• Corpus ID: 238259017

A Survey of Selected Algorithms Used in Military Applications from the Viewpoints of Dataflow and GaAs

@article{apuni2021ASO,
  title={A Survey of Selected Algorithms Used in Military Applications from the Viewpoints of Dataflow and GaAs},
  author={Ilir Çapuni and Veljko M. Milutinovic},
  journal={ArXiv},
  year={2021},
  volume={abs/2110.01389}
}
This is a short survey of ten algorithms that are often used for military purposes, followed by analysis of their potential suitability for dataflow and GaAs, which are a specific architecture and technology for supercomputers on a chip, respectively. Whenever an algorithm or a device is used in military settings, it is natural to assume strict requirements related to speed, reliability, scale, energy, size, and accuracy. The two aforementioned paradigms seem to be promising in fulfilling most of… 
1 Citations
A Survey of Some Important Algorithms Used in Military Applications
This is a short survey of ten algorithms that are often used for military purposes, followed by analysis of their potential suitability for dataflow and GaAs, which are a specific architecture and

References

SHOWING 1-10 OF 22 REFERENCES
A GaAs-Based Microprocessor Architecture for Real-Time Applications
TLDR
The basic relationships among microprocessor architecture, GaAs technology, and real-time applications are underline, and an analytical execution-time model of the reduced vertical-migration architecture is developed.
A DCFL E/D-MESFET GaAs Experimental RISC Machine
TLDR
The design of RCA's 32-bit GaAs microprocessor and the details of the instruction set architecture and the instruction execution sequence are described.
An Introduction to GaAs Microprocessor Architecture for VLSI
TLDR
Gallium arsenide, or GaAs, technology has recently shown rapid increases in maturity and is seen to have applications in computer design within several computationally intensive areas, particularly in the military and aerospace markets.
Guide to DataFlow Supercomputing
TLDR
This unique text/reference describes an exciting and novel approach to supercomputing in the DataFlow paradigm, and introduces a new method for the rapid handling of real-world challenges involving large datasets.
The Ultimate DataFlow for Ultimate SuperComputers-on-a-Chip, for Scientific Computing, Geo Physics, Complex Mathematics, and Information Processing
This paper introduces a conceptual 100BillionTransistor (100BT) SuperComputers-on-a-Chip consisting of N big multi-core processors, 1000N small many-core processors, and two hardware accelerators -
A Modified KNN Algorithm for High-Performance Computing on FPGA of Real-Time m-QAM Demodulators
TLDR
A parallel implementation of a KNN algorithm focused on the m-QAM demodulators using high-level synthesis for fast prototyping, parameterization, and scalability of the design is presented.
Performance of AdaBoost classifier in recognition of superposed modulations for MIMO TWRC with physical-layer network coding
TLDR
An algorithm for recognition of sources modulations for MIMO TWRC with PLNC is proposed and simulation results show the ability of the proposed algorithm to provide a good recognition performance at acceptable signal-to-noise values.
Moving from petaflops to petadata
The race to build ever-faster supercomputers is on, with more contenders than ever before. However, the current goals set for this race may not lead to the fastest computation for particular
A Stochastic Program for Optimizing Military Sealift Subject to Attack
We describe a stochastic program for planning the wartime, sealift deployment of military cargo subject to attack. The cargo moves on ships from US or allied seaports of embarkation through seaports
Two-stage Stochastic Optimization for the Allocation of Medical Assets in Steady-state Combat Operations
In this study we describe a stochastic optimization model for the relocation of deployable military hospitals, the reallocation of hospital beds, and the emplacement of tactical medical evacuation
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