Search Results - "Ziogas, Alexandros"

Using electrical resistivity logs and short duration pumping tests to estimate hydraulic conductivity profiles by Kaleris, Vassilios K., Ziogas, Alexandros I.

“…•Electrical resistivity data effectively support estimation of permeability profiles.•Estimation of mean grain size–porosity relationships by calibrating…”
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The effect of cutoff walls on saltwater intrusion and groundwater extraction in coastal aquifers by Kaleris, Vassilios K., Ziogas, Alexandros I.

“…► We investigate the effect of cutoff walls on saltwater intrusion. ► We examine cases with and without groundwater extraction. ► We compare the importance of…”
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Establishing and Calibrating the Model of a Coastal Aquifer with Limited Data for Assessing the Safety of the Groundwater Exploitation by Ziogas, Alexandros I., Kaleris, Vassilios K.

“…Reliable assessment of the groundwater safety in coastal aquifers is efficiently supported by the use of reasonable conceptual groundwater models, which take…”
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Forensic Hydrology: A Complete Reconstruction of an Extreme Flood Event in Data-Scarce Area by Tegos, Aristoteles, Ziogas, Alexandros, Bellos, Vasilis, Tzimas, Apostolos

“…On 18 September 2020, the Karditsa prefecture of Thessaly region (Greece) experienced a catastrophic flood as a consequence of the IANOS hurricane. This…”
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Modern Developments in Flood Modelling by Tegos, Aristoteles, Ziogas, Alexandros, Bellos, Vasilis

“…Flood modelling is among the most challenging scientific task because it covers a wide area of complex physical phenomena associated with highly uncertain and…”
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Single neuromorphic memristor closely emulates multiple synaptic mechanisms for energy efficient neural networks by Weilenmann, Christoph, Ziogas, Alexandros Nikolaos, Zellweger, Till, Portner, Kevin, Mladenović, Marko, Kaniselvan, Manasa, Moraitis, Timoleon, Luisier, Mathieu, Emboras, Alexandros

“…Biological neural networks do not only include long-term memory and weight multiplication capabilities, as commonly assumed in artificial neural networks, but…”
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Climate service derived indicators to assess the impact of climate change on local river assimilative capacity by Ziogas, Alexandros I., Pechlivanidis, Ilias G., Romas, Evangelos D., Tzimas, Apostolos M.

“…•Continental climate services provide information to address local water challenges.•Using Emission Limit Values for industrial effluents as a climate change…”
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A Modular Benchmarking Infrastructure for High-Performance and Reproducible Deep Learning by Ben-Nun, Tal, Besta, Maciej, Huber, Simon, Ziogas, Alexandros Nikolaos, Peter, Daniel, Hoefler, Torsten

“…We introduce Deep500: the first customizable benchmarking infrastructure that enables fair comparison of the plethora of deep learning frameworks, algorithms,…”
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FuzzyFlow: Leveraging Dataflow To Find and Squash Program Optimization Bugs by Schaad, Philipp, Schneider, Timo, Ben-Nun, Tal, Calotoiu, Alexandru, Ziogas, Alexandros Nikolaos, Hoefler, Torsten

“…The current hardware landscape and application scale is driving performance engineers towards writing bespoke optimizations. Ver-ifying such optimizations, and…”
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FuzzyFlow: Leveraging Dataflow To Find and Squash Program Optimization Bugs by Schaad, Philipp, Schneider, Timo, Ben-Nun, Tal, Calotoiu, Alexandru, Ziogas, Alexandros Nikolaos, Hoefler, Torsten

“…The current hardware landscape and application scale is driving performance engineers towards writing bespoke optimizations. Verifying such optimizations, and…”
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Single Neuromorphic Memristor closely Emulates Multiple Synaptic Mechanisms for Energy Efficient Neural Networks by Weilenmann, Christoph, Ziogas, Alexandros, Zellweger, Till, Portner, Kevin, Mladenović, Marko, Kaniselvan, Manasa, Moraitis, Timoleon, Luisier, Mathieu, Emboras, Alexandros

