Runtime Data Management on Non-Volatile Memory-based Heterogeneous Memory for Task-Parallel Programs

2018 ◽  
Author(s):  
Kai Wu ◽  
Jie Ren ◽  
Dong Li
Keyword(s):  
Data Management ◽  
Parallel Programs ◽  
Task Parallel ◽  
Non Volatile Memory ◽  
Volatile Memory

Data Management on Non-Volatile Memory: A Perspective

2018 ◽  
Vol 18 (3) ◽  
pp. 171-182 ◽  
Author(s):  
Philipp Götze ◽  
Alexander van Renen ◽  
Lucas Lersch ◽  
Viktor Leis ◽  
Ismail Oukid
Keyword(s):  
Data Management ◽  
Non Volatile Memory ◽  
Volatile Memory

scholarly journals Real-Time Analytics, Hybrid Transactional/Analytical Processing, In-Memory Data Management, and Non-Volatile Memory

2021 ◽  
Vol 33 (3) ◽  
pp. 171-198
Author(s):  
Sergey Dmitrievich Kuznetsov ◽  
Pavel Evgenievich Velikhov ◽  
Qiang Fu
Keyword(s):  
Data Management ◽  
Real Time ◽  
Concurrency Control ◽  
Just In Time ◽  
Non Volatile Memory ◽  
Analytical Processing ◽  
Volatile Memory ◽  
The One ◽  
New Generation ◽  
Operational Data

These days, real-time analytics is one of the most often used notions in the world of databases. Broadly, this term means very fast analytics over very fresh data. Usually the term comes together with other popular terms, hybrid transactional/analytical processing (HTAP) and in-memory data processing. The reason is that the simplest way to provide fresh operational data for analysis is to combine in one system both transactional and analytical processing. The most effective way to provide fast transactional and analytical processing is to store an entire database in memory. So on the one hand, these three terms are related but on the other hand, each of them has its own right to life. In this paper, we provide an overview of several in-memory data management systems that are not HTAP systems. Some of them are purely transactional, some are purely analytical, and some support real-time analytics. Then we overview nine in-memory HTAP DBMSs, some of which don't support real-time analytics. Existing real-time in-memory HTAP DBMSs have very diverse and interesting architectures although they use a number of common approaches: multiversion concurrency control, multicore parallelization, advanced query optimization, just in time compilation, etc. Additionally, we are interested whether these systems use non-volatile memory, and, if yes, in what manner. We conclude that an emergence of new generation of NVM will greatly stimulate its use in in-memory HTAP systems.

ECC-Based Bit-Write Reduction Code Generation for Non-Volatile Memory

2015 ◽  
Vol E98.A (12) ◽  
pp. 2494-2504 ◽  
Author(s):  
Masashi TAWADA ◽  
Shinji KIMURA ◽  
Masao YANAGISAWA ◽  
Nozomu TOGAWA
Keyword(s):  
Code Generation ◽  
Non Volatile Memory ◽  
Volatile Memory

Integrated low-temperature process for the fabrication of amorphous Si nanoparticles embedded in Al2 O3 for non-volatile memory application

2016 ◽  
Vol 213 (9) ◽  
pp. 2446-2451 ◽  
Author(s):  
Klemens Ilse ◽  
Thomas Schneider ◽  
Johannes Ziegler ◽  
Alexander Sprafke ◽  
Ralf B. Wehrspohn
Keyword(s):  
Low Temperature ◽  
Si Nanoparticles ◽  
Non Volatile Memory ◽  
Amorphous Si ◽  
Volatile Memory ◽  
Low Temperature Process

scholarly journals Secure Boot from Non-Volatile Memory for Programmable SoC Architectures

2020 ◽  
Author(s):  
Franz-Josef Streit ◽  
Florian Fritz ◽  
Andreas Becher ◽  
Stefan Wildermann ◽  
Stefan Werner ◽  
...  
Keyword(s):  
Non Volatile Memory ◽  
Volatile Memory

scholarly journals A Physical Unclonable Function Using a Configurable Tristate Hybrid Scheme With Non-Volatile Memory

2021 ◽  
Vol 2 ◽  
pp. 31-40
Author(s):  
Jiang Li ◽  
Yijun Cui ◽  
Chongyan Gu ◽  
Chenghua Wang ◽  
Weiqiang Liu ◽  
...  
Keyword(s):  
Physical Unclonable Function ◽  
Hybrid Scheme ◽  
Non Volatile Memory ◽  
Volatile Memory
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