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2020 – today
- 2024
[c9]Daoce Wang, Pascal Grosset, Jesus Pulido, Tushar M. Athawale, Jiannan Tian, Kai Zhao, Zarija Lukic, Axel Huebl, Zhe Wang, James P. Ahrens, Dingwen Tao:
A High-Quality Workflow for Multi-Resolution Scientific Data Reduction and Visualization. SC 2024: 85- [i11]Daoce Wang, Pascal Grosset, Jesus Pulido, Tushar M. Athawale, Jiannan Tian, Kai Zhao, Zarija Lukic, Axel Huebl, Zhe Wang, James P. Ahrens, Dingwen Tao:
A High-Quality Workflow for Multi-Resolution Scientific Data Reduction and Visualization. CoRR abs/2407.04267 (2024) - 2023
- [c8]Daoce Wang
, Jesus Pulido, Pascal Grosset, Jiannan Tian, Sian Jin, Houjun Tang, Jean M. Sexton, Sheng Di, Kai Zhao, Bo Fang, Zarija Lukic, Franck Cappello, James P. Ahrens, Dingwen Tao:
AMRIC: A Novel In Situ Lossy Compression Framework for Efficient I/O in Adaptive Mesh Refinement Applications. SC 2023: 44:1-44:15 - [i10]Pu Ren, N. Benjamin Erichson, Shashank Subramanian, Omer San, Zarija Lukic, Michael W. Mahoney:
SuperBench: A Super-Resolution Benchmark Dataset for Scientific Machine Learning. CoRR abs/2306.14070 (2023) - [i9]Daoce Wang, Jesus Pulido, Pascal Grosset, Jiannan Tian, Sian Jin, Houjun Tang, Jean M. Sexton, Sheng Di, Zarija Lukic, Kai Zhao, Bo Fang, Franck Cappello, James P. Ahrens, Dingwen Tao:
AMRIC: A Novel In Situ Lossy Compression Framework for Efficient I/O in Adaptive Mesh Refinement Applications. CoRR abs/2307.09609 (2023) - 2022
- [c7]Sian Jin, Dingwen Tao, Houjun Tang, Sheng Di, Suren Byna, Zarija Lukic, Franck Cappello:
Accelerating Parallel Write via Deeply Integrating Predictive Lossy Compression with HDF5. SC 2022: 61:1-61:15 - [d2]Zarija Lukic:
NYX COSMOLOGICAL SIMULATION DATA. IEEE DataPort, 2022
- [i8]Sian Jin, Dingwen Tao, Houjun Tang, Sheng Di, Suren Byna, Zarija Lukic, Franck Cappello:
Accelerating Parallel Write via Deeply Integrating Predictive Lossy Compression with HDF5. CoRR abs/2206.14761 (2022) - 2021
- [j3]Jean M. Sexton, Zarija Lukic, Ann S. Almgren, Christopher S. Daley, Brian Friesen, Andrew Myers, Weiqun Zhang:
Nyx: A Massively Parallel AMR Code for Computational Cosmology. J. Open Source Softw. 6(63): 3068 (2021) - [i7]Md. Abul Hayat, Peter Harrington, George Stein, Zarija Lukic, Mustafa Mustafa:
Estimating Galactic Distances From Images Using Self-supervised Representation Learning. CoRR abs/2101.04293 (2021) - [i6]Peter Harrington, Mustafa Mustafa, Max Dornfest, Benjamin Horowitz, Zarija Lukic:
Fast, high-fidelity Lyman α forests with convolutional neural networks. CoRR abs/2106.12662 (2021) - [i5]George Stein, Jacqueline Blaum, Peter Harrington, Tomislav Medan, Zarija Lukic:
Mining for strong gravitational lenses with self-supervised learning. CoRR abs/2110.00023 (2021) - [i4]George Stein, Peter Harrington, Jacqueline Blaum, Tomislav Medan, Zarija Lukic:
