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Anne C. Elster
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2020 – today
- 2024
- [c48]Anne C. Elster, Jan Christian Meyer:
HCW 2024 Preface and Committee List. IPDPS (Workshops) 2024: 1 - [c47]Anne C. Elster, Jan Christian Meyer:
Message from the HCW 2024 General Co-Chairs. IPDPS (Workshops) 2024: 3 - 2023
- [j15]Zheng Xiao
, PengCheng Wei
A Distributed Integrated Feature Selection Scheme for Column Subset Selection. IEEE Trans. Knowl. Data Eng. 35(3): 2193-2205 (2023) - [c46]Ari Rasch, Richard Schulze, Denys Shabalin, Anne C. Elster, Sergei Gorlatch, Mary W. Hall:
(De/Re)-Compositions Expressed Systematically via MDH-Based Schedules. CC 2023: 61-72 - [c45]Anne C. Elster, Jan Christian Meyer:
Message from the HCW 2023 Technical Program Committee Co-Chairs. IPDPS Workshops 2023: 4 - [c44]Jacob O. Tørring, Ben van Werkhoven, Filip Petrovic, Floris-Jan Willemsen, Jiri Filipovic, Anne C. Elster:
Towards a Benchmarking Suite for Kernel Tuners. IPDPS Workshops 2023: 724-733 - [c43]Michael Alexander
EduHPC Lightning Talk Summary. SC Workshops 2023: 374-378 - [i8]Jacob O. Tørring, Ben van Werkhoven, Filip Petrovic, Floris-Jan Willemsen, Jiri Filipovic, Anne C. Elster:
Towards a Benchmarking Suite for Kernel Tuners. CoRR abs/2303.08976 (2023) - 2022
- [j14]Anne C. Elster
Nvidia Hopper GPU and Grace CPU Highlights. Comput. Sci. Eng. 24(2): 95-100 (2022) - [j13]Sonia Lopez Alarcon
Quantum Computing and High-Performance Computing: Compilation Stack Similarities. Comput. Sci. Eng. 24(6): 66-71 (2022) - [c42]Jakob Rødsgaard Jørgensen, Katrine Scheel, Ira Assent, Ajeet Ram Pathak
GPU-FAST-PROCLUS: A Fast GPU-parallelized Approach to Projected Clustering. EDBT 2022: 2:196-2:206 - [c41]Jacob O. Tørring, Anne C. Elster:
Analyzing Search Techniques for Autotuning Image-based GPU Kernels: The Impact of Sample Sizes. IPDPS Workshops 2022: 972-981 - [i7]Jacob O. Tørring, Anne C. Elster:
Analyzing Search Techniques for Autotuning Image-based GPU Kernels: The Impact of Sample Sizes. CoRR abs/2203.13577 (2022) - 2021
- [j12]Anne C. Elster
The European Factor: From ARM to Atos. Comput. Sci. Eng. 23(1): 102-105 (2021) - [j11]Murali Emani
Accelerating Scientific Applications With SambaNova Reconfigurable Dataflow Architecture. Comput. Sci. Eng. 23(2): 114-119 (2021) - [j10]Miriam Leeser
FPGAs in the Cloud. Comput. Sci. Eng. 23(6): 72-76 (2021) - [c40]Jacob O. Tørring, Jan Christian Meyer, Anne C. Elster:
Autotuning Benchmarking Techniques: A Roofline Model Case Study. IPDPS Workshops 2021: 806-815 - [i6]Jacob Odgård Tørring, Jan Christian Meyer, Anne C. Elster:
Autotuning Benchmarking Techniques: A Roofline Model Case Study. CoRR abs/2103.08716 (2021) - [i5]Lars Bjertnes, Jacob O. Tørring, Anne C. Elster:
LS-CAT: A Large-Scale CUDA AutoTuning Dataset. CoRR abs/2103.14409 (2021) - 2020
- [j9]Ramshankar Venkatakrishnan, Ashish Misra, Volodymyr V. Kindratenko, Anne C. Elster:
High-Level Synthesis-Based Approach for Accelerating Scientific Codes on FPGAs. Comput. Sci. Eng. 22(4): 104-109 (2020)
2010 – 2019
- 2019
- [c39]Samira Pakdel, Anne C. Elster:
Using Heterogeneous Graph Nodes (HGNs) to Minimize Overall Graph Execution Time in Heterogeneous Distributed Systems Modeling. PDP 2019: 211-216 - [c38]William S. Monroe, Michael Witt, 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, Brian Smith, Jens Mache, Trilce Estrada
Lightning Talks of EduHPC 2019. EduHPC@SC 2019: 25-31 - 2018
- [j8]Thomas L. Falch
