Publications

Found 4166 results
[ Author(Desc)] Title Type Year
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Zagordi, O., Töpfer A., Prabhakaran S., Roth V., Halperin E., & Beerenwinkel N. (2012).  Probabilistic Inference of Viral Quasispecies Subject to Recombination. 342-354.
Zaharia, M., Das T., Li H., Hunter T., Shenker S. J., & Stoica I. (2012).  Discretized Streams: A Fault-Tolerant Model for Scalable Stream Processing.
Zaharia, M., Das T., Li H., Shenker S. J., & Stoica I. (2012).  Discretized Streams: An Efficient and Fault-Tolerant Model for Stream Processing on Large Clusters. 1-6.
Zaharia, M., Xin R. S., Wendell P., Das T., Armbrust M., Dave A., et al. (2016).  Apache Spark: a unified engine for big data processing. Communications of the ACM. 59(11), 56-65.
Zaharia, M., Chowdhury M., Das T., Dave A., Ma J., McCauley M., et al. (2012).  Fast and Interactive Analytics Over Hadoop Data with Spark. USENIX ;login:. 34(4), 45-51.
Zaharia, M., Chowdhury M., Franklin M. J., Shenker S. J., & Stoica I. (2010).  Spark: Cluster Computing with Working Sets. 1-7.
Zaharia, M., Hindman B., Konwinski A., Ghodsi A., Joseph A. D., Katz R. H., et al. (2011).  The Datacenter Needs an Operating System. 1-5.
Zaharia, M., Katti S., Grier C., Paxson V., Shenker S. J., Stoica I., et al. (2012).  Hypervisors as a Foothold for Personal Computer Security: An Agenda for the Research Community.
Zaharia, M., Chowdhury M., Das T., Dave A., Ma J., McCauley M., et al. (2011).  Resilient Distributed Datasets: A Fault-Tolerant Abstraction for In-Memory Cluster Computing.
Zaharia, M., Chowdhury M., Das T., Dave A., Ma J., McCauley M., et al. (2012).  Resilient Distributed Datasets: A Fault-Tolerant Abstraction for In-Memory Cluster Computing. 1-14.
Zaharia, M., Borthakur D., Sarma J. Sen, Elmeleegy K., Shenker S. J., & Stoica I. (2009).  Job Scheduling for Multi-User MapReduce Clusters.
Zaharia, M., Bolosky W. J., Curtis K., Fox A., Patterson D., Shenker S. J., et al. (2011).  Faster and More Accurate Sequence Alignment with SNAP.
Zaharia, M., Borthakur D., Sarma J. Sen, Elmeleegy K., Shenker S. J., & Stoica I. (2010).  Delay Scheduling: A Simple Technique for Achieving Locality and Fairness in Cluster Scheduling. 265-278.
Zaharia, M., Chowdhury M., Franklin M. J., Shenker S. J., & Stoica I. (2010).  Spark: Cluster Computing with Working Sets.
Zaitlen, N., Kang H. Min, Eskin E., & Halperin E. (2007).  Leveraging the HapMap Correlation Structure in Association Studies. American Journal of Human Genetics. 80, 683-691.
Zaitlen, N., Kang H. Min, Feolo M. L., Sherry S. T., Halperin E., & Eskin E. (2005).  Inference and Analysis of Haplotypes from Combined Genotyping Studies Deposited in dbSNP. Genome Research. 15(11), 1594-1600.
Zaitlen, N., Pasaniuc B., Gur T., Ziv E., & Halperin E. (2010).  Leveraging Genetic Variability Across Populations for the Identification of Causal Variants. The American Journal of Human Genetics. 86(1), 23-33.
Zamir, O.., Etzioni O., Madani O.., & Karp R. M. (1997).  Fast and Intuitive Clustering of Web Documents. Proceedings of the Third International Conference on Knowledge Discovery and Data Mining. 287-290.
Zarchy, D., Mittal R., Schapira M., & Shenker S. J. (2019).   Axiomatizing Congestion Control. Proceedings of the ACM on Measurement and Analysis of Computing Systems. 3(2), 
Zaslavsky, N., Regier T., Tishby N., & Kemp C. (2019).  Semantic categories of artifacts and animals reflect efficient coding. Proceedings of the 41st Annual Meeting of the Cognitive Science Society.
Zaslavsky, N., Garvin K., Kemp C., Tishby N., & Regier T. (2019).  Evolution and efficiency in color naming: The case of Nafaanra. Proceedings of the 41st Annual Meeting of the Cognitive Science Society.

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