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The use of disaggregated or far memory systems such as CXL memory pools has renewed interest in Near-Data Processing (NDP): situating cores close to memory to reduce bandwidth requirements to and from the CPU. Hardware designs for such…

Operating Systems · Computer Science 2026-04-21 Zikai Liu , Niels Pressel , Jasmin Schult , Roman Meier , Pengcheng Xu , Timothy Roscoe

Predictable execution time upon accessing shared memories in multi-core real-time systems is a stringent requirement. A plethora of existing works focus on the analysis of Double Data Rate Dynamic Random Access Memories (DDR DRAMs), or…

Hardware Architecture · Computer Science 2018-10-17 Mohamed Hassan

Multichip systems with memory stacks and various processing chips are at the heart of platform based designs such as servers and embedded systems. Full utilization of the benefits of these integrated multichip systems need a seamless, and…

Hardware Architecture · Computer Science 2017-09-25 Md Shahriar Shamim , M Meraj Ahmed , Naseef Mansoor , Amlan Ganguly

The growing popularity of Machine-to-Machine (M2M) communications in cellular networks is driving the need to optimize networks based on the characteristics of M2M, which are significantly different from the requirements that current…

Information Theory · Computer Science 2016-11-17 Harpreet S. Dhillon , Howard C. Huang , Harish Viswanathan , Reinaldo A. Valenzuela

Servers produced by mainstream vendors are inefficient in processing Big Data queries due to bottlenecks inherent in the fundamental architecture of these systems. Current server blades contain multicore processors connected to DRAM memory…

Databases · Computer Science 2020-03-23 Ed T. Upchurch

With the imminent slowing down of DRAM scaling, Phase Change Memory (PCM) is emerging as a lead alternative for main memory technology. While PCM achieves low energy due to various technology-specific advantages, PCM is significantly slower…

Hardware Architecture · Computer Science 2015-04-17 Hamza Bin Sohail , Balajee Vamanan , T. N. Vijaykumar

The emerging hybrid DRAM-NVM architecture is challenging the existing memory management mechanism in operating system. In this paper, we introduce memos, which can schedule memory resources over the entire memory hierarchy including cache,…

Operating Systems · Computer Science 2017-03-23 Lei Liu , Mengyao Xie , Hao Yang

In-memory database query processing frequently involves substantial data transfers between the CPU and memory, leading to inefficiencies due to Von Neumann bottleneck. Processing-in-Memory (PIM) architectures offer a viable solution to…

The Compute Express Link (CXL) is an open industry-standard interconnect between processors and devices such as accelerators, memory buffers, smart network interfaces, persistent memory, and solid-state drives. CXL offers coherency and…

Hardware Architecture · Computer Science 2024-05-09 Debendra Das Sharma , Robert Blankenship , Daniel S. Berger

Remote Direct Memory Access (RDMA) is an efficient way to improve the performance of traditional client-server systems. Currently, there are two main design paradigms for RDMA-accelerated systems. The first allows the clients to directly…

Distributed, Parallel, and Cluster Computing · Computer Science 2015-12-25 Maomeng Su , Mingxing Zhang , Kang Chen , Yongwei Wu , Guoliang Li

Emerging Compute Express Link (CXL) enables cost-efficient memory expansion beyond the local DRAM of processors. While its CXL$.$mem protocol provides minimal latency overhead through an optimized protocol stack, frequent CXL memory…

This paper discusses recent research that aims to enable computation close to data, an approach we broadly call processing-in-memory (PIM). PIM places computation mechanisms in or near where the data is stored (i.e., inside memory chips or…

Hardware Architecture · Computer Science 2025-02-07 Onur Mutlu , Saugata Ghose , Juan Gómez-Luna , Rachata Ausavarungnirun , Mohammad Sadrosadati , Geraldo F. Oliveira

Cutting-edge embedded system applications, such as self-driving cars and unmanned drone software, are reliant on integrated CPU/GPU platforms for their DNNs-driven workload, such as perception and other highly parallel components. In this…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-03-20 Soroush Bateni , Zhendong Wang , Yuankun Zhu , Yang Hu , Cong Liu

Intermittently powered devices rely on opportunistic energy-harvesting to function, leading to recurrent power interruptions. This paper introduces DiCA, a proposal for a hardware/software co-design to create differential check-points in…

Hardware Architecture · Computer Science 2023-08-28 Antonio Joia Neto , Adam Caulfield , Chistabelle Alvares , Ivan De Oliveira Nunes

The ever-increasing computation complexity of fast-growing Deep Neural Networks (DNNs) has requested new computing paradigms to overcome the memory wall in conventional Von Neumann computing architectures. The emerging Computing-In-Memory…

Hardware Architecture · Computer Science 2021-07-21 Kaining Zhou , Yangshuo He , Rui Xiao , Kejie Huang

General trends in computer architecture are shifting more towards parallelism. Multicore architectures have proven to be a major step in processor evolution. With the advancement in multicore architecture, researchers are focusing on…

Hardware Architecture · Computer Science 2019-10-22 Arsalan Shahid , Muhammad Tayyab , Muhammad Yasir Qadri , Nadia N. Qadri , Jameel Ahmed

Recent advances in reprogrammable hardware (e.g., FPGAs) and memory technology (e.g., DDR4, HBM) promise to solve performance problems inherent to graph processing like irregular memory access patterns on traditional hardware (e.g., CPU).…

Hardware Architecture · Computer Science 2021-04-19 Jonas Dann , Daniel Ritter , Holger Fröning

The transition toward softwarized Radio Access Networks (RANs), driven by the Open RAN (O-RAN) paradigm, enables flexible, vendor-neutral deployments through disaggregation and virtualization of base station functions. However, this shift…

Networking and Internet Architecture · Computer Science 2025-08-04 Francisco Crespo , Javier Villegas , Carlos Baena , Eduardo Baena , Sergio Fortes , Raquel Barco

Byte-addressable persistent memory (PM) brings hash tables the potential of low latency, cheap persistence and instant recovery. The recent advent of Intel Optane DC Persistent Memory Modules (DCPMM) further accelerates this trend. Many new…

Databases · Computer Science 2020-10-30 Baotong Lu , Xiangpeng Hao , Tianzheng Wang , Eric Lo

The use of reconfigurable computing, and FPGAs in particular, to accelerate computational kernels has the potential to be of great benefit to scientific codes and the HPC community in general. However, whilst recent advanced in FPGA tooling…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-10-06 Nick Brown , David Dolman
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