ImageCL: Language and source-to-source compiler for performance portability, load balancing, and scalability prediction on heterogeneous systems. Concurr. Comput. Pract. Exp. 30(9) (2018) - [j7]Francisco Almeida
Energy monitoring as an essential building block towards sustainable ultrascale systems. Sustain. Comput. Informatics Syst. 17: 27-42 (2018) - [c37]Malik Khan, Tobias Becker
Container-Based Virtualization for Heterogeneous HPC Clouds: Insights from the EU H2020 CloudLightning Project. IC2E 2018: 392-397 - [c36]Bart Iver van Blokland, Theoharis Theoharis, Anne C. Elster:
Quasi Spin Images. NIK 2018 - 2017
- [j6]Thomas L. Falch, Anne C. Elster:
Machine learning-based auto-tuning for enhanced performance portability of OpenCL applications. Concurr. Comput. Pract. Exp. 29(8) (2017) - [c35]Antonios T. Makaratzis, Malik Muhammad Zaki Murtaza Khan, Konstantinos M. Giannoutakis
GPU Power Modeling of HPC Applications for the Simulation of Heterogeneous Clouds. PPAM (2) 2017: 91-101 - 2016
- [c34]Theo Lynn
CLOUDLIGHTNING: A Framework for a Self-organising and Self-managing Heterogeneous Cloud. CLOSER (1) 2016: 333-338 - [c33]Thomas L. Falch, Anne C. Elster:
ImageCL: An image processing language for performance portability on heterogeneous systems. HPCS 2016: 562-569 - [c32]Malik Muhammad Zaki Murtaza Khan, Anne C. Elster:
Characterizing numascale clusters with GPUs: MPI-based and GPU interconnect benchmarks. HPCS 2016: 840-847 - [i4]Thomas L. Falch, Anne C. Elster:
ImageCL: An Image Processing Language for Performance Portability on Heterogeneous Systems. CoRR abs/1605.06399 (2016) - 2015
- [j5]Erik Smistad, Anne C. Elster
Real-time gradient vector flow on GPUs using OpenCL. J. Real Time Image Process. 10(1): 67-74 (2015) - [j4]Erik Smistad, Thomas L. Falch, Mohammadmehdi Bozorgi, Anne C. Elster
Medical image segmentation on GPUs - A comprehensive review. Medical Image Anal. 20(1): 1-18 (2015) - [c31]Thomas L. Falch, Anne C. Elster
Machine Learning Based Auto-Tuning for Enhanced OpenCL Performance Portability. IPDPS Workshops 2015: 1231-1240 - [c30]Johan K. Helsing, Anne C. Elster:
Noise Modeler: An Interactive Editor and Library for Procedural Terrains via Continuous Generation and Compilation of GPU Shaders. ICEC 2015: 469-474 - [i3]Thomas L. Falch, Anne C. Elster:
Machine Learning Based Auto-tuning for Enhanced OpenCL Performance Portability. CoRR abs/1506.00842 (2015) - 2014
- [j3]Erik Smistad, Anne C. Elster
GPU accelerated segmentation and centerline extraction of tubular structures from medical images. Int. J. Comput. Assist. Radiol. Surg. 9(4): 561-575 (2014) - [c29]Thomas L. Falch, Anne C. Elster
Register Caching for Stencil Computations on GPUs. SYNASC 2014: 479-486 - [i2]Daniel S. Katz, Sou-Cheng T. Choi, Hilmar Lapp, Ketan Maheshwari, Frank Löffler, Matthew J. Turk, Marcus D. Hanwell, Nancy Wilkins-Diehr, James Hetherington, James Howison, Shel Swenson, Gabrielle Allen, Anne C. Elster, G. Bruce Berriman
Summary of the First Workshop on Sustainable Software for Science: Practice and Experiences (WSSSPE1). CoRR abs/1404.7414 (2014) - 2013
- [j2]Thomas L. Falch, Jostein B. Fløystad, Dag Werner Breiby, Anne C. Elster
GPU-Accelerated Visualization of Scattered Point Data. IEEE Access 1: 564-576 (2013) - [c28]Grant Strong, Rune Jensen, Minglun Gong
Organizing Visual Data in Structured Layout by Maximizing Similarity-Proximity Correlation. ISVC (2) 2013: 703-713 - [i1]Anne C. Elster:
Software for Science: Some Personal Reflections. CoRR abs/1309.2357 (2013) - 2012
