Naila Farooqui

According to our database, Naila Farooqui authored at least 14 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Banishing LLM Hallucinations Requires Rethinking Generalization.

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

CoRR, 2024

2018

Accelerating Data Analytics on Integrated GPU Platforms via Runtime Specialization.

Naila Farooqui, Indrajit Roy, Yuan Chen, Vanish Talwar, Rajkishore Barik, Brian T. Lewis, Tatiana Shpeisman, Karsten Schwan

Int. J. Parallel Program., 2018

2016

Runtime specialization for heterogeneous CPU-GPU platforms.

Naila Farooqui

PhD thesis, 2016

Affinity-aware work-stealing for integrated CPU-GPU processors.

Naila Farooqui, Rajkishore Barik, Brian T. Lewis, Tatiana Shpeisman, Karsten Schwan

Proceedings of the 21st ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2016

A systems perspective on GPU computing: a tribute to Karsten Schwan.

Naila Farooqui

Proceedings of the 9th Annual Workshop on General Purpose Processing using Graphics Processing Unit, 2016

GPUShare: Fair-Sharing Middleware for GPU Clouds.

Anshuman Goswami, Jeffrey S. Young, Karsten Schwan, Naila Farooqui, Ada Gavrilovska, Matthew Wolf, Greg Eisenhauer

Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium Workshops, 2016

A black-box approach to energy-aware scheduling on integrated CPU-GPU systems.

Rajkishore Barik, Naila Farooqui, Brian T. Lewis, Chunling Hu, Tatiana Shpeisman

Proceedings of the 2016 International Symposium on Code Generation and Optimization, 2016

Accelerating graph applications on integrated GPU platforms via instrumentation-driven optimizations.

Naila Farooqui, Indrajit Roy, Yuan Chen, Vanish Talwar, Karsten Schwan

Proceedings of the ACM International Conference on Computing Frontiers, CF'16, 2016

2014

Slices: Provisioning Heterogeneous HPC Systems.

Alexander Merritt, Naila Farooqui, Magdalena Slawiñska, Ada Gavrilovska, Karsten Schwan, Vishakha Gupta

Proceedings of the Annual Conference of the Extreme Science and Engineering Discovery Environment, 2014

Leo: A Profile-Driven Dynamic Optimization Framework for GPU Applications.

Naila Farooqui, Christopher J. Rossbach, Yuan Yu, Karsten Schwan

Proceedings of the 2014 Conference on Timely Results in Operating Systems, 2014

HeteroCheckpoint: Efficient Checkpointing for Accelerator-Based Systems.

Sudarsun Kannan, Naila Farooqui, Ada Gavrilovska, Karsten Schwan

Proceedings of the 44th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2014

Efficient Instrumentation of GPGPU Applications Using Information Flow Analysis and Symbolic Execution.

Naila Farooqui, Karsten Schwan, Sudhakar Yalamanchili

Proceedings of the Seventh Workshop on General Purpose Processing Using GPUs, 2014

2012

Lynx: A dynamic instrumentation system for data-parallel applications on GPGPU architectures.

Naila Farooqui, Andrew Kerr, Greg Eisenhauer, Karsten Schwan, Sudhakar Yalamanchili

Proceedings of the 2012 IEEE International Symposium on Performance Analysis of Systems & Software, 2012

2011

A framework for dynamically instrumenting GPU compute applications within GPU Ocelot.

Naila Farooqui, Andrew Kerr, Gregory Frederick Diamos, Sudhakar Yalamanchili, Karsten Schwan

Proceedings of 4th Workshop on General Purpose Processing on Graphics Processing Units, 2011