Field-Programmable Custom Computing Technology: Architectures, Tools, and Applications, Softcover reprint of the original 1st ed. 2000

Coordinators: Arnold Jeffrey, Luk Wayne, Pocek Ken

Language: English

Approximative price 105.49 €

In Print (Delivery period: 15 days).

Add to cartAdd to cart
Field-Programmable Custom Computing Technology: Architectures, Tools, and Applications
Publication date:
136 p. · 19.5x26 cm · Paperback

Approximative price 105.49 €

Subject to availability at the publisher.

Add to cartAdd to cart
Field-Programmable Custom Computing Technology: Architectures, Tools, and Applications
Publication date:
136 p. · 20.3x25.4 cm · Hardback
Field-Programmable Custom Computing Technology: Architectures,Tools, and Applications brings together in one place important contributions and up-to-date research results in this fast-moving area. In seven selected chapters, the book describes the latest advances in architectures, design methods, and applications of field-programmable devices for high-performance reconfigurable systems.
The contributors to this work were selected from the leading researchers and practitioners in the field. It will be valuable to anyone working or researching in the field of custom computing technology. It serves as an excellent reference, providing insight into some of the most challenging issues being examined today.
Guest Editor's Introduction; J. Arnold, et al. Pipeline Reconfigurable FPGAs; H.H. Schmit, et al. Design and Implementation of the MorphoSys Reconfigurable Computing Processor; M.-H. Lee, et al. Co-Synthesis to a Hybrid RISC/FPGA Architecture; M.B. Gokhale, et al. Design-Space Exploration for Block-Processing Based Temporal Partitioning of Runtime Reconfigurable Systems; M. Kaul, R. Vemuri. Application of Reconfigurable CORDIC Architectures; O. Mencer, et al. A Configurable Logic Based Architecture for Real-Time Continuous Speech Recognition Using Hidden Markov Models; P. Stogiannos, et al. The CAM-Brain Machine (CBM): Real Time Evolution and Update of a 75 Million Neuron FPGA-Based Artificial Brain; H. de Garis, M. Korkin.