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Publications from Zotero

Dinh, M. N., Jin, C., Abramson, D., & Jeffery, C. L. (2016). Runtime verification of scientific computing: towards an extreme scale. In Workshop on Extreme-Scale Programming Tools (ESPT) (pp. 26–33). Salt Lake City, UT, United States. Retrieved from http://espace.library.uq.edu.au/view/UQ:443889
Dinh, M. N., Abramson, D., & Jin, C. (2016). Runtime verification of scientific codes using statistics. In International Conference on Computational Science, ICCS 2016 (pp. 1473–1484). San Diego, CA, United States. Retrieved from http://espace.library.uq.edu.au/view/UQ:401306
Jin, C., de Supinski, B. R., Abramson, D., Poxon, H., DeRose, L., Dinh, M. N., … Jessup, E. R. (2016). A survey on software methods to improve the energy efficiency of parallel computing. International Journal of High Performance Computing Applications, 31(6), 517–549. Retrieved from http://espace.library.uq.edu.au/view/UQ:607474
Abramson, D., Carroll, J., Jin, C., & Mallon, M. (2017). A metropolitan area infrastructure for data intensive science. In Annual IEEE International Conference on e-Science (e-Science) (pp. 238–247). Auckland, New Zealand. Retrieved from http://espace.library.uq.edu.au/view/UQ:724543
Nguyen, H. A., Van Iperen, Z., Raghunath, S., Abramson, D., Kipouros, T., & Somasekharan, S. (2017). Multi-objective optimisation in scientific workflow. In International Conference on Computational Science (ICCS) (pp. 1443–1452). Zurich, Switzerland. Retrieved from http://espace.library.uq.edu.au/view/UQ:677873
Subramanian, R., Allison, L., Stuckey, P. J., de la Banda, M. G., Abramson, D., Lesk, A. M., & Konagurthu, A. S. (2017). Statistical compression of protein folding patterns for inference of recurrent substructural themes. In Data Compression Conference (DCC) (pp. 340–349). Snowbird, UT. United States. Retrieved from http://espace.library.uq.edu.au/view/UQ:674337
Eyers, D., Abramson, D., & Dobbie, G. (2017). Message from the program committee chairs. Proceedings - 13th IEEE International Conference on EScience, EScience 2017, 1. Retrieved from http://espace.library.uq.edu.au/view/UQ:5aa2c7b
Endrei, M., Jin, C., Dinh, M. N., Abramson, D., Poxon, H., DeRose, L., & de Supinski, B. R. (2018). Energy efficiency modeling of parallel applications. In SC18: International Conference for High Performance Computing, Networking, Storage, and Analysis (pp. 212–224). Dallas, Texas, United States. Retrieved from http://espace.library.uq.edu.au/view/UQ:c71ffd3
Endrei, M., Jin, C., Dinh, M., Abramson, D., Poxon, H., DeRose, L., & De Supinski, B. R. (2018). A Bottleneck-Centric Tuning Policy for Optimizing Energy in Parallel Programs. Advances in Parallel Computing, 32, 265–276. Retrieved from http://espace.library.uq.edu.au/view/UQ:724214
Abramson, D., & de Supinski, B. (2019). Preface. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11416 LNCS, v–vi. Retrieved from http://espace.library.uq.edu.au/view/UQ:1b82540
Endrei, M., & Abramson, D. (2019). HPC Models. Retrieved from http://espace.library.uq.edu.au/view/UQ:28a55a9
Konagurthu, A. S., Subramanian, R., Allison, L., Abramson, D., de la Banda, M. G., Stuckey, P. J., & Lesk, A. M. (2019). Information-Theoretic Inference of an Optimal Dictionary of Protein Supersecondary Structures. Methods in Molecular Biology (Clifton, N.J.), 1958, 123–131. Retrieved from http://espace.library.uq.edu.au/view/UQ:2d74d5b
Abramson, D. (2016). It’s Not my Fault! Finding Errors in Parallel Codes. In IEEE International Conference on Cluster Computing (CLUSTER) (pp. 497–497). Taipei Taiwan. Retrieved from http://espace.library.uq.edu.au/view/UQ:444215
Abramson, D. (2016). Using scientific workflows for science and engineering optimisation. In 11th Workshop on Workflows in Support of Large-Scale Science, WORKS 2016 (pp. 1–3). Salt Lake City, Utah. Retrieved from http://espace.library.uq.edu.au/view/UQ:1828328
Nguyen, H. A., Bland, L., Roberts, T., Guru, S., Dinh, M., & Abramson, D. (2017). A computational pipeline for the IUCN risk assessment for meso-American reef ecosystem. In 13th Annual IEEE International Conference on e-Science (e-Science) (pp. 286–294). Auckland, New Zealand. Retrieved from http://espace.library.uq.edu.au/view/UQ:724540
