Search Results - "Elster, Anne C."

A Distributed Integrated Feature Selection Scheme for Column Subset Selection by Xiao, Zheng, Wei, PengCheng, Chronopoulos, Anthony Theodore, Elster, Anne C.

“…The emergence of computer applications often encounter huge volumes of data which need to be stored and processed in a distributed way. Most of the existing…”
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GPU accelerated segmentation and centerline extraction of tubular structures from medical images by Smistad, Erik, Elster, Anne C., Lindseth, Frank

“…Purpose    To create a fast and generic method with sufficient quality for extracting tubular structures such as blood vessels and airways from different…”
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Medical image segmentation on GPUs – A comprehensive review by Smistad, Erik, Falch, Thomas L., Bozorgi, Mohammadmehdi, Elster, Anne C., Lindseth, Frank

“…[Display omitted] •The use of GPUs to accelerate medical image segmentation methods is reviewed.•Criteria for efficient use of GPUs are defined and the…”
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Nvidia Hopper GPU and Grace CPU Highlights by Elster, Anne C., Haugdahl, Tor A., Kindratenko, Volodymyr, Elster, Anne

“…At GTC 2022, Nvidia announced a new product family that aims to cover from small enterprise workloads through exascale high performance computing (HPC) and…”
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The European Factor: From ARM to Atos by Elster, Anne C., Kindratenko, Volodymyr, Elster, Anne

“…Reports on ARM, a 30-year-old U.K.-based semiconductor Intellectual Property (IP) company that started as Advanced RISC Machines Ltd., a joint venture that…”
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Quantum Computing and High-Performance Computing: Compilation Stack Similarities by Alarcon, Sonia Lopez, Elster, Anne C., Elster, Anne, Lopez Alarcon, Sonia

“…There is a great deal of focus on how quantum computing as an accelerator differs from other traditional high-performance computing (HPC) resources, including…”
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Machine learning‐based auto‐tuning for enhanced performance portability of OpenCL applications by Falch, Thomas L., Elster, Anne C.

“…Summary Heterogeneous computing, combining devices with different architectures such as CPUs and GPUs, is rising in popularity and promises increased…”
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GPU-Accelerated Visualization of Scattered Point Data by Falch, Thomas L., Floystad, Jostein BO, Breiby, Dag W., Elster, Anne C.

“…As data sets continue to grow in size, visualization has become a vitally important tool for extracting meaningful knowledge. Scattered point data, which are…”
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ImageCL: Language and source‐to‐source compiler for performance portability, load balancing, and scalability prediction on heterogeneous systems by Falch, Thomas L., Elster, Anne C.

“…Summary Applications written for heterogeneous CPU‐GPU systems often suffer from poor performance portability. Finding good work partitions can also be…”
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Real-time gradient vector flow on GPUs using OpenCL by Smistad, Erik, Elster, Anne C., Lindseth, Frank

“…The Gradient Vector Flow (GVF) is a feature-preserving spatial diffusion of gradients. It is used extensively in several image segmentation and skeletonization…”
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Energy monitoring as an essential building block towards sustainable ultrascale systems by Almeida, Francisco, Assunção, Marcos D., Barbosa, Jorge, Blanco, Vicente, Brandic, Ivona, Da Costa, Georges, Dolz, Manuel F., Elster, Anne C., Jarus, Mateusz, Karatza, Helen D., Lefèvre, Laurent, Mavridis, Ilias, Oleksiak, Ariel, Orgerie, Anne-Cécile, Pierson, Jean-Marc

“…•A survey on energy monitoring solutions and methodologies for large-scale systems.•A list of challenges to be addressed for monitoring and improving the…”
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Applying Transfer Learning to Traffic Surveillance Videos for Accident Detection by Pathak, Ajeet Ram, Elster, Anne C.

“…Automated traffic video surveillance is a crucial research domain in computer vision due to the need to enable highway safety. It is very important to detect…”
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Message from the HCW 2023 Technical Program Committee Co-Chairs by Elster, Anne C., Meyer, Jan C.

“…Welcome to the 32 nd HCW at IPDPS. Heterogeneity can now be found in computing systems ranging from embedded systems to multi-clouds. How to best handle this…”
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Analyzing Search Techniques for Autotuning Image-based GPU Kernels: The Impact of Sample Sizes by Torring, Jacob O., Elster, Anne C.

“…Modern computing systems are increasingly more complex, with their multicore CPUs and GPUs accelerators changing yearly, if not more often. It thus has become…”
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LS-CAT: A Large-Scale CUDA AutoTuning Dataset by Bjertnes, Lars, Torring, Jacob O., Elster, Anne C.

“…The effectiveness of Machine Learning (ML) methods depend on access to large suitable datasets. In this article, we present how we build the LS-CAT…”
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Autotuning Benchmarking Techniques: A Roofline Model Case Study by Torring, Jacob O., Christian Meyer, Jan, Elster, Anne C.

“…Peak performance metrics published by vendors often do not correspond to what can be achieved in practice. It is therefore of great interest to do extensive…”
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Towards a Benchmarking Suite for Kernel Tuners by Torring, Jacob O., van Werkhoven, Ben, Petrovc, Filip, Willemsen, Floris-Jan, Filipovic, Jiri, Elster, Anne C.

“…As computing system become more complex combining CPUs and GPUs, it is becoming harder and harder for programmers to keep their codes optimized as the hardware…”
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Machine Learning Based Auto-Tuning for Enhanced OpenCL Performance Portability by Falch, Thomas L., Elster, Anne C.

“…Heterogeneous computing, which combines devices with different architectures, is rising in popularity, and promises increased performance combined with reduced…”
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Lightning Talks of EduHPC 2019 by Monroe, William, Tripathi, Ravi, Bhowmik, Ujjal, Chen, Yuting, Choi, Dong San, Cheng, Zuofu, Andino, Gladys K., Pascuzzi, Pete E., Ward, Mark D., Witt, Michael, Pantoja, Maria, Lupo, Chris, Elster, Anne C., Adams, Joel C., Wissink, Mark C., Liu, Hang, Liao, Chunhua, Yehezkael, Raphael B., Glick, Ben, Smith, Brian, Mache, Jens, Estrada, Trilce, Deb, Debzani

“…Lightning talks of EduHPC are a venue where HPC educators discuss work in progress. In this paper we summarize nine diverse lightning talks, divided in three…”
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Plenary Talk 2 : Parallel Computing and AI: Impact and Opportunities by Elster, Anne C.

“…Summary form only given, as follows. The complete presentation was not made available for publication as part of the conference proceedings. Parallel Computing…”
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