Gianluca Palermo – författare

Visar alla böcker från författaren Gianluca Palermo. Handla med fri frakt och snabb leverans.

5 produkter

1. 

   Low Power Networks-on-Chip

   Av Cristina Silvano, Marcello Lajolo m. fl.

   Inbunden, 2010

   1532 kr

   Lägg i varukorg

   In recent years, both Networks-on-Chip, as an architectural solution for high-speed interconnect, and power consumption, as a key design constraint, have continued to gain interest in the design and research communities. This book offers a single-source reference to some of the most important …

2. 

   Low Power Networks-on-Chip

   Av Gianluca Palermo, Marcello Lajolo m. fl.

   E-bok, 2010

   1459 kr

   Lägg i varukorg

   In recent years, both Networks-on-Chip, as an architectural solution for high-speed interconnect, and power consumption, as a key design constraint, have continued to gain interest in the design and research communities. This book offers a single-source reference to some of the most important …

3. 

   Low Power Networks-on-Chip

   Av Cristina Silvano, Marcello Lajolo m. fl.

   Häftad, 2014

   1096 kr

   Lägg i varukorg

   In recent years, both Networks-on-Chip, as an architectural solution for high-speed interconnect, and power consumption, as a key design constraint, have continued to gain interest in the design and research communities. This book offers a single-source reference to some of the most important …

4. 

   Automatic Tuning of Compilers Using Machine Learning

   Av Amir H. Ashouri, Gianluca Palermo m. fl.

   Häftad, 2018

   568 kr

   Lägg i varukorg

   This book explores break-through approaches to tackling and mitigating the well-known problems of compiler optimization using design space exploration and machine learning techniques. It demonstrates that not all the optimization passes are suitable for use within an optimization sequence and that, …

5. 

   Automatic Tuning of Compilers Using Machine Learning

   Av Cristina Silvano, John Cavazos m. fl.

   E-bok, 2017

   739 kr

   Lägg i varukorg

   This book explores break-through approaches to tackling and mitigating the well-known problems of compiler optimization using design space exploration and machine learning techniques. It demonstrates that not all the optimization passes are suitable for use within an optimization sequence and that, …