| 2026 | EACL | PagedEviction: Structured Block-wise KV Cache Pruning for Efficient Large Language Model Inference. | Krishna Teja Chitty-Venkata, Jie Ye, Siddhisanket Raskar, Anthony Kougkas, Xian-He Sun, Murali Emani, Venkatram Vishwanath, Bogdan Nicolae |
| 2026 | EuroPar | PTStore (Prefix Tensor Store): Distributed Prefix Caching and Replication for High Throughput Inference Serving. | Meghana Maghyastha, Robert Underwood, Randal C. Burns, Bogdan Nicolae |
| 2026 | HPDC | Beyond Fixed Budgets: Characterizing the Inelasticity and Limitations of Tree-of-Thought Reasoning Strategies. | Atkia Mahila, Avinash Maurya, M. Mustafa Rafique, Bogdan Nicolae |
| 2026 | HPDC | Merkle-Tree Weight Snapshot Deduplication for Provenance-Aware Auditing of Neural Network Training. | Kin Wai Ng, Francesco Antici, Nigel Tan, Befikir Bogale, Caleb Han, Florence Tama, Osamu Miyashita, Bogdan Nicolae, Michela Taufer |
| 2026 | HPDC | Towards Transparent Checkpointing with AI-driven Code Generation. | Hai Duc Nguyen, Tekin Bicer, Kyle Chard, Ian T. Foster, Bogdan Nicolae |
| 2026 | HPDC | PKAS: Predictive KVCache-Aware Scheduling for Faster LLM and Transformer Inferences. | Jie Ye, Avinash Maurya, Krishna Teja Chitty-Venkata, Bogdan Nicolae, Anthony Kougkas, Xian-He Sun |
| 2026 | ISCA | Understanding Inference Scaling for LLMS: Bottlenecks, Trade-Offs, and Performance Principles. | Moiz Arif, Avinash Maurya, Sudharshan Vazhkudai, Bogdan Nicolae |
| 2026 | ICS | StreamGuard: Low-Overhead Resilience for Real-time HPC Data Streams. | Hai Duc Nguyen, Bogdan Nicolae, Tekin Bicer, Amal Gueroudji, Matthieu Dorier, Kyle Chard, Ian T. Foster |
| 2025 | EMNLP | CoLA: Compute-Efficient Pre-Training of LLMs via Low-Rank Activation. | Ziyue Liu, Ruijie Zhang, Zhengyang Wang, Mingsong Yan, Zi Yang, Paul D. Hovland, Bogdan Nicolae, Franck Cappello, Sui Tang, Zheng Zhang |
| 2025 | HPDC | On Optimizing Checkpoint Restoration for HPC Applications: Leveraging Merkle Trees and Asynchronous I/O. | Zackary Malkmus, Nigel Tan, Ian Lumsden, Kevin Assogba, M. Mustafa Rafique, Bogdan Nicolae, Michela Taufer |
| 2025 | ICS | D-Rex: Heterogeneity-Aware Reliability Framework and Adaptive Algorithms for Distributed Storage. | Maxime Gonthier, Dante D. Snchez-Gallegos, Haochen Pan, Bogdan Nicolae, Sicheng Zhou, Hai Duc Nguyen, Valrie Hayot-Sasson, J. Gregory Pauloski, Jess Carretero, Kyle Chard, Ian T. Foster |
| 2025 | SC | MLP-Offload: Multi-Level, Multi-Path Offloading for LLM Pre-training to Break the GPU Memory Wall. | Avinash Maurya, M. Mustafa Rafique, Franck Cappello, Bogdan Nicolae |
| 2025 | SSDBM | DTIO: Data Stack for AI-driven Workflows. | Keith Alex Bateman, Neeraj Rajesh, Jaime Cernuda, Luke Logan, Bogdan Nicolae, Franck Cappello, Xian-He Sun, Anthony Kougkas |
| 2024 | CCGRID | Efficient Data-Parallel Continual Learning with Asynchronous Distributed Rehearsal Buffers. | Thomas Bouvier, Bogdan Nicolae, Hugo Chaugier, Alexandru Costan, Ian T. Foster, Gabriel Antoniu |
| 2024 | HPDC | DataStates-LLM: Lazy Asynchronous Checkpointing for Large Language Models. | Avinash Maurya, Robert Underwood, M. Mustafa Rafique, Franck Cappello, Bogdan Nicolae |
| 2024 | HPDC | EvoStore: Towards Scalable Storage of Evolving Learning Models. | Robert Underwood, Meghana Madhyastha, Randal C. Burns, Bogdan Nicolae |
