Fahad, H. Khaleghzadeh, S. Khokhriakov, R. Reddy, A. Shahid, L. Szustak and R. Wyrzykowski, How Pre-Multicore Methods and Algorithms Perform in Multicore Era, In Proc. High Performance Computing: International Supercomputing Conference (ISC) on High Performance, Frankfurt/Main, Germany, June 28, 2018 vol. 11203, 527-539, LNCS, Springer, 2018, www, DOI, PDF, WoS

Przed uzyskaniem stopnia doktora habilitowanego, po uzyskaniu stopnia doktora (11 w tym 7 WoS):

• L. Szustak, R. Wyrzykowski and J. Ondrej, Islands-of-Cores Approach for Harnessing SMP/NUMA Architectures in Heterogeneous Stencil Computations, In Proc. Parallel Computing Technologies: 14th International Conference, PaCT 2017, Nizhny Novgorod, Russia, September 4-8, 2017, vol. 10421, 351-364, LNCS, Springer, 2017, www, DOI, PDF, WoS
• R. Wyrzykowski, L. Szustak and K. Halbiniak, Exploring Programming Models for Accelerating Scientific Applications on Hybrid CPU-MIC Platforms, In Proc. PARNUM 2017 International Workshop on Parallel Numerics April 19–21, 2017 Fraunhofer Research Campus Waischenfeld, Germany, www, PDF

• L. Szustak, K. Halbiniak, A. Kulawik, R. Wyrzykowski, P. Uminski and M. Sasinowski, Using hStreams Programming Library for Accelerating a Real-Life Application on Intel MIC, In Proc. ICA3PP 2016 Collocated Workshops: SCDT, TAPEMS, BigTrust, UCER, DLMCS, Granada, Spain, Dec. 14-16, 2016, vol. 10049, 373–382, LNCS, Springer, 2016, www, DOI, PDF, WoS
• T. Malik, L. Szustak, R. Wyrzykowski and A. Lastovetsky, Network-Aware Optimization of MPDATA on Homogeneous Multi-core Clusters with Heterogeneous Network, In Proc. ICA3PP 2016 Collocated Workshops: SCDT, TAPEMS, BigTrust, UCER, DLMCS, Granada, Spain, Dec. 14-16, 2016, vol. 10049, 30-42, LNCS, Springer, 2016, www, DOI, PDF, WoS
• L. Szustak, K. Halbiniak, A Kulawik, J. Wrobel and P. Gepner, Toward Parallel Modeling of Solidification Based on the Generalized Finite Difference Method Using Intel Xeon Phi, In Proc. 11th Int. Conf. on Parallel Processing and Applied Mathematics - PPAM 2015, vol. 9573, 411–412, LNCS, Springer, 2016, www, DOI, PDF, WoS
• K. Halbiniak, L. Szustak, A. Lastovetsky and R. Wyrzykowski, Exploring OpenMP Accelerator Model in a Real-life Scientific Application Using Hybrid CPU-MIC Platforms, In Proc. 3rd International Workshop on Sustainable Ultrascale Computing Systems (NESUS 2016) Sofia, Bulgaria, 11–14. ARCOS, 2016 PDF

• L. Szustak, K. Rojek, R. Wyrzykowski and P Gepner, Toward Efficient Distribution of MPDATA Stencil Computation on Intel MIC Architecture, In Proc. 1st Int. Workshop on High-Performance Stencil Computations - HiStencils 2014. In Conjunction with HiPEAC 2014, 51–56, 2014, www, PDF
• R. Wyrzykowski, L. Szustak, K. Rojek and A. Tomas, Towards Efficient Decomposition and Parallelization of MPDATA on Hybrid CPU-GPU Cluster, In Proc. 9th International Conference on Large-Scale Scientific Computations - LSSC 2013, vol. 8353, 434–444, LNCS, Springer, 2014, www, DOI, PDF, WoS
• L. Szustak, K. Rojek and P. Gepner, Using Intel Xeon Phi Coprocessor to Accelerate Computations in MPDATA Algorithm, In Proc. 10th Int. Conf. on Parallel Processing and Applied Mathematics - PPAM 2013, vol. 8385, 582-592, LNCS, Springer, 2014, www, DOI, PDF, WoS
• D. Wójcik, M. Ciznicki, P. Kopta, M. Kulczewski, K. Kurowski, Z. Piotrowski, K. Rojek, B. Rosa, L. Szustak and R. Wyrzykowski, Adaptation of the Anelastic Solver EULAG to High Performance Computing Architectures, In Proc. EGU General Assembly, Wiedeń, Austria, 27.04-02.05.2014, www, PDF
• K. Rojek, L. Szustak and R. Wyrzykowski, Performance Analysis for Stencil Based 3D MPDATA Algorithm on GPU Architecture, In Proc. 10th Int. Conf. on Parallel Processing and Applied Mathematics - PPAM 2013, vol. 8384, 145–154, LNCS, Springer, 2014, www, DOI, PDF, WoS

Przed doktoratem (3 w tym 2 WoS):

• K. Rojek and L. Szustak, Parallelization of EULAG Model on Multicore Architectures with GPU Accelerators, In Proc. 9th Int. Conf. on Parallel Processing and Applied Mathematics - PPAM 2011, vol. 7204, 391–400, LNCS, Springer, 2012, www, DOI, PDF, WoS
• R. Wyrzykowski, K. Rojek and L. Szustak, Using Blue Gene/P and GPUs to Accelerate Computations in the EULAG Model, In Proc. 8th International Conference on Large-Scale Scientific Computations, LSSC 2011, vol. 7116, 662–670, LNCS, Springer, 2012, www, DOI, PDF

