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Function entry detection is critical for security of binary code. Conventional methods heavily rely on patterns, inevitably missing true functions and introducing errors. Recently, call frames have been used in exception-handling for…

Cryptography and Security · Computer Science 2021-04-08 Chengbin Pang , Ruotong Yu , Dongpeng Xu , Eric Koskinen , Georgios Portokalidis , Jun Xu

The behaviour produced by an instruction sequence under execution is a behaviour to be controlled by some execution environment: each step performed actuates the processing of an instruction by the execution environment and a reply returned…

Programming Languages · Computer Science 2009-05-15 J. A. Bergstra , C. A. Middelburg

In a warehouse environment, tasks appear dynamically. Consequently, a task management system that matches them with the workforce too early (e.g., weeks in advance) is necessarily sub-optimal. Also, the rapidly increasing size of the action…

Machine Learning · Computer Science 2022-03-08 Diogo S. Carvalho , Biswa Sengupta

Serverless computing has emerged as a promising alternative to infrastructure- (IaaS) and platform-as-a-service (PaaS)cloud platforms for applications with ample parallelism and intermittent activity. Serverless promises greater resource…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-01-03 Shannon Joyner , Michael MacCoss , Christina Delimitrou , Hakim Weatherspoon

Functions of one or more variables are usually approximated with a basis: a complete, linearly-independent system of functions that spans a suitable function space. The topic of this paper is the numerical approximation of functions using…

Numerical Analysis · Mathematics 2018-11-07 Ben Adcock , Daan Huybrechs

We present Executable Abstract Programs and analyse their role for software development and documentation. The intuitive understanding of these programs fits the computational mindset of software system engineers and is supported by a…

Software Engineering · Computer Science 2022-09-15 Egon Boerger

One of the major limitations for the employment of model-based planning and scheduling in practical applications is the need of costly re-planning when an incongruence between the observed reality and the formal model is encountered during…

Artificial Intelligence · Computer Science 2019-11-19 Michael Cashmore , Alessandro Cimatti , Daniele Magazzeni , Andrea Micheli , Parisa Zehtabi

In order to solve complex, long-horizon tasks, intelligent robots need to carry out high-level, abstract planning and reasoning in conjunction with motion planning. However, abstract models are typically lossy and plans or policies computed…

Artificial Intelligence · Computer Science 2020-06-02 Naman Shah , Deepak Kala Vasudevan , Kislay Kumar , Pranav Kamojjhala , Siddharth Srivastava

Recent analysis of classical algorithms resulted in their axiomatization as transition systems satisfying some simple postulates, and in the formulation of the Abstract State Machine Theorem, which assures us that any classical algorithm…

Logic in Computer Science · Computer Science 2024-10-15 Andreas Blass , Nachum Dershowitz , Yuri Gurevich

Agents that plan and act in the real world must deal with the fact that time passes as they are planning. When timing is tight, there may be insufficient time to complete the search for a plan before it is time to act. By commencing…

Artificial Intelligence · Computer Science 2023-03-07 Amihay Elboher , Ava Bensoussan , Erez Karpas , Wheeler Ruml , Shahaf S. Shperberg , Solomon E. Shimony

FPGAs are an attractive type of accelerator for all-purpose HPC computing systems due to the possibility of deploying tailored hardware on demand. However, the common tools for programming and operating FPGAs are still complex to use,…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-01-19 Gabriel Rodriguez-Canal , Nick Brown , Yuri Torres , Arturo Gonzalez-Escribano

Heterogeneous nodes that combine multi-core CPUs with diverse accelerators are rapidly becoming the norm in both high-performance computing (HPC) and AI infrastructures. Exploiting these platforms, however, requires orchestrating several…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-03-02 Aleix Boné , Alejandro Aguirre , David Álvarez , Pedro J. Martinez-Ferrer , Vicenç Beltran

Linked lists have long served as a valuable teaching tool in programming. However, the question arises: Are they truly practical for everyday program use? In most cases, it appears that array-based data structures offer distinct advantages,…

Data Structures and Algorithms · Computer Science 2024-08-29 Benoît Sonntag , Dominique Colnet

In this paper, we show a new approach to transformations of an imperative program with function calls and global variables into a logically constrained term rewriting system. The resulting system represents transitions of the whole…

Logic in Computer Science · Computer Science 2019-02-25 Yoshiaki Kanazawa , Naoki Nishida

We discuss computational superstructures that, using repeated, appropriately initialized short calls, enable temporal process simulators to perform alternative tasks such as fixed point computation, stability analysis and projective…

Optimization and Control · Mathematics 2025-10-20 C. I. Siettos , C. C. Pantelides , I. G. Kevrekidis

Heterogeneous computing is one of the most important computational solutions to meet rapidly increasing demands on system performance. It typically allows the main flow of applications to be executed on a CPU while the most computationally…

Software Engineering · Computer Science 2020-12-11 Hugo Andrade , Ola Benderius , Christian Berger , Ivica Crnkovic , Jan Bosch

Robotic process automation (RPA) is a technology for centralized automation of business processes. RPA automates user interaction with graphical user interfaces, whereby it promises efficiency gains and a reduction of human negligence…

Software Engineering · Computer Science 2020-09-10 Christian Wellmann , Matthias Stierle , Sebastian Dunzer , Martin Matzner

Quantum circuits are the preferred formalism for expressing quantum information processing tasks. Quantum circuit design automation methods mostly use a waterfall approach and consider that high level circuit descriptions are hardware…

Quantum Physics · Physics 2018-11-12 Alexandru Paler , Austin G. Fowler , Robert Wille

Many real-world scientific workflows can be represented by a Directed Acyclic Graph (DAG), where each node represents a task and a directed edge signifies a dependency between two tasks. Due to the increasing computational resource…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-04-04 Atherve Tekawade , Suman Banerjee

Runtime verification is an area of formal methods that studies the dynamic analysis of execution traces against formal specifications. Typically, the two main activities in runtime verification efforts are the process of creating monitors…

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