| 2024 | ICPP | Viper: A High-Performance I/O Framework for Transparently Updating, Storing, and Transferring Deep Neural Network Models. | Jie Ye, Jaime Cernuda, Neeraj Rajesh, Keith Bateman, Orcun Yildiz, Tom Peterka, Arnur Nigmetov, Dmitriy Morozov, Xian-He Sun, Anthony Kougkas, Bogdan Nicolae |
| 2024 | Middleware | Deep Optimizer States: Towards Scalable Training of Transformer Models using Interleaved Offloading. | Avinash Maurya, Jie Ye, M. Mustafa Rafique, Franck Cappello, Bogdan Nicolae |
| 2024 | Middleware | Towards Affordable Reproducibility Using Scalable Capture and Comparison of Intermediate Multi-Run Results. | Nigel Tan, Kevin Assogba, Walter J. Ashworth, Befikir Bogale, Franck Cappello, M. Mustafa Rafique, Michela Taufer, Bogdan Nicolae |
| 2023 | HiPC | Optimizing the Training of Co-Located Deep Learning Models Using Cache-Aware Staggering. | Kevin Assogba, Bogdan Nicolae, M. Mustafa Rafique |
| 2023 | HiPC | Towards Efficient I/O Pipelines Using Accumulated Compression. | Avinash Maurya, Bogdan Nicolae, M. Mustafa Rafique, Franck Cappello |
| 2023 | HiPC | Understanding Patterns of Deep Learning Model Evolution in Network Architecture Search. | Robert Underwood, Meghana Madhyastha, Randal C. Burns, Bogdan Nicolae |
| 2023 | HPDC | GPU-Enabled Asynchronous Multi-level Checkpoint Caching and Prefetching. | Avinash Maurya, M. Mustafa Rafique, Thierry Tonellot, Hussain J. AlSalem, Franck Cappello, Bogdan Nicolae |
| 2023 | ICPP | Scalable Incremental Checkpointing using GPU-Accelerated De-Duplication. | Nigel Tan, Jakob Lttgau, Jack D. Marquez, Keita Teranishi, Nicolas M. Morales, Sanjukta Bhowmick, Franck Cappello, Michela Taufer, Bogdan Nicolae |
| 2023 | ICS | DStore: A Lightweight Scalable Learning Model Repository with Fine-Grain Tensor-Level Access. | Meghana Madhyastha, Robert Underwood, Randal C. Burns, Bogdan Nicolae |
| 2023 | ISPDC | Modeling Multi-Threaded Aggregated I/O for Asynchronous Checkpointing on HPC Systems. | Mikaila J. Gossman, Bogdan Nicolae, Jon C. Calhoun |
| 2023 | SC | Asynchronous Multi-Level Checkpointing: An Enabler of Reproducibility using Checkpoint History Analytics. | Kevin Assogba, Bogdan Nicolae, Hubertus Van Dam, M. Mustafa Rafique |
| 2023 | SC | Elastic deep learning through resilient collective operations. | Jiali Li, George Bosilca, Aurelien Bouteiller, Bogdan Nicolae |
| 2022 | CCGRID | Towards Low-Overhead Resilience for Data Parallel Deep Learning. | Bogdan Nicolae, Tanner Hobson, Orcun Yildiz, Tom Peterka, Dmitriy Morozov |
| 2022 | CLUSTER | Integrating process, control-flow, and data resiliency layers using a hybrid Fenix/Kokkos approach. | Matthew Whitlock, Nicolas M. Morales, George Bosilca, Aurelien Bouteiller, Bogdan Nicolae, Keita Teranishi, Elisabeth Giem, Vivek Sarkar |
| 2022 | HiPC | Towards Efficient Cache Allocation for High-Frequency Checkpointing. | Avinash Maurya, Bogdan Nicolae, M. Mustafa Rafique, Amr M. Elsayed, Thierry Tonellot, Franck Cappello |
| 2022 | HPDC | FlexScience'22: 12th Workshop on AI and Scientific Computing at Scale using Flexible Computing Infrastructures. | Alexandru Costan, Bogdan Nicolae, Kento Sato |
