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Public Interest in an AI-Enabled Clinical Decision Support Tool.
JAMA Netw OpenPatel VR, Liu M, Jena AB.
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Parallelism-Optimizing Data Placement for Faster Data-Parallel Computations
Proceedings of the VLDB Endowment, 2022Systems performing large data-parallel computations, including online analytical processing (OLAP) systems like Druid and search engines like Elasticsearch, are increasingly being used for business-critical real-time applications where providing low query latency is paramount.
Nirvik Baruah +4 more
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Parallel DEPSO-Scout: Data Parallelism
2018 International Electrical Engineering Congress (iEECON), 2018DEPSO-Scout is a hybrid optimization algorithm combining Differential Evolution (DE), Particle Swarm Optimization (PSO) and Artificial Bee Colony (ABC). The solution convergence is balanced between exploration of PSO and exploitation from DE. The suboptimal solution has reduced by the scout bee property of ABC.
Prasitchai Boonserm +1 more
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Data-Parallel Sparse Factorization
SIAM Journal on Scientific Computing, 1998The data-parallel implementation of the multifrontal algorithm for the LU factorization, without pivoting, of matrices having symmetric structure and nonsymmetric coefficients is considered. A simple yet efficient and scalable implementation of the multifrontal sparse LU factorization is presented.
Conroy, John M. +3 more
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Data-parallel, volumerendering algorithms
The Visual Computer, 1995In this presentation, we consider the image-composition scheme for parallel volume rendering in which each processor is assigned a portion of the volume. A processor renders its data by using any existing volume-rendering algorithm. We describe one such parallel algorithm that also takes advantage of vector-processing capabilities. The resulting images
Roni Yagel, Raghu Machiraju
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Parallel functional programming on recursively defined data via data-parallel recursion
Journal of Functional Programming, 1999This article proposes a new language mechanism for data-parallel processing of dynamically allocated recursively defined data. Different from the conventional array-based data- parallelism, it allows parallel processing of general recursively defined data such as lists or trees in a functional way.
Nishimura, Susumu, Ohori, Atsushi
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Proceedings of the International Workshop on OpenCL, 2020
SYCL™ is a heterogeneous programming framework built on top of modern C++. Data Parallel C++, recently introduced as part of Intel's oneAPI project, is an implementation of SYCL. Data Parallel C++ (DPC++) is being developed as an open-source project on top of Clang and LLVM.
Ben Ashbaugh +7 more
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SYCL™ is a heterogeneous programming framework built on top of modern C++. Data Parallel C++, recently introduced as part of Intel's oneAPI project, is an implementation of SYCL. Data Parallel C++ (DPC++) is being developed as an open-source project on top of Clang and LLVM.
Ben Ashbaugh +7 more
openaire +1 more source