Hristo N. Djidjev

ORCID

Publication Activity (10 Years)

Years Active: 1986-2023
Publications (10 Years): 72

Top Venues

CoRR

ICRC

Algorithms

Publications

Hristo N. Djidjev
Logical qubit implementation for quantum annealing: augmented Lagrangian approach. CoRR (2023)
Manish Bhattarai, Namita Kharat, Ismael Boureima, Erik Skau, Benjamin T. Nebgen, Hristo N. Djidjev, Sanjay V. Rajopadhye, James P. Smith, Boian S. Alexandrov
Distributed non-negative RESCAL with automatic model selection for exascale data. J. Parallel Distributed Comput. 179 (2023)
Elijah Pelofske, Georg Hahn, Hristo N. Djidjev
Initial state encoding via reverse quantum annealing and h-gain features. CoRR (2023)
Hristo N. Djidjev
Quantum annealing with inequality constraints: the set cover problem. CoRR (2023)
Elijah Pelofske, Georg Hahn, Hristo N. Djidjev
Solving larger maximum clique problems using parallel quantum annealing. Quantum Inf. Process. 22 (5) (2023)
Georg Hahn, Elijah Pelofske, Hristo N. Djidjev
Posiform Planting: Generating QUBO Instances for Benchmarking. CoRR (2023)
Georg Hahn, Elijah Pelofske, Hristo N. Djidjev
Posiform planting: generating QUBO instances for benchmarking. Frontiers Comput. Sci. 5 (2023)
Nasrin Akhter, Kazi Lutful Kabir, Gopinath Chennupati, Raviteja Vangara, Boian S. Alexandrov, Hristo N. Djidjev, Amarda Shehu
Improved Protein Decoy Selection via Non-Negative Matrix Factorization. IEEE ACM Trans. Comput. Biol. Bioinform. 19 (3) (2022)
Elijah Pelofske, Georg Hahn, Hristo N. Djidjev
Solving Larger Optimization Problems Using Parallel Quantum Annealing. CoRR (2022)
Elijah Pelofske, Georg Hahn, Hristo N. Djidjev
Noise Dynamics of Quantum Annealers: Estimating the Effective Noise Using Idle Qubits. CoRR (2022)
Ismael Boureima, Manish Bhattarai, Maksim Ekin Eren, Nick Solovyev, Hristo N. Djidjev, Boian S. Alexandrov
Distributed Out-of-Memory SVD on CPU/GPU Architectures. CoRR (2022)
Manish Bhattarai, Namita Kharat, Erik Skau, Benjamin T. Nebgen, Hristo N. Djidjev, Sanjay V. Rajopadhye, James P. Smith, Boian S. Alexandrov
Distributed non-negative RESCAL with Automatic Model Selection for Exascale Data. CoRR (2022)
Elijah Pelofske, Georg Hahn, Hristo N. Djidjev
Inferring the Dynamics of the State Evolution During Quantum Annealing. IEEE Trans. Parallel Distributed Syst. 33 (2) (2022)
Ismael Boureima, Manish Bhattarai, Maksim Ekin Eren, Nick Solovyev, Hristo N. Djidjev, Boian S. Alexandrov
Distributed Out-of-Memory SVD on CPU/GPU Architectures. HPEC (2022)
Elijah Pelofske, Georg Hahn, Hristo N. Djidjev
Decomposition Algorithms for Solving NP-hard Problems on a Quantum Annealer. J. Signal Process. Syst. 93 (4) (2021)
Aaron Barbosa, Elijah Pelofske, Georg Hahn, Hristo N. Djidjev
Using Machine Learning for Quantum Annealing Accuracy Prediction. Algorithms 14 (6) (2021)
Aaron Barbosa, Elijah Pelofske, Georg Hahn, Hristo N. Djidjev
Using machine learning for quantum annealing accuracy prediction. CoRR (2021)
Elijah Pelofske, Georg Hahn, Daniel O'Malley, Hristo N. Djidjev, Boian S. Alexandrov
Boolean Hierarchical Tucker Networks on Quantum Annealers. LSSC (2021)
Elijah Pelofske, Georg Hahn, Hristo N. Djidjev
Parallel Quantum Annealing. CoRR (2021)
Elijah Pelofske, Georg Hahn, Hristo N. Djidjev
