Journals And Conference Proceedings (Peer-reviewed)

Erhan Tezcan, Tugba Torun, Fahrican Koşar, Kamer Kaya, and Didem Unat (2022). Mixed and Multi-Precision SpMV for GPUs with Row-wise Precision Selection. IEEE 34th International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD’22), November 2-5, 2022, Bordeaux, France.
M.A. Sasongko, M. Chabbi, M.B. Marzijarani and D.Unat, ReuseTracker: Fast Yet Accurate Multicore Reuse Distance Analyzer in ACM Transactions on Architecture and Code Optimization, Volume 19, Issue 1, March 2022 Article No.: 3pp 1–25
A. Dubey, M. Berzins, C. Burstedde, M. L. Norman, D. Unat and M. Wahib, “Structured Adaptive Mesh Refinement Adaptations to Retain Performance Portability With Increasing Heterogeneity“, in Computing in Science & Engineering, vol. 23, no. 5, pp. 62-66, 1 Sept.-Oct. 2021, doi: 10.1109/MCSE.2021.3099603.
Fareed Qararyah, Mohamed Wahib, Doğa Dikbayır, Mehmet Esat Belviranli, Didem Unat, “A computational-graph partitioning method for training memory-constrained DNNs“, Elsevier Parallel Computing, 2021
Najeeb Ahmad, Buse Yılmaz, Didem Unat, “A Split Execution Model for SpTRSV“, IEEE Transactions on Parallel and Distributed Systems, 2021, Paper
Palwisha Akhtar, Erhan Tezcan, Fareed Mohammad Qararyah, Didem Unat, “ComScribe: Identifying Intra-node GPU Communication“, BENCH’20, November 2020 GitHub, Paper, Presentation, Video
Najeeb Ahmad, Buse Yilmaz, Didem Unat, “A Prediction Framework for Fast Sparse Triangular Solves“, 26th European International Conference on Parallel and Distributed Computing, Europar’20, August 2020 (acceptance rate: 24.5%), Best Artifact Award. GitHub, Paper, Presentation, Video
Buse Yilmaz, Bugra Sipahioglu, Najeeb Ahmad, Didem Unat, “Adaptive Level Binning: A New Algorithm for Solving Sparse Triangular Systems“, 2020 ACM International Conference on High Performance. Computing in Asia-Pacific Region. HPCAsia 2020.
Burak Bastem, Didem Unat, “Tiling-Based Programming Model for Structured Grids on GPU Clusters“, 2020 ACM International Conference on High Performance. Computing in Asia-Pacific Region. HPCAsia 2020, Paper
Aditya Sasongko, Palwisha Akhtar, Milind Chabbi, Didem Unat, “ComDetective: A Lightweight Communication Detection Tool for Threads“, 2019 IEEE/ACM Supercomputing Conference, acceptance rate: 22.7% (78/344)), Best Student Paper and Best Paper finalist for SC19. Tool is available at Github, Paper
Nufail Farooqi, Tan Nguyen, Weiqun Zhang, Ann Almgren, John Shalf, and Didem Unat, “Phase Asynchronous AMR Execution for Productive and Performant Astrophysical Flow“, IEEE/ACM Supercomputing Conference, SC 2018
Mohammad Laghari, Najeeb Ahmad, and Didem Unat. “Phase-Based Data Placement Scheme for Heterogeneous Memory Systems“, The International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD) 2018. Presentation, Paper
Hassan Salehe Matar and Didem Unat, “Runtime Determinacy Race Detection for OpenMP Tasks“, The 24th European International Conference on Parallel and Distributed Computing, Europar’18, August 2018, Paper
N. Soomro, M. A. Sasongko, D. Unat, BindMe: A Thread Binding Library with Advanced Mapping Algorithms, Concurrency and Computation: Practice and Experience, Vol 30, Issue 21, June 2018
Dikbayir, B.E. Coban, I. Kesen, D. Yuret, D. Unat, Fast Multidimensional Reduction and Broadcast Operations on GPU for Machine Learning , Concurrency and Computation: Practice and Experience, Vol 30, Issue 21, May 2018, Paper
Najeeb Ahmad, Muhammad Nufail Farooqi and Didem Unat, Load Balancing for Parallel Multiphase Flow Simulation Scientific Programming, Volume 2018 (2018), Article ID 6387049, 14 pages
Matar, E. Mutlu, S. Tasiran, D. Unat. Output Nondeterminism Detection for Programming Models Combining Dataflow with Shared Memory , Parallel Computing, Volume 71, January 2018, Pages 42–57
Mohammad Laghari and Didem Unat. “Object Placement for High Bandwidth Memory Augmented with High Capacity Memory“, The International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD) 2017. (32% acceptance rate) Paper