| 2022 | ICPP | Lobster: Load Balance-Aware I/O for Distributed DNN Training. | Jie Liu, Bogdan Nicolae, Dong Li |
| 2021 | CCGRID | Shared-Memory Communication for Containerized Workflows. | Tanner Hobson, Orcun Yildiz, Bogdan Nicolae, Jian Huang, Tom Peterka |
| 2021 | CLUSTER | Accelerating DNN Architecture Search at Scale Using Selective Weight Transfer. | Hongyuan Liu, Bogdan Nicolae, Sheng Di, Franck Cappello, Adwait Jog |
| 2021 | CLUSTER | Virtual Log-Structured Storage for High-Performance Streaming. | Ovidiu-Cristian Marcu, Alexandru Costan, Bogdan Nicolae, Gabriel Antoniu |
| 2021 | EuroPar | Towards High Performance Resilience Using Performance Portable Abstractions. | Nicolas M. Morales, Keita Teranishi, Bogdan Nicolae, Christian Trott, Franck Cappello |
| 2021 | MASCOTS | Towards Efficient I/O Scheduling for Collaborative Multi-Level Checkpointing. | Avinash Maurya, Bogdan Nicolae, M. Mustafa Rafique, Thierry Tonellot, Franck Cappello |
| 2020 | CCGRID | DeepFreeze: Towards Scalable Asynchronous Checkpointing of Deep Learning Models. | Bogdan Nicolae, Jiali Li, Justin M. Wozniak, George Bosilca, Matthieu Dorier, Franck Cappello |
| 2020 | CLUSTER | DeepClone: Lightweight State Replication of Deep Learning Models for Data Parallel Training. | Bogdan Nicolae, Justin M. Wozniak, Matthieu Dorier, Franck Cappello |
| 2020 | SC | High-bypass Learning: Automated Detection of Tumor Cells That Significantly Impact Drug Response. | Justin M. Wozniak, Hyun Seung Yoo, Jamaludin Mohd-Yusof, Bogdan Nicolae, Nicholson T. Collier, Jonathan Ozik, Thomas S. Brettin, Rick Stevens |
| 2019 | CLUSTER | Improving Performance of Data Dumping with Lossy Compression for Scientific Simulation. | Xin Liang, Sheng Di, Dingwen Tao, Sihuan Li, Bogdan Nicolae, Zizhong Chen, Franck Cappello |
| 2019 | EuroPar | Towards Portable Online Prediction of Network Utilization Using MPI-Level Monitoring. | Shu-Mei Tseng, Bogdan Nicolae, George Bosilca, Emmanuel Jeannot, Aparna Chandramowlishwaran, Franck Cappello |
| 2019 | HPDC | Session details: Session 1: Converged Computing Infrastructures. | Bogdan Nicolae |
| 2019 | SC | Significantly improving lossy compression quality based on an optimized hybrid prediction model. | Xin Liang, Sheng Di, Sihuan Li, Dingwen Tao, Bogdan Nicolae, Zizhong Chen, Franck Cappello |
| 2019 | SC | Understanding Scalability and Fine-Grain Parallelism of Synchronous Data Parallel Training. | Jiali Li, Bogdan Nicolae, Justin M. Wozniak, George Bosilca |
| 2018 | ICDCS | KerA: Scalable Data Ingestion for Stream Processing. | Ovidiu-Cristian Marcu, Alexandru Costan, Gabriel Antoniu, Mara S. Prez-Hernndez, Bogdan Nicolae, Radu Tudoran, Stefano Bortoli |
| 2017 | CCGRID | Evaluation of Data Locality Strategies for Hybrid Cloud Bursting of Iterative MapReduce. | Francisco J. Clemente-Castell, Bogdan Nicolae, M. Mustafa Rafique, Rafael Mayo, Juan Carlos Fernndez |
| 2017 | CCGRID | Exploring Shared State in Key-Value Store for Window-Based Multi-Pattern Streaming Analytics. | Ovidiu-Cristian Marcu, Radu Tudoran, Bogdan Nicolae, Alexandru Costan, Gabriel Antoniu, Mara S. Prez-Hernndez |
| 2016 | CCGRID | Towards Memory-Optimized Data Shuffling Patterns for Big Data Analytics. | Bogdan Nicolae, Carlos H. A. Costa, Claudia Misale, Kostas Katrinis, Yoonho Park |