Reducing quantum annealing biases for solving the graph partitioning problem. CoRR (2021)
Elijah Pelofske, Georg Hahn, Hristo N. Djidjev
Reducing quantum annealing biases for solving the graph partitioning problem. CF (2021)
Elijah Pelofske, Georg Hahn, Daniel O'Malley, Hristo N. Djidjev, Boian S. Alexandrov
Quantum Annealing Algorithms for Boolean Tensor Networks. CoRR (2021)
Raviteja Vangara, Manish Bhattarai, Erik Skau, Gopinath Chennupati, Hristo N. Djidjev, Thomas Tierney, James P. Smith, Valentin G. Stanev, Boian S. Alexandrov
Finding the Number of Latent Topics With Semantic Non-Negative Matrix Factorization. IEEE Access 9 (2021)
Elijah Pelofske, Georg Hahn, Daniel O'Malley, Hristo N. Djidjev, Boian S. Alexandrov
Boolean Hierarchical Tucker Networks on Quantum Annealers. CoRR (2021)
Nasrin Akhter, Gopinath Chennupati, Hristo N. Djidjev, Amarda Shehu
Decoy selection for protein structure prediction via extreme gradient boosting and ranking. BMC Bioinform. (1) (2020)
Kazi Lutful Kabir, Gopinath Chennupati, Raviteja Vangara, Hristo N. Djidjev, Boian S. Alexandrov, Amarda Shehu
Decoy Selection in Protein Structure Determination via Symmetric Non-negative Matrix Factorization. BIBM (2020)
Elijah Pelofske, Georg Hahn, Hristo N. Djidjev
Advanced unembedding techniques for quantum annealers. CoRR (2020)
Nirmal Prajapati, Sanjay V. Rajopadhye, Hristo N. Djidjev, Nandakishore Santhi, Tobias Grosser, Rumen Andonov
Optimization Approach to Accelerator Codesign. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39 (6) (2020)
Elijah Pelofske, Georg Hahn, Hristo N. Djidjev
Decomposition algorithms for solving NP-hard problems on a quantum annealer. CoRR (2020)
Stefanie Zbinden, Andreas Bärtschi, Hristo N. Djidjev, Stephan J. Eidenbenz
Embedding Algorithms for Quantum Annealers with Chimera and Pegasus Connection Topologies. ISC (2020)
Raviteja Vangara, Erik Skau, Gopinath Chennupati, Hristo N. Djidjev, Thomas Tierney, James P. Smith, Manish Bhattarai, Valentin G. Stanev, Boian S. Alexandrov
Semantic Nonnegative Matrix Factorization with Automatic Model Determination for Topic Modeling. ICMLA (2020)
Elijah Pelofske, Georg Hahn, Hristo N. Djidjev
Advanced anneal paths for improved quantum annealing. CoRR (2020)
Gopinath Chennupati, Raviteja Vangara, Erik Skau, Hristo N. Djidjev, Boian S. Alexandrov
Distributed non-negative matrix factorization with determination of the number of latent features. J. Supercomput. 76 (9) (2020)
Elijah Pelofske, Georg Hahn, Hristo N. Djidjev
Inferring the Dynamics of the State Evolution During Quantum Annealing. CoRR (2020)
Manish Bhattarai, Gopinath Chennupati, Erik Skau, Raviteja Vangara, Hristo N. Djidjev, Boian S. Alexandrov
Distributed Non-Negative Tensor Train Decomposition. HPEC (2020)
Hector Carrillo-Cabada, Erik Skau, Gopinath Chennupati, Boian S. Alexandrov, Hristo N. Djidjev
An Out of Memory tSVD for Big-Data Factorization. IEEE Access 8 (2020)
Hristo N. Djidjev
Automaton-based methodology for implementing optimization constraints for quantum annealing. CF (2020)
Manish Bhattarai, Gopinath Chennupati, Erik Skau, Raviteja Vangara, Hristo N. Djidjev, Boian S. Alexandrov
Distributed Non-Negative Tensor Train Decomposition. CoRR (2020)
