Ditemukan 4 dokumen yang sesuai dengan query
Chandrasekharan, Arun, author
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...
Switzerland: Springer Cham, 2019
e20502847
eBooks Universitas Indonesia Library
Sihombing, Edro Matthew Andreas, author
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...
Depok: Fakultas Teknik Universitas Indonesia, 2024
S-pdf
UI - Skripsi Membership Universitas Indonesia Library
Moons, Bert, author
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...
Switzerland: Springer Nature, 2019
e20508149
eBooks Universitas Indonesia Library
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...
Switzerland: Springer Nature, 2019
e20509735
eBooks Universitas Indonesia Library
