Topic Tracking Using Chronological Term Ranking. - Bilge Acun; Alper Baspinar; Ekin Oguz; M. Ilker Saraç; Fazli Can (ISCIS, 2012)

Thermal aware automated load balancing for HPC applications. - Harshitha Menon; Bilge Acun; Simon Garcia De Gonzalo; Osman Sarood; Laxmikant V. Kalé (CLUSTER, 2013)

Towards realizing the potential of malleable jobs. - Abhishek Gupta 002; Bilge Acun; Osman Sarood; Laxmikant V. Kalé (HiPC, 2014)

Parallel Programming with Migratable Objects: Charm++ in Practice. - Bilge Acun; Abhishek Gupta 002; Nikhil Jain; Akhil Langer; Harshitha Menon; Eric Mikida; Xiang Ni; Michael P. Robson; Yanhua Sun; Ehsan Totoni; Lukasz Wesolowski; Laxmikant V. Kalé (SC, 2014)

Preliminary Evaluation of a Parallel Trace Replay Tool for HPC Network Simulations. - Bilge Acun; Nikhil Jain; Abhinav Bhatele; Misbah Mubarak; Christopher D. Carothers; Laxmikant V. Kalé (Euro-Par Workshops, 2015)

Variation Among Processors Under Turbo Boost in HPC Systems. - Bilge Acun; Phil Miller; Laxmikant V. Kalé (ICS, 2016)

Mitigating Processor Variation through Dynamic Load Balancing. - Bilge Acun; Laxmikant V. Kalé (IPDPS Workshops, 2016)

Neural Network-Based Task Scheduling with Preemptive Fan Control. - Bilge Acun; Eun Kyung Lee; Yoonho Park; Laxmikant V. Kalé (E2SC@SC, 2016)

Power, Reliability, and Performance: One System to Rule them All. - Bilge Acun; Akhil Langer; Esteban Meneses; Harshitha Menon; Osman Sarood; Ehsan Totoni; Laxmikant V. Kalé (Computer, 2016)

Support for Power Efficient Proactive Cooling Mechanisms. - Bilge Acun; Eun Kyung Lee; Yoonho Park; Laxmikant V. Kalé (HiPC, 2017)

Mitigating variability in HPC systems and applications for performance and power efficiency - Bilge Acun (2017)

Scalable molecular dynamics with NAMD on the Summit system. - Bilge Acun; David J. Hardy; Laxmikant V. Kalé; Keqin Li 001; James C. Phillips; John E. Stone (IBM J. Res. Dev., 2018)

Fine-Grained Energy Efficiency Using Per-Core DVFS with an Adaptive Runtime System. - Bilge Acun; Kavitha Chandrasekar; Laxmikant V. Kalé (IGSC, 2019)

Power Aware Heterogeneous Node Assembly. - Bilge Acun; Alper Buyuktosunoglu; Eun Kyung Lee; Yoonho Park (HPCA, 2019)

UIUC-PPL/charm: v6.10.0-beta1. - Laxmikant V. Kalé; Bilge Acun; Seonmyeong Bak; Aaron T. Becker; Milind A. Bhandarkar; Nitin Bhat; Abhinav Bhatele; Eric J. Bohm; Cyril Bordage; Robert Brunner; Ronak Buch; Sayantan Chakravorty; et al. (Zenodo, 2019)

UIUC-PPL/charm: v6.10.0-rc. - Laxmikant V. Kalé; Bilge Acun; Seonmyeong Bak; Aaron T. Becker; Milind A. Bhandarkar; Nitin Bhat; Abhinav Bhatele; Eric J. Bohm; Cyril Bordage; Robert Brunner; Ronak Buch; Sayantan Chakravorty; et al. (Zenodo, 2019)

UIUC-PPL/charm: v6.10.0-rc2. - Laxmikant V. Kalé; Bilge Acun; Seonmyeong Bak; Aaron T. Becker; Milind A. Bhandarkar; Nitin Bhat; Abhinav Bhatele; Eric J. Bohm; Cyril Bordage; Robert Brunner; Ronak Buch; Sayantan Chakravorty; et al. (Zenodo, 2019)

UIUC-PPL/charm: v6.10.0. - Laxmikant V. Kalé; Bilge Acun; Seonmyeong Bak; Aaron T. Becker; Milind A. Bhandarkar; Nitin Bhat; Abhinav Bhatele; Eric J. Bohm; Cyril Bordage; Robert Brunner; Ronak Buch; Sayantan Chakravorty; et al. (Zenodo, 2020)