Abramson, D., Carroll, J., Jin, C., Mallon, M., van Iperen, Z., Nguyen, H., … Ming, L. (2019). A Cache-based data movement infrastructure for on-demand scientific cloud computing. In Lecture Notes in Computer Science (pp. 38–56). Cham, Switzerland: Springer International Publishing. Retrieved from http://espace.library.uq.edu.au/view/UQ:4b3a059
Endrei, M., Jin, C., Dinh, M. N., Abramson, D., Poxon, H., DeRose, L., & de Supinski, B. R. (2019). Statistical and machine learning models for optimizing energy in parallel applications. International Journal of High Performance Computing Applications. Retrieved from http://espace.library.uq.edu.au/view/UQ:ef57079
Abramson, D. A. (1982). Computer hardware to support capability based addressing in a large virtual memory (PhD Thesis). Monash University. Retrieved from http://espace.library.uq.edu.au/view/UQ:314180
Keedy, J. L., Abramson, D., Rosenberg, J., & Rowe, D. M. (1982). MONDAS project stage 2: hardware designed to support software engineering techniques. In Proceedings - 9th Australian Computer Conference. (pp. 575–580). Hobart. Retrieved from http://espace.library.uq.edu.au/view/UQ:020e661
Rosenberg, J., & Abramson, D. (1985). MONADS-PC - a capability-based workstation to support software engineering. In Proceedings of the Eighteenth Hawaii International Conference on System Sciences 1985. Volume 3: Medical Information Processing. Proceedings of the Hawaii International Conference on System Science 18th, Distributed by Western Periodicals Co (pp. 222–231). Honolulu, HI United States. Retrieved from http://espace.library.uq.edu.au/view/UQ:8e217d9
Abramson, D. A., & Keedy, J. L. (1985). IMPLEMENTING A LARGE VIRTUAL MEMORY IN A DISTRIBUTED COMPUTING SYSTEM. In Proceedings of the Eighteenth Hawaii International Conference on System Sciences 1985. Volume 3: Medical Information Processing. Proceedings of the Hawaii International Conference on System Science 18th, Distributed by Western Periodicals Co (pp. 515–522). ,. Retrieved from http://espace.library.uq.edu.au/view/UQ:f4f03ca
Yap, R., Rosenberg, J., & Abramson, D. (1985). A C compilerfor a Capability Based Computer. In 9th Australian Computer Sciences Conference. Canberra, ACT, Australia. Retrieved from http://espace.library.uq.edu.au/view/UQ:9864951
Abramson, D. A., & Rosenberg, J. (1986). MICRO-ARCHITECTURE OF A CAPABILITY-BASED COMPUTER. In Proceedings - 19th Annual Workshop on Microprogramming: MICRO 19. (pp. 138–145). ,. Retrieved from http://espace.library.uq.edu.au/view/UQ:04fb68c
Abramson, D. (1982). Hardware for capability based addressing. In Proceedings - 9th Australian Computer Conference. (pp. 101–115). Hobart. Retrieved from http://espace.library.uq.edu.au/view/UQ:c594c79
Keedy, J. L., Abramson, D., Rosenberg, J., & Rowe, D. M. (1982). COMPARISON OF THE MONADS II AND III COMPUTER SYSTEMS. In Proceedings - 9th Australian Computer Conference. (pp. 581–587). ,. Retrieved from http://espace.library.uq.edu.au/view/UQ:bd39ab4
Abramson, D. (1983). MONADS II COMPUTER SYSTEMS. In Proceedings of the 6th Australian Computer Science Conference. (pp. 1–10). ,. Retrieved from http://espace.library.uq.edu.au/view/UQ:a00fda6
Rosenberg, J., & Abramson, D. A. (1986). MICROCODE DEVELOPMENT TOOLS FOR A CAPABILITY-BASED PROCESSOR. In Proceedings - 19th Annual Workshop on Microprogramming: MICRO 19. (pp. 8–14). ,. Retrieved from http://espace.library.uq.edu.au/view/UQ:341d112
Abramson, D., & Egan, G. K. (1988). OVERVIEW OF THE RMIT/CSIRO PARALLEL SYSTEMS ARCHITECTURE PROJECT. In Proceedings of the Eleventh Australian Computer Science Conference, ACSC-11. Australian Computer Science Communications; v 10, n 1. ,. Retrieved from http://espace.library.uq.edu.au/view/UQ:72076e6
Abramson, D., & Egan, G. (1990). RMIT data flow computer. A hybrid architecture. Computer Journal, 33(3), 230–240. Retrieved from http://espace.library.uq.edu.au/view/UQ:0ae4c76
Abramson, D. (1991). Constructing school timetables using simulated annealing. Sequential and parallel algorithms. Management Science, 37(1), 98–113. Retrieved from http://espace.library.uq.edu.au/view/UQ:dddcd46
Rotstayn, L., Francis, R., Abramson, D., & Dix, M. (1993). Suitability of GCM physics for execution on SIMD parallel computers. Journal of the Meteorological Society of Japan, 71(2), 297–303. Retrieved from http://espace.library.uq.edu.au/view/UQ:bcb12d9
