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Computing-in-Memory architectures based on non-volatile emerging memories have demonstrated great potential for deep neural network (DNN) acceleration thanks to their high energy efficiency. However, these emerging devices can suffer from…

Machine Learning · Computer Science 2022-10-10 Zheyu Yan , Xiaobo Sharon Hu , Yiyu Shi

Memory management is necessary with the increasing number of multi-connected AI devices and data bandwidth issues. For this purpose, high-speed multi-port memory is used. The traditional multi-port memory solutions are hard-bounded to a…

Hardware Architecture · Computer Science 2024-11-08 Narendra Singh Dhakad , Santosh Kumar Vishvakarma

Read disturbance in modern DRAM chips is a widespread phenomenon and is reliably used for breaking memory isolation, a fundamental building block for building robust systems. RowHammer and RowPress are two examples of read disturbance in…

Considering the widespread use of effective capacity in cross-layer design and the extensive existence of renewal service processes in communication networks, this paper thoroughly investigates the effective capacity for renewal processes.…

Information Theory · Computer Science 2018-12-18 Zheng Shi , Theodoros Tsiftsis , Weiqiang Tan , Guanghua Yang , Shaodan Ma , Mohamed-Slim Alouini

As transistor-based memory technologies like dynamic random access memory (DRAM) approach their scalability limits, the need to explore alternative storage solutions becomes increasingly urgent. Phase-change memory (PCM) has gained…

Hardware Architecture · Computer Science 2025-12-02 Mahek Desai , Rowena Quinn , Marjan Asadinia

We propose locally rewritable codes (LWC) for resistive memories inspired by locally repairable codes (LRC) for distributed storage systems. Small values of repair locality of LRC enable fast repair of a single failed node since the lost…

Emerging technologies present opportunities for system designers to meet the challenges presented by competing trends of big data analytics and limitations on CMOS scaling. Specifically, memristors are an emerging high-density technology…

Emerging Technologies · Computer Science 2016-01-21 Yang Liu , Chris Dwyer , Alvin R. Lebeck

This paper presents an approach for reducing the memory requirements of dataflow applications, while minimizing the execution period when deployed on a many-core target. Often, straightforward implementations of dataflow applications suffer…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-11-30 Martin Letras , Joachim Falk , Jürgen Teich

We present SSS, a scalable transactional key-value store deploying a novel distributed concurrency control that provides external consistency for all transactions, never aborts read-only transactions due to concurrency, all without…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-01-15 Masoomeh Javidi Kishi , Sebastiano Peluso , Hank Korth , Roberto Palmieri

As a typical open-ended generation task, creative writing lacks verifiable reference answers, which has long constrained reward modeling and automatic evaluation due to high human annotation costs, evaluative bias, and coarse feedback…

Computation and Language · Computer Science 2026-03-17 Jihao Zhao , Shuaishuai Zu , Zhiyuan Ji , Chunlai Zhou , Biao Qin

State machine replication protocols, like MultiPaxos and Raft, are a critical component of many distributed systems and databases. However, these protocols offer relatively low throughput due to several bottlenecked components. Numerous…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-05-18 Michael Whittaker , Ailidani Ailijiang , Aleksey Charapko , Murat Demirbas , Neil Giridharan , Joseph M. Hellerstein , Heidi Howard , Ion Stoica , Adriana Szekeres

We take a relatively fresh wait-free, concurrent sorted map called KiWi, fix and enhance it. First, we test its linearizability by fuzzing and applying Wing&Gong [2] linearizability test. After fixing a few bugs in the algorithm design and…

Data Structures and Algorithms · Computer Science 2017-10-16 Assaf Yifrach , Niv Gabso

Designing a rate limiter that is simultaneously accurate, available, and scalable presents a fundamental challenge in distributed systems, primarily due to the trade-offs between algorithmic precision, availability, consistency, and…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-02-13 Bo Guan

We present ReadOnce Transformers, an approach to convert a transformer-based model into one that can build an information-capturing, task-independent, and compressed representation of text. The resulting representation is reusable across…

Computation and Language · Computer Science 2021-08-05 Shih-Ting Lin , Ashish Sabharwal , Tushar Khot

Online applications now routinely replicate their data at multiple sites around the world. In this paper we present Atlas, the first state-machine replication protocol tailored for such planet-scale systems. Atlas does not rely on a…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-05-19 Vitor Enes , Carlos Baquero , Tuanir França Rezende , Alexey Gotsman , Matthieu Perrin , Pierre Sutra

Compute-in-memory (CiM) is a promising approach to improving the computing speed and energy efficiency in dataintensive applications. Beyond existing CiM techniques of bitwise logic-in-memory operations and dot product operations, this…

Hardware Architecture · Computer Science 2023-01-03 Yiming Chen , Yushen Fu , Mingyen Lee , Sumitha George , Yongpan Liu , Vijaykrishnan Narayanan , Huazhong Yang , Xueqing Li

Designers of modern reader-writer locks confront a difficult trade-off related to reader scalability. Locks that have a compact memory representation for active readers will typically suffer under high intensity read-dominated workloads…

Operating Systems · Computer Science 2019-07-11 David Dice , Alex Kogan

The lock-free, ordered, linked list is an important, standard example of a concurrent data structure. An obvious, practical drawback of textbook implementations is that failed compare-and-swap (CAS) operations lead to retraversal of the…

Data Structures and Algorithms · Computer Science 2020-11-02 Jesper Larsson Träff , Manuel Pöter

Rubric-based reward shaping provides interpretable and editable reward signals for fine-tuning LLMs via reinforcement learning (RL), but existing adaptive rubric methods typically update criteria from local evidence such as the current…

Machine Learning · Computer Science 2026-05-27 Peilin Wu , Xinlu Zhang , Kun Wan , Wentian Zhao , Gang Wu , Xinya Du , Zhiyu Chen

Practical Byzantine Fault Tolerance (PBFT) is a seminal state machine replication protocol that achieves a performance comparable to non-replicated systems in realistic environments. A reason for such high performance is the set of…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-07-26 Christian Berger , Hans P. Reiser , Alysson Bessani
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