Results 301 to 310 of about 4,923,689 (361)
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Horizons of parallel computation
Journal of Parallel and Distributed Computing, 1995This paper considers the ultimate impact of fundamental physical limitations—notably, speed of light and device size—on parallel computing machines. Although we fully expect an innovative and very gradual evolution to the limiting situation, we take here the provocative view of exploring the consequences of the accomplished attainment of the physical ...
Franco P. Preparata, Gianfranco Bilardi
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Massively parallel probabilistic computing with sparse Ising machines
Nature Electronics, 2021Solving computationally hard problems using conventional computing architectures is often slow and energetically inefficient. Quantum computing may help with these challenges, but it is still in the early stages of development.
Navid Anjum Aadit +6 more
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Parallel Computing of Support Vector Machines
ACM Computing Surveys, 2019The immense amount of data created by digitalization requires parallel computing for machine-learning methods. While there are many parallel implementations for support vector machines (SVMs), there is no clear suggestion for every application scenario ...
Shirin Tavara
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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
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Distributed Cloud Computing and Distributed Parallel Computing: A Review
2018 International Conference on Advanced Science and Engineering (ICOASE), 2018In this paper, we present a discussion panel of two of the hottest topics in this area namely distributed parallel processing and distributed cloud computing. Various aspects have been discussed in this review paper such as concentrating on whether these
Z. Rashid +3 more
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SIAM Journal on Computing, 1987
Fundamental discussion of fast parallel computation of a b mod m, for n- bit integers a,b,m, in time (log n)\({}^{O(1)}\), and of related questions, including arithmetic and boolean circuits, extension to polynomials.
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Fundamental discussion of fast parallel computation of a b mod m, for n- bit integers a,b,m, in time (log n)\({}^{O(1)}\), and of related questions, including arithmetic and boolean circuits, extension to polynomials.
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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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Scheduling Parallel Computations
Journal of the ACM, 1968A model for parallel computations is given as a directed graph in which nodes represent elementary operations, and branches, data channels. The problem considered is the determination of an admissible schedule for such a computation; i.e. for each node determine a sequence of times at which the node initiates its operation.
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Optical Computing, 2020
1. Assume we have the following task graph. A task can be thought of as function/procedure. Every task is labeled with its run time on a core. An arrow from a task to another means that the first task generates data needed by the second one.
Midterm Practice Problems
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1. Assume we have the following task graph. A task can be thought of as function/procedure. Every task is labeled with its run time on a core. An arrow from a task to another means that the first task generates data needed by the second one.
Midterm Practice Problems
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ACM SIGGRAPH 2008 classes, 2008
Users always care about performance. Although often it's just a matter of making sure the software is doing only what it should, there are many cases where it is vital to get down to the metal and leverage the fundamental characteristics of the processor.Until recently, performance improvement was not difficult.
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Users always care about performance. Although often it's just a matter of making sure the software is doing only what it should, there are many cases where it is vital to get down to the metal and leverage the fundamental characteristics of the processor.Until recently, performance improvement was not difficult.
openaire +1 more source