| 000 | 04718nam a22005535i 4500 | ||
|---|---|---|---|
| 001 | 978-3-319-54840-1 | ||
| 003 | DE-He213 | ||
| 005 | 20220801222320.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 170420s2017 sz | s |||| 0|eng d | ||
| 020 |
_a9783319548401 _9978-3-319-54840-1 |
||
| 024 | 7 |
_a10.1007/978-3-319-54840-1 _2doi |
|
| 050 | 4 | _aTK7867-7867.5 | |
| 072 | 7 |
_aTJFC _2bicssc |
|
| 072 | 7 |
_aTEC008010 _2bisacsh |
|
| 072 | 7 |
_aTJFC _2thema |
|
| 082 | 0 | 4 |
_a621.3815 _223 |
| 245 | 1 | 0 |
_aEmerging Technology and Architecture for Big-data Analytics _h[electronic resource] / _cedited by Anupam Chattopadhyay, Chip Hong Chang, Hao Yu. |
| 250 | _a1st ed. 2017. | ||
| 264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2017. |
|
| 300 |
_aXI, 330 p. 162 illus., 98 illus. in color. _bonline resource. |
||
| 336 |
_atext _btxt _2rdacontent |
||
| 337 |
_acomputer _bc _2rdamedia |
||
| 338 |
_aonline resource _bcr _2rdacarrier |
||
| 347 |
_atext file _bPDF _2rda |
||
| 505 | 0 | _aPart I State-of-the-Art Architectures and Automation for Data-analytics -- Chapter 1. Scaling the Java Virtual Machine on a Many-core System -- Chapter 2.Scaling the Java Virtual Machine on a Many-core System -- Chapter 3.Least-squares based Machine Learning Accelerator for Big-data Analytics in Smart Buildings -- Chapter 4.Compute-in-memory Architecture for Data-Intensive Kernels -- Chapter 5. New Solutions for Cross-Layer System-Level and High-Level Synthesis -- Part II New Solutions for Cross-Layer System-Level and High-Level Synthesis -- Chapter 6.Side Channel Attacks and Efficient Countermeasures on Residue Number System Multipliers -- Chapter 7. Ultra-Low-Power Biomedical Circuit Design and Optimization: Catching The Don’t Cares -- Chapter 8.Acceleration of MapReduce Framework on a Multicore Processor -- Chapter 9. Adaptive dynamic range compression for improving envelope-based speech perception: Implications for cochlear implants -- Part III Emerging Technology, Circuits and Systems for Data-analytics -- Chapter 10. Emerging Technology, Circuits and Systems for Data-analytics -- Chapter 11. Energy Efficient Spiking Neural Network Design with RRAM Devices -- Chapter 12. Efficient Neuromorphic Systems and Emerging Technologies - Prospects and Perspectives -- Chapter 13. In-memory Data Compression Using ReRAMs -- Chapter 14. In-memory Data Compression Using ReRAMs -- Chapter 15.Data Analytics in Quantum Paradigm – An Introduction. | |
| 520 | _aThis book describes the current state of the art in big-data analytics, from a technology and hardware architecture perspective. The presentation is designed to be accessible to a broad audience, with general knowledge of hardware design and some interest in big-data analytics. Coverage includes emerging technology and devices for data-analytics, circuit design for data-analytics, and architecture and algorithms to support data-analytics. Readers will benefit from the realistic context used by the authors, which demonstrates what works, what doesn’t work, and what are the fundamental problems, solutions, upcoming challenges and opportunities. Provides a single-source reference to hardware architectures for big-data analytics; Covers various levels of big-data analytics hardware design abstraction and flow, from device, to circuits and systems; Demonstrates how non-volatile memory (NVM) based hardware platforms can be a viable solution to existing challenges in hardware architecture for big-data analytics. | ||
| 650 | 0 |
_aElectronic circuits. _919581 |
|
| 650 | 0 |
_aMicroprocessors. _960831 |
|
| 650 | 0 |
_aComputer architecture. _93513 |
|
| 650 | 0 |
_aQuantitative research. _94633 |
|
| 650 | 1 | 4 |
_aElectronic Circuits and Systems. _960832 |
| 650 | 2 | 4 |
_aProcessor Architectures. _960833 |
| 650 | 2 | 4 |
_aData Analysis and Big Data. _960834 |
| 700 | 1 |
_aChattopadhyay, Anupam. _eeditor. _0(orcid)0000-0002-8818-6983 _1https://orcid.org/0000-0002-8818-6983 _4edt _4http://id.loc.gov/vocabulary/relators/edt _960835 |
|
| 700 | 1 |
_aChang, Chip Hong. _eeditor. _0(orcid)0000-0002-8897-6176 _1https://orcid.org/0000-0002-8897-6176 _4edt _4http://id.loc.gov/vocabulary/relators/edt _960836 |
|
| 700 | 1 |
_aYu, Hao. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _960837 |
|
| 710 | 2 |
_aSpringerLink (Online service) _960838 |
|
| 773 | 0 | _tSpringer Nature eBook | |
| 776 | 0 | 8 |
_iPrinted edition: _z9783319548395 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783319548418 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783319854977 |
| 856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-319-54840-1 |
| 912 | _aZDB-2-ENG | ||
| 912 | _aZDB-2-SXE | ||
| 942 | _cEBK | ||
| 999 |
_c80633 _d80633 |
||