Adaptive Computation over Dynamic and Heterogeneous Networks. - Kaoutar El Maghraoui; Joseph E. Flaherty; Boleslaw K. Szymanski; James D. Teresco; Carlos A. Varela (PPAM, 2003)

Load Balancing of Autonomous Actors over Dynamic Networks. - Travis J. Desell; Kaoutar El Maghraoui; Carlos A. Varela (HICSS, 2004)

Towards a middleware framework for dynamically reconfigurable scietific computing. - Kaoutar El Maghraoui; Travis J. Desell; Boleslaw K. Szymanski; James D. Teresco; Carlos A. Varela (High Performance Computing Workshop, 2004)

An Architecture for Reconfigurable Iterative MPI Applications in Dynamic Environments. - Kaoutar El Maghraoui; Boleslaw K. Szymanski; Carlos A. Varela (PPAM, 2005)

Approaches to Architecture-Aware Parallel Scientific Computation. - James D. Teresco; Joseph E. Flaherty; Scott B. Baden; Jamal Faik; Sébastien Lacour; Manish Parashar; Valerie E. Taylor; Carlos A. Varela; Xingfu Wu; Rick Stevens; Nicholas T. Karonis; Ian T. Foster; et al. (Parallel Processing for Scientific Computing, 2006)

A Middleware Framework for Maximum Likelihood Evaluation over Dynamic Grids. - Wei-Jen Wang; Kaoutar El Maghraoui; John Cummings; Jim Napolitano; Boleslaw K. Szymanski; Carlos A. Varela (e-Science, 2006)

Model Driven Provisioning: Bridging the Gap Between Declarative Object Models and Procedural Provisioning Tools. - Kaoutar El Maghraoui; Alok Meghranjani; Tamar Eilam; Michael H. Kalantar; Alexander V. Konstantinou (Middleware, 2006)

The Internet Operating System: Middleware for Adaptive Distributed Computing. - Kaoutar El Maghraoui; Travis J. Desell; Boleslaw K. Szymanski; Carlos A. Varela (Int. J. High Perform. Comput. Appl., 2006)

Dynamic Malleability in Iterative MPI Applications. - Kaoutar El Maghraoui; Travis J. Desell; Boleslaw K. Szymanski; Carlos A. Varela (CCGRID, 2007)

Malleable applications for scalable high performance computing. - Travis J. Desell; Kaoutar El Maghraoui; Carlos A. Varela (Clust. Comput., 2007)

A framework for the dynamic reconfiguration of scientific applications in grid environments. - Kaoutar El Maghraoui (2007)

Malleable iterative MPI applications. - Kaoutar El Maghraoui; Travis J. Desell; Boleslaw K. Szymanski; Carlos A. Varela (Concurr. Comput. Pract. Exp., 2009)

Modeling and simulating flash based solid-state disks for operating systems. - Kaoutar El Maghraoui; Gokul B. Kandiraju; Joefon Jann; Pratap Pattnaik (WOSP/SIPEW, 2010)

A Hybrid Approach for Large Cache Performance Studies. - David Daly; Parijat Dube; Kaoutar El Maghraoui; Dan E. Poff; Li Zhang 002 (QEST, 2011)

A flexible OS-based approach for characterizing solid-state disk endurance. - Gokul B. Kandiraju; Kaoutar El Maghraoui (Conf. Computing Frontiers, 2012)

An SMT-Selection Metric to Improve Multithreaded Applications' Performance. - Justin R. Funston; Kaoutar El Maghraoui; Joefon Jann; Pratap Pattnaik; Alexandra Fedorova (IPDPS, 2012)

An OS-Hypervisor Infrastructure for Automated OS Crash Diagnosis and Recovery in a Virtualized Environment. - Joefon Jann; R. Sarma Burugula; Ching-Farn Eric Wu; Kaoutar El Maghraoui (SBAC-PAD, 2012)

