Data-driven Science - 2017 Muzi, I., O’Brien, M. P., Reidl, F., & Sullivan, B. D. (2017). Being even slightly shallow makes life hard. Leibniz International Proceedings in Informatics, LIPIcs, 83. https://doi.org/10.4230/LIPIcs.MFCS.2017.79 Sullivan, B. D., & Van Der Poel, A. (2017). A fast parameterized algorithm for Co-Path Set. Leibniz International Proceedings in Informatics, LIPIcs, 63. https://doi.org/10.4230/LIPIcs.IPEC.2016.28 Asymptotic analysis of equivalences and core-structures in kronecker-style graph models. (2017). Proceedings - IEEE International Conference on Data Mining, ICDM, 829–834. https://doi.org/10.1109/ICDM.2016.81 Goodrich, T. D., Sullivan, B. D., & Humble, T. S. (2017). Optimizing Adiabatic Quantum Program Compilation using a Graph-Theoretic Framework. ArXiv. Retrieved from http://www.scopus.com/inward/record.url?eid=2-s2.0-85095056109&partnerID=MN8TOARS Muzi, I., O’Brien, M. P., Reidl, F., & Sullivan, B. D. (2017). Being even slightly shallow makes life hard. ArXiv. Retrieved from http://www.scopus.com/inward/record.url?eid=2-s2.0-85094429786&partnerID=MN8TOARS O’Brien, M. P., & Sullivan, B. D. (2017). An experimental evaluation of a bounded expansion algorithmic pipeline. ArXiv. Retrieved from http://www.scopus.com/inward/record.url?eid=2-s2.0-85092949285&partnerID=MN8TOARS Kloster, K., Kuinke, P., O’Brien, M. P., Reidl, F., Villaamil, F. S., Sullivan, B. D., & Van Der Poel, A. (2017). A practical fpt algorithm for flow decomposition and transcript assembly. ArXiv. Retrieved from http://www.scopus.com/inward/record.url?eid=2-s2.0-85094353595&partnerID=MN8TOARS Kloster, K., Král, D., & Sullivan, B. D. (2017). Walk entropy and walk-regularity. ArXiv. Retrieved from http://www.scopus.com/inward/record.url?eid=2-s2.0-85094268676&partnerID=MN8TOARS Wu, B., & Shen, X. (2017). Software-level task scheduling on GPUs. In Advances in GPU Research and Practice (pp. 83–103). https://doi.org/10.1016/b978-0-12-803738-6.00004-5 Shen, X., & Wu, B. (2017). Data placement on GPUs. In Advances in GPU Research and Practice (pp. 105–123). https://doi.org/10.1016/b978-0-12-803738-6.00005-7 Weaver, B. P., Hamada, M. S., Wilson, A. G., & Bakerman, J. E. (2017). Bayesian assurance tests for degradation data. Quality and Reliability Engineering International, 33(8), 2699–2709. https://doi.org/10.1002/QRE.2228 Chen, G., Zhang, L., Budhiraja, R., Shen, X., & Wu, Y. (2017). Efficient support of position independence on non-volatile memory. Proceedings of the 50th Annual IEEE/ACM International Symposium on Microarchitecture - MICRO-50 '17. Presented at the the 50th Annual IEEE/ACM International Symposium. https://doi.org/10.1145/3123939.3124543 Zheng, Z., Oh, C., Zhai, J., Shen, X., Yi, Y., & Chen, W. (2017). Versapipe. Proceedings of the 50th Annual IEEE/ACM International Symposium on Microarchitecture - MICRO-50 '17. Presented at the the 50th Annual IEEE/ACM International Symposium. https://doi.org/10.1145/3123939.3123978 Guan, H., Shen, X., & Krim, H. (2017). Egeria. Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis on - SC '17. Presented at the the International Conference for High Performance Computing, Networking, Storage and Analysis. https://doi.org/10.1145/3126908.3126961 Ding, Y., & Shen, X. (2017). GLORE: generalized loop redundancy elimination upon LER-notation. Proceedings of the ACM on Programming Languages, 1(OOPSLA), 1–28. https://doi.org/10.1145/3133898 Ning, L., Pittman, R., & Shen, X. (2017). LCD: A Fast Contrastive Divergence Based Algorithm for Restricted Boltzmann Machine. 2017 17TH IEEE INTERNATIONAL CONFERENCE ON DATA MINING (ICDM), pp. 1015–1020. https://doi.org/10.1109/icdm.2017.131 Zhu, Q., Wo, B., Shen, X., Shen, L., & Wang, Z. (2017). Co-Run Scheduling with Power Cap on Integrated CPU-GPU Systems. 2017 31ST IEEE INTERNATIONAL PARALLEL AND DISTRIBUTED PROCESSING SYMPOSIUM (IPDPS), pp. 967–977. https://doi.org/10.1109/ipdps.2017.124 Ding, Y. F., Ning, L., Guan, H., & Shen, X. (2017). Generalizations of the theory and deployment of triangular inequality for compiler-based strength reduction. ACM SIGPLAN Notices, 52(6), 33–48. https://doi.org/10.1145/3140587.3062377 Chen, G. Y., Zhao, Y., Shen, X., & Zhou, H. Y. (2017). EffiSha: A software framework for enabling efficient preemptive scheduling of GPU. ACM SIGPLAN Notices, 52(8), 3–16. https://doi.org/10.1145/3155284.3018748 Shen, X. (2017). Bridging the gap between memory performance and massive parallelism: The critical role of programming systems innovations (keynote). ACM SIGPLAN Notices, 52(9), 1–1. https://doi.org/10.1145/3156685.3092569 Zhao, Y., Liao, C. H., & Shen, X. (2017). An infrastructure for HPC knowledge sharing and reuse. ACM SIGPLAN Notices, 52(8), 461–462. https://doi.org/10.1145/3155284.3019023 Chen, G., Ding, Y., & Shen, X. (2017). Sweet KNN: An Efficient KNN on GPU through Reconciliation between Redundancy Removal and Regularity. 2017 IEEE 33RD INTERNATIONAL CONFERENCE ON DATA ENGINEERING (ICDE 2017), pp. 621–632. https://doi.org/10.1109/icde.2017.116 Zhang, X., & Wilson, A. (2017). System Reliability and Component Importance Under Dependence: A Copula Approach. TECHNOMETRICS, 59(2), 215–224. https://doi.org/10.1080/00401706.2016.1142907 Chen, G., Shen, X., Wu, B., & Li, D. (2017). Optimizing Data Placement on GPU Memory: A Portable Approach. IEEE Transactions on Computers, 66(3), 473–487. https://doi.org/10.1109/tc.2016.2604372 Iamsasri, T., Guerrier, J., Esteves, G., Fancher, C. M., Wilson, A. G., Smith, R. C., … Jones, J. L. (2017). A Bayesian approach to modeling diffraction profiles and application to ferroelectric materials. Journal of Applied Crystallography, 50, 211–220. Wilson, A. G., & Fronczyk, K. M. (2017). Bayesian reliability: Combining information. Quality Engineering, 29(1), 119–129. Zhu, Q., Wu, B., Shen, X., Shen, K., Shen, L., & Wang, Z. (2017). Understanding co-run performance on CPU-GPU integrated processors: observations, insights, directions. Frontiers of Computer Science, 11(1), 130–146. https://doi.org/10.1007/s11704-016-5468-8