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Transform Blockchain into Distributed Parallel Computing Architecture for Precision Medicine
IEEE International Conference on Distributed Computing Systems, 2018This paper provides a vision and proposes mechanisms to transform the blockchain duplicated computing into distributed parallel computing architecture by transforming smart contract which features data driven from the ground up to support moving ...
J. Tsai
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Parallelism in Seismic Computing
Surveys in Geophysics, 1989This paper describes a vectorized and parallelized implementation of a two-dimensional pseudo-spectral seismic elastic model and of a (frequency-domain) seismic migration algorithm on the (tightly-coupled) vector multiprocessor IBM 3090 VF. Performance data of alternative parallel implementations on an LCAP (loosely coupled system of array processors ...
P. Sguazzero, Manuel Kindelan, A. Kamel
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Nature, 1983
The functional abilities and parallel architecture of the human visual system are a rich source of ideas about visual processing. Any visual task that we can perform quickly and effortlessly is likely to have a computational solution using a parallel algorithm. Recently, several such parallel algorithms have been found that exploit information implicit
Dana H. Ballard +2 more
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The functional abilities and parallel architecture of the human visual system are a rich source of ideas about visual processing. Any visual task that we can perform quickly and effortlessly is likely to have a computational solution using a parallel algorithm. Recently, several such parallel algorithms have been found that exploit information implicit
Dana H. Ballard +2 more
openaire +3 more sources
IEEE Transactions on Services Computing, 2021
Today's large-scale parallel workflows are often processed on heterogeneous distributed computing platforms. From an economic perspective, computing resource providers should minimize the cost while offering high service quality.
Biao Hu, Zhengcai Cao, Mengchu Zhou
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Today's large-scale parallel workflows are often processed on heterogeneous distributed computing platforms. From an economic perspective, computing resource providers should minimize the cost while offering high service quality.
Biao Hu, Zhengcai Cao, Mengchu Zhou
semanticscholar +1 more source
parallel: A command for parallel computing
The Stata Journal: Promoting communications on statistics and Stata, 2019The parallel package allows parallel processing of tasks that are not interdependent. This allows all flavors of Stata to take advantage of multiprocessor machines. Even Stata/MP users can benefit because many community-contributed programs are not automatically parallelized but could be under our framework.
Brian Quistorff, George G. Vega Yon
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Parallel computational geometry [PDF]
Algorithmica, 1985 We present efficient parallel algorithms for several basic problems in computational geometry: convex hulls, Voronoi diagrams, detecting line segment intersections, triangulating simple polygons, minimizing a circumscribing triangle, and recursive data-structures for three-dimensional queries.
Leonidas J. Guibas +4 more
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IEEE International Solid-State Circuits Conference, 2020
Non-volatile memory (NVM) based computing-in-memory (CIM) shows significant advantages in handling deep learning tasks for artificial intelligence (AI) applications.
Qi Liu +14 more
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Non-volatile memory (NVM) based computing-in-memory (CIM) shows significant advantages in handling deep learning tasks for artificial intelligence (AI) applications.
Qi Liu +14 more
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Parallel Computer Architecture
2009The possibility for a parallel execution of computations strongly depends on the architecture of the execution platform. This chapter gives an overview of the general structure of parallel computers which determines how computations of a program can be mapped to the available resources, such that a parallel execution is obtained.
Gudula Rünger, Thomas Rauber
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Proceedings of the 11th annual international symposium on Computer architecture - ISCA '84, 1984
The Pringle is a 64 processor MIMD computer with a 64 M (8 bit) instructions per second execution rate. (Copies are running at Purdue and Washington.) The Pringle runs programs written for the Configurable, Highly Parallel (CHiP) Computer. That is, the Pringle executes the 64 separate instruction streams as well as the interconnection (phase) stream ...
Lawrence H. Snyder +3 more
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The Pringle is a 64 processor MIMD computer with a 64 M (8 bit) instructions per second execution rate. (Copies are running at Purdue and Washington.) The Pringle runs programs written for the Configurable, Highly Parallel (CHiP) Computer. That is, the Pringle executes the 64 separate instruction streams as well as the interconnection (phase) stream ...
Lawrence H. Snyder +3 more
openaire +2 more sources