| 000 | 00000cam u2200205 a 4500 | |
| 001 | 000046063337 | |
| 005 | 20210112144444 | |
| 008 | 210111s2020 enka b 001 0 eng d | |
| 020 | ▼a 9783030372231 | |
| 035 | ▼a (KERIS)BIB000015620149 | |
| 040 | ▼a 224011 ▼c 224011 ▼d 211009 | |
| 050 | 4 | ▼a QA76 |
| 082 | 0 4 | ▼a 004 ▼2 23 |
| 084 | ▼a 004 ▼2 DDCK | |
| 090 | ▼a 004 ▼b M697n | |
| 100 | 1 | ▼a Mohamed, Khaled Salah. |
| 245 | 1 0 | ▼a Neuromorphic computing and beyond : ▼b parallel, approximation, near memory, and quantum / ▼c Khaled Salah Mohamed. |
| 260 | ▼a Cham : ▼b Springer, ▼c 2020. | |
| 300 | ▼a xiv, 233 p. : ▼b ill. (some col.) ; ▼c 25 cm. | |
| 504 | ▼a Includes bibliographical references(p.227-233) and index. | |
| 520 | ▼a 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. | |
| 650 | 0 | ▼a Artificial intelligence. |
| 650 | 0 | ▼a Computer science. |
| 945 | ▼a KLPA |
소장정보
| No. | 소장처 | 청구기호 | 등록번호 | 도서상태 | 반납예정일 | 예약 | 서비스 |
|---|---|---|---|---|---|---|---|
| No. 1 | 소장처 과학도서관/Sci-Info(2층서고)/ | 청구기호 004 M697n | 등록번호 121256077 | 도서상태 대출가능 | 반납예정일 | 예약 | 서비스 |
컨텐츠정보
저자소개
Khaled Salah Mohamed(지은이)
목차
1. An Introduction: New Trends in Computing2. Numerical Computing3. Parallel Computing: OpenMP, MPI, and CUDA4. Deep Learning and Cognitive computing: Pillars and Ladders5. Approximate Computing: Towards Ultra Low Power Systems Design6. Near-Memory/In-Memory Computing: Pillars and Ladders7. Quantum Computing and DNA Computing: Beyond Conventional Approaches8. Cloud, Fog and Edge Computing9. Reconfigurable and Heterogeneous Computing10. ConclusionIndex