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Naila Farooqui
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2020 – today
- 2024
- [i1]Johnny Li, Saksham Consul, Eda Zhou, James Wong, Naila Farooqui, Yuxin Ye, Nithyashree Manohar, Zhuxiaona Wei, Tian Wu, Ben Echols, Sharon Zhou, Gregory F. Diamos:
Banishing LLM Hallucinations Requires Rethinking Generalization. CoRR abs/2406.17642 (2024)
2010 – 2019
- 2018
- [j1]Naila Farooqui, Indrajit Roy, Yuan Chen, Vanish Talwar, Rajkishore Barik, Brian T. Lewis, Tatiana Shpeisman, Karsten Schwan:
Accelerating Data Analytics on Integrated GPU Platforms via Runtime Specialization. Int. J. Parallel Program. 46(2): 336-375 (2018) - 2016
- [b1]Naila Farooqui:
Runtime specialization for heterogeneous CPU-GPU platforms. Georgia Institute of Technology, Atlanta, GA, USA, 2016 - [c11]Naila Farooqui, Indrajit Roy, Yuan Chen, Vanish Talwar, Karsten Schwan:
Accelerating graph applications on integrated GPU platforms via instrumentation-driven optimizations. Conf. Computing Frontiers 2016: 19-28 - [c10]Rajkishore Barik, Naila Farooqui, Brian T. Lewis, Chunling Hu, Tatiana Shpeisman:
A black-box approach to energy-aware scheduling on integrated CPU-GPU systems. CGO 2016: 70-81 - [c9]Anshuman Goswami, Jeffrey S. Young, Karsten Schwan, Naila Farooqui, Ada Gavrilovska, Matthew Wolf, Greg Eisenhauer:
GPUShare: Fair-Sharing Middleware for GPU Clouds. IPDPS Workshops 2016: 1769-1776 - [c8]Naila Farooqui, Rajkishore Barik, Brian T. Lewis, Tatiana Shpeisman, Karsten Schwan:
Affinity-aware work-stealing for integrated CPU-GPU processors. PPoPP 2016: 30:1-30:2 - [c7]Naila Farooqui:
A systems perspective on GPU computing: a tribute to Karsten Schwan. GPGPU@PPoPP 2016: 72-81 - 2014
- [c6]Naila Farooqui, Karsten Schwan, Sudhakar Yalamanchili:
Efficient Instrumentation of GPGPU Applications Using Information Flow Analysis and Symbolic Execution. GPGPU@ASPLOS 2014: 19 - [c5]Sudarsun Kannan, Naila Farooqui, Ada Gavrilovska, Karsten Schwan:
HeteroCheckpoint: Efficient Checkpointing for Accelerator-Based Systems. DSN 2014: 738-743 - [c4]Naila Farooqui, Christopher J. Rossbach, Yuan Yu, Karsten Schwan:
Leo: A Profile-Driven Dynamic Optimization Framework for GPU Applications. TRIOS 2014 - [c3]Alexander Merritt, Naila Farooqui, Magdalena Slawiñska, Ada Gavrilovska, Karsten Schwan, Vishakha Gupta:
Slices: Provisioning Heterogeneous HPC Systems. XSEDE 2014: 46:1-46:8 - 2012
- [c2]Naila Farooqui, Andrew Kerr, Greg Eisenhauer, Karsten Schwan, Sudhakar Yalamanchili:
Lynx: A dynamic instrumentation system for data-parallel applications on GPGPU architectures. ISPASS 2012: 58-67 - 2011
- [c1]Naila Farooqui, Andrew Kerr, Gregory Frederick Diamos, Sudhakar Yalamanchili, Karsten Schwan:
A framework for dynamically instrumenting GPU compute applications within GPU Ocelot. GPGPU 2011: 9
Coauthor Index
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