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2020 – today
- 2021
[j4]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)
2010 – 2019
- 2019
- [c28]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]Adam Smyk, Marek S. Tudruj, Lukasz Grochal:
Global Application States Monitoring Applied to Graph Partitioning Optimization. ISPDC 2018: 85-92 - 2016
- [j3]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]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) - 2013
- [c26]Adam Smyk, Marek S. Tudruj:
Genetic Algorithms Hierarchical Execution Control under a Global Application State Monitoring Infrastructure. PDP 2013: 16-23 - [c25]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]Adam Smyk, Marek S. Tudruj:
Genetic Algorithms Execution Control Under a Global Application State Monitoring Infrastructure. PPAM (1) 2013: 381-391 - 2011
- [c23]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]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]Adam Smyk, Marek S. Tudruj:
Parallel FDTD Computations Optimized by Genetic Algorithms. PARELEC 2011: 99-104 - [c20]Adam Smyk, Marek S. Tudruj:
A Parallel Genetic Algorithm Based on Global Program State Monitoring. PPAM (1) 2011: 396-405 - 2010
- [c19]Janusz Borkowski, Marek S. Tudruj, Adam Smyk, Damian Kopanski:
Global Asynchronous Parallel Program Control for Multicore Processors. PARA (1) 2010: 119-130 - [c18]Adam Smyk, Marek S. Tudruj:
Streaming Model Computation of the FDTD Problem. PARA (1) 2010: 184-192
2000 – 2009
- 2009
- [c17]Adam Smyk, Marek S. Tudruj:
Optimization of FDTD Computations in a Streaming Model Architecture. PPAM (1) 2009: 547-556 - 2008
- [c16]Adam Smyk, Marek S. Tudruj:
Genetic Optimization of Parallel FDTD Computations. ISPDC 2008: 155-161 - 2007
- [c15]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]Adam Smyk, Marek S. Tudruj:
Optimization of Parallel FDTD Computations Using a Genetic Algorithm. PPAM 2007: 559-569 - 2006
- [j1]Adam Smyk, Marek S. Tudruj:
RDMA control support for fine-grain parallel computations. J. Syst. Archit. 52(2): 117-128 (2006) - [c13]Adam Smyk, Marek S. Tudruj:
Prototyping Parallel FDTD Programs by Macro Data Flow Graph Analysis. DSD 2006: 295-304 - [c12]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]Adam Smyk, Marek S. Tudruj:
Parallel FDTD Computations Optimized by Program Macro Data Flow Graph Redeployment. PARELEC 2006: 421-426 - 2005
- [c10]Adam Smyk, Marek S. Tudruj:
Profiling Macro Data Flow Graphs for Parallel Implementation of FDTD Computations. ISPDC 2005: 121-130 - [c9]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]Adam Smyk, Marek S. Tudruj:
Program Implementation Based on Macro Data Flow Paradigm with RDMA Communication Support. ISPDC/HeteroPar 2004: 270-276 - [c7]Adam Smyk, Marek S. Tudruj:
Parallel Implementation of FDTD Computations Based on Macro Data Flow Paradigm. PARELEC 2004: 19-24 - [c6]Adam Smyk, Marek S. Tudruj:
RDMA Control Support for Fine-Grain Parallel Computations. PDP 2004: 208- - 2003
- [c5]Adam Smyk, Marek S. Tudruj:
RDMA Communication Based on Rotating Buffers for Efficient Parallel Fine-Grain Computations. PPAM 2003: 50-58 - 2002
- [c4]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]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]Adam Smyk, Marek S. Tudruj:
Application of Mixed MPI OpenMP Programming in a Multi SMP Cluster Computer. PPAM 2001: 288-298 - 2000
- [c1]Adam Smyk, Marek S. Tudruj:
Inter-Process Communication for Parallel Computations of Wavelet Transforms on Hitachi SR2201 Supercomputer. PARELEC 2000: 248-252
Coauthor Index
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