• K. Rojek and L. Szustak, Adaptation of Double-Precision Matrix Multiplication to the Cell Broadband Engine Architecture, In Proc. 8th Int. Conf. on Parallel Processing and Applied Mathematics - PPAM 2009, vol. 6067, 535–546, LNCS, Springer, 2010, www, DOI, PDF, WoS

Przed uzyskaniem stopnia doktora habilitowanego, po uzyskaniu stopnia doktora (1):

• K. Rojek, L. Szustak and R. Wyrzykowski, Zrównoleglanie i automatyczne dostosowanie algorytmów numerycznych do architektur hybrydowych z akceleratorami GPU, Warszawa, PWN, 2015, (Nagroda im. Profesora Zdzisława Pawlaka za wybitną monografię z zakresu informatyki przyznana w roku 2016 przez Komitet Informatyki PAN)

Po uzyskaniu stopnia doktora habilitowanego (14)

• L. Szustak, M. Lawenda and L. Környei, Exploration of performance-energy correlation for CFD codes on cluster with AMD CPUs, 15th International Conference Parallel Processing and Applied Mathematics, PPAM 2024, Ostrava, Czech Republic, September 8–11, 2024 www: PPAM2024
• M. Lawenda, K. Samborski, K. Khloponin and L. Szustak, Efficient allocation of LLM and machine learning tasks on multi-GPU systems, 15th International Conference Parallel Processing and Applied Mathematics, PPAM 2024, Ostrava, Czech Republic, September 8–11, 2024 www: PPAM2024
• T. Olas, L. Szustak, P. Gepner and R. Wyrzykowski, Porting Memory-Bound CFD Application to RISC-V Architecture, 15th International Conference Parallel Processing and Applied Mathematics, PPAM 2024, Ostrava, Czech Republic, September 8–11, 2024 www: PPAM2024
• L. Szustak and M. Lawenda, Profiling and optimization of Python-based scientific applications in new HPC systems, Towards reliable Digital Twin: advancing applications and tools capabilities for Global Challenges, In Conjunction with HiPEAC 2024, January 17-19, 2024, www: HiPEAC 2024

• P. Bratek, L. Szustak and J. Zola, Parallel auto-scheduling of counting queries in machine learning applications on HPC systems, 29th International European Conference on Parallel and Distributed Computing, PhD Symposium, 28 August - 1 September 2023, www: EuroPar2023

• P. Bratek, L. Szustak and J. Zola, Towards multi-threaded execution of counting queries in machine learning applications, 14th International Conference Parallel Processing and Applied Mathematics, PPAM 2012, Gdansk, Poland, September 11–14, 2022 www: PPAM2022
• L. Szustak and M. Lawenda, ccNUMA-aware optimization for computing approximate spectrum of eigenvalues of a graph, 14th International Conference Parallel Processing and Applied Mathematics, PPAM 2022, Gdansk, Poland, September 11–14, 2022 www: PPAM2022

• P. Bratek, L. Szustak and J. Zola, Parallelization and auto-scheduling of data access queries in ML workloads, 27th International European Conference on Parallel and Distributed Computing, PhD Symposium, 30 August - 3 September 2021, www: EuroPar2021
• P. Bratek, L. Szustak, R. Wyrzykowski, T. Olas and T. Chmiel, Heterogeneous Voltage Frequency Scaling of Data-Parallel Applications for Energy Saving on Homogeneous Multicore Platforms, 27th International European Conference on Parallel and Distributed Computing, 19th International Workshop on Algorithms, Models and Tools for Parallel Computing on Heterogeneous Platforms, 30 August - 3 September, 2021, www: EuroPar2021, www: HeteroPar2021 Workshop

• R. Wyrzykowski, L. Szustak and K. Halbiniak, Numerical Modeling of Solidification using OpenCL Hybrid CPU–GPU Program, 13th workshop in the series of the "Parallel Numerics" workshops (ParNum 2019), Dubrovnik, Croatia, October 28-30, 2019, www: ParNum2019
• L. Szustak, R. Wyrzykowski, K. Halbiniak and P. Bratek, Toward Heterogeneous MPI+MPI Programming: Comparison of OpenMP and MPI Shared Memory Models, 25th International European Conference on Parallel and Distributed Computing, 17th International Workshop on Algorithms, Models and Tools for Parallel Computing on Heterogeneous Platforms, August 26 - 30, 2019, www: EuroPar2019, www: HeteroPar2019 Workshop
• K. Halbiniak, L. Szustak and Lukasz Kuczynski, Exploration of OpenCL Hybrid Programming for Numerical Modeling of Solidification, 13th International Conference Parallel Processing and Applied Mathematics, PPAM 2019, Bialystok, Poland, September 8–11, 2019 www: PPAM2019
• L. Szustak, T. Olas and P. Gepner, Impact of Performance Optimizations for CFD Application on Energy and Power Consumption of Intel Xeon Scalable Processorsn, 13th International Conference Parallel Processing and Applied Mathematics, PPAM 2019, Bialystok, Poland, September 8–11, 2019 www: PPAM2019
• L. Szustak, Exploring the Impact of Multi- and Manycore Architectures on Accelerating Scientific Applications, Symposium on High Performance Computing: Algorithms, Architectures and Applications, Czestochowa, Poland, April 5, 2019.

Przed uzyskaniem stopnia doktora habilitowanego, po uzyskaniu stopnia doktora (...):