Jaroslaw Zola

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 31

Top Topics

Bipartite Graph

Dynamic Programming Algorithms

Manifold Learning

Top Venues

IPDPS Workshops

Publications

Subhadeep Karan, Zainul Abideen Sayed, Jaroslaw Zola
End-to-End Bayesian Networks Exact Learning in Shared Memory. IEEE Trans. Parallel Distributed Syst. 35 (4) (2024)
Zainul Abideen Sayed, Jaroslaw Zola
SCoOL - Scalable Common Optimization Library. HiPC (2023)
Asif Imran, Tevfik Kosar, Jaroslaw Zola, Muhammed Fatih Bulut
Predicting the Impact of Batch Refactoring Code Smells on Application Resource Consumption. CoRR (2023)
Pawel Bratek, Lukasz Szustak, Jaroslaw Zola
Parallel Auto-Scheduling of Counting Queries in Machine Learning Applications on HPC Systems. Euro-Par Workshops (2023)
Vicky Zheng, Ahmet Erdem Sariyüce, Jaroslaw Zola
Identifying Taxonomic Units in Metagenomic DNA Streams on Mobile Devices. IEEE ACM Trans. Comput. Biol. Bioinform. 20 (2) (2023)
Andrew J. Mikalsen, Jaroslaw Zola
Coriolis: enabling metagenomic classification on lightweight mobile devices. Bioinform. 39 (Supplement-1) (2023)
Bekir Oguzhan Turkkan, Ting Dai, Adithya Raman, Tevfik Kosar, Changyou Chen, Muhammed Fatih Bulut, Jaroslaw Zola, Daby Sow
GreenABR: energy-aware adaptive bitrate streaming with deep reinforcement learning. MMSys (2022)
Jason Niu, Jaroslaw Zola, Ahmet Erdem Sariyüce
Counting Induced 6-Cycles in Bipartite Graphs. ICPP (2022)
Devyani Jivani, Jaroslaw Zola, Baskar Ganapathysubramanian, Olga Wodo
GraSPI: Extensible software for the graph-based quantification of morphology in organic electronics. SoftwareX 17 (2022)
Sarah Mullin, Jaroslaw Zola, Robert Lee, Jinwei Hu, Brianne Mackenzie, Arlen Brickman, Gabriel Anaya, Shyamashree Sinha, Angie Li, Peter L. Elkin
Longitudinal K-means approaches to clustering and analyzing EHR opioid use trajectories for clinical subtypes. J. Biomed. Informatics 122 (2021)
Namit Juneja, Jaroslaw Zola, Varun Chandola, Olga Wodo
Graph-based Strategy for Establishing Morphology Similarity. SSDBM (2021)
Pawel Bratek, Lukasz Szustak, Jaroslaw Zola
Parallelization and Auto-scheduling of Data Access Queries in ML Workloads. Euro-Par Workshops (2021)
Frank Schoeneman, Varun Chandola, Nils Napp, Olga Wodo, Jaroslaw Zola
Learning Manifolds from Dynamic Process Data. Algorithms 13 (2) (2020)
Mohammad Mahdi Javanmard, Zafar Ahmad, Jaroslaw Zola, Louis-Noël Pouchet, Rezaul Chowdhury, Robert J. Harrison
Efficient Execution of Dynamic Programming Algorithms on Apache Spark. CLUSTER (2020)
Frank Schoeneman, Jaroslaw Zola
Solving All-Pairs Shortest-Paths Problem in Large Graphs Using Apache Spark. ICPP (2019)
Frank Schoeneman, Jaroslaw Zola
Performance of All-Pairs Shortest-Paths Solvers with Apache Spark. CoRR (2019)
Steven Y. Ko, Lauren Sassoubre, Jaroslaw Zola
Applications and Challenges of Real-time Mobile DNA Analysis. HotMobile (2018)
Frank Schoeneman, Varun Chandola, Nils Napp, Olga Wodo, Jaroslaw Zola
Entropy-Isomap: Manifold Learning for High-dimensional Dynamic Processes. CoRR (2018)
Marina Blanton, Ah Reum Kang, Subhadeep Karan, Jaroslaw Zola
Privacy Preserving Analytics on Distributed Medical Data. CoRR (2018)
Subhadeep Karan, Matthew Eichhorn, Blake Hurlburt, Grant Iraci, Jaroslaw Zola
Fast Counting in Machine Learning Applications. UAI (2018)
Subhadeep Karan, Matthew Eichhorn, Blake Hurlburt, Grant Iraci, Jaroslaw Zola
Fast Counting in Machine Learning Applications. CoRR (2018)
Frank Schoeneman, Jaroslaw Zola
Scalable Manifold Learning for Big Data with Apache Spark. CoRR (2018)
Frank Schoeneman, Varun Chandola, Nils Napp, Olga Wodo, Jaroslaw Zola
Entropy-Isomap: Manifold Learning for High-dimensional Dynamic Processes. IEEE BigData (2018)
Frank Schoeneman, Jaroslaw Zola
Scalable Manifold Learning for Big Data with Apache Spark. IEEE BigData (2018)
Frank Schoeneman, Suchismit Mahapatra, Varun Chandola, Nils Napp, Jaroslaw Zola
Error Metrics for Learning Reliable Manifolds from Streaming Data. SDM (2017)
