Julius Žilinskas

发表

Heterogeneous Parallel Computing Platforms and Tools for Compute‐Intensive Algorithms: A Case Study

Emanuele Danovaro, Emmanuel Jeannot, Andrea Clematis, 2014, HiPC 2014.

Euro-Par 2014: Parallel Processing Workshops

Michael Alexander, Mario Cannataro, Laura Ricci, 2014, Lecture Notes in Computer Science.

Resource Discovery in Large‐Scale Grid Systems

Helen D. Karatza, Emmanuel Jeannot, Julius Žilinskas, 2014, HiPC 2014.

An Overview of Topology Mapping Algorithms and Techniques in High‐Performance Computing

Torsten Hoefler, Emmanuel Jeannot, Guillaume Mercier, 2014, HiPC 2014.

A Discrete Competitive Facility Location Model with Minimal Market Share Constraints and Equity-Based Ties Breaking Rule

Blas Pelegrín, Pascual Fernández, Julius Žilinskas, 2020, Informatica.

Applications of Global Optimization Benefiting from Simplicial Partitions

Remigijus Paulavičius, Julius Žilinskas, R. Paulavičius, 2014 .

Efficient Numerical Solution of 2D Diffusion Equation on Multicore Computers

Emmanuel Jeannot, Roman Trobec, Gregor Kosec, 2014, HiPC 2014.

Real‐Time Tomographic Reconstruction through CPU + GPU Coprocessing

Emmanuel Jeannot, Ester M. Garzón, Julius Žilinskas, 2014, HiPC 2014.

Models and Algorithms for Global Optimization

Aimo Törn, Julius Žilinskas, 2007 .

Parallel Global Optimization inMultidimensional Scaling

Julius Žilinskas, 2009 .

Penalty functions and two-step selection procedure based DIRECT-type algorithm for constrained global optimization

Remigijus Paulavičius, Julius Žilinskas, Linas Stripinis, 2019, Structural and Multidisciplinary Optimization.

High-Performance Computing on Complex Environments: Jeannot/High-Performance Computing on Complex Environments

Emmanuel Jeannot, Julius Žilinskas, 2014 .

Systematic Mapping of Reed–Solomon Erasure Codes on Heterogeneous Multicore Architectures

Emmanuel Jeannot, Roman Wyrzykowski, Marcin Wozniak, 2014, HiPC 2014.

Summary of the Open European Network for High‐Performance Computing in Complex Environments

Emmanuel Jeannot, Julius Žilinskas, 2014 .

Scalable Storage I/O Software for Blue Gene Architectures

Florin Isaila, Javier García, Emmanuel Jeannot, 2014, HiPC 2014.

Models and algorithms for global optimization : essays dedicated to Antanas Zilinskas on the occasion of his 60th birthday

Aimo Törn, Julius Žilinskas, A Zhilinskas, 2007 .

Design and Optimization of Scientific Applications for Highly Heterogeneous and Hierarchical HPC Platforms Using Functional Computation Performance Models

Emmanuel Jeannot, Leonel Sousa, Ziming Zhong, 2014, HiPC 2014.

Resource Management for HPC on the Cloud

Dana Petcu, Emmanuel Jeannot, Julius Žilinskas, 2014, HiPC 2014.

Applications of Visualization

Gintautas Dzemyda, Olga Kurasova, Julius Žilinskas, 2013 .

Efficient Application of Hybrid Parallelism in Electromagnetism Problems

Emmanuel Jeannot, Domingo Giménez, Alejandro Alvarez-Melcon, 2014, HiPC 2014.

Parallel Algorithms for Parabolic Problems on Graphs in Neuroscience

Emmanuel Jeannot, Raimondas Čiegis, Julius Žilinskas, 2014, HiPC 2014.

Multidimensional Data and the Concept of Visualization

Gintautas Dzemyda, Olga Kurasova, Julius Žilinskas, 2013 .

Non-Convex Multi-Objective Optimization

Panos M. Pardalos, Julius Žilinskas, Antanas Žilinskas, 2017 .

Wiley Series on Parallel and Distributed Computing

Emmanuel Jeannot, Julius Žilinskas, 2014 .

Simplicial Global Optimization

Remigijus Paulavičius, Julius Žilinskas, J. Žilinskas, 2014 .

Combining Multidimensional Scaling with Artificial Neural Networks

Gintautas Dzemyda, Olga Kurasova, Julius Žilinskas, 2013 .

Global optimization using the branch‐and‐bound algorithm with a combination of Lipschitz bounds over simplices

Remigijus Paulavičius, Julius Žilinskas, R. Paulavičius, 2009 .

Branch and bound with simplicial partitions for global optimization

Julius Žilinskas, J. Žilinskas, 2008 .

On multidimensional scaling with Euclidean and city block metrics

Julius Žilinskas, Antanas Žilinskas, 2006 .

OPTIMIZATION OF BIOMASS PRODUCTION IN FED-BATCH CULTURE BY FEED AND DILUTION CONTROL ACTIONS

Rimvydas Simutis, Donatas Levišauskas, Julius Žilinskas, 2006 .

Multi-objective single agent stochastic search in non-dominated sorting genetic algorithm

Pilar Martínez Ortigosa, P. M. Ortigosa, Julius Žilinskas, 2013 .

Analysis of different norms and corresponding Lipschitz constants for global optimization in multidi

Remigijus Paulavičius, Julius Žilinskas, 2007 .

REDUCING OF SEARCH SPACE OF MULTIDIMENSIONAL SCALING PROBLEMS WITH DATA EXPOSING SYMMETRIES

Julius Žilinskas, J. Žilinskas, 2022 .

On visualization of multidimensional data using three‐dimensional embedding space

Julius Žilinskas, Antanas Žilinskas, 2006 .

Improved Lipschitz bounds with the first norm for function values over multidimensional simplex

Julius Žilinskas, J. Zilinskas, R. Paulavièius, 2008 .

A Global Optimization Method Based on the Reduced Simplicial Statistical Model

Julius Žilinskas, Antanas Žilinskas, J. Žilinskas, 2011 .

P-algorithm based on a simplicial statistical model of multimodal functions

Julius Žilinskas, Antanas Žilinskas, J. Žilinskas, 2010 .

Parallel Branch and Bound Algorithm with Combination of Lipschitz Bounds over Multidimensional Simplices for Multicore Computers

Remigijus Paulavičius, Julius Žilinskas, 2009 .

Influence of Lipschitz bounds on the speed of global optimization

Remigijus Paulavičius, Julius Žilinskas, J. Zilinskas, 2012 .

A Survey of Methods for the Estimation Ranges of Functions Using Interval Arithmetic

Ian David Lockhart Bogle, Julius Žilinskas, 2007 .

MULTIDIMENSIONAL SCALING IN PROTEIN AND PHARMACOLOGICAL SCIENCES

Julius Žilinskas, 2006 .