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Bilge Acun

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

17

Venues

11

Active years

2013–2024

Best venue rank

A*

Where they publish

Papers

17 indexed papers, newest first.

YearVenueTitleAuthors
2024ACLLayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding.Mostafa Elhoushi, Akshat Shrivastava, Diana Liskovich, Basil Hosmer, Bram Wasti, Liangzhen Lai, Anas Mahmoud, Bilge Acun, Saurabh Agarwal, Ahmed Roman, Ahmed A. Aly, Beidi Chen, Carole-Jean Wu
2024ICMLCHAI: Clustered Head Attention for Efficient LLM Inference.Saurabh Agarwal, Bilge Acun, Basil Hosmer, Mostafa Elhoushi, Yejin Lee, Shivaram Venkataraman, Dimitris Papailiopoulos, Carole-Jean Wu
2024ISCAMAD-Max Beyond Single-Node: Enabling Large Machine Learning Model Acceleration on Distributed Systems.Samuel Hsia, Alicia Golden, Bilge Acun, Newsha Ardalani, Zachary DeVito, Gu-Yeon Wei, David Brooks, Carole-Jean Wu
2024ISPASSGenerative AI Beyond LLMs: System Implications of Multi-Modal Generation.Alicia Golden, Samuel Hsia, Fei Sun, Bilge Acun, Basil Hosmer, Yejin Lee, Zachary DeVito, Jeff Johnson, Gu-Yeon Wei, David Brooks, Carole-Jean Wu
2023ASPLOSCarbon Explorer: A Holistic Framework for Designing Carbon Aware Datacenters.Bilge Acun, Benjamin C. Lee, Fiodar Kazhamiaka, Kiwan Maeng, Udit Gupta, Manoj Chakkaravarthy, David Brooks, Carole-Jean Wu
2023ASPLOSMP-Rec: Hardware-Software Co-design to Enable Multi-path Recommendation.Samuel Hsia, Udit Gupta, Bilge Acun, Newsha Ardalani, Pan Zhong, Gu-Yeon Wei, David Brooks, Carole-Jean Wu
2022ASPLOSRecShard: statistical feature-based memory optimization for industry-scale neural recommendation.Geet Sethi, Bilge Acun, Niket Agarwal, Christos Kozyrakis, Caroline Trippel, Carole-Jean Wu
2022HPCASecNDP: Secure Near-Data Processing with Untrusted Memory.Wenjie Xiong, Liu Ke, Dimitrije Jankov, Michael Kounavis, Xiaochen Wang, Eric Northup, Jie Amy Yang, Bilge Acun, Carole-Jean Wu, Ping Tak Peter Tang, G. Edward Suh, Xuan Zhang, Hsien-Hsin S. Lee
2021HPCAUnderstanding Training Efficiency of Deep Learning Recommendation Models at Scale.Bilge Acun, Matthew Murphy, Xiaodong Wang, Jade Nie, Carole-Jean Wu, Kim M. Hazelwood
2019HPCAPower Aware Heterogeneous Node Assembly.Bilge Acun, Alper Buyuktosunoglu, Eun Kyung Lee, Yoonho Park
2017HiPCSupport for Power Efficient Proactive Cooling Mechanisms.Bilge Acun, Eun Kyung Lee, Yoonho Park, Laxmikant V. Kal
2016ICSVariation Among Processors Under Turbo Boost in HPC Systems.Bilge Acun, Phil Miller, Laxmikant V. Kal
2016SCNeural Network-Based Task Scheduling with Preemptive Fan Control.Bilge Acun, Eun Kyung Lee, Yoonho Park, Laxmikant V. Kal
2015EuroParPreliminary Evaluation of a Parallel Trace Replay Tool for HPC Network Simulations.Bilge Acun, Nikhil Jain, Abhinav Bhatele, Misbah Mubarak, Christopher D. Carothers, Laxmikant V. Kal
2014HiPCTowards realizing the potential of malleable jobs.Abhishek Gupta, Bilge Acun, Osman Sarood, Laxmikant V. Kal
2014SCParallel Programming with Migratable Objects: Charm++ in Practice.Bilge Acun, Abhishek Gupta, Nikhil Jain, Akhil Langer, Harshitha Menon, Eric Mikida, Xiang Ni, Michael P. Robson, Yanhua Sun, Ehsan Totoni, Lukasz Wesolowski, Laxmikant V. Kal
2013CLUSTERThermal aware automated load balancing for HPC applications.Harshitha Menon, Bilge Acun, Simon Garcia De Gonzalo, Osman Sarood, Laxmikant V. Kal