I have been involved in a number of auxiliary projects related to
parallel and distributed computing. What follows is a partial list of
resulting papers (all papers listed here are "Technical Report" quality and
copyrighted originals should be used for all purposes over and above plain curiosity):
G. Peregud,
M. Ganzha,
M. Paprzycki,
Control plane systems tracing and
debugging – towards implementation, R. Potolea, et.al. (eds.), 2021 20th International
Symposium on Parallel and Distributed Computing (ISPDC), IEEE, Los Alamitos, 2021, 114-121,
DOI: 10.1109/ISPDC52870.2021.9521647, PDF
G. Peregud,
M. Ganzha,
M. Paprzycki,
Control Plane Systems Tracing and
Debugging - Existing Problems and Proposed Solution, A. Tomar, et.al. (eds.), Machine Learning,
Advances in Computing, Renewable Energy and Communication, Springer, Singapore, 2021, 1-11,
DOI: 10.1007/978-981-16-2354-7_1, PDF
M. Martone, M. Paprzycki, S. Filippone,
An Improved Sparse Matrix-Vector Multiply
Based on Recursive Sparse Blocks Layout, I. Lirkov, et.al. (eds.),
Large-Scale Scientific Computing, LNCS, Springer, Berlin, 2012, 606-613
M. Martone, S. Filippone, P. Gepner, M. Paprzycki, S. Tucci,
Use of hybrid recursive CSR/COO data structures in
sparse matrices-vector multiplication, Proceedings of
the International Multiconference on Computer Science and Information Technology, Wisla, Poland,
October 2010, 327-335
Michele Martone, Salvatore
Filippone, Salvatore Tucci, Marcin Paprzycki, Maria Ganzha Utilizing Recursive Storage in
Sparse Matrix-Vector Multiplication - Preliminary
Considerations, Proceedings of the 2010 CATA Conference, ISCA Press, 2010, 300-305
Arpith Jacob, Sugata Sanyal, Marcin
Paprzycki, Rajan Arora, Maria Ganzha, Applying SIMD Approach to Whole
Genome Comparison on Commodity Hardware In: Parallel Processing
and Applied Mathematics, LNCS, Springer, Berlin, 2008, 1220-1229
Arpith Jacob, Sugata Sanyal, Marcin
Paprzycki, Rajan Arora, Maria Ganzha, Whole Genome Comparison on a Network
of Workstations. In: D. Kranzmuller et.al. (eds.), Proceedings
of the ISPDC 2007 Conference, IEEE CS Press, Los Alamitos, CA,
2007, 31-36
M. Paprzycki, P. Stpiczynski,
A Brief Introduction to
Parallel Computing. In: E. J. Kontoghiorghes (ed.), Handbook of
Parallel Computing and Statistics, Taylor and Francis, Boca Raton,
FL, 2006, 3-41
M. Cai, I. Jonyer, M.
Paprzycki, Improving
Parallelism in Structural Data Mining. In: R. Wyrzykowski, et.
al. (eds.), PPAM 2005, LNCS 3911, Springer, Berlin, 2006, 455-462
P. Kobzdej, D.
Waligóra, K. Wielebinska, M. Paprzycki, Parallel Application of Levenshtein
Distance to Establish Similarity Between Strings, International
Journal of Computer Research, Vo. 12, No. 4, 2003, 625-633
M. Chrósniak, J.
Dworniczak, K. Ziarko, M. Paprzycki, The Implementation and
Analysis of Parallel Algorithm for Finding Perfect Matching in the
Bipartite Graphs, Annales UMCS Informatica, AI, 2004,
81-89
P. Sokolowski, P. Konieczka,
J. Sochacki, M. Paprzycki, Parallel
Implementation of the k-connectivity Test Algorithm,
Annales UMCS Informatica, AI, 2004, 91-99
B. V. Digas, A. V. Lander, M.
Paprzycki, E. L. Reznikov, Parallel Algorithms for Problems of a
Medium Structure Reconstruction. In: I. I. Eremin et. al.
(eds.) Proceedings of the International Conference on Distributed
Systems: Optimization and Economic-Environmental Applications
(DSO'2000), Ekaterniburg, Russia, 2000, 293-294
A. Kucaba-Pietal, M.
Paprzycki, Parallel Computing for
Computational Fluid Dynamics. Zeszyty Naukowe Wyzszej
Szkoly Informatyki i Zarzadzania w Rzeszowie, vol. 8, no. 7,
1998, 101-108
M. Paprzycki, J. Zalewski, Parallel Computing in Ada: An
Overview and Critique. Ada Letters, Vol. XVII, No. 2,
1997, 55-62
J. Zalewski, M. Paprzycki, Ada in Distributed Systems: An
Overview. Ada Letters, Vol. XVII, No. 2, 1997, 67-81
M. Paprzycki, I. Gladwell, A Parallel Chopping Algorithm
for ODE Boundary Value Problems, Parallel Computing,
19, 1993, 651-666
K. Bridges, M. Paprzycki, X.
Li, Parallelization of a Godunov
Type Method for the Solution of Systems of Conservation Laws,
in: Sincovec, R.F., et.al. (eds.), Parallel Processing for
Scientific Computing, SIAM, Philadelphia, PA, 1993, 31-34