Selected Publications - Accessible Online

Atanas Radenski


Chapman University

Schmid College of Science and Technology

One University Drive, Orange, CA 92866



Radenski, A., L. Ehwerhemuepha, K. Anderson. From in-disk to in-memory big data with Hadoop: Performance experiments with nucleotide sequence data. Proc. ABDA'15, the International Conference on Advances in Big Data Analytics, CSREA Press (H. Arabnia and M. Yang, Ed.), 2015, pp. 34-40.

Radenski, A. Big data, high-performance computing, and MapReduce. Proc. CompSysTech '14, the 15th International Conference on Computer Systems and Technologies. ACM, New York, NY, USA, 13-24.

Radenski, A., B. Norris. MapReduce Streaming Algorithms for Laplace Relaxation on the Cloud. In M. Bader, A. Bode, H.-J. Bungartz, M. Gerndt, G. Joubert, F. Peters (Eds), Series: Advances in Parallel Computing | Volume 25: Parallel Computing: Accelerating Computational Science and Engineering, Imperial College Press, 2014, 215 - 224.

Radenski, A., L. Ehwerhemuepha, Speeding-Up Codon Analysis on the Cloud with Local MapReduce Aggregation, Information Sciences, Elsevier, 263 (2014), 175-185.

Radenski, A. Using MapReduce Streaming for Distributed Life Simulation on the Cloud, In Advances in Artificial Life, ECAL 2013, MIT Press, 2013, 284-291.

Radenski, A. Integrating Data-Intensive Cloud Computing with Multicores and Clusters in an HPC Course. In: Proceedings of the Seventeenth Annual Conference on Innovation and Technology in Computer Science Education (ITiCSE '12). ACM, New York, NY, USA, 69-74.

Radenski A. Distributed Simulated Annealing with Mapreduce. In Proceedings of the 2012th European conference on Applications of Evolutionary Computation (EvoApplications'12), Cecilia Chio, Alexandros Agapitos, Stefano Cagnoni, Carlos Cotta, and Francisco Fernández Vega (Eds.). Springer-Verlag, Berlin, Heidelberg, 466-476.

Radenski, A. Shared Memory, Message Passing, and Hybrid Merge Sorts for Standalone and Clustered SMPs. Proc. PDPTA’11, the  2011 International Conference on Parallel and Distributed Processing Techniques and Applications, CSREA Press (H. Arabnia, Ed.), 2011, pp. 367 - 373.

Radenski, A. Freedom of Choice as a Motivational factor in Active Learning. Proceedings of the Fourteenth Annual Conference on Innovation and Technology in Computer Science Education, ITiCSE 09, Université Pierre et Marie Curie, Paris, France, July 6-9, 2009, ACM Press, 21-25.

Radenski, A. Expanding Computing as an Academic Service Discipline. Computer, June 2009, Vol. 42, No 6, IEEE Computer Society, pp. 104, 101-103.

Radenski, A., J. Furlong, V. Zanev. The Java 5 Generics Compromise Orthogonality to Keep Compatibility. Journal of Systems and Software, Elsevier Science, Vol. 81, Issue 11, 2008, 2069-2078.

Radenski, A. Python First: The Joy of Success. Llumina Press, Tamarac, Florida, 2007.

Radenski, A. Digital Support for Abductive Learning in Introductory Computing Courses. Proceedings of the 38th ACM Technical Symposium on Computer Science Education, SIGCSE 07, Covington, Kentucky, USA, March 7-10, 2007, 14-18.

Radenski, A. Python First: A Lab-Based Digital Introduction to Computer Science. Proceedings of the Eleventh Annual Conference on Innovation and Technology in Computer Science Education, ITiCSE 06, University of Bologna, Italy, June 26-28, 2006, 197-201.

Radenski, A. Anomaly-Free Component Adaptation with Class Overriding, Journal of Systems and Software, Elsevier Science, Vol. 71, Issues 1-2, 2004, 37-48.

Radenski, A., B. Norris, W. Chen. A Generic All-Pairs Cluster-Computing Pipeline and Its Applications. In E. D. Hollander, C. Joubert, F. Peters, H. Sips (Eds), Parallel Computing: Fundamentals & Applications, Imperial College Press, 2000, 366-374.

Radenski, A. Derivation of Secure Parallel Applications by Means of Module Embedding. In J. Gutkneht and W. Wech (Eds), Modular Programming Languages, Springer, 2000, 26-37.

Radenski, A., A. Vann, B. Norris. Development and Utilization of Generic Algorithms for Scientific Cluster Computations. In Henderson M., C. Anderson, and S. Lyons (Eds), Object Oriented Methods for Interoperable Scientific and Engineering Computing, SIAM, 1999, 97-105.

Radenski, A., A. Vann, B. Norris. Parallel Probabilistic Computations on a Cluster of Workstations. In E. D. Hollander, C. Joubert, F. Peters, U. Trottenberg, R. Völpel (Eds), Parallel Computing: Fundamentals, Applications and New Directions, Elsevier, 1998, 105-112.

Radenski, A. Module Embedding. Software - Concepts and Tools, Vol. 19, Issue 3, 1998, Springer, 122-129.

Radenski, A. Object-Oriented Programming and Parallelism. Information Sciences, Vol. 93, Issue 1-2, 1996, North Holland, 1-7.

Radenski, A. Introducing Objects and Parallelism to an Imperative Programming Language. Information Sciences, Vol. 87, Issues 1-3, 1995, North Holland, 107-122.

Radenski, A. Is Oberon as Simple as Possible? A Smaller Language Based on the Concept of Module Type. In J. Gutknech (Ed.), Programming Languages and System Architectures, Springer, 1994, 298-312.

Radensky, A. Lazy Evaluation and Nondeterminism Make Backus' FP-systems More Practical, ACM SIGPLAN Notices, Vol. 22, N 4, 1987, ACM Press, 33-40.