Results 11 to 20 of about 27,095 (213)
Integrating Task and Data Parallelism [PDF]
, 1993 Many models of concurrency and concurrent programming have been proposed; most can be categorized as either task-parallel (based on functional decomposition) or data-parallel (based on data decomposition).
Massingill, Berna Linda
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Data-parallel polygonization [PDF]
Parallel Computing, 2003 Data-parallel algorithms are presented for polygonizing a collection of line segments represented by a data-parallel bucket PMR quadtree, a data-parallel R-tree, and a data-parallel R+-tree. Such an operation is useful in a geographic information system (GIS).
Erik G. Hoel, Hanan Samet
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Parallel Optimization Method of Unstructured-grid Computing in CFD for DomesticHeterogeneous Many-core Architecture [PDF]
Jisuanji kexue, 2022 Sunway TaihuLight ranked first in the global supercomputer top 500 list 2016－2018 with a peak performance of 125.4 PFlops.Its computing power is mainly attributed to the domestic SW26010 many-core RISC processor.CFD unstructured-grid computing has always
CHEN Xin, LI Fang, DING Hai-xin, SUN Wei-ze, LIU Xin, CHEN De-xun, YE Yue-jin, HE Xiang
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Harnessing the Multicores: Nested Data Parallelism in Haskell [PDF]
, 2008 If you want to program a parallel computer, a purely functional language like Haskell is a promising starting point. Since the language is pure, it is by-default safe for parallel evaluation, whereas imperative languages are by-default unsafe.
Peyton Jones, Simon +3 more
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Safe data parallelism for general streaming [PDF]
, 2015 Streaming applications process possibly infinite streams of data and often have both high throughput and low latency requirements. They are comprised of operator graphs that produce and consume data tuples.
Schneider S. +3 more
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ISPRS International Journal of Geo-Information, 2017 Parallel processing in the real-time visualization of three-dimensional Geographic Information Systems (3DGIS) has tended to concentrate on algorithm levels in recent years, and most of the existing methods employ multiple threads in a Central Processing
Dongbo Zhou +4 more
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Novel VLSI Architectures and Micro-Cell Libraries for Subscalar Computations
IEEE Access, 2022 Parallelism is the key to enhancing the throughput of computing structures. However, it is well established that the presence of data-flow dependencies adversely impacts the exploitation of such parallelism. This paper presents a case for a new computing
Kumar Sambhav Pandey, Hitesh Shrimali
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Optimistic Data Parallelism for FPGA-Accelerated Sketching [PDF]
, 2023 Sketches are a popular approximation technique for large datasets and high-velocity data streams. While custom FPGA-based hardware has shown admirable throughput at sketching, the state-of-the-art exploits data parallelism by fully replicating resources ...
Zacharatou, Eleni Tzirita; id_orcid +3 more
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Towards accelerating model parallelism in distributed deep learning systems.
PLoS ONE, 2023 Modern deep neural networks cannot be often trained on a single GPU due to large model size and large data size. Model parallelism splits a model for multiple GPUs, but making it scalable and seamless is challenging due to different information sharing ...
Hyeonseong Choi +3 more
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Symmetries in data parallelism [PDF]
The Computer Journal, 1995 A comprehensive formalization of data-parallel (DP) symmetries in an imperative language paradigm without nesting is presented, which includes translational, affine and access symmetries. A subtyping system which takes these symmetries into account is discussed.
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