UIUC-PPL/charm: v6.10.1. - Laxmikant V. Kalé; Bilge Acun; Seonmyeong Bak; Aaron T. Becker; Milind A. Bhandarkar; Nitin Bhat; Abhinav Bhatele; Eric J. Bohm; Cyril Bordage; Robert Brunner; Ronak Buch; Sayantan Chakravorty; et al. (Zenodo, 2020)

UIUC-PPL/charm: Charm++ version 6.10.2. - Laxmikant V. Kalé; Bilge Acun; Seonmyeong Bak; Aaron T. Becker; Milind A. Bhandarkar; Nitin Bhat; Abhinav Bhatele; Eric J. Bohm; Cyril Bordage; Robert Brunner; Ronak Buch; Sayantan Chakravorty; et al. (Zenodo, 2020)

UIUC-PPL/charm: v6.11.0-beta1. - Laxmikant V. Kalé; Bilge Acun; Seonmyeong Bak; Aaron T. Becker; Milind A. Bhandarkar; Nitin Bhat; Abhinav Bhatele; Eric J. Bohm; Cyril Bordage; Robert Brunner; Ronak Buch; Sayantan Chakravorty; et al. (Zenodo, 2020)

Understanding Training Efficiency of Deep Learning Recommendation Models at Scale. - Bilge Acun; Matthew Murphy; Xiaodong Wang 020; Jade Nie; Carole-Jean Wu; Kim M. Hazelwood (HPCA, 2021)

TT-Rec: Tensor Train Compression for Deep Learning Recommendation Models. - Chunxing Yin; Bilge Acun; Carole-Jean Wu; Xing Liu (MLSys, 2021)

Sustainable AI: Environmental Implications, Challenges and Opportunities. - Carole-Jean Wu; Ramya Raghavendra; Udit Gupta; Bilge Acun; Newsha Ardalani; Kiwan Maeng; Gloria Chang; Fiona Aga Behram; James Huang; Charles Bai; Michael Gschwind; Anurag Gupta; et al. (CoRR, 2021)

SecNDP: Secure Near-Data Processing with Untrusted Memory. - Wenjie Xiong 001; Liu Ke 001; 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 001; et al. (IACR Cryptol. ePrint Arch., 2021)

Datacenter-Scale Analysis and Optimization of GPU Machine Learning Workloads. - Lukasz Wesolowski; Bilge Acun; Valentin Andrei; Adnan Aziz; Gisle Dankel; Christopher Gregg; Xiaoqiao Meng; Cyril Meurillon; Denis Sheahan; Lei Tian; Janet Yang; Peifeng Yu; et al. (IEEE Micro, 2021)

UIUC-PPL/charm: v7.0.0-rc1. - Laxmikant V. Kalé; Bilge Acun; Seonmyeong Bak; Aaron T. Becker; Milind A. Bhandarkar; Nitin Bhat; Abhinav Bhatele; Eric J. Bohm; Cyril Bordage; Robert Brunner; Ronak Buch; Sayantan Chakravorty; et al. (Zenodo, 2021)

UIUC-PPL/charm: v7.0.0-rc2. - Laxmikant V. Kalé; Bilge Acun; Seonmyeong Bak; Aaron T. Becker; Milind A. Bhandarkar; Nitin Bhat; Abhinav Bhatele; Eric J. Bohm; Cyril Bordage; Robert Brunner; Ronak Buch; Sayantan Chakravorty; et al. (Zenodo, 2021)

UIUC-PPL/charm: Charm++ version 7.0.0. - Laxmikant V. Kalé; Bilge Acun; Seonmyeong Bak; Aaron T. Becker; Milind A. Bhandarkar; Nitin Bhat; Abhinav Bhatele; Eric J. Bohm; Cyril Bordage; Robert Brunner; Ronak Buch; Sayantan Chakravorty; et al. (Zenodo, 2021)

RecShard: statistical feature-based memory optimization for industry-scale neural recommendation. - Geet Sethi; Bilge Acun; Niket Agarwal; Christos Kozyrakis; Caroline Trippel; Carole-Jean Wu (ASPLOS, 2022)

Sustainable AI: Environmental Implications, Challenges and Opportunities. - Carole-Jean Wu; Ramya Raghavendra; Udit Gupta; Bilge Acun; Newsha Ardalani; Kiwan Maeng; Gloria Chang; Fiona Aga Behram; Jinshi Huang; Charles Bai; Michael Gschwind; Anurag Gupta; et al. (MLSys, 2022)

A Holistic Approach for Designing Carbon Aware Datacenters. - Bilge Acun; Benjamin Lee; Kiwan Maeng; Manoj Chakkaravarthy; Udit Gupta; David Brooks 001; Carole-Jean Wu (CoRR, 2022)

