Items where Division is "20 Department of Computer Science > Parallel Programming" and Year is [pin missing: value2]
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- TU Darmstadt (15)
- 20 Department of Computer Science (15)
- Parallel Programming (15)
- 20 Department of Computer Science (15)
B
Berens, Yannick (2017):
Scalability Validation of Parallel Sorting Algorithms.
Darmstadt, Technische Universität, [Bachelor Thesis]
Burger, Michael (2017):
Memory-Efficient and Parallel Simulation of Super Carbon Nanotubes.
Darmstadt, Technische Universität,
[Ph.D. Thesis]
C
Calotoiu, Alexandru (2018):
Automatic Empirical Performance Modeling of Parallel Programs.
Darmstadt, Technische Universität,
[Ph.D. Thesis]
G
Graf, Alexander (2017):
Modeling Cache Locality with Extra-P.
Darmstadt, Technische Universität, [Bachelor Thesis]
H
Huda, Zia ul (2021):
Identification of Suitable Parallelization Patterns for Sequential Programs. (Publisher's Version)
Darmstadt, Technische Universität,
DOI: 10.26083/tuprints-00019668,
[Ph.D. Thesis]
L
Li, Zhen (2016):
Discovery of Potential Parallelism in Sequential Programs.
Darmstadt, Technische Universität Darmstadt,
[Ph.D. Thesis]
M
Mariano, Artur (2016):
High performance algorithms for lattice-based cryptanalysis.
Darmstadt, Technische Universität Darmstadt,
[Ph.D. Thesis]
Mazaheri, Arya (2022):
Performance engineering of data-intensive applications. (Publisher's Version)
Darmstadt, Technische Universität Darmstadt,
DOI: 10.26083/tuprints-00021078,
[Ph.D. Thesis]
N
Norouzi, Mohammad (2022):
Enhancing the Speed and Automation of Assisted Parallelization. (Publisher's Version)
Darmstadt, Technische Universität Darmstadt,
DOI: 10.26083/tuprints-00022884,
[Ph.D. Thesis]
P
Prabhakaran, Suraj (2016):
Dynamic Resource Management and Job Scheduling for High Performance Computing.
Darmstadt, Technische Universität Darmstadt,
[Ph.D. Thesis]
R
Rechberger, Simon ; Li, Yong ; Kopetzky, Sebastian J. ; Butz-Ostendorf, Markus (2022):
Automated High-Definition MRI Processing Routine Robustly Detects Longitudinal Morphometry Changes in Alzheimer’s Disease Patients. (Publisher's Version)
In: Frontiers in Aging Neuroscience, 14, Frontiers Media S.A., e-ISSN 1663-4365,
DOI: 10.26083/tuprints-00021572,
[Article]
Rinke, Sebastian (2018):
A Scalable Parallel Algorithm for the Simulation of Structural Plasticity in the Brain.
Darmstadt, Technische Universität,
[Ph.D. Thesis]
S
Shah, Aamer (2020):
Capturing the impact of external interference on HPC application performance.
Darmstadt, Technische Universität,
DOI: 10.25534/tuprints-00011774,
[Ph.D. Thesis]
Shudler, Sergei (2018):
Scalability Engineering for Parallel Programs Using Empirical Performance Models.
Darmstadt, Technische Universität,
[Ph.D. Thesis]
W
Wehrstein, Johannes (2019):
Complexity Analysis For Performance Modelling.
Darmstadt, Technische Universität Darmstadt, [Bachelor Thesis]