Nasrin Akhter, Gopinath Chennupati, Hristo N. Djidjev, Amarda Shehu
Decoy Selection for Protein Structure Prediction Via Extreme Gradient Boosting and Ranking. CoRR (2020)
Aaron Barbosa, Elijah Pelofske, Georg Hahn, Hristo N. Djidjev
Optimizing Embedding-Related Quantum Annealing Parameters for Reducing Hardware Bias. PAAP (2020)
Aaron Barbosa, Elijah Pelofske, Georg Hahn, Hristo N. Djidjev
Optimizing embedding-related quantum annealing parameters for reducing hardware bias. CoRR (2020)
Elijah Pelofske, Georg Hahn, Hristo N. Djidjev
Advanced anneal paths for improved quantum annealing. QCE (2020)
Elijah Pelofske, Georg Hahn, Hristo N. Djidjev
Advanced unembedding techniques for quantum annealers. ICRC (2020)
Daniel O'Malley, Hristo N. Djidjev, Boian S. Alexandrov
Tucker-1 Boolean Tensor Factorization with Quantum Annealers. ICRC (2020)
Elijah Pelofske, Georg Hahn, Hristo N. Djidjev
Optimizing the spin reversal transform on the D-Wave 2000Q. CoRR (2019)
Elijah Pelofske, Georg Hahn, Hristo N. Djidjev
Peering Into the Anneal Process of a Quantum Annealer. PDCAT (2019)
Elijah Pelofske, Georg Hahn, Hristo N. Djidjev
Optimizing the Spin Reversal Transform on the D-Wave 2000Q. ICRC (2019)
Rumen Andonov, Hristo N. Djidjev, Sebastien François, Dominique Lavenier
Complete assembly of circular and chloroplast genomes based on global optimization. J. Bioinform. Comput. Biol. 17 (3) (2019)
Elijah Pelofske, Georg Hahn, Hristo N. Djidjev
Solving large Maximum Clique problems on a quantum annealer. CoRR (2019)
Guillaume Chapuis, Hristo N. Djidjev, Georg Hahn, Guillaume Rizk
Finding Maximum Cliques on the D-Wave Quantum Annealer. J. Signal Process. Syst. 91 (3-4) (2019)
Elijah Pelofske, Georg Hahn, Hristo N. Djidjev
Solving large Minimum Vertex Cover problems on a quantum annealer. CoRR (2019)
Tomás Vyskocil, Hristo N. Djidjev
Constraint Embedding for Solving Optimization Problems on Quantum Annealers. IPDPS Workshops (2019)
Tomás Vyskocil, Hristo N. Djidjev
Embedding Equality Constraints of Optimization Problems into a Quantum Annealer. Algorithms 12 (4) (2019)
Nasrin Akhter, Raviteja Vangara, Gopinath Chennupati, Boian S. Alexandrov, Hristo N. Djidjev, Amarda Shehu
Non-Negative Matrix Factorization for Selection of Near-Native Protein Tertiary Structures. BIBM (2019)
Hristo N. Djidjev, Georg Hahn, Susan M. Mniszewski, Christian F. A. Negre, Anders M. N. Niklasson
Using Graph Partitioning for Scalable Distributed Quantum Molecular Dynamics. Algorithms 12 (9) (2019)
Elijah Pelofske, Georg Hahn, Hristo N. Djidjev
Solving large minimum vertex cover problems on a quantum annealer. CF (2019)
Elijah Pelofske, Georg Hahn, Hristo N. Djidjev
Peering into the Anneal Process of a Quantum Annealer. CoRR (2019)
Nasrin Akhter, Gopinath Chennupati, Hristo N. Djidjev, Amarda Shehu
Improved Decoy Selection via Machine Learning and Ranking. ICCABS (2018)
Tomás Vyskocil, Hristo N. Djidjev
Simple Constraint Embedding for Quantum Annealers. ICRC (2018)
Nirmal Prajapati, Sanjay V. Rajopadhye, Hristo N. Djidjev
Analytical Cost Metrics : Days of Future Past. CoRR (2018)
Georg Hahn, Hristo N. Djidjev
Reducing Binary Quadratic Forms for More Scalable Quantum Annealing. CoRR (2018)
Sebastien François, Rumen Andonov, Dominique Lavenier, Hristo N. Djidjev