DataPerf: Benchmarks for Data-Centric AI Development. - Mark Mazumder; Colby R. Banbury; Xiaozhe Yao; Bojan Karlas; William Gaviria Rojas; Sudnya Frederick Diamos; Greg Diamos; Lynn He; Douwe Kiela; David Jurado; David Kanter; Rafael Mosquera; et al. (CoRR, 2022)

Carbon Explorer: A Holistic Framework for Designing Carbon Aware Datacenters. - Bilge Acun; Benjamin Lee; Fiodar Kazhamiaka; Kiwan Maeng; Udit Gupta; Manoj Chakkaravarthy; David Brooks 001; Carole-Jean Wu (ASPLOS (2), 2023)

MP-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 001; Carole-Jean Wu (ASPLOS (3), 2023)

DataPerf: Benchmarks for Data-Centric AI Development. - Mark Mazumder; Colby R. Banbury; Xiaozhe Yao; Bojan Karlas; William Gaviria Rojas; Sudnya Frederick Diamos; Greg Diamos; Lynn He; Alicia Parrish; Hannah Rose Kirk; Jessica Quaye; Charvi Rastogi; et al. (NeurIPS, 2023)

Carbon Responder: Coordinating Demand Response for the Datacenter Fleet. - Jiali Xing; Bilge Acun; Aditya Sundarrajan; David Brooks 001; Manoj Chakkaravarthy; Nikky Avila; Carole-Jean Wu; Benjamin C. Lee (CoRR, 2023)

Data Acquisition: A New Frontier in Data-centric AI. - Lingjiao Chen; Bilge Acun; Newsha Ardalani; Yifan Sun 010; Feiyang Kang; Hanrui Lyu; Yongchan Kwon; Ruoxi Jia 001; Carole-Jean Wu; Matei Zaharia; James Zou 001 (CoRR, 2023)

LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding. - Mostafa Elhoushi; Akshat Shrivastava; Diana Liskovich; Basil Hosmer; Bram Wasti; Liangzhen Lai; Anas Mahmoud 002; Bilge Acun; Saurabh Agarwal; Ahmed Roman; Ahmed A Aly; Beidi Chen; et al. (ACL (1), 2024)

CHAI: Clustered Head Attention for Efficient LLM Inference. - Saurabh Agarwal; Bilge Acun; Basil Hosmer; Mostafa Elhoushi; Yejin Lee 010; Shivaram Venkataraman; Dimitris Papailiopoulos; Carole-Jean Wu (ICML, 2024)

MAD-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 001; Carole-Jean Wu (ISCA, 2024)

Generative AI Beyond LLMs: System Implications of Multi-Modal Generation. - Alicia Golden; Samuel Hsia; Fei Sun; Bilge Acun; Basil Hosmer; Yejin Lee 010; Zachary DeVito; Jeff Johnson 004; Gu-Yeon Wei; David Brooks 001; Carole-Jean Wu (ISPASS, 2024)

Is Flash Attention Stable? - Alicia Golden; Samuel Hsia; Fei Sun; Bilge Acun; Basil Hosmer; Yejin Lee 010; Zachary DeVito; Jeff Johnson 004; Gu-Yeon Wei; David Brooks 001; Carole-Jean Wu (CoRR, 2024)

Unlocking the Potential of Renewable Energy Through Curtailment Prediction. - Bilge Acun; Brent Morgan; Henry Richardson; Nat Steinsultz; Carole-Jean Wu (CoRR, 2024)

Characterizing and Efficiently Accelerating Multimodal Generation Model Inference. - Yejin Lee 010; Anna Y. Sun; Basil Hosmer; Bilge Acun; Can Balioglu; Changhan Wang; Charles David Hernandez; Christian Puhrsch; Daniel Haziza; Driss Guessous; Francisco Massa; Jacob Kahn; et al. (CoRR, 2024)

Beyond Efficiency: Scaling AI Sustainably. - Carole-Jean Wu; Bilge Acun; Ramya Raghavendra; Kim M. Hazelwood (IEEE Micro, 2024)

Carbon Aware Transformers Through Joint Model-Hardware Optimization. - Irene Wang; Newsha Ardalani; Mostafa Elhoushi; Daniel Jiang; Samuel Hsia; Ekin Sumbul; Divya Mahajan 001; Carole-Jean Wu; Bilge Acun (CoRR, 2025)

Scalable LLM Math Reasoning Acceleration with Low-rank Distillation. - Harry Dong; Bilge Acun; Beidi Chen; Yuejie Chi (CoRR, 2025)