TY  - GEN
N2  - This book serves as a single-source reference to the latest advances in Approximate Computing (AxC), a promising technique for increasing performance or reducing the cost and power consumption of a computing system. The authors discuss the different AxC design and validation techniques, and their integration. They also describe real AxC applications, spanning from mobile to high performance computing and also safety-critical applications. Provides a single-source reference to the state-of-the art of approximate computing (AxC); Presents a global picture of the approximate computing paradigm, at various levels of abstraction; Discusses real AxC applications, such as Approximate Computing for IoT, high performance computing and safety-critical applications.
DO  - 10.1007/978-3-030-94705-7
DO  - doi
AB  - This book serves as a single-source reference to the latest advances in Approximate Computing (AxC), a promising technique for increasing performance or reducing the cost and power consumption of a computing system. The authors discuss the different AxC design and validation techniques, and their integration. They also describe real AxC applications, spanning from mobile to high performance computing and also safety-critical applications. Provides a single-source reference to the state-of-the art of approximate computing (AxC); Presents a global picture of the approximate computing paradigm, at various levels of abstraction; Discusses real AxC applications, such as Approximate Computing for IoT, high performance computing and safety-critical applications.
T1  - Approximate computing techniques :from component- to application-level /
AU  - Bosio, Alberto,
AU  - Ménard, Daniel,
AU  - Sentieys, Olivier,
CN  - QA76
ID  - 1447494
KW  - Approximate computing.
SN  - 9783030947057
SN  - 303094705X
TI  - Approximate computing techniques :from component- to application-level /
LK  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-94705-7
UR  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-94705-7
ER  -