Matar, S. Tasiran, D. Unat. “EmbedSanitizer: Runtime Race Detection Tool for 32-bit Embedded ARM“, the 17th International Conference on Runtime Verification, RV’17. Slides, Poster, Paper
Burak Bastem, Didem Unat, Weiqun Zhang, Ann Almgren, and John Shalf. “Overlapping Data Transfers with Computation on GPU with Tiles“, The 46th International Conference on Parallel Processing, ICPP 2017. Presentation, Paper (28.4% acceptance rate)
Unat et al. “Trends in Data Locality Abstractions for HPC Systems“, IEEE Transactions on Parallel and Distributed Systems, IEEE TPDS 2017. Paper
Nufail Farooqi, Didem Unat, Tan Nguyen, Weiqun Zhang, Ann Almgren and John Shalf. “Nonintrusive AMR Asynchrony for Communication Optimization“, The 23rd European International Conference on Parallel and Distributed Computing, Europar 2017 (30% acceptance rate) Paper
Unat. “Access Pattern-Aware Data Placement for Hybrid DRAM/NVM“, Turkish Journal of Electrical Engineering and Computer Sciences, (2017) 25: 3355 – 3366
Farooqi, D. Izbassarov, M. Muradoğlu, D. Unat. “Communication Analysis and Optimization of 3D Front Tracking Method for Multiphase Flow Simulations“, at International Journal of High Performance Computing Applications, IJHPCA 2017. Paper
Nguyen, D. Unat, W. Zhang, N. Farooqi, A. Almgren, J. Shalf, “Perilla: metadata-based optimizations of an asynchronous runtime for adaptive mesh refinement“, IEEE/ACM Supercomputing (SC), 2016 (18% acceptance rate)
Zhang, A. Almgren, M. Day, T. Nguyen, J. Shalf, D. Unat, “BoxLib with Tiling: An AMR Software Framework“, SIAM Journal of Scientific Computing, 38(5), S156–S172. (SISC), 2016
Unat, T. Nguyen, N. Farooqi, B, Bastem, W. Zhang, A. Almgren, J. Shalf, “TiDA: High-Level Programming Abstractions for Data Locality Management“, International Supercomputing Conference (ISC), 2016
Didem Unat, Cy Chan, Weiqun Zhang, Samuel Williams, John Bachan, John Bell, John Shalf, “ExaSAT: An Exascale Co-Design Tool for Performance Modeling“, International Journal of High Performance Computing Applications (IJHPCA), February, 2015
Han Suk Kim, Didem Unat, Scott Baden, Jurgen Schulze, “A new approach to interactive viewpoint selection for volume data sets“, Information Visualization, February 25, 2013,
Cy Chan, Didem Unat, Michael Lijewski, Weiqun Zhang, John Bell, John Shalf, “Software Design Space Exploration for Exascale Combustion Co-Design“, International Supercomputing Conference (ISC), Leipzig, Germany, June 16, 2013,
Mitesh Meswani, Laura Carrington, Didem Unat, Allan Snavely, Scott Baden, Stephen Poole, “Modeling and predicting performance of high performance computing applications on hardware accelerators“, International Journal of High Performance Computing Applications, December 28, 2012
Mitesh R. Meswani, Laura Carrington, Didem Unat, Allan Snavely, Scott B. Baden, Stephen Poole, “Modeling and Predicting Performance of High Performance Computing Applications on Hardware Accelerators“, IPDPS Workshops, IEEE Computer Society, 2012
Jun Zhou, Didem Unat, Dong Ju Choi, Clark C. Guest, Yifeng Cui, “Hands-on Performance Tuning of 3D Finite Difference Earthquake Simulation on GPU Fermi Chipset“, Procedia CS, 2012, Vol 9:976-985
Didem Unat, Jun Zhou, Yifeng Cui, Scott B. Baden, Xing Cai, “Accelerating a 3D Finite Difference Earthquake Simulation with a C-to-CUDA Translator“, Computing in Science and Engineering, May 2012, Vol 14:48-59
Han Suk Kim, Didem Unat, Scott B. Baden, Jurgen P. Schulze, “Interactive Data-centric Viewpoint Selection“, Visualization and Data Analysis, Proc. SPIE 8294, January 2012
Mitesh R. Meswani, Laura Carrington, Didem Unat, Joshua Peraza, Allan Snavely, Scott Baden, Stephen Poole,” Modeling and Predicting Application Performance on Hardware Accelerators“, International Symposium on Workload Characterization (IISWC), IEEE, November 2011
Didem Unat, Xing Cai, Scott B. Baden, “Mint: realizing CUDA performance in 3D stencil methods with annotated C“, ICS ’11 Proceedings of the international conference on Supercomputing, ACM, June 2011, 214-224
Didem Unat, Theodore Hromadka III, Scott B. Baden, “An Adaptive Sub-sampling Method for In-memory Compression of Scientific Data“, DCC, IEEE Computer Society, 2009