Global Optimization for Scaffolding and Completing Genome Assemblies. Electron. Notes Discret. Math. 64 (2018)
Patrick J. Coles, Stephan J. Eidenbenz, Scott Pakin, Adetokunbo Adedoyin, John Ambrosiano, Petr M. Anisimov, William Casper, Gopinath Chennupati, Carleton Coffrin, Hristo N. Djidjev, David Gunter, Satish Karra, Nathan Lemons, Shizeng Lin, Andrey Y. Lokhov, Alexander Malyzhenkov, David Dennis Lee Mascarenas, Susan M. Mniszewski, Balu Nadiga, Dan O'Malley, Diane Oyen, Lakshman Prasad, Randy Roberts, Philip Romero, Nandakishore Santhi, Nikolai Sinitsyn, Pieter Swart, Marc Vuffray, Jim Wendelberger, Boram Yoon, Richard J. Zamora, Wei Zhu
Quantum Algorithm Implementations for Beginners. CoRR (2018)
Nirmal Prajapati, Sanjay V. Rajopadhye, Hristo N. Djidjev, Nandakishore Santhi, Tobias Grosser, Rumen Andonov
Accelerator Codesign as Non-Linear Optimization. CoRR (2017)
Elijah Pelofske, Georg Hahn, Hristo N. Djidjev
Solving Large Maximum Clique Problems on a Quantum Annealer. QTOP@NetSys (2017)
Tomás Vyskocil, Scott Pakin, Hristo N. Djidjev
Embedding Inequality Constraints for Quantum Annealing Optimization. QTOP@NetSys (2017)
Georg Hahn, Hristo N. Djidjev
Reducing Binary Quadratic Forms for More Scalable Quantum Annealing. ICRC (2017)
Hristo N. Djidjev, Daniel O'Malley, Hari S. Viswanathan, Jeffrey D. Hyman, Satish Karra, Gowri Srinivasan
Learning on Graphs for Predictions of Fracture Propagation, Flow and Transport. IPDPS Workshops (2017)
Nirmal Prajapati, Waruna Ranasinghe, Sanjay V. Rajopadhye, Rumen Andonov, Hristo N. Djidjev, Tobias Grosser
Simple, Accurate, Analytical Time Modeling and Optimal Tile Size Selection for GPGPU Stencils. PPOPP (2017)
Guillaume Chapuis, Hristo N. Djidjev, Georg Hahn, Guillaume Rizk
Finding Maximum Cliques on a Quantum Annealer. Conf. Computing Frontiers (2017)
Lyudmil Aleksandrov, Guillaume Chapuis, Hristo N. Djidjev
Parallel Shortest-Path Queries in Planar Graphs. HPGP@HPDC (2016)
Hristo N. Djidjev, Georg Hahn, Susan M. Mniszewski, Christian F. A. Negre, Anders M. N. Niklasson, Vivek B. Sardeshmukh
Graph Partitioning Methods for Fast Parallel Quantum Molecular Dynamics. CSC (2016)
Guillaume Chapuis, Hristo N. Djidjev
Shortest-Path Queries in Planar Graphs on GPU-Accelerated Architectures. LSSC (2015)
Hristo N. Djidjev, Guillaume Chapuis, Rumen Andonov, Sunil Thulasidasan, Dominique Lavenier
All-Pairs Shortest Path algorithms for planar graph for GPU-accelerated clusters. J. Parallel Distributed Comput. 85 (2015)
Rumen Andonov, Hristo N. Djidjev, Gunnar W. Klau, Mathilde Le Boudic-Jamin, Inken Wohlers
Automatic Classification of Protein Structure Using the Maximum Contact Map Overlap Metric. Algorithms 8 (4) (2015)
Nirmal Prajapati, Waruna Ranasinghe, Vamshi Tandrapati, Rumen Andonov, Hristo N. Djidjev, Sanjay V. Rajopadhye
Energy Modeling and Optimization for Tiled Nested-Loop Codes. IPDPS Workshops (2015)
Guillaume Chapuis, Hristo N. Djidjev
Shortest-Path Queries in Planar Graphs on GPU-Accelerated Architectures. CoRR (2015)
Guillaume Chapuis, Mathilde Le Boudic-Jamin, Rumen Andonov, Hristo N. Djidjev, Dominique Lavenier
Parallel Seed-Based Approach to Multiple Protein Structure Similarities Detection. Sci. Program. 2015 (2015)