Investigating hybrid SSD FTL schemes for Hadoop workloads. - Hyeran Jeon; Kaoutar El Maghraoui; Gokul B. Kandiraju (Conf. Computing Frontiers, 2013)

Towards an immortal operating system in virtual environments. - Joefon Jann; R. Sarma Burugula; Ching-Farn Eric Wu; Kaoutar El Maghraoui (Parallel Comput., 2014)

Towards More Effective Solution Retrieval in IT Support Services Using Systems Log. - Rongda Zhu; Yu Deng 004; Soumitra Sarkar; Kaoutar El Maghraoui; Harigovind V. Ramasamy; Alan Bivens (ICSOC, 2016)

Advanced search system for IT support services. - Yu Deng 004; Kaoutar El Maghraoui; Thomas D. Griffin; Vikas Agarwal; Srikanth G. Tamilselvam; Rahul D. Sharnagat; Tabari H. Alexander; Nicolas E. Gómez; Christopher M. Cramer; Alan Bivens; Divyesh Jadav; Zaman M. Valli-Hasham; et al. (IBM J. Res. Dev., 2017)

Dependability in a Multi-tenant Multi-framework Deep Learning as-a-Service Platform. - Scott Boag; Parijat Dube; Kaoutar El Maghraoui; Benjamin Herta; Waldemar Hummer; K. R. Jayaram; Rania Khalaf; Vinod Muthusamy; Michael H. Kalantar; Archit Verma (DSN Workshops, 2018)

ModelOps: Cloud-Based Lifecycle Management for Reliable and Trusted AI. - Waldemar Hummer; Vinod Muthusamy; Thomas Rausch; Parijat Dube; Kaoutar El Maghraoui; Anupama Murthi; Punleuk Oum (IC2E, 2019)

Ultra-Low Precision 4-bit Training of Deep Neural Networks. - Xiao Sun 013; Naigang Wang; Chia-Yu Chen; Jiamin Ni; Ankur Agrawal; Xiaodong Cui; Swagath Venkataramani; Kaoutar El Maghraoui; Vijayalakshmi Srinivasan; Kailash Gopalakrishnan (NeurIPS, 2020)

Toward an Enterprise-ready Composable Infrastructure as a Service. - Lorraine M. Herger; Kaoutar El Maghraoui; I-Hsin Chung; Chekuri Choudary; Kim Tran; Todd Deshane (SCC, 2021)

A Flexible and Fast PyTorch Toolkit for Simulating Training and Inference on Analog Crossbar Arrays. - Malte J. Rasch; Diego Moreda; Tayfun Gokmen; Manuel Le Gallo; Fabio Carta; Cindy Goldberg; Kaoutar El Maghraoui; Abu Sebastian; Vijay Narayanan (AICAS, 2021)

Accelerating Neural Architecture Search with Rank-Preserving Surrogate Models. - Hadjer Benmeziane; Hamza Ouarnoughi; Kaoutar El Maghraoui; Smaïl Niar (ArabWIC, 2021)

Hardware-Aware Neural Architecture Search: Survey and Taxonomy. - Hadjer Benmeziane; Kaoutar El Maghraoui; Hamza Ouarnoughi; Smaïl Niar; Martin Wistuba; Naigang Wang (IJCAI, 2021)

Performance Analysis of Deep Learning Workloads on a Composable System. - Kaoutar El Maghraoui; Lorraine M. Herger; Chekuri Choudary; Kim Tran; Todd Deshane; David Hanson (IPDPS Workshops, 2021)

A Comprehensive Survey on Hardware-Aware Neural Architecture Search. - Hadjer Benmeziane; Kaoutar El Maghraoui; Hamza Ouarnoughi; Smaïl Niar; Martin Wistuba; Naigang Wang (CoRR, 2021)

