Zobacz książki o podobnej tematyce

Powiadomienie o dostępności

Więcej informacji o Using Machine-Learning to Efficiently Explore the Architecture/Compiler Co-Design Space

• Dane szczegółowe
• Opis
• Ulubione w innej kategorii

Opis

Designing new microprocessors is a time consuming task. Architects rely on slow simulators to evaluate performance and a significant proportion of the design space has to be explored before an implementation is chosen. This process becomes more time consuming when compiler optimisations are also considered. Once the architecture is selected, a new compiler must be developed and tuned. What is needed are techniques that can speedup this whole process and develop a new optimising compiler automatically. This thesis proposes the use of machine-learning techniques to address architecture/compiler co-design.

Szczegóły książki

Kategoria Książki po angielsku Computing & information technology Computer programming / software development Extreme programming

• Pełny tytuł: Using Machine-Learning to Efficiently Explore the Architecture/Compiler Co-Design Space
• Autor: Christophe Dubach
• Język: Angielski
• Oprawa: Miękka
• Liczba stron: 166
• EAN: 9781906124663
• ISBN: 1906124663
• ID: 05026509
• Wydawca: BCS, The Chartered Institute for IT
• Waga: 415 g
• Wymiary: 297 × 210 × 9 mm
• Data wydania: 01. March 2010

Ulubione w innej kategorii

---

---

---