“…Biological neural networks do not only include long-term memory and weight multiplication capabilities, as commonly assumed in artificial neural networks, but…”
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Deinsum: Practically I/O Optimal Multi-Linear Algebra by Ziogas, Alexandros Nikolaos, Kwasniewski, Grzegorz, Ben-Nun, Tal, Schneider, Timo, Hoefler, Torsten

“…Multilinear algebra kernel performance on modern massively-parallel systems is determined mainly by data movement. However, deriving data movement-optimal…”
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Deinsum: Practically I/O Optimal Multilinear Algebra by Ziogas, Alexandros Nikolaos, Kwasniewski, Grzegorz, Ben-Nun, Tal, Schneider, Timo, Hoefler, Torsten

“…Multilinear algebra kernel performance on modern massively-parallel systems is determined mainly by data movement. However, deriving data movement-optimal…”
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Fast Arbitrary Precision Floating Point on FPGA by Licht, Johannes de Fine, Pattison, Christopher A, Ziogas, Alexandros Nikolaos, Simmons-Duffin, David, Hoefler, Torsten

“…Numerical codes that require arbitrary precision floating point (APFP) numbers for their core computation are dominated by elementary arithmetic operations due…”
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On the Parallel I/O Optimality of Linear Algebra Kernels: Near-Optimal Matrix Factorizations by Kwasniewski, Grzegorz, Kabić, Marko, Ben-Nun, Tal, Ziogas, Alexandros Nikolaos, Saethre, Jens Eirik, Gaillard, André, Schneider, Timo, Besta, Maciej, Kozhevnikov, Anton, VandeVondele, Joost, Hoefler, Torsten

“…Published at Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, November, 2021(SC'21) Matrix…”
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Arrow Matrix Decomposition: A Novel Approach for Communication-Efficient Sparse Matrix Multiplication by Gianinazzi, Lukas, Ziogas, Alexandros Nikolaos, Huang, Langwen, Luczynski, Piotr, Ashkboos, Saleh, Scheidl, Florian, Carigiet, Armon, Ge, Chio, Abubaker, Nabil, Besta, Maciej, Ben-Nun, Tal, Hoefler, Torsten

“…PPoPP'24: Proceedings of the 29th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming (2024) 404-416 We propose a novel approach to…”
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Productivity, Portability, Performance: Data-Centric Python by Ziogas, Alexandros Nikolaos, Schneider, Timo, Ben-Nun, Tal, Calotoiu, Alexandru, De Matteis, Tiziano, de Fine Licht, Johannes, Lavarini, Luca, Hoefler, Torsten

“…Python has become the de facto language for scientific computing. Programming in Python is highly productive, mainly due to its rich science-oriented software…”
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On the Parallel I/O Optimality of Linear Algebra Kernels: Near-Optimal Matrix Factorizations by Kwasniewski, Grzegorz, Kabic, Marko, Ben-Nun, Tal, Ziogas, Alexandros Nikolaos, Saethre, Jens Eirik, Gaillard, Andre, Schneider, Timo, Besta, Maciej, Kozhevnikov, Anton, VandeVondele, Joost, Hoefler, Torsten

“…Matrix factorizations are among the most important building blocks of scientific computing. However, state-of-the-art libraries are not communication-optimal,…”
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On the Parallel I/O Optimality of Linear Algebra Kernels: Near-Optimal LU Factorization by Kwasniewski, Grzegorz, Ben-Nun, Tal, Ziogas, Alexandros Nikolaos, Schneider, Timo, Besta, Maciej, Hoefler, Torsten

“…Dense linear algebra kernels, such as linear solvers or tensor contractions, are fundamental components of many scientific computing applications. In this…”
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Fast Arbitrary Precision Floating Point on FPGA by de Fine Licht, Johannes, Pattison, Christopher A., Ziogas, Alexandros Nikolaos, Simmons-Duffin, David, Hoefler, Torsten

“…Numerical codes that require arbitrary precision floating point (APFP) numbers for their core computation are dominated by elementary arithmetic operations due…”
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