Block-matrix operations using orthogonal trees. - Anne C. Elster; Anthony P. Reeves (C³P, 1988)

Fast bit-reversal algorithms. - Anne C. Elster (ICASSP, 1989)

Fault-Tolerant Matrix Operations on Hypercube Multiprocessors. - Anne C. Elster; Anthony P. Reeves (ICPP (3), 1989)

High-Performance Computing: Past, Present, and Future. - Anne C. Elster (PARA, 2002)

Fast MPI Broadcasts through Reliable Multicasting. - Paul Sack; Anne C. Elster (PARA, 2002)

Cluster Computing as a Teaching Tool. - Otto J. Anshus; Anne C. Elster; Brian Vinter (PARCO, 2003)

Real-time Visualization of Smoke through Parallelization. - T. Vik; Anne C. Elster; T. Hallgren (PARCO, 2003)

Online Task Scheduling on Heterogeneous Clusters: An Experimental Study. - Einar M. R. Rosenvinge; Anne C. Elster; Cyril Banino (PARA, 2004)

HPC Environments - Visualization and Parallelization Tools: Minisymposium Abstract. - Anne C. Elster; Otto J. Anshus (PARA, 2006)

A Load Balancing Strategy for Computations on Large, Read-Only Data Sets. - Jan Christian Meyer; Anne C. Elster (PARA, 2006)

Automatic and Transparent Optimizations of an Application's MPI Communication. - Thorvald Natvig; Anne C. Elster (PARA, 2006)

Parallel Methods for Real-Time Visualization of Snow. - Ingar Saltvik; Anne C. Elster; Henrik R. Nagel (PARA, 2006)

Latency Impact on Spin-Lock Algorithms for Modern Shared Memory Multiprocessors. - Jan Christian Meyer; Anne C. Elster (Scalable Comput. Pract. Exp., 2008)

A super-efficient adaptable bit-reversal algorithm for multithreaded architectures. - Anne C. Elster; Jan Christian Meyer (IPDPS, 2009)

Linear optimization on modern GPUs. - Daniele G. Spampinato; Anne C. Elster (IPDPS, 2009)

Porous Rock Simulations and Lattice Boltzmann on GPUs. - Eirik O. Aksnes; Anne C. Elster (PARCO, 2009)

Parallel Computing with GPUs. - Anne C. Elster; Stéphane Requena (PARCO, 2009)

Throughput Computing on Future GPUs. - Rune J. Hovland; Anne C. Elster (PARCO, 2009)

Modelling Multi-GPU Systems. - Daniele G. Spampinato; Anne C. Elster; Thorvald Natvig (PARCO, 2009)

Real-Time Ray Tracing Using Nvidia OptiX. - Holger Ludvigsen; Anne C. Elster (Eurographics (Short Papers), 2010)

Performance modeling of heterogeneous systems. - Jan Christian Meyer; Anne C. Elster (IPDPS Workshops, 2010)

Fast GPU-Based Fluid Simulations Using SPH. - Øystein E. Krog; Anne C. Elster (PARA (2), 2010)

Run-Time Analysis and Instrumentation for Communication Overlap Potential. - Thorvald Natvig; Anne C. Elster (EuroMPI, 2010)

Automatic Run-time Parallelization and Transformation of I/O. - Thorvald Natvig; Anne C. Elster; Jan Christian Meyer (SC, 2010)

Bandwidth Reduction through Multithreaded Compression of Seismic Images. - Ahmed A. Aqrawi; Anne C. Elster (IPDPS Workshops, 2011)

Optimized Barriers for Heterogeneous Systems Using MPI. - Jan Christian Meyer; Anne C. Elster (IPDPS Workshops, 2011)

Population Dynamics P Systems on CUDA. - Miguel A. Martínez-del-Amor; Ignacio Pérez-Hurtado; Adolfo Gastalver-Rubio; Anne C. Elster; Mario J. Pérez-Jiménez (CMSB, 2012)

Organizing Visual Data in Structured Layout by Maximizing Similarity-Proximity Correlation. - Grant Strong; Rune Jensen; Minglun Gong; Anne C. Elster (ISVC (2), 2013)

GPU-Accelerated Visualization of Scattered Point Data. - Thomas L. Falch; Jostein B. Fløystad; Dag Werner Breiby; Anne C. Elster (IEEE Access, 2013)

