Ditemukan 4 dokumen yang sesuai dengan query
Chandrasekharan, Arun
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This book describes reliable and efficient design automation techniques for the design and implementation of an approximate computing system. The authors address the important facets of approximate computing hardware design - from formal verification and error guarantees to synthesis and test of approximation systems. They provide algorithms and methodologies based on classical formal verification, synthesis and test techniques for an approximate computing IC design flow. This is one of the first books in Approximate ...
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Switzerland: Springer Cham, 2019
e20502847
eBooks Universitas Indonesia Library
Sihombing, Edro Matthew Andreas
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Di era modern yang dipenuhi dengan aplikasi-aplikasi berbasis data dan komputasi yang intensif sumber daya, Komputasi approximatif telah muncul sebagai pendekatan menjanjikan untuk menyeimbangkan antara akurasi dan efisiensi komputasi. Field Programmable Gate Arrays (FPGAs) menawarkan platform yang fleksibel untuk mengimplementasikan teknik tersebut, dan menjadikannya ideal untuk mengeksplorasi dampak komputasi approximatif dalam perangkat keras. Proyek ini mendalami penerapan teknik komputasi approximatif pada FPGA dalam konteks komputasi neuromorfik, dengan fokus pada implementasi spiking Izhikevich neuron model, model ...
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Depok: Fakultas Teknik Universitas Indonesia, 2024
S-pdf
UI - Skripsi Membership Universitas Indonesia Library
Moons, Bert
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This book covers algorithmic and hardware implementation techniques to enable embedded deep learning. The authors describe synergetic design approaches on the application, algorithmic, computer architecture, and circuit-level that will help in achieving the goal of reducing the computational cost of deep learning algorithms. The impact of these techniques is displayed in four silicon prototypes for embedded deep learning.
Gives a wide overview of a series of effective solutions for energy efficient neural networks on battery constrained ...
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Switzerland: Springer Nature, 2019
e20508149
eBooks Universitas Indonesia Library
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This book covers the history and recent developments of stochastic computing. Stochastic computing (SC) was first introduced in the 1960s for logic circuit design, but its origin can be traced back to von Neumanns work on probabilistic logic. In SC, real numbers are encoded by random binary bit streams, and information is carried on the statistics of the binary streams. SC offers advantages such as hardware simplicity and fault tolerance. Its promise in data processing ...
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Switzerland: Springer Nature, 2019
e20509735
eBooks Universitas Indonesia Library