Self-supervised similarity search for large scientific datasets. CoRR abs/2110.13151 (2021) - 2020
- [i3]Md. Abul Hayat, George Stein, Peter Harrington, Zarija Lukic, Mustafa Mustafa:
Self-Supervised Representation Learning for Astronomical Images. CoRR abs/2012.13083 (2020)
2010 – 2019
- 2019
- [c6]Houjun Tang, Suren Byna, Stephen Bailey, Zarija Lukic, Jialin Liu, Quincey Koziol, Bin Dong:
Tuning Object-Centric Data Management Systems for Large Scale Scientific Applications. HiPC 2019: 103-112 - [d1]Zarija Lukic:
Nyx Cosmological Simulation Data. IEEE DataPort, 2019 - 2017
- [j2]Salman Habib, Vitali A. Morozov, Nicholas Frontiere, Hal Finkel, Adrian Pope, Katrin Heitmann, Kalyan Kumaran, Venkatram Vishwanath, Tom Peterka, Joseph A. Insley, David Daniel, Patricia K. Fasel, Zarija Lukic:
HACC: extreme scaling and performance across diverse architectures. Commun. ACM 60(1): 97-104 (2017) - [c5]Erich Lohrmann, Zarija Lukic, Dmitriy Morozov, Juliane Müller:
Programmable In Situ System for Iterative Workflows. JSSPP 2017: 122-131 - [i2]Mustafa Mustafa, Deborah Bard, Wahid Bhimji, Rami Al-Rfou, Zarija Lukic:
Creating Virtual Universes Using Generative Adversarial Networks. CoRR abs/1706.02390 (2017) - 2016
- [c4]Dmitriy Morozov, Zarija Lukic:
Master of Puppets: Cooperative Multitasking for In Situ Processing. HPDC 2016: 285-288 - [c3]Utkarsh Ayachit, Andrew C. Bauer, Earl P. N. Duque, Greg Eisenhauer, Nicola J. Ferrier, Junmin Gu, Kenneth E. Jansen, Burlen Loring, Zarija Lukic, Suresh Menon, Dmitriy Morozov, Patrick O'Leary, Reetesh Ranjan, Michel E. Rasquin, Christopher P. Stone, Venkatram Vishwanath, Gunther H. Weber, Brad Whitlock, Matthew Wolf, K. John Wu, E. Wes Bethel:
Performance analysis, design considerations, and applications of extreme-scale in situ infrastructures. SC 2016: 921-932 - 2015
- [c2]Md. Mostofa Ali Patwary, Surendra Byna, Nadathur Rajagopalan Satish, Narayanan Sundaram, Zarija Lukic, Vadim Roytershteyn, Michael J. Anderson, Yushu Yao, Prabhat, Pradeep Dubey:
BD-CATS: big data clustering at trillion particle scale. SC 2015: 6:1-6:12 - 2012
- [c1]Salman Habib, Vitali A. Morozov, Hal Finkel, Adrian Pope, Katrin Heitmann, Kalyan Kumaran, Tom Peterka, Joseph A. Insley, David Daniel, Patricia K. Fasel, Nicholas Frontiere, Zarija Lukic:
The universe at extreme scale: multi-petaflop sky simulation on the BG/Q. SC 2012: 4 - [i1]Salman Habib, Vitali A. Morozov, Hal Finkel, Adrian Pope, Katrin Heitmann, Kalyan Kumaran, Tom Peterka, Joseph A. Insley, David Daniel, Patricia K. Fasel, Nicholas Frontiere, Zarija Lukic:
The Universe at Extreme Scale: Multi-Petaflop Sky Simulation on the BG/Q. CoRR abs/1211.4864 (2012) - 2010
- [j1]Adrian Pope, Salman Habib, Zarija Lukic, David Daniel, Patricia K. Fasel, Katrin Heitmann, Nehal Desai:
The Accelerated Universe. Comput. Sci. Eng. 12(4): 17-25 (2010)
Coauthor Index
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