Hristo N. Djidjev, Sunil Thulasidasan, Guillaume Chapuis, Rumen Andonov, Dominique Lavenier
Efficient Multi-GPU Computation of All-Pairs Shortest Paths. IPDPS (2014)
Inken Wohlers, Mathilde Le Boudic-Jamin, Hristo N. Djidjev, Gunnar W. Klau, Rumen Andonov
Exact Protein Structure Classification Using the Maximum Contact Map Overlap Metric. AlCoB (2014)
Lyudmil Aleksandrov, Hristo N. Djidjev, Anil Maheshwari, Jörg-Rüdiger Sack
An Approximation Algorithm for Computing Shortest Paths in Weighted 3-d Domains. Discret. Comput. Geom. 50 (1) (2013)
Hristo N. Djidjev, Melih Onus
Scalable and Accurate Graph Clustering and Community Structure Detection. IEEE Trans. Parallel Distributed Syst. 24 (5) (2013)
Hristo N. Djidjev, Lyudmil Aleksandrov
Generation of SSH Network Traffic Data for IDS Testbeds. CSET (2013)
Guillaume Chapuis, Mathilde Le Boudic-Jamin, Rumen Andonov, Hristo N. Djidjev, Dominique Lavenier
Parallel Seed-Based Approach to Protein Structure Similarity Detection. PPAM (2) (2013)
Hristo N. Djidjev, Imrich Vrt'o
Planar Crossing Numbers of Graphs of Bounded Genus. Discret. Comput. Geom. 48 (2) (2012)
Hristo N. Djidjev, Melih Onus
Using graph partitioning for efficient network modularity optimization. Graph Partitioning and Graph Clustering (2012)
Hristo N. Djidjev, Christian Sommer
Approximate Distance Queries for Weighted Polyhedral Surfaces. ESA (2011)
Lyudmil Aleksandrov, Hristo N. Djidjev, Anil Maheshwari, Jörg-Rüdiger Sack
An Approximation Algorithm for Computing Shortest Paths in Weighted 3-d Domains CoRR (2011)
Hristo N. Djidjev
A faster algorithm for computing the girth of planar and bounded genus graphs. ACM Trans. Algorithms 7 (1) (2010)
Hristo N. Djidjev
Approximation algorithms for computing minimum exposure paths in a sensor field. ACM Trans. Sens. Networks 7 (3) (2010)
Lyudmil Aleksandrov, Hristo N. Djidjev, Hua Guo, Anil Maheshwari, Doron Nussbaum, Jörg-Rüdiger Sack
Algorithms for Approximate Shortest Path Queries on Weighted Polyhedral Surfaces. Discret. Comput. Geom. 44 (4) (2010)
Hristo N. Djidjev
Efficient Computation of Minimum Exposure Paths in a Sensor Network Field. DCOSS (2007)
Hristo N. Djidjev
A Linear-Time Algorithm for Finding a Maximal Planar Subgraph. SIAM J. Discret. Math. 20 (2) (2006)
Lyudmil Aleksandrov, Hristo N. Djidjev, Hua Guo, Anil Maheshwari, Doron Nussbaum, Jörg-Rüdiger Sack
Approximate Shortest Path Queries on Weighted Polyhedral Surfaces. MFCS (2006)
Lyudmil Aleksandrov, Hristo N. Djidjev, Hua Guo, Anil Maheshwari
Partitioning planar graphs with costs and weights. ACM J. Exp. Algorithmics 11 (2006)
Hristo N. Djidjev, Imrich Vrto
Graphs. ICALP (1) (2006)
Hristo N. Djidjev
A Scalable Multilevel Algorithm for Graph Clustering and Community Structure Detection. WAW (2006)
Hristo N. Djidjev, Imrich Vrto
Crossing Numbers and Cutwidths. J. Graph Algorithms Appl. 7 (3) (2003)
Lyudmil Aleksandrov, Hristo N. Djidjev, Hua Guo, Anil Maheshwari
Partitioning Planar Graphs with Costs and Weights. ALENEX (2002)
Hristo N. Djidjev, Imrich Vrto
An Improved Lower Bound for Crossing Numbers. Graph Drawing (2001)

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Publication Activity (10 Years)

Top Topics

Top Venues

Hristo N. Djidjev