Software for Science: Some Personal Reflections. - Anne C. Elster (CoRR, 2013)

Register Caching for Stencil Computations on GPUs. - Thomas L. Falch; Anne C. Elster (SYNASC, 2014)

GPU accelerated segmentation and centerline extraction of tubular structures from medical images. - Erik Smistad; Anne C. Elster; Frank Lindseth (Int. J. Comput. Assist. Radiol. Surg., 2014)

Summary of the First Workshop on Sustainable Software for Science: Practice and Experiences (WSSSPE1). - Daniel S. Katz; Sou-Cheng T. Choi; Hilmar Lapp; Ketan Maheshwari; Frank Löffler 001; Matthew Turk 002; Marcus D. Hanwell; Nancy Wilkins-Diehr; James Hetherington; James Howison; Shel Swenson; Gabrielle Allen; et al. (CoRR, 2014)

Machine Learning Based Auto-Tuning for Enhanced OpenCL Performance Portability. - Thomas L. Falch; Anne C. Elster (IPDPS Workshops, 2015)

Noise Modeler: An Interactive Editor and Library for Procedural Terrains via Continuous Generation and Compilation of GPU Shaders. - Johan K. Helsing; Anne C. Elster (ICEC, 2015)

Real-time gradient vector flow on GPUs using OpenCL. - Erik Smistad; Anne C. Elster; Frank Lindseth (J. Real Time Image Process., 2015)

Medical image segmentation on GPUs - A comprehensive review. - Erik Smistad; Thomas L. Falch; Mohammadmehdi Bozorgi; Anne C. Elster; Frank Lindseth (Medical Image Anal., 2015)

CLOUDLIGHTNING: A Framework for a Self-organising and Self-managing Heterogeneous Cloud. - Theo Lynn; Huanhuan Xiong; Dapeng Dong; Bilal Momani; George A. Gravvanis; Christos K. Filelis-Papadopoulos; Anne C. Elster; Malik Muhammad Zaki Murtaza Khan; Dimitrios Tzovaras; Konstantinos M. Giannoutakis; Dana Petcu; Marian Neagul; et al. (CLOSER (1), 2016)

ImageCL: An image processing language for performance portability on heterogeneous systems. - Thomas L. Falch; Anne C. Elster (HPCS, 2016)

Characterizing numascale clusters with GPUs: MPI-based and GPU interconnect benchmarks. - Malik Muhammad Zaki Murtaza Khan; Anne C. Elster (HPCS, 2016)

GPU Power Modeling of HPC Applications for the Simulation of Heterogeneous Clouds. - Antonios T. Makaratzis; Malik Muhammad Zaki Murtaza Khan; Konstantinos M. Giannoutakis; Anne C. Elster; Dimitrios Tzovaras (PPAM (2), 2017)

Machine learning-based auto-tuning for enhanced performance portability of OpenCL applications. - Thomas L. Falch; Anne C. Elster (Concurr. Comput. Pract. Exp., 2017)

Container-Based Virtualization for Heterogeneous HPC Clouds: Insights from the EU H2020 CloudLightning Project. - Malik Khan; Tobias Becker; Perumal Kuppuudaiyar; Anne C. Elster (IC2E, 2018)

Quasi Spin Images. - Bart Iver van Blokland; Theoharis Theoharis; Anne C. Elster (NIK, 2018)

ImageCL: Language and source-to-source compiler for performance portability, load balancing, and scalability prediction on heterogeneous systems. - Thomas L. Falch; Anne C. Elster (Concurr. Comput. Pract. Exp., 2018)

Energy monitoring as an essential building block towards sustainable ultrascale systems. - Francisco Almeida; Marcos Dias de Assunção; Jorge G. Barbosa; Vicente Blanco Pérez; Ivona Brandic; Georges Da Costa; Manuel F. Dolz; Anne C. Elster; Mateusz Jarus; Helen D. Karatza; Laurent Lefèvre; Ilias Mavridis; et al. (Sustain. Comput. Informatics Syst., 2018)

Using Heterogeneous Graph Nodes (HGNs) to Minimize Overall Graph Execution Time in Heterogeneous Distributed Systems Modeling. - Samira Pakdel; Anne C. Elster (PDP, 2019)

