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With the emergence of Non-Volatile Memories (NVMs) and their shortcomings such as limited endurance and high power consumption in write requests, several studies have suggested hybrid memory architecture employing both Dynamic Random Access…

Operating Systems · Computer Science 2018-05-08 Reza Salkhordeh , Hossein Asadi

Non-volatile memory (NVM) is an emerging technology, which has the persistence characteristics of large capacity storage devices(e.g., HDDs and SSDs), while providing the low access latency and byte-addressablity of traditional DRAM memory.…

Databases · Computer Science 2020-05-18 Yinjun Wu , Kwanghyun Park , Rathijit Sen , Brian Kroth , Jaeyoung Do

The widespread integration of embedded systems across various industries has facilitated seamless connectivity among devices and bolstered computational capabilities. Despite their extensive applications, embedded systems encounter…

Cryptography and Security · Computer Science 2024-04-16 Sreenitha Kasarapu , Sathwika Bavikadi , Sai Manoj Pudukotai Dinakarrao

Fault-tolerant distributed applications require mechanisms to recover data lost via a process failure. On modern cluster systems it is typically impractical to request replacement resources after such a failure. Therefore, applications have…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-01-26 Lukas Hübner , Demian Hespe , Peter Sanders , Alexandros Stamatakis

Privacy-preserving computation techniques like homomorphic encryption (HE) and secure multi-party computation (SMPC) enhance data security by enabling processing on encrypted data. However, the significant computational and CPU-DRAM data…

Cryptography and Security · Computer Science 2024-09-26 Mpoki Mwaisela

Even with generational improvements in DRAM technology, memory access latency still remains the major bottleneck for application accelerators, primarily due to limitations in memory interface IPs which cannot fully account for variations in…

Hardware Architecture · Computer Science 2021-08-24 Sasindu Wijeratne , Sanket Pattnaik , Zhiyu Chen , Rajgopal Kannan , Viktor Prasanna

For the last thirty years, several Dynamic Memory Managers (DMMs) have been proposed. Such DMMs include first fit, best fit, segregated fit and buddy systems. Since the performance, memory usage and energy consumption of each DMM differs,…

Neural and Evolutionary Computing · Computer Science 2024-07-16 José L. Risco-Martín , David Atienza , J. Manuel Colmenar , Oscar Garnica

The advent of non-volatile memory (NVM) technologies like PCM, STT, memristors and Fe-RAM is believed to enhance the system performance by getting rid of the traditional memory hierarchy by reducing the gap between memory and storage. This…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-12-15 Ajay Singh , Marc Shapiro , Gael Thomas

Processing-in-memory (PIM) architectures have seen an increase in popularity recently, as the high internal bandwidth available within 3D-stacked memory provides greater incentive to move some computation into the logic layer of the memory.…

Reliability has emerged as a key topic of interest for researchers around the world to detect and/or mitigate the side effects of decreasing transistor sizes, such as soft errors. Traditional solutions, like DMR and TMR, incur significant…

Hardware Architecture · Computer Science 2019-10-22 Bharath Srinivas Prabakaran , Mihika Dave , Florian Kriebel , Semeen Rehman , Muhammad Shafique

This paper introduces OPTIMUM-DERAM, a highly consistent, scalable, secure, and decentralized shared memory solution. Traditional distributed shared memory implementations offer multi-object support by multi-threading a single object memory…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-01-21 Nicolas Nicolaou , Kishori M. Konwar , Moritz Grundei , Aleksandr Bezobchuk , Muriel Médard , Sriram Vishwanath

Large persistent memories such as NVDIMM have been perceived as a disruptive memory technology, because they can maintain the state of a system even after a power failure and allow the system to recover quickly. However, overheads incurred…

Hardware Architecture · Computer Science 2021-06-29 Jie Zhang , Miryeong Kwon , Donghyun Gouk , Sungjoon Koh , Nam Sung Kim , Mahmut Taylan Kandemir , Myoungsoo Jung

Is it always necessary to compute tokens from shallow to deep layers in Transformers? The continued success of vanilla Transformers and their variants suggests an undoubted "yes". In this work, however, we attempt to break the depth-ordered…

Computation and Language · Computer Science 2024-07-10 Zhuocheng Gong , Ang Lv , Jian Guan , Junxi Yan , Wei Wu , Huishuai Zhang , Minlie Huang , Dongyan Zhao , Rui Yan

Data analytics applications transform raw input data into analytics-specific data structures before performing analytics. Unfortunately, such data ingestion step is often more expensive than analytics. In addition, various types of NVRAM…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-03-02 Keita Iwabuchi , Karim Youssef , Kaushik Velusamy , Maya Gokhale , Roger Pearce

We propose a memory-model-aware static program analysis method for accurately analyzing the behavior of concurrent software running on processors with weak consistency models such as x86-TSO, SPARC-PSO, and SPARC-RMO. At the center of our…

Programming Languages · Computer Science 2017-09-29 Markus Kusano , Chao Wang

Poor DRAM technology scaling over the course of many years has caused DRAM-based main memory to increasingly become a larger system bottleneck. A major reason for the bottleneck is that data stored within DRAM must be moved across a…

Hardware Architecture · Computer Science 2018-02-02 Saugata Ghose , Kevin Hsieh , Amirali Boroumand , Rachata Ausavarungnirun , Onur Mutlu

We present SplitFS, a file system for persistent memory (PM) that reduces software overhead significantly compared to state-of-the-art PM file systems. SplitFS presents a novel split of responsibilities between a user-space library file…

Operating Systems · Computer Science 2019-09-24 Rohan Kadekodi , Se Kwon Lee , Sanidhya Kashyap , Taesoo Kim , Aasheesh Kolli , Vijay Chidambaram

Processing-using-DRAM (PUD) is a processing-in-memory (PIM) approach that uses a DRAM array's massive internal parallelism to execute very-wide data-parallel operations, in a single-instruction multiple-data (SIMD) fashion. However, DRAM…

Modern architectures provide weaker memory consistency guarantees than sequential consistency. These weaker guarantees allow programs to exhibit behaviours where the program statements appear to have executed out of program order.…

Software Engineering · Computer Science 2015-06-03 Saurabh Joshi , Daniel Kroening

The performance properties of byte-addressable persistent memory (PMEM) have the potential to significantly improve system performance over a wide spectrum of applications. But persistent memory brings considerable new challenges to the…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-06-28 Shashank Gugnani , Scott Guthridge , Frank Schmuck , Owen Anderson , Deepavali Bhagwat , Xiaoyi Lu