CaW-NAS: Compression Aware Neural Architecture Search. - Hadjer Benmeziane; Hamza Ouranoughi; Smaïl Niar; Kaoutar El Maghraoui (DSD, 2022)

Real-time style transfer with efficient vision transformers. - Hadjer Benmeziane; Hamza Ouarnoughi; Kaoutar El Maghraoui; Smaïl Niar (EdgeSys@EuroSys, 2022)

Pareto Rank Surrogate Model for Hardware-aware Neural Architecture Search. - Hadjer Benmeziane; Smaïl Niar; Hamza Ouarnoughi; Kaoutar El Maghraoui (ISPASS, 2022)

Deep Compression of Pre-trained Transformer Models. - Naigang Wang; Chi-Chun (Charlie) Liu; Swagath Venkataramani; Sanchari Sen; Chia-Yu Chen; Kaoutar El Maghraoui; Vijayalakshmi Srinivasan; Leland Chang (NeurIPS, 2022)

Special issue on recent advances in autonomous vehicle solutions in the digital continuum. - Ozcan Ozturk 001; Sabri Pllana; Smaïl Niar; Kaoutar El Maghraoui (Computing, 2022)

FactSheets for Hardware-Aware AI Models: A Case Study of Analog In Memory Computing AI Models. - Brandon Dominique; Kaoutar El Maghraoui; David Piorkowski; Lorraine Herger (SSE, 2023)

Pareto Rank-Preserving Supernetwork for Hardware-Aware Neural Architecture Search. - Hadjer Benmeziane; Kaoutar El Maghraoui; Hamza Ouarnoughi; Smaïl Niar (ECAI, 2023)

AnalogNAS: A Neural Network Design Framework for Accurate Inference with Analog In-Memory Computing. - Hadjer Benmeziane; Corey Lammie; Irem Boybat; Malte J. Rasch; Manuel Le Gallo; Hsinyu Tsai; Ramachandran Muralidhar; Smaïl Niar; Hamza Ouarnoughi; Vijay Narayanan; Abu Sebastian; Kaoutar El Maghraoui (EDGE, 2023)

Using the IBM Analog In-Memory Hardware Acceleration Kit for Neural Network Training and Inference. - Manuel Le Gallo; Corey Lammie; Julian Büchel; Fabio Carta; Omobayode Fagbohungbe; Charles Mackin; Hsinyu Tsai; Vijay Narayanan; Abu Sebastian; Kaoutar El Maghraoui; Malte J. Rasch (CoRR, 2023)

Grassroots Operator Search for Model Edge Adaptation. - Hadjer Benmeziane; Kaoutar El Maghraoui; Hamza Ouarnoughi; Smaïl Niar (CoRR, 2023)

Multi-objective Hardware-aware Neural Architecture Search with Pareto Rank-preserving Surrogate Models. - Hadjer Benmeziane; Hamza Ouarnoughi; Kaoutar El Maghraoui; Smaïl Niar (ACM Trans. Archit. Code Optim., 2023)

Analog AI as a Service: A Cloud Platform for In-Memory Computing. - Kaoutar El Maghraoui; Kim Tran; Kurtis Ruby; Borja Godoy; Jordan Murray; Manuel Le Gallo-Bourdeau; Todd Deshane; Pablo Gonzalez; Diego Moreda; Hadjer Benmeziane; Corey Liam Lammie; Julian Büchel; et al. (SSE, 2024)

EfficientMedSAM: Accelerating Medical Image Segmentation via Neural Architecture Search and Knowledge Distillation. - Arnold Caleb Asiimwe; William Das; Hadjer Benmeziane; Kaoutar El Maghraoui (EDGE, 2024)

Are Large Language Models Good Neural Architecture Generators for Edge? - Hadjer Benmeziane; Kaoutar El Maghraoui (EDGE, 2024)

Analog In-Memory Computing with Uncertainty Quantification for Efficient Edge-based Medical Imaging Segmentation. - Imane Hamzaoui; Hadjer Benmeziane; Zayneb Cherif; Kaoutar El Maghraoui (Tiny Papers @ ICLR, 2024)