Abramson, D., Cope, M., & McKenzie, R. (1994). Modelling photochemical pollution using parallel and distributed computing platforms. In 6th International Conference on Parallel Architectures and Languages Europe, PARLE 1994 (pp. 478–489). Athens,. Retrieved from http://espace.library.uq.edu.au/view/UQ:660b6a2
Abramson, D., & Sosic, R. (1995). Debugging tool for software evolution (pp. 206–214). Retrieved from http://espace.library.uq.edu.au/view/UQ:81a7fdb
Abramson, D., & Sosic, R. (1995). Debugging tool for software evolution. In Proceedings of the 2nd Working Conference on Reverse Engineering (pp. 282–290). ,. Retrieved from http://espace.library.uq.edu.au/view/UQ:23b67bb
Abramson, D., & McKay, A. (1995). Evaluating the performance of a SISAL implementation of the abingdon cross image processing benchmark. International Journal of Parallel Programming, 23(2), 105–134. Retrieved from http://espace.library.uq.edu.au/view/UQ:6983de9
Abramson, D., Sosic, R., Giddy, J., & Hall, B. (1995). Nimrod: a tool for performing parametised simulations using distributed workstations (pp. 112–121). Retrieved from http://espace.library.uq.edu.au/view/UQ:e24eaf7
Abramson, D., Foster, I., Michalakes, J., & Sosic, R. (1995). Relative debugging and its application to the development of large numerical models (pp. 1405–1418). Retrieved from http://espace.library.uq.edu.au/view/UQ:35e6248
Abramson, D., Dang, H., & Krishnamoorthy, M. (1996). A comparison of two methods for solving 0-1 integer programs using a general purpose simulated annealing algorithm. Annals of Operations Research, 63(1), 129–150. Retrieved from http://espace.library.uq.edu.au/view/UQ:691246
Abramson, D., Sosic, R., & Watson, G. (1996). Implementation techniques for a parallel relative debugger (pp. 218–226). Retrieved from http://espace.library.uq.edu.au/view/UQ:609fcfa
Postula, A., Chen, S., Jozwiak, L., & Abramson, D. (1998). Automated synthesis of interleaved memory systems for custom computing machines. In 24th EUROMICRO Conference, EURMIC 1998 (pp. 115–122). Vasteras,. Retrieved from http://espace.library.uq.edu.au/view/UQ:3b4f467
Abramson, D. (1992). A Very High Speed Architecture for Simulated Annealing. Computer, 25(5), 27–36. Retrieved from http://espace.library.uq.edu.au/view/UQ:616c765
Rawling, M., Francis, R., & Abramson, D. (1992). Potential performance of parallel conservative simulation of VLSI circuits and systems. In 25th Annual Symposium on Simulation, ANSS 1992 (pp. 71–81). Orlando, FL. Retrieved from http://espace.library.uq.edu.au/view/UQ:21af037
Rosenberg, J., Keedy, J. L., & Abramson, D. (1992). Addressing mechanisms for large virtual memories. Computer Journal, 35(4), 369–375. Retrieved from http://espace.library.uq.edu.au/view/UQ:4d4b50c
Rawling, M., Francis, R., & Abramson, D. (1992). Potential performance of parallel conservative simulation of VLSI circuits and systems. In Proceedings of the 25th Annual Simulation Symposium (pp. 71–81). ,. Retrieved from http://espace.library.uq.edu.au/view/UQ:e6542fb
Abramson, D. (1994). Predicting the performance of scientific applications on distributed memory multiprocessors. In Proceedings of the Scalable High-Performance Computing Conference (pp. 285–292). ,. Retrieved from http://espace.library.uq.edu.au/view/UQ:331f666
Abramson, D., & Sosic, R. (1996). A debugging and testing tool for supporting software evolution. Automated Software Engineering, 3(3–4), 369–390. Retrieved from http://espace.library.uq.edu.au/view/UQ:2cfb4d5
Abramson, D., Foster, I., Michalakes, J., & Sosič, R. (1996). Relative debugging: A New methodology for debugging scientific applications. Communications of the ACM, 39(11), 69–77. Retrieved from http://espace.library.uq.edu.au/view/UQ:9e4c6d3
Lewis, A., Abramson, D., & Simpson, R. (1997). Parallel non-linear optimization : Towards the design of a decision support system for air quality management. In 1997 ACM/IEEE Conference on Supercomputing, SC 1997. ,. Retrieved from http://espace.library.uq.edu.au/view/UQ:81b5274
Sosič, R., & Abramson, D. (1997). Guard: A relative debugger. Software - Practice and Experience, 27(2), 185–206. Retrieved from http://espace.library.uq.edu.au/view/UQ:e146c37
Abramson, D., Smith, K., Logothetis, P., & Duke, D. (1998). FPGA based implementation of a Hopfield neural network for solving constraint satisfaction problems (pp. 688–693). Retrieved from http://espace.library.uq.edu.au/view/UQ:543869d

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