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Memory hard functions (MHFs) are an important cryptographic primitive that are used to design egalitarian proofs of work and in the construction of moderately expensive key-derivation functions resistant to brute-force attacks. Broadly…

Cryptography and Security · Computer Science 2019-11-18 Mohammad Hassan Ameri , Jeremiah Blocki , Samson Zhou

In this work, we propose a continuous-time distributed optimization algorithm with guaranteed zero coupling constraint violation and apply it to safe distributed control in the presence of multiple control barrier functions (CBF). The…

Optimization and Control · Mathematics 2025-02-05 Xiao Tan , Changxin Liu , Karl H. Johansson , Dimos V. Dimarogonas

This article introduces a novel communication scheme, termed coded compressed sensing, for unsourced multiple-access communication. The proposed divide-and-conquer approach leverages recent advances in compressed sensing and forward error…

Signal Processing · Electrical Eng. & Systems 2019-06-26 Vamsi K. Amalladinne , Jean-Francois Chamberland , Krishna R. Narayanan

Automated software verification of concurrent programs is challenging because of exponentially large state spaces with respect to the number of threads and number of events per thread. Verification techniques such as model checking need to…

Programming Languages · Computer Science 2020-04-15 Patrick Metzler , Habib Saissi , Péter Bokor , Neeraj Suri

Active Queue Management (AQM) for mitigating Internet congestion has been addressed via various feedback control syntheses, among which P, PI, and PID regulators are quite popular and often associated to a Smith predictor. Here, to better…

Systems and Control · Electrical Eng. & Systems 2023-01-25 Céfric Join , Hugues Mounier , Emmanuel Delaleau , Michel Fliess

We present Hapax Locks, a novel locking algorithm that is simple, enjoys constant-time arrival and unlock paths, provides FIFO admission order, and which is also space efficient and generates relatively little coherence traffic under…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-01-14 Dave Dice , Alex Kogan

Although promising, existing defenses against query-based attacks share a common limitation: they offer increased robustness against attacks at the price of a considerable accuracy drop on clean samples. In this work, we show how to…

Computer Vision and Pattern Recognition · Computer Science 2024-10-24 Pascal Zimmer , Sébastien Andreina , Giorgia Azzurra Marson , Ghassan Karame

State-of-the-art defenses against adversarial patch attacks can now achieve strong certifiable robustness with a marginal drop in model utility. However, this impressive performance typically comes at the cost of 10-100x more inference-time…

Computer Vision and Pattern Recognition · Computer Science 2024-04-03 Chong Xiang , Tong Wu , Sihui Dai , Jonathan Petit , Suman Jana , Prateek Mittal

Compute in-memory (CIM) is a promising technique that minimizes data transport, the primary performance bottleneck and energy cost of most data intensive applications. This has found wide-spread adoption in accelerating neural networks for…

Hardware Architecture · Computer Science 2020-08-18 Brian Crafton , Samuel Spetalnick , Gauthaman Murali , Tushar Krishna , Sung-Kyu Lim , Arijit Raychowdhury

Asynchronously replicated primary-backup databases are commonly deployed to improve availability and offload read-only transactions. To both apply replicated writes from the primary and serve read-only transactions, the backups implement a…

Databases · Computer Science 2022-07-07 Jeffrey Helt , Abhinav Sharma , Daniel J. Abadi , Wyatt Lloyd , Jose M. Faleiro

Memory-hard functions (MHF) are functions whose evaluation cost is dominated by memory cost. MHFs are egalitarian, in the sense that evaluating them on dedicated hardware (like FPGAs or ASICs) is not much cheaper than on off-the-shelf…

Cryptography and Security · Computer Science 2017-07-11 Joel Alwen , Jeremiah Blocki , Krzysztof Pietrzak

Modern data-intensive applications face memory latency challenges exacerbated by disaggregated memory systems. Recent work shows that coroutines are promising in effectively interleaving tasks and hiding memory latency, but they struggle to…

Hardware Architecture · Computer Science 2025-11-20 Zhuolun Jiang , Songyue Wang , Xiaokun Pei , Tianyue Lu , Mingyu Chen

Aggregating data is fundamental to data analytics, data exploration, and OLAP. Approximate query processing (AQP) techniques are often used to accelerate computation of aggregates using samples, for which confidence intervals (CIs) are…

Mixture-of-Experts (MoE) architectures offer the promise of larger model capacity without the prohibitive costs of fully dense designs. However, in real-world inference serving, load skew across experts often leads to suboptimal device…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-05-30 Shaoyu Wang , Guangrong He , Geon-Woo Kim , Yanqi Zhou , Seo Jin Park

Coherent causal memory (CCM) is causal memory in which prefixes of an execution can be mapped to global memory states in a consistent way. While CCM requires conflicting pairs of writes to be globally ordered, it allows writes to remain…

Distributed, Parallel, and Cluster Computing · Computer Science 2014-04-09 Ernie Cohen

Control barrier function (CBF)-based methods provide the minimum modification necessary to formally guarantee safety in the context of quadratic programming, and strict safety guarantee for safety critical systems. However, most CBF-related…

Systems and Control · Electrical Eng. & Systems 2025-12-27 Xiaoxiao Li , Zhirui Sun , Hongpeng Wang , Shuai Li , Jiankun Wang

Designing large coupling memory quasi-cyclic spatially-coupled LDPC (QC-SC-LDPC) codes with low error floors requires eliminating specific harmful substructures (e.g., short cycles) induced by edge spreading and lifting. Building on our…

Information Theory · Computer Science 2026-01-21 Lei Huang

This paper reveals that locking can significantly degrade the performance of applications on disaggregated memory (DM), sometimes by several orders of magnitude, due to contention on the NICs of memory nodes (MN-NICs). To address this…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-05-26 Hanze Zhang , Ke Cheng , Rong Chen , Xingda Wei , Haibo Chen

Concurrent coding is an unconventional encoding technique that simultaneously provides protection against noise, burst errors and interference. This simple-to-understand concept is investigated by distinguishing 2 types of code, open and…

Information Theory · Computer Science 2019-01-29 David M Benton

The fundamental tension between availability and consistency shapes the design of distributed storage systems. Classical results capture extreme points of this trade-off: the CAP theorem shows that strong models like linearizability…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-10-29 Hagit Attiya , Constantin Enea , Enrique Román-Calvo
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