An Overview of In-memory Processing with Emerging Non-volatile Memory for Data-intensive Applications

<div>Data movement between processing and memory is</div><div>the root cause of the limited performance and energy</div><div>efficiency in modern von Neumann systems. To</div><div>overcome the data-movement bottleneck, we present</div><div>the memristive Memory Processing Unit (mMPU)—a</div><div>real processing-in-memory system in which the computation is done directly in the</div><div>memory cells, thus eliminating the necessity for data transfer. Furthermore, with its</div><div>enormous inner parallelism, this system is ideal for data-intensive applications that are</div><div>based on single instruction, multiple data (SIMD)—providing high throughput and</div><div>energy-efficiency.</div>

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Not in Name Alone: A Memristive Memory Processing Unit for Real In-Memory Processing

10.36227/techrxiv.12894941 ◽

2020 ◽

Author(s):

Ameer Haj-Ali ◽

Nimrod Wald ◽

Ronny Ronen ◽

Shahar Kvatinsky ◽

Rotem Ben-Hur

Keyword(s):

Data Transfer ◽

Single Instruction Multiple Data ◽

Processing Unit ◽

Von Neumann ◽

Data Movement ◽

Memory Processing ◽

Data Intensive ◽

Root Cause ◽

Multiple Data ◽

Data Intensive Applications

<div>Data movement between processing and memory is</div><div>the root cause of the limited performance and energy</div><div>efficiency in modern von Neumann systems. To</div><div>overcome the data-movement bottleneck, we present</div><div>the memristive Memory Processing Unit (mMPU)—a</div><div>real processing-in-memory system in which the computation is done directly in the</div><div>memory cells, thus eliminating the necessity for data transfer. Furthermore, with its</div><div>enormous inner parallelism, this system is ideal for data-intensive applications that are</div><div>based on single instruction, multiple data (SIMD)—providing high throughput and</div><div>energy-efficiency.</div>

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Near Volatile and Non-Volatile Memory Processing in 3D Systems

IEEE Transactions on Emerging Topics in Computing ◽

10.1109/tetc.2021.3115495 ◽

2021 ◽

pp. 1-1

Author(s):

Maryam S.Hosseini ◽

Masoumeh Ebrahimi ◽

Pooria Yaghini ◽

Nader Bagherzadeh

Keyword(s):

Memory Processing ◽

Non Volatile Memory ◽

Volatile Memory

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Database Techniques for New Hardware

Advances in Computer and Electrical Engineering - Advanced Methodologies and Technologies in Network Architecture, Mobile Computing, and Data Analytics ◽

10.4018/978-1-5225-7598-6.ch040 ◽

2019 ◽

pp. 546-562

Author(s):

Xiongpai Qin ◽

Yueguo Chen

Keyword(s):

Database Systems ◽

Memory Capacity ◽

Research Community ◽

Main Memory ◽

Computer Hardware ◽

Data Intensive ◽

Database Research ◽

Non Volatile Memory ◽

Volatile Memory

In the last decade, computer hardware progressed by leaps and bounds. The advancements of hardware include the application of multi-core CPUs, use of GPUs in data intensive tasks, bigger and bigger main memory capacity, maturity and production use of non-volatile memory, etc. Database systems immediately benefit from faster CPU/GPU and bigger memory and run faster. However, there are some pitfalls. For example, database systems running on multi-core processors may suffer from cache conflicts when the number of concurrently executing DB processes increases. To fully exploit advantages of new hardware to improve the performance of database systems, database software should be more or less revised. This chapter introduces some efforts of database research community in this aspect.

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Database Techniques for New Hardware

Encyclopedia of Information Science and Technology, Fourth Edition ◽

10.4018/978-1-5225-2255-3.ch169 ◽

2018 ◽

pp. 1947-1961

Author(s):

Xiongpai Qin ◽

Yueguo Chen

Keyword(s):

Database Systems ◽

Memory Capacity ◽

Research Community ◽

Main Memory ◽

Computer Hardware ◽

Data Intensive ◽

Database Research ◽

Non Volatile Memory ◽

Volatile Memory

In the last decade, computer hardware progresses with leaps and bounds. The advancements of hardware include: widely application of multi-core CPUs, using of GPUs in data intensive tasks, bigger and bigger main memory capacity, maturity and production use of non-volatile memory etc. Database systems immediately benefit from faster CPU/GPU and bigger memory, and run faster. However, there are some pitfalls. For example, database systems running on multi-core processors may suffer from cache conflicts when the number of concurrently executing DB processes increases. To fully exploit advantages of new hardware to improve the performance of database systems, database software should be more or less revised. This chapter introduces some efforts of database research community in this aspect.

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