Lightning Talks of EduHPC 2019. - William S. Monroe; Michael Witt 002; Maria Pantoja; Christopher Lupo; Anne C. Elster; Joel C. Adams; Mark C. Wissink; Hang Liu; Chunhua Liao; Raphael B. Yehezkael; Benjamin H. Glick; Ravi Tripathi; et al. (EduHPC@SC, 2019)

High-Level Synthesis-Based Approach for Accelerating Scientific Codes on FPGAs. - Ramshankar Venkatakrishnan; Ashish Misra; Volodymyr V. Kindratenko; Anne C. Elster (Comput. Sci. Eng., 2020)

Autotuning Benchmarking Techniques: A Roofline Model Case Study. - Jacob O. Tørring; Jan Christian Meyer; Anne C. Elster (IPDPS Workshops, 2021)

LS-CAT: A Large-Scale CUDA AutoTuning Dataset. - Lars Bjertnes; Jacob O. Tørring; Anne C. Elster (CoRR, 2021)

The European Factor: From ARM to Atos. - Anne C. Elster; Volodymyr V. Kindratenko (Comput. Sci. Eng., 2021)

Accelerating Scientific Applications With SambaNova Reconfigurable Dataflow Architecture. - Murali Emani; Venkatram Vishwanath; Corey Adams; Michael E. Papka; Rick Stevens; Laura Florescu; Sumti Jairath; William Liu; Tejas Nama; Arvind Sujeeth; Volodymyr V. Kindratenko; Anne C. Elster (Comput. Sci. Eng., 2021)

FPGAs in the Cloud. - Miriam Leeser; Suranga Handagala; Michael Zink; Volodymyr V. Kindratenko; Anne C. Elster (Comput. Sci. Eng., 2021)

GPU-FAST-PROCLUS: A Fast GPU-parallelized Approach to Projected Clustering. - Jakob Rødsgaard Jørgensen; Katrine Scheel; Ira Assent; Ajeet Ram Pathak; Anne C. Elster (EDBT, 2022)

Analyzing Search Techniques for Autotuning Image-based GPU Kernels: The Impact of Sample Sizes. - Jacob O. Tørring; Anne C. Elster (IPDPS Workshops, 2022)

Nvidia Hopper GPU and Grace CPU Highlights. - Anne C. Elster; Tor A. Haugdahl (Comput. Sci. Eng., 2022)

Quantum Computing and High-Performance Computing: Compilation Stack Similarities. - Sonia Lopez Alarcon; Anne C. Elster (Comput. Sci. Eng., 2022)

(De/Re)-Compositions Expressed Systematically via MDH-Based Schedules. - Ari Rasch; Richard Schulze; Denys Shabalin; Anne C. Elster; Sergei Gorlatch; Mary W. Hall (CC, 2023)

Message from the HCW 2023 Technical Program Committee Co-Chairs. - Anne C. Elster; Jan Christian Meyer (IPDPS Workshops, 2023)

Towards a Benchmarking Suite for Kernel Tuners. - Jacob O. Tørring; Ben van Werkhoven; Filip Petrovic; Floris-Jan Willemsen; Jiri Filipovic; Anne C. Elster (IPDPS Workshops, 2023)

EduHPC Lightning Talk Summary. - Michael Alexander; Sanjukta Bhowmick; Befikir Bogale; Gilberto Díaz; Anne C. Elster; Danielle A. Ellsworth; Carlos Jaime Barrios Hernández; Evan Jaffe; Jack Marquez; Alison Melton; Aashish Pandey; Suzanne Parete-Koon; et al. (SC Workshops, 2023)

A Distributed Integrated Feature Selection Scheme for Column Subset Selection. - Zheng Xiao; PengCheng Wei; Anthony Theodore Chronopoulos; Anne C. Elster (IEEE Trans. Knowl. Data Eng., 2023)

HCW 2024 Preface and Committee List. - Anne C. Elster; Jan Christian Meyer (IPDPS (Workshops), 2024)

Message from the HCW 2024 General Co-Chairs. - Anne C. Elster; Jan Christian Meyer (IPDPS (Workshops), 2024)

Scheduling Languages: A Past, Present, and Future Taxonomy. - Mary W. Hall; Cosmin E. Oancea; Anne C. Elster; Ari Rasch; Sameeran Joshi; Amir Mohammad Tavakkoli; Richard Schulze (CoRR, 2024)