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Top-k keyword and top-k document extraction are very popular text analysis techniques. Top-k keywords and documents are often computed on-the-fly, but they exploit weighted vocabularies that are costly to build. To compare competing…

Databases · Computer Science 2018-04-23 Ciprian-Octavian Truica , Jérôme Darmont , Alexandru Boicea , Florin Radulescu

Recent demand for distributed software had led to a surge in popularity in actor-based frameworks. However, even with the stylized message passing model of actors, writing correct distributed software is still difficult. We present our work…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-07-20 Mohammed S. Al-Mahfoudh , Ryan Stutsman , Ganesh Gopalakrishnan

We present a method to automatically extract ("carve") parameterized unit tests from system executions. The unit tests execute the same functions as the system tests they are carved from, but can do so much faster as they call functions…

Software Engineering · Computer Science 2018-12-20 Alexander Kampmann , Andreas Zeller

Parametric linear programming is a central operation for polyhedral computations, as well as in certain control applications.Here we propose a task-based scheme for parallelizing it, with quasi-linear speedup over large problems.This type…

Computational Geometry · Computer Science 2020-10-01 Camille Coti , David Monniaux , Hang Yu

What is a systematic way to efficiently apply a wide spectrum of advanced ML programs to industrial scale problems, using Big Models (up to 100s of billions of parameters) on Big Data (up to terabytes or petabytes)? Modern parallelization…

In this paper we study the global scheduling of periodic task systems upon multiprocessor platforms. We first show two very general properties which are well-known for uniprocessor platforms and which remain for multiprocessor platforms:…

Operating Systems · Computer Science 2008-01-29 Liliana Cucu , Joël Goossens

This work addresses the problem of scheduling user-defined analytic applications, which we define as high-level compositions of frameworks, their components, and the logic necessary to carry out work. The key idea in our application…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-12-08 Francesco Pace , Daniele Venzano , Damiano Carra , Pietro Michiardi

We present a principled automatic testing framework for application-layer protocols. The key innovation is a domain-specific embedded language for writing nondeterministic models of the behavior of networked servers. These models are…

Software Engineering · Computer Science 2021-07-13 Yishuai Li , Benjamin C. Pierce , Steve Zdancewic

Adaptive scheduling is crucial for ensuring the reliability and safety of time-triggered systems (TTS) in dynamic operational environments. Scheduling frameworks face significant challenges, including message collisions, locked loops from…

Artificial Intelligence · Computer Science 2025-09-26 Samer Alshaer , Ala Khalifeh , Roman Obermaisser

How effectively can LLM-based AI assistants utilize their memory (context) to perform various tasks? Traditional data benchmarks, which are often manually crafted, suffer from several limitations: they are static, susceptible to…

Computation and Language · Computer Science 2025-06-10 Menglin Xia , Victor Ruehle , Saravan Rajmohan , Reza Shokri

Benchmarking has long served as a foundational practice in machine learning and, increasingly, in modern AI systems such as large language models, where shared tasks, metrics, and leaderboards offer a common basis for measuring progress and…

Artificial Intelligence · Computer Science 2026-02-16 Philip Waggoner

Real time system technology traditionally developed for safety critical systems, has now been extended to support multimedia systems and virtual reality. A large number of real-time application, related to multimedia and adaptive control…

Operating Systems · Computer Science 2012-12-17 Shri Prakash Dwivedi

The emergence of variational quantum applications has led to the development of automatic differentiation techniques in quantum computing. Recently, Zhu et al. (PLDI 2020) have formulated differentiable quantum programming with bounded…

Quantum Physics · Physics 2022-11-10 Wang Fang , Mingsheng Ying , Xiaodi Wu

The rise of biomedical foundation models creates new hurdles in model testing and authorization, given their broad capabilities and susceptibility to complex distribution shifts. We suggest tailoring robustness tests according to…

Software Engineering · Computer Science 2025-09-01 R. Patrick Xian , Noah R. Baker , Tom David , Qiming Cui , A. Jay Holmgren , Stefan Bauer , Madhumita Sushil , Reza Abbasi-Asl

With recent advancements in natural language processing, Large Language Models (LLMs) have emerged as powerful tools for various real-world applications. Despite their prowess, the intrinsic generative abilities of LLMs may prove…

Artificial Intelligence · Computer Science 2025-12-30 Jingqing Ruan , Yihong Chen , Bin Zhang , Zhiwei Xu , Tianpeng Bao , Guoqing Du , Shiwei Shi , Hangyu Mao , Ziyue Li , Xingyu Zeng , Rui Zhao

Big data analytics frameworks (BDAFs) have been widely used for data processing applications. These frameworks provide a large number of configuration parameters to users, which leads to a tuning issue that overwhelms users. To address this…

Software Engineering · Computer Science 2018-08-21 Liang Bao , Xin Liu , Weizhao Chen

GUI task automation streamlines repetitive tasks, but existing LLM or VLM-based planner-executor agents suffer from brittle generalization, high latency, and limited long-horizon coherence. Their reliance on single-shot reasoning or static…

Artificial Intelligence · Computer Science 2025-09-29 Seoyoung Lee , Seonbin Yoon , Seongbeen Lee , Hyesoo Kim , Joo Yong Sim

Efficient operator scheduling is a fundamental challenge in software compilation and hardware synthesis. While recent differentiable approaches have sought to replace traditional ones like exact solvers or heuristics with gradient-based…

Machine Learning · Computer Science 2026-02-25 Yaohui Cai , Vesal Bakhtazad , Cunxi Yu , Zhiru Zhang

Parametric timed automata are a powerful formalism for reasoning on concurrent real-time systems with unknown or uncertain timing constants. In order to test the efficiency of new algorithms, a fair set of benchmarks is required. We present…

Logic in Computer Science · Computer Science 2021-06-21 Étienne André , Dylan Marinho , Jaco van de Pol

Understanding how complex systems respond to perturbations, such as whether they will remain stable or what their most sensitive patterns are, is a fundamental challenge across science and engineering. Traditional stability and receptivity…

Fluid Dynamics · Physics 2026-04-28 Chengyun Wang , Liwei Chen , Nils Thuerey