Zarija Lukic

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 19

Top Topics

Convolutional Neural Networks

Scientific Data

Representative Subset

Top Venues

Publications

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 (2024)
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 (2023)
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 (2023)
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)
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)
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 (2022)
George Stein, Peter Harrington, Jacqueline Blaum, Tomislav Medan, Zarija Lukic
Self-supervised similarity search for large scientific datasets. CoRR (2021)
Md Abul Hayat, Peter Harrington, George Stein, Zarija Lukic, Mustafa Mustafa
Estimating Galactic Distances From Images Using Self-supervised Representation Learning. CoRR (2021)
George Stein, Jacqueline Blaum, Peter Harrington, Tomislav Medan, Zarija Lukic
Mining for strong gravitational lenses with self-supervised learning. CoRR (2021)
Peter Harrington, Mustafa Mustafa, Max Dornfest, Benjamin Horowitz, Zarija Lukic
Fast, high-fidelity Lyman α forests with convolutional neural networks. CoRR (2021)
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) (2021)
Md Abul Hayat, George Stein, Peter Harrington, Zarija Lukic, Mustafa Mustafa
Self-Supervised Representation Learning for Astronomical Images. CoRR (2020)
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)
Erich Lohrmann, Zarija Lukic, Dmitriy Morozov, Juliane Müller
Programmable In Situ System for Iterative Workflows. JSSPP (2017)
Mustafa Mustafa, Deborah Bard, Wahid Bhimji, Rami Al-Rfou, Zarija Lukic
Creating Virtual Universes Using Generative Adversarial Networks. CoRR (2017)
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) (2017)
Dmitriy Morozov, Zarija Lukic
Master of Puppets: Cooperative Multitasking for In Situ Processing. HPDC (2016)
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
infrastructures. SC (2016)
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)
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 (2012)
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)
Adrian Pope, Salman Habib, Zarija Lukic, David Daniel, Patricia K. Fasel, Katrin Heitmann, Nehal Desai
The Accelerated Universe. Comput. Sci. Eng. 12 (4) (2010)