| 2015 | CCGRID | Discovering and Leveraging Content Similarity to Optimize Collective on-Demand Data Access to IaaS Cloud Storage. | Bogdan Nicolae, Andrzej Kochut, Alexei A. Karve |
| 2015 | IM | Towards efficient on-demand VM provisioning: Study of VM runtime I/O access patterns to shared image content. | Andrzej Kochut, Alexei A. Karve, Bogdan Nicolae |
| 2015 | UCC | Enabling Big Data Analytics in the Hybrid Cloud Using Iterative MapReduce. | Francisco J. Clemente-Castell, Bogdan Nicolae, Kostas Katrinis, M. Mustafa Rafique, Rafael Mayo, Juan Carlos Fernndez, Daniela Loreti |
| 2014 | EuroPar | Next Generation HPC Clouds: A View for Large-Scale Scientific and Data-Intensive Applications. | Dana Petcu, Horacio Gonzlez-Vlez, Bogdan Nicolae, Juan Miguel Garca-Gmez, Elies Fuster-Garca, Craig Sheridan |
| 2014 | SC | To overlap or not to overlap: optimizing incremental MapReduce computations for on-demand data upload. | Stefan Ene, Bogdan Nicolae, Alexandru Costan, Gabriel Antoniu |
| 2014 | UCC | Transparent Throughput Elasticity for IaaS Cloud Storage Using Guest-Side Block-Level Caching. | Bogdan Nicolae, Pierre Riteau, Kate Keahey |
| 2013 | EuroPar | Understanding Vertical Scalability of I/O Virtualization for MapReduce Workloads: Challenges and Opportunities. | Bogdan Nicolae |
| 2013 | EuroPar | Leveraging Collaborative Content Exchange for On-Demand VM Multi-deployments in IaaS Clouds. | Bogdan Nicolae, M. Mustafa Rafique |
| 2013 | HPDC | AI-Ckpt: leveraging memory access patterns for adaptive asynchronous incremental checkpointing. | Bogdan Nicolae, Franck Cappello |
| 2012 | EuroPar | Scalable Reed-Solomon-Based Reliable Local Storage for HPC Applications on IaaS Clouds. | Leonardo Arturo Bautista-Gomez, Bogdan Nicolae, Naoya Maruyama, Franck Cappello, Satoshi Matsuoka |
| 2012 | HPDC | A hybrid local storage transfer scheme for live migration of I/O intensive workloads. | Bogdan Nicolae, Franck Cappello |
| 2011 | CCGRID | Efficient Support for MPI-I/O Atomicity Based on Versioning. | Viet-Trung Tran, Bogdan Nicolae, Gabriel Antoniu, Luc Boug |
| 2011 | EuroPar | Optimizing Multi-deployment on Clouds by Means of Self-adaptive Prefetching. | Bogdan Nicolae, Franck Cappello, Gabriel Antoniu |
| 2011 | HPDC | Going back and forth: efficient multideployment and multisnapshotting on clouds. | Bogdan Nicolae, John Bresnahan, Kate Keahey, Gabriel Antoniu |
| 2011 | SC | BlobCR: efficient checkpoint-restart for HPC applications on IaaS clouds using virtual disk image snapshots. | Bogdan Nicolae, Franck Cappello |
| 2010 | CloudCom | Using Global Behavior Modeling to Improve QoS in Cloud Data Storage Services. | Jess Montes, Bogdan Nicolae, Gabriel Antoniu, Alberto Snchez, Mara S. Prez |
| 2009 | EuroPar | Enabling High Data Throughput in Desktop Grids through Decentralized Data and Metadata Management: The BlobSeer Approach. | Bogdan Nicolae, Gabriel Antoniu, Luc Boug |
| 2009 | EuroPar | Towards a Grid File System Based on a Large-Scale BLOB Management Service. | Viet-Trung Tran, Gabriel Antoniu, Bogdan Nicolae, Luc Boug, Osamu Tatebe |
| 2008 | CLUSTER | Enabling lock-free concurrent fine-grain access to massive distributed data: Application to supernovae detection. | Bogdan Nicolae, Gabriel Antoniu, Luc Boug |