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Hybrid Dataflow/von-Neumann Architectures

IEEE Transactions on Parallel and Distributed Systems, 2014
General purpose hybrid dataflow/von-Neumann architectures are gaining attraction as effective parallel platforms. Although different implementations differ in the way they merge the conceptually different computational models, they all follow similar principles: they harness the parallelism and data synchronization inherent to the dataflow model, yet ...
Fahimeh Yazdanpanah   +3 more
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Computer architecture and John von Neumann principles

SCIENTIFIC WORK, 2021
The program is stored in the machine's memory from any external device. The control device organizes its execution, taking into account the program in memory. The mathematical-logical device performs mathematical and logical calculations in accordance with the entered commands. Thus, the computer performs calculations without human assistance.
Ramazan Əzizxan oğlu Eyyubov   +2 more
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Machine Learning Computers With Fractal von Neumann Architecture

IEEE Transactions on Computers, 2020
Machine learning techniques are pervasive tools for emerging commercial applications and many dedicated machine learning computers on different scales have been deployed in embedded devices, servers, and data centers. Currently, most machine learning computer architectures still focus on optimizing performance and energy efficiency instead of ...
Yongwei Zhao   +9 more
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Von Neumann Architecture

2018
John von Neumann gave his name to what has become known as the von Neumann architecture that is used in almost all computers. It includes a central processing unit which includes the control unit and the arithmetic unit, an input and output unit, and memory.
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Software Techniques for Non-Von Neumann Architectures

1990
Abstract : This report examines the use of non-sequential (Non-von Neumann) technology for the support of command and control applications. It has become apparent that the utilization of traditional von-Neumann computers is insufficient of many applications.
Ralph Duncan   +4 more
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Toward a dataflow/von Neumann hybrid architecture

[1988] The 15th Annual International Symposium on Computer Architecture. Conference Proceedings, 1988
Dataflow architectures offer the ability to trade program level parallelism in order to overcome machine level latency. Dataflow further offers a uniform synchronization paradigm, representing one end of a spectrum wherein the unit of scheduling is a single instruction. At the opposite extreme are the von Neumann architectures which schedule on a task,
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Limitations of Von Neumann Architecture

2018
As part of its strategic goals for technological development, the Russian Federation aims to create ultrahigh productivity supercomputer technologies or exascale computing by 2025. To this end, it is necessary to effectively develop domestic production of highly productive and trusted computer aids; to overcome physical limitations relating to energy ...
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Reconfigurable computing - evolution of Von Neumann architecture

2010 International Conference on Field-Programmable Technology, 2010
With the rapid progress of semiconductor technology, billions transistors can be integrated on a single silicon chip. However, increasing power consumption, complicated system function and huge investment will slow down the development of process technology and impact the integrated circuit products.
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Von-Neumann and Beyond: Memristor Architectures

2017
An extensive reliance on technology, an abundance of data, and increasing processing requirements have imposed severe challenges on computing and data processing. Moreover, the roadmap for scaling electronic components faces physical and reliability limits that hinder the utilization of the transistors in conventional systems and promotes the need for ...
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An APL-simulator of non-Von Neumann computer architectures

ACM SIGAPL APL Quote Quad, 1990
APL has a long tradition as a language for the notation of computer architectures that dates back to its use as notation of the IBM 360 system. Its powerful primitives and compactness make it an ideal tool for simulating hardware functions in order to gain insights into the functionality, the performance and the programming issues of an algorithm ...
Andreas Geyer-Schulz   +2 more
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