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In modern systems, DRAM-based main memory is significantly slower than the processor. Consequently, processors spend a long time waiting to access data from main memory, making the long main memory access latency one of the most critical…

Hardware Architecture · Computer Science 2016-11-01 Donghyuk Lee

Finding the best way to leverage non-volatile memory (NVM) on modern database systems is still an open problem. The answer is far from trivial since the clear boundary between memory and storage present in most systems seems to be…

Databases · Computer Science 2019-08-21 Lucas Lersch , Wolfgang Lehner , Ismail Oukid

The conventional von Neumann architecture has been revealed as a major performance and energy bottleneck for rising data-intensive applications. %, due to the intensive data movements. The decade-old idea of leveraging in-memory processing…

Hardware Architecture · Computer Science 2019-06-18 Bing Li , Bonan Yan , Hai , Li

Intel OptaneTM DC Persistent Memory resides on the memory bus and approaches DRAM in access latency. One avenue for its adoption is to employ it in place of persistent storage; another is to use it as a cheaper and denser extension of DRAM.…

Hardware Architecture · Computer Science 2022-05-30 Alexandra Fedorova , Keith Smith , Keith Bostic , Alexander Gorrod , Sue LoVerso , Michael Cahill

DRAM-based main memory and its associated components increasingly account for a significant portion of application performance bottlenecks and power budget demands inside the computing ecosystem. To alleviate the problems of storage density…

Cryptography and Security · Computer Science 2019-02-12 Fan Yao , Guru Venkataramani

Byte-addressable persistent memory (B-APM) presents a new opportunity to bridge the performance gap between main memory and storage. In this paper, we present the usage scenarios for this new technology, based on the capabilities of Intel's…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-12-14 Michele Weiland , Bernhard Homoelle

Open-access neuroimaging datasets have reached petabyte scale, and continue to grow. The ability to leverage the entirety of these datasets is limited to a restricted number of labs with both the capacity and infrastructure to process the…

Performance · Computer Science 2019-12-30 Valerie Hayot-Sasson , Shawn T Brown , Tristan Glatard

Repeated off-chip memory accesses to DRAM drive up operating power for data-intensive applications, and SRAM technology scaling and leakage power limits the efficiency of embedded memories. Future on-chip storage will need higher density…

Emerging Technologies · Computer Science 2022-01-13 Lillian Pentecost , Alexander Hankin , Marco Donato , Mark Hempstead , Gu-Yeon Wei , David Brooks

Memory system is often the main bottleneck in chipmultiprocessor (CMP) systems in terms of latency, bandwidth and efficiency, and recently additionally facing capacity and power problems in an era of big data. A lot of research works have…

Hardware Architecture · Computer Science 2014-04-10 Licheng Chen , Tianyue Lu , Yanan Wang , Mingyu Chen , Yuan Ruan , Zehan Cui , Yongbing Huang , Mingyang Chen , Jiutian Zhang , Yungang Bao

Both SRAM and DRAM have stopped scaling: there is no technical roadmap to reduce their cost (per byte/GB). As a result, memory now dominates system cost. This paper argues for a paradigm shift from today's simple memory hierarchy toward…

We can use a hybrid memory system consisting of DRAM and Intel Optane DC Persistent Memory (We call it DCPM in this paper) as DCPM is now commercially available since April 2019. Even if the latency for DCPM is several times higher than…

Performance · Computer Science 2020-08-31 Kazuichi Oe

As persistent memory (PM) technologies emerge, hybrid memory architectures combining DRAM with PM bring the potential to provide a tiered, byte-addressable main memory of unprecedented capacity. Nearly a decade after the first proposals for…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-12-24 Miguel Marques , Ilia Kuzmin , João Barreto , José Monteiro , Rodrigo Rodrigues

Non-volatile memory (NVM) has the potential to disrupt the boundary between memory and storage, including the abstractions that manage this boundary. Researchers comparing the speed, durability, and abstractions of hybrid systems with DRAM,…

Programming Languages · Computer Science 2018-08-02 Shoaib Akram , Jennifer B. Sartor , Kathryn S. McKinley , Lieven Eeckhout

Processing-in-memory (PIM) has emerged as a promising solution for accelerating memory-intensive workloads as they provide high memory bandwidth to the processing units. This approach has drawn attention not only from the academic community…

Hardware Architecture · Computer Science 2024-09-11 Dongjae Lee , Bongjoon Hyun , Taehun Kim , Minsoo Rhu

Non-Volatile Random Access Memory (NVRAM) is a novel type of hardware that combines the benefits of traditional persistent memory (persistency of data over hardware failures) and DRAM (fast random access). In this work, we describe an…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-05-26 Vitaly Aksenov , Ohad Ben-Baruch , Danny Hendler , Ilya Kokorin , Matan Rusanovsky

Traditionally, DBMSs separate their storage layer from their indexing layer. While the storage layer physically materializes the database and provides low-level access methods to it, the indexing layer on top enables a faster locating of…

Databases · Computer Science 2022-12-07 Felix Schuhknecht , Justus Henneberg

Main memories play an important role in overall energy consumption of embedded systems. Using conventional memory technologies in future designs in nanoscale era causes a drastic increase in leakage power consumption and temperature-related…

Hardware Architecture · Computer Science 2019-12-16 Salman Onsori , Arghavan Asad , Kaamran Raahemifar , Mahmood Fathy

Persistent Memory (PMEM), also known as Non-Volatile Memory (NVM), can deliver higher density and lower cost per bit when compared with DRAM. Its main drawback is that it is typically slower than DRAM. On the other hand, DRAM has…

Machine Learning · Computer Science 2022-11-07 Diego Moura , Vinicius Petrucci , Daniel Mosse

It has become increasingly difficult to understand the complex interaction between modern applications and main memory, composed of DRAM chips. Manufacturers are now selling and proposing many different types of DRAM, with each DRAM type…

Hardware Architecture · Computer Science 2019-10-21 Saugata Ghose , Tianshi Li , Nastaran Hajinazar , Damla Senol Cali , Onur Mutlu

Hardware accelerators have become a de-facto standard to achieve high performance on current supercomputers and there are indications that this trend will increase in the future. Modern accelerators feature high-bandwidth memory next to the…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-06-07 Ivy Bo Peng , Roberto Gioiosa , Gokcen Kestor , Erwin Laure , Stefano Markidis