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Adam Smyk

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Journal Articles

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2021
[j4]
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Adam Smyk, Marek S. Tudruj:
Distributed Application Global States Monitoring in PEGASUS DA Applied to Parallel Graph Partitioning. Concurr. Comput. Pract. Exp. 33(11) (2021)
2016
[j3]
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  - journals/entropy/LaskowskiSRG16
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Rafal Laskowski, Adam Smyk, Artur Rusowicz, Andrzej Grzebielec:
Determining the Optimum Inner Diameter of Condenser Tubes Based on Thermodynamic Objective Functions and an Economic Analysis. Entropy 18(12): 444 (2016)
2015
[j2]
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Marek S. Tudruj, Janusz Borkowski, Damian Kopanski, Eryk Laskowski, Lukasz Masko, Adam Smyk:
PEGASUS DA framework for distributed program execution control based on application global states monitoring. Concurr. Comput. Pract. Exp. 27(4): 1027-1053 (2015)
2006
[j1]
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Adam Smyk, Marek S. Tudruj:
RDMA control support for fine-grain parallel computations. J. Syst. Archit. 52(2): 117-128 (2006)

Conference and Workshop Papers

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2019
[c28]
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Adam Smyk, Marek S. Tudruj, Lukasz Grochal:
Parallel Graph Partitioning Optimization Under PEGASUS DA Application Global State Monitoring. PPAM (1) 2019: 272-286
2018
[c27]
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Adam Smyk, Marek S. Tudruj, Lukasz Grochal:
Global Application States Monitoring Applied to Graph Partitioning Optimization. ISPDC 2018: 85-92
2013
[c26]
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Adam Smyk, Marek S. Tudruj:
Genetic Algorithms Hierarchical Execution Control under a Global Application State Monitoring Infrastructure. PDP 2013: 16-23
[c25]
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  - conf/ppam/KopanskiMLSBT13
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Damian Kopanski, Lukasz Masko, Eryk Laskowski, Adam Smyk, Janusz Borkowski, Marek S. Tudruj:
Distributed Program Execution Control Based on Application Global States Monitoring in PEGASUS DA Framework. PPAM (1) 2013: 302-314
[c24]
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Adam Smyk, Marek S. Tudruj:
Genetic Algorithms Execution Control Under a Global Application State Monitoring Infrastructure. PPAM (1) 2013: 381-391
2011
[c23]
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Marek S. Tudruj, Janusz Borkowski, Lukasz Masko, Adam Smyk, Damian Kopanski, Eryk Laskowski:
Program Design Environment for Multicore Processor Systems with Program Execution Controlled by Global States Monitoring. ISPDC 2011: 102-109
[c22]
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Marek S. Tudruj, Janusz Borkowski, Damian Kopanski, Adam Smyk, Eryk Laskowski, Lukasz Masko:
Distributed Program Control Flow and Behaviour Governed by Global States Monitoring. PARELEC 2011: 73-78
[c21]
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Adam Smyk, Marek S. Tudruj:
Parallel FDTD Computations Optimized by Genetic Algorithms. PARELEC 2011: 99-104
[c20]
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Adam Smyk, Marek S. Tudruj:
A Parallel Genetic Algorithm Based on Global Program State Monitoring. PPAM (1) 2011: 396-405
2010
[c19]
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Janusz Borkowski, Marek S. Tudruj, Adam Smyk, Damian Kopanski:
Global Asynchronous Parallel Program Control for Multicore Processors. PARA (1) 2010: 119-130
[c18]
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Adam Smyk, Marek S. Tudruj:
Streaming Model Computation of the FDTD Problem. PARA (1) 2010: 184-192
2009
[c17]
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Adam Smyk, Marek S. Tudruj:
Optimization of FDTD Computations in a Streaming Model Architecture. PPAM (1) 2009: 547-556
2008
[c16]
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Adam Smyk, Marek S. Tudruj:
Genetic Optimization of Parallel FDTD Computations. ISPDC 2008: 155-161
2007
[c15]
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Adam Smyk, Marek S. Tudruj:
Hierarchical Optimization of the Parallel FDTD Computations Based on the Macro Data Flow Graph Paradigm. ISPDC 2007: 53-60
[c14]
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Adam Smyk, Marek S. Tudruj:
Optimization of Parallel FDTD Computations Using a Genetic Algorithm. PPAM 2007: 559-569
2006
[c13]
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Adam Smyk, Marek S. Tudruj:
Prototyping Parallel FDTD Programs by Macro Data Flow Graph Analysis. DSD 2006: 295-304
[c12]
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Adam Smyk, Marek S. Tudruj, Lukasz Masko:
Open MP Extension for Multithreaded Computing with Dynamic SMP Processor Clusters with Communication on the Fly. PARELEC 2006: 83-88
[c11]
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Adam Smyk, Marek S. Tudruj:
Parallel FDTD Computations Optimized by Program Macro Data Flow Graph Redeployment. PARELEC 2006: 421-426
2005
[c10]
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Adam Smyk, Marek S. Tudruj:
Profiling Macro Data Flow Graphs for Parallel Implementation of FDTD Computations. ISPDC 2005: 121-130
[c9]
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Adam Smyk, Marek S. Tudruj:
Optimization of Parallel FDTD Computations Based on Structural Redeployment of Macro Data Flow Nodes. PPAM 2005: 542-550
2004
[c8]
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Adam Smyk, Marek S. Tudruj:
Program Implementation Based on Macro Data Flow Paradigm with RDMA Communication Support. ISPDC/HeteroPar 2004: 270-276
[c7]
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Adam Smyk, Marek S. Tudruj:
Parallel Implementation of FDTD Computations Based on Macro Data Flow Paradigm. PARELEC 2004: 19-24
[c6]
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Adam Smyk, Marek S. Tudruj:
RDMA Control Support for Fine-Grain Parallel Computations. PDP 2004: 208-
2003
[c5]
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Adam Smyk, Marek S. Tudruj:
RDMA Communication Based on Rotating Buffers for Efficient Parallel Fine-Grain Computations. PPAM 2003: 50-58
2002
[c4]
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Adam Smyk, Marek S. Tudruj:
Irregular Fine-Grain Parallel Computing Based on the Slide Register Window Architecture of Hitachi SR2201. PARELEC 2002: 39-43
2001
[c3]
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Adam Smyk, Marek S. Tudruj:
OpenMP / MPI Programming in a Multi-cluster System Based on Shared Memory/Message Passing Communication. IWCC 2001: 241-248
[c2]
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Adam Smyk, Marek S. Tudruj:
Application of Mixed MPI OpenMP Programming in a Multi SMP Cluster Computer. PPAM 2001: 288-298
2000
[c1]
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Adam Smyk, Marek S. Tudruj:
Inter-Process Communication for Parallel Computations of Wavelet Transforms on Hitachi SR2201 Supercomputer. PARELEC 2000: 248-252

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