A Provably Effective Method for Pruning Experts in Fine-tuned Sparse Mixture-of-Experts. - Mohammed Nowaz Rabbani Chowdhury; Meng Wang 003; Kaoutar El Maghraoui; Naigang Wang; Pin-Yu Chen; Christopher D. Carothers (ICML, 2024)

Medical Neural Architecture Search: Survey and Taxonomy. - Hadjer Benmeziane; Imane Hamzaoui; Zayneb Cherif; Kaoutar El Maghraoui (IJCAI, 2024)

DfuseNAS: A Diffusion-Based Neural Architecture Search. - Lotfi Abdelkrim Mecharbat; Hadjer Benmeziane; Hamza Ouarnoughi; Smaïl Niar; Kaoutar El Maghraoui (IJCNN, 2024)

Pipeline Gradient-based Model Training on Analog In-memory Accelerators. - Zhaoxian Wu; Quan Xiao; Tayfun Gokmen; Hsinyu Tsai; Kaoutar El Maghraoui; Tianyi Chen (CoRR, 2024)

Grassroots operator search for model edge adaptation using mathematical search space. - Hadjer Benmeziane; Kaoutar El Maghraoui; Hamza Ouarnoughi; Smaïl Niar (Future Gener. Comput. Syst., 2024)

Analog-AI Hardware Accelerators for Low-Latency Transformer-Based Language Models (Invited). - Geoffrey W. Burr; H. Tsai; Irem Boybat; William Andrew Simon; Julian Büchel; Athanasios Vasilopoulos; Pritish Narayanan; Andrea Fasoli; Kohji Hosokawa; Manuel Le Gallo; M. Ishii; Yasuteru Kohda; et al. (CICC, 2025)

NORA: Noise-Optimized Rescaling of LLMs on Analog Compute-in-Memory Accelerators. - Yayue Hou; Hsinyu Tsai; Kaoutar El Maghraoui; Tayfun Gokmen; Geoffrey W. Burr; Liu Liu (DATE, 2025)

Analog AI Accelerators for Transformer-based Language Models: Hardware, Workload, and Power Performance. - H. Tsai; Hadjer Benmeziane; Irem Boybat; Julian Büchel; Pritish Narayanan; Manuel Le Gallo; S. Jain; Athanasios Vasilopoulos; W. Simon; Kohji Hosokawa; M. Ishii; Yasuteru Kohda; et al. (IMW, 2025)

Analog Foundation Models. - Julian Büchel; Iason Chalas; Giovanni Acampa; An Chen 002; Omobayode Fagbohungbe; Sidney Tsai; Kaoutar El Maghraoui; Manuel Le Gallo; Abbas Rahimi; Abu Sebastian (CoRR, 2025)

EvidenceMoE: A Physics-Guided Mixture-of-Experts with Evidential Critics for Advancing Fluorescence Light Detection and Ranging in Scattering Media. - Ismail Erbas; Ferhat Demirkiran; Karthik Swaminathan; Naigang Wang; Navid Ibtehaj Nizam; Stefan T. Radev; Kaoutar El Maghraoui; Xavier Intes; Vikas Pandey (CoRR, 2025)

Paged Attention Meets FlexAttention: Unlocking Long-Context Efficiency in Deployed Inference. - Thomas Joshi; Herman Saini; Neil Dhillon; Antoni Viros i Martin; Kaoutar El Maghraoui (CoRR, 2025)

Accelerating LLM Inference via Dynamic KV Cache Placement in Heterogeneous Memory System. - Yunhua Fang; Rui Xie 006; Asad Ul Haq; Linsen Ma; Kaoutar El Maghraoui; Naigang Wang; Meng Wang; Liu Liu 017; Tong Zhang 002 (CoRR, 2025)