Subhadeep Karan, Jaroslaw Zola
Scalable Exact Parent Sets Identification in Bayesian Networks Learning with Apache Spark. HiPC (2017)
Steven Y. Ko, Lauren Sassoubre, Jaroslaw Zola
Applications and Challenges of Real-time Mobile DNA Analysis. CoRR (2017)
Subhadeep Karan, Jaroslaw Zola
Scalable Exact Parent Sets Identification in Bayesian Networks Learning with Apache Spark. CoRR (2017)
Srinivas Aluru, David A. Bader, Ananth Kalyanaraman, Jaroslaw Zola
HiCOMB Introduction and Committees. IPDPS Workshops (2016)
Subhadeep Karan, Jaroslaw Zola
Exact structure learning of Bayesian networks by optimal path extension. IEEE BigData (2016)
Subhadeep Karan, Jaroslaw Zola
Exact Structure Learning of Bayesian Networks by Optimal Path Extension. CoRR (2016)
Sai Kiranmayee Samudrala, Jaroslaw Zola, Srinivas Aluru, Baskar Ganapathysubramanian
Parallel Framework for Dimensionality Reduction of Large-Scale Datasets. Sci. Program. 2015 (2015)
Javier Diaz Montes, Yu Xie, Ivan Rodero, Jaroslaw Zola, Baskar Ganapathysubramanian, Manish Parashar
Federated Computing for the Masses-Aggregating Resources to Tackle Large-Scale Engineering Problems. Comput. Sci. Eng. 16 (4) (2014)
Jaroslaw Zola
Constructing Similarity Graphs from Large-Scale Biological Sequence Collections. IPDPS Workshops (2014)
Olga Nikolova, Jaroslaw Zola, Srinivas Aluru
Parallel globally optimal structure learning of Bayesian networks. J. Parallel Distributed Comput. 73 (8) (2013)
Jaroslaw Zola, David A. Bader, Srinivas Aluru
HiCOMB Introduction. IPDPS Workshops (2013)
Ananth Kalyanaraman, Jaroslaw Zola
International Workshop on Big Data in Life Sciences. ICCABS (2013)
Xiao Yang, Jaroslaw Zola, Srinivas Aluru
Large-Scale metagenomic sequence Clustering on Map-Reduce Clusters. J. Bioinform. Comput. Biol. 11 (1) (2013)
Xiao Yang, Jaroslaw Zola, Srinivas Aluru
Parallel Metagenomic Sequence Clustering Via Sketching and Maximal Quasi-clique Enumeration on Map-Reduce Clouds. IPDPS (2011)
Abhinav Sarje, Jaroslaw Zola, Srinivas Aluru
Accelerating Pairwise Computations on Cell Processors. IEEE Trans. Parallel Distributed Syst. 22 (1) (2011)
Jaroslaw Zola, Maneesha Aluru, Abhinav Sarje, Srinivas Aluru
Parallel Information-Theory-Based Construction of Genome-Wide Gene Regulatory Networks. IEEE Trans. Parallel Distributed Syst. 21 (12) (2010)
Jaroslaw Zola, Abhinav Sarje, Srinivas Aluru
Constructing Gene Regulatory Networks on Clusters of Cell Processors. ICPP (2009)
Olga Nikolova, Jaroslaw Zola, Srinivas Aluru
A parallel algorithm for exact Bayesian network inference. HiPC (2009)
Michael Ott, Jaroslaw Zola, Srinivas Aluru, Andrew D. Johnson, Daniel Janies, Alexandros Stamatakis
Large-scale phylogenetic analysis on current HPC architectures. Sci. Program. 16 (2-3) (2008)
Jaroslaw Zola, Maneesha Aluru, Srinivas Aluru
Parallel Information Theory Based Construction of Gene Regulatory Networks. HiPC (2008)
Jaroslaw Zola, Xiao Yang, Adrian Rospondek, Srinivas Aluru
PARALLEL-TCOFFEE: A parallel multiple sequence aligner. PDCS (2007)
Michael Ott, Jaroslaw Zola, Alexandros Stamatakis, Srinivas Aluru
Large-scale maximum likelihood-based phylogenetic analysis on the IBM BlueGene/L. SC (2007)
Jaroslaw Zola, Denis Trystram, Andrei Tchernykh, Carlos A. Brizuela
Parallel multiple sequence alignment with local phylogeny search by simulated annealing. IPDPS (2006)
Gilles Parmentier, Denis Trystram, Jaroslaw Zola
Large scale multiple sequence alignment with simultaneous phylogeny inference. J. Parallel Distributed Comput. 66 (12) (2006)
Denis Trystram, Jaroslaw Zola
Parallel Multiple Sequence Alignment with Decentralized Cache Support. Euro-Par (2005)
Gilles Parmentier, Denis Trystram, Jaroslaw Zola
Cache-Based Parallelization of Multiple Sequence Alignment Problem. Euro-Par (2004)
Jaroslaw Zola
CaLi, Efficient Library for Cache Implementation. ENC (2004)
Jaroslaw Zola, Roman Wyrzykowski
EPL-Julia the High-Performance Library for Evolutionary Computations. PPAM (2001)