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The current mobile applications have rapidly growing memory footprints, posing a great challenge for memory system design. Insufficient DRAM main memory will incur frequent data swaps between memory and storage, a process that hurts…

Hardware Architecture · Computer Science 2024-03-19 Fei Wen , Mian Qin , Paul Gratz , Narasimha Reddy

Ordered (key-value) maps are an important and widely-used data type for large-scale data processing frameworks. Beyond simple search, insertion and deletion, more advanced operations such as range extraction, filtering, and bulk updates…

Data Structures and Algorithms · Computer Science 2018-03-28 Yihan Sun , Daniel Ferizovic , Guy E. Blelloch

UMAP (Uniform Manifold Approximation and Projection) is a novel manifold learning technique for dimension reduction. UMAP is constructed from a theoretical framework based in Riemannian geometry and algebraic topology. The result is a…

Machine Learning · Statistics 2020-09-21 Leland McInnes , John Healy , James Melville

This article investigates the cache-enabling unmanned aerial vehicle (UAV) cellular networks with massive access capability supported by non-orthogonal multiple access (NOMA). The delivery of a large volume of multimedia contents for ground…

Signal Processing · Electrical Eng. & Systems 2020-08-13 Tiankui Zhang , Ziduan Wang , Yuanwei Liu , Wenjun Xu , Arumugam Nallanathan

Spreadsheet software is the tool of choice for interactive ad-hoc data management, with adoption by billions of users. However, spreadsheets are not scalable, unlike database systems. On the other hand, database systems, while highly…

Databases · Computer Science 2017-10-09 Mangesh Bendre , Vipul Venkataraman , Xinyan Zhou , Kevin Chang , Aditya Parameswaran

Serverless computing paradigm has become more ingrained into the industry, as it offers a cheap alternative for application development and deployment. This new paradigm has also created new kinds of problems for the developer, who needs to…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-07-14 Gor Safaryan , Anshul Jindal , Mohak Chadha , Michael Gerndt

MPI has been ubiquitously deployed in flagship HPC systems aiming to accelerate distributed scientific applications running on tens of hundreds of processes and compute nodes. Maintaining the correctness and integrity of MPI application…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-02-16 Luanzheng Guo , Giorgis Georgakoudis , Konstantinos Parasyris , Ignacio Laguna , Dong Li

Computer-using agents have shown strong potential to boost human productivity and enable new application forms across platforms. While recent advances have led to usable applications, existing benchmarks fail to account for the internal…

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

Developing kernels for Processing-In-Memory (PIM) platforms poses unique challenges in data management and parallel programming on limited processing units. Although software development kits (SDKs) for PIM, such as the UPMEM SDK, provide…

Hardware Architecture · Computer Science 2025-10-21 Krystian Chmielewski , Jarosław Ławnicki , Uladzislau Lukyanau , Tadeusz Kobus , Maciej Maciejewski

Discrete GPU accelerators, while providing massive computing power for supercomputers and data centers, have their separate memory domain. Explicit memory management across device and host domains in programming is tedious and error-prone.…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-05-14 Bennett Cooper , Thomas R. W. Scogland , Rong Ge

To close the gap between memory and processors, and in turn improve performance, there has been an abundance of work in the area of data/instruction prefetcher designs. Prefetchers are deployed in each level of the memory hierarchy, but…

Hardware Architecture · Computer Science 2020-08-04 Furkan Eris , Sadullah Canakci , Cansu Demirkiran , Ajay Joshi

Data movement in memory-intensive workloads, such as deep learning, incurs energy costs that are over three orders of magnitude higher than the cost of computation. Since these workloads involve frequent data transfers between memory and…

Hardware Architecture · Computer Science 2025-02-05 Bahareh Khabbazan , Marc Riera , Antonio González

The increasing demand for memory in hyperscale applications has led to memory becoming a large portion of the overall datacenter spend. The emergence of coherent interfaces like CXL enables main memory expansion and offers an efficient…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-05-30 Hasan Al Maruf , Hao Wang , Abhishek Dhanotia , Johannes Weiner , Niket Agarwal , Pallab Bhattacharya , Chris Petersen , Mosharaf Chowdhury , Shobhit Kanaujia , Prakash Chauhan

Using parallel embedded systems these days is increasing. They are getting more complex due to integrating multiple functionalities in one application or running numerous ones concurrently. This concerns a wide range of applications,…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-07-18 Hasna Bouraoui , Chadlia Jerad , Omar Romdhani , Jeronimo Castrillon

Memory tiering provides a cost-effective solution to increase memory capacity, utilization, and even bandwidth. Memory tiering relies on system software for memory profiling, detection of frequently accessed pages, and page migration. Such…

Operating Systems · Computer Science 2026-04-15 Xi Wang , Jie Liu , Shuangyan Yang , Jongryool Kim , Pengfei Su , Dong Li

The initial location of data in DRAMs is determined and controlled by the 'address-mapping' and even modern memory controllers use a fixed and run-time-agnostic address mapping. On the other hand, the memory access pattern seen at the…

Hardware Architecture · Computer Science 2015-09-15 Mohsen Ghasempour , Jim Garside , Aamer Jaleel , Mikel Luján

U-Net models with encoder, decoder, and skip-connections components have demonstrated effectiveness in a variety of vision tasks. The skip-connections transmit fine-grained information from the encoder to the decoder. It is necessary to…

Computer Vision and Pattern Recognition · Computer Science 2024-12-25 Lingxiao Yin , Wei Tao , Dongyue Zhao , Tadayuki Ito , Kinya Osa , Masami Kato , Tse-Wei Chen

With the advent of byte-addressable memory devices, such as CXL memory, persistent memory, and storage-class memory, tiered memory systems have become a reality. Page migration is the de facto method within operating systems for managing…

Operating Systems · Computer Science 2024-06-19 Lingfeng Xiang , Zhen Lin , Weishu Deng , Hui Lu , Jia Rao , Yifan Yuan , Ren Wang

The applications being developed within the U.S. Exascale Computing Project (ECP) to run on imminent Exascale computers will generate scientific results with unprecedented fidelity and record turn-around time. Many of these codes are based…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-08-04 Lipeng Wan , Axel Huebl , Junmin Gu , Franz Poeschel , Ana Gainaru , Ruonan Wang , Jieyang Chen , Xin Liang , Dmitry Ganyushin , Todd Munson , Ian Foster , Jean-Luc Vay , Norbert Podhorszki , Kesheng Wu , Scott Klasky
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