1.

Record Nr.

UNISA990000779000203316

Autore

MELONCELLI, Achille

Titolo

Come scegliere la facoltà : corsi di laurea, attitudini e prospettive occupazionali, consigli e informazioni per la vita universitaria / Achille Meloncelli

Pubbl/distr/stampa

Rimini : Maggioli, 1989

ISBN

88-387-9505-3

Descrizione fisica

466 p. ; 22 cm + 1 tav. ripeg.

Collana

Guide e strumenti per l'Università ; 1

Disciplina

378

Soggetti

Università - Facoltà - Italia

Collocazione

378 MEL 2 (COLL HQB 1)

Lingua di pubblicazione

Italiano

Formato

Materiale a stampa

Livello bibliografico

Monografia



2.

Record Nr.

UNINA9910373902503321

Autore

Mohamed Khaled Salah

Titolo

Neuromorphic Computing and Beyond : Parallel, Approximation, Near Memory, and Quantum / / by Khaled Salah Mohamed

Pubbl/distr/stampa

Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020

ISBN

3-030-37224-3

Edizione

[1st ed. 2020.]

Descrizione fisica

1 online resource (XIV, 233 p. 179 illus., 148 illus. in color.)

Disciplina

006.3

Soggetti

Electronic circuits

Cooperating objects (Computer systems)

Microprocessors

Computer architecture

Electronic Circuits and Systems

Cyber-Physical Systems

Processor Architectures

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di contenuto

An Introduction: New Trends in Computing -- Numerical Computing -- Parallel Computing: OpenMP, MPI, and CUDA -- Deep Learning and Cognitive computing: Pillars and Ladders -- Approximate Computing: Towards Ultra Low Power Systems Design -- Near-Memory/In-Memory Computing: Pillars and Ladders -- Quantum Computing and DNA Computing: Beyond Conventional Approaches -- Cloud, Fog and Edge Computing -- Reconfigurable and Heterogeneous Computing -- Conclusion -- Index.

Sommario/riassunto

This book discusses and compares several new trends that can be used to overcome Moore’s law limitations, including Neuromorphic, Approximate, Parallel, In Memory, and Quantum Computing. The author shows how these paradigms are used to enhance computing capability as developers face the practical and physical limitations of scaling, while the demand for computing power keeps increasing. The discussion includes a state-of-the-art overview and the essential details of each of these paradigms. Introduces in one volume all the



trends that can be used to overcome Moore’s law limitations; Describes in detail Neuromorphic, Approximate, Parallel, In Memory, and Quantum Computing concepts, in a manner accessible to a wide variety of readers; Compares tradeoffs between the various paradigms discussed.