- [c27]Miguel A. Martínez-del-Amor
Population Dynamics P Systems on CUDA. CMSB 2012: 247-266 - 2011
- [c26]Jan Christian Meyer, Anne C. Elster
Optimized Barriers for Heterogeneous Systems Using MPI. IPDPS Workshops 2011: 20-33 - [c25]Ahmed A. Aqrawi, Anne C. Elster
Bandwidth Reduction through Multithreaded Compression of Seismic Images. IPDPS Workshops 2011: 1730-1739 - 2010
- [c24]Holger Ludvigsen, Anne C. Elster:
Real-Time Ray Tracing Using Nvidia OptiX. Eurographics (Short Papers) 2010: 65-68 - [c23]Jan Christian Meyer, Anne C. Elster
Performance modeling of heterogeneous systems. IPDPS Workshops 2010: 1-4 - [c22]Øystein E. Krog, Anne C. Elster
Fast GPU-Based Fluid Simulations Using SPH. PARA (2) 2010: 98-109 - [c21]Thorvald Natvig, Anne C. Elster
Run-Time Analysis and Instrumentation for Communication Overlap Potential. EuroMPI 2010: 42-49 - [c20]Thorvald Natvig, Anne C. Elster
Automatic Run-time Parallelization and Transformation of I/O. SC 2010: 1-10
2000 – 2009
- 2009
- [c19]Anne C. Elster
A super-efficient adaptable bit-reversal algorithm for multithreaded architectures. IPDPS 2009: 1-8 - [c18]Daniele G. Spampinato
Linear optimization on modern GPUs. IPDPS 2009: 1-8 - [c17]Anne C. Elster
Parallel Computing with GPUs. PARCO 2009: 533-535 - [c16]Eirik O. Aksnes, Anne C. Elster
Porous Rock Simulations and Lattice Boltzmann on GPUs. PARCO 2009: 536-545 - [c15]Daniele G. Spampinato
Modelling Multi-GPU Systems. PARCO 2009: 562-569 - [c14]Rune J. Hovland, Anne C. Elster
Throughput Computing on Future GPUs. PARCO 2009: 570-577 - 2008
- [j1]Jan Christian Meyer, Anne C. Elster:
Latency Impact on Spin-Lock Algorithms for Modern Shared Memory Multiprocessors. Scalable Comput. Pract. Exp. 9(3) (2008) - [c13]Jan Christian Meyer, Anne C. Elster
Latency Impact on Spin-Lock Algorithms for Modern Shared Memory Multiprocessors. CISIS 2008: 786-791 - 2006
- [c12]Anne C. Elster, Otto J. Anshus:
HPC Environments - Visualization and Parallelization Tools: Minisymposium Abstract. PARA 2006: 177 - [c11]Jan Christian Meyer, Anne C. Elster:
A Load Balancing Strategy for Computations on Large, Read-Only Data Sets. PARA 2006: 198-207 - [c10]Thorvald Natvig, Anne C. Elster:
Automatic and Transparent Optimizations of an Application's MPI Communication. PARA 2006: 208-217 - [c9]Ingar Saltvik, Anne C. Elster, Henrik R. Nagel:
Parallel Methods for Real-Time Visualization of Snow. PARA 2006: 218-227 - 2004
- [c8]Einar M. R. Rosenvinge, Anne C. Elster
Online Task Scheduling on Heterogeneous Clusters: An Experimental Study. PARA 2004: 1141-1150 - 2003
- [c7]T. Vik, Anne C. Elster, T. Hallgren:
Real-time Visualization of Smoke through Parallelization. PARCO 2003: 371-378 - [c6]Otto J. Anshus, Anne C. Elster, Brian Vinter:
Cluster Computing as a Teaching Tool. PARCO 2003: 887-894 - 2002
- [c5]Anne C. Elster:
High-Performance Computing: Past, Present, and Future. PARA 2002: 433-444 - [c4]Paul Sack, Anne C. Elster:
Fast MPI Broadcasts through Reliable Multicasting. PARA 2002: 445-453
1980 – 1989
- 1989
- [c3]Anne C. Elster:
Fast bit-reversal algorithms. ICASSP 1989: 1099-1102 - [c2]Anne C. Elster, Anthony P. Reeves:
Fault-Tolerant Matrix Operations on Hypercube Multiprocessors. ICPP (3) 1989: 169-176 - 1988
- [c1]Anne C. Elster, Anthony P. Reeves:
Block-matrix operations using orthogonal trees. C³P 1988: 1554-1561
Coauthor Index
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last updated on 2024-10-07 21:24 CEST by the dblp team
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