GASPI - A Partitioned Global Address Space Programming Interface. - Thomas Alrutz; Jan Backhaus; Thomas Brandes; Vanessa End; Thomas Gerhold; Alfred Geiger; Daniel Grünewald; Vincent Heuveline; Jens Jägersküpper; Andreas Knüpfer; Olaf Krzikalla; Edmund Kügeler; et al. (Facing the Multicore-Challenge, 2012)

GGAS: Global GPU address spaces for efficient communication in heterogeneous clusters. - Lena Oden; Holger Fröning (CLUSTER, 2013)

GPI2 for GPUs: A PGAS framework for efficient communication in hybrid clusters. - Lena Oden (PARCO, 2013)

Energy-Efficient Collective Reduce and Allreduce Operations on Distributed GPUs. - Lena Oden; Benjamin Klenk; Holger Fröning (CCGRID, 2014)

Analyzing Put/Get APIs for Thread-Collaborative Processors. - Benjamin Klenk; Lena Oden; Holger Fröning (ICPP Workshops, 2014)

Infiniband-Verbs on GPU: A Case Study of Controlling an Infiniband Network Device from the GPU. - Lena Oden; Holger Fröning; Franz-Josef Pfreundt (IPDPS Workshops, 2014)

Energy-efficient stencil computations on distributed GPUs using dynamic parallelism and GPU-controlled communication. - Lena Oden; Benjamin Klenk; Holger Fröning (E2SC@SC, 2014)

Direct communication methods for distributed GPUs. - Lena Oden (2014)

Analyzing communication models for distributed thread-collaborative processors in terms of energy and time. - Benjamin Klenk; Lena Oden; Holger Fröning (ISPASS, 2015)

Analyzing GPU-controlled communication with dynamic parallelism in terms of performance and energy. - Lena Oden; Benjamin Klenk; Holger Fröning (Parallel Comput., 2016)

A Performance Study of UCX over InfiniBand. - Nikela Papadopoulou; Lena Oden; Pavan Balaji (CCGrid, 2017)

Hexe: A Toolkit for Heterogeneous Memory Management. - Lena Oden; Pavan Balaji (ICPADS, 2017)

Why is MPI so slow?: analyzing the fundamental limits in implementing MPI-3.1. - Ken Raffenetti; Abdelhalim Amer; Lena Oden; Charles Archer; Wesley Bland; Hajime Fujita 002; Yanfei Guo; Tomislav Janjusic; Dmitry Durnov; Michael Blocksome; Min Si; Sangmin Seo; et al. (SC, 2017)

InfiniBand Verbs on GPU: a case study of controlling an InfiniBand network device from the GPU. - Lena Oden; Holger Fröning (Int. J. High Perform. Comput. Appl., 2017)

Evaluating the Benefits of Key-Value Databases for Scientific Applications. - Pol Santamaria; Lena Oden; Eloy Gil; Yolanda Becerra 001; Raül Sirvent; Philipp Glock; Jordi Torres (ICCS (1), 2019)

IO Challenges for Human Brain Atlasing Using Deep Learning Methods - An In-Depth Analysis. - Lena Oden; Christian Schiffer; Hannah Spitzer; Timo Dickscheid; Dirk Pleiter (PDP, 2019)

Implementation and Evaluation of CUDA-Unified Memory in Numba. - Lena Oden; Tarek Saidi (Euro-Par Workshops, 2020)

Workshop 8: AsHES Accelerators and Hybrid Exascale Systems. - Min Si; Lena Oden; Simon Garcia De Gonzalo (IPDPS Workshops, 2020)

Lessons learned from comparing C-CUDA and Python-Numba for GPU-Computing. - Lena Oden (PDP, 2020)

Fall-detection on a wearable micro controller using machine learning algorithms. - Lena Oden; Thorsten Witt (SMARTCOMP, 2020)

Improving Cryptanalytic Applications with Stochastic Runtimes on GPUs. - Lena Oden; Jörg Keller 001 (IPDPS Workshops, 2021)

Comparing Data Staging Techniques for Large Scale Brain Images. - Lena Oden (IEEE Trans. Emerg. Top. Comput., 2021)

Quality-aware scheduling of on-board and off-board data analysis in vehicle development. - Michaela Gaudszun; Lena Oden; Bernhard Schlegel (ICPS, 2022)

12th IEEE International Workshop on Accelerators and Hybrid Emerging Systems. - Lena Oden (IPDPS Workshops, 2022)

Improving cryptanalytic applications with stochastic runtimes on GPUs and multicores. - Lena Oden; Jörg Keller 001 (Parallel Comput., 2022)

Special issue on new trends in high-performance computing: Software systems and applications. - Sunita Chandrasekaran; Min Si; Jidong Zhai; Lena Oden (Softw. Pract. Exp., 2023)

Simplifying non-contiguous data transfer with MPI for Python. - Klaus Nölp; Lena Oden (J. Supercomput., 2023)

HIPS 2024 Preface and Committees. - Seyong Lee; Lena Oden (IPDPS (Workshops), 2024)

Integrating Interactive Performance Analysis in Jupyter Notebooks for Parallel Programming Education. - Lena Oden; Klaus Nölp; Philipp Brauner (IPDPS (Workshops), 2024)

nbshmem: Enabling GPU-Initiated Multi-GPU Communication in Python. - Calvin Bombis; Lena Oden (IPDPS (Workshops), 2025)

Preparing MPICH for exascale. - Yanfei Guo; Ken Raffenetti; Hui Zhou 012; Pavan Balaji; Min Si; Abdelhalim Amer; Shintaro Iwasaki; Sangmin Seo; Giuseppe Congiu; Robert Latham; Lena Oden; Thomas Gillis; et al. (Int. J. High Perform. Comput. Appl., 2025)