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Control-Flow Hijacking attacks are the dominant attack vector against C/C++ programs. Control-Flow Integrity (CFI) solutions mitigate these attacks on the forward edge,i.e., indirect calls through function pointers and virtual calls.…

Cryptography and Security · Computer Science 2019-11-26 Nathan Burow , Xinping Zhang , Mathias Payer

Exa-scale simulations are on the horizon but almost no new design for the output has been proposed in recent years. In simulations using individual time steps, the traditional snapshots are over resolving particles/cells with large time…

Instrumentation and Methods for Astrophysics · Physics 2022-10-25 Loic Hausammann , Pedro Gonnet , Matthieu Schaller

This paper presents a software-based technique to recover control-flow errors in multithreaded programs. Control-flow error recovery is achieved through inserting additional instructions into multithreaded program at compile time regarding…

Programming Languages · Computer Science 2016-07-27 Navid Khoshavi , Mohammad Maghsoudloo , Hamid R. Zarandi

Code reuse attack (CRA) is a powerful attack that reuses existing codes to hijack the program control flow. Control flow integrity (CFI) is one of the most popular mechanisms to prevent against CRAs. However, current CFI techniques are…

Cryptography and Security · Computer Science 2019-05-07 Jiliang Zhang , Wuqiao Chen , Yuqi Niu

Comprehensive specifications are essential for various activities across the entire validation continuum for system-on-chip (SoC) designs. However, specifications are often ambiguous, incomplete, or even contain inconsistencies or errors.…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-05-05 Yuting Cao , Parijat Mukherjee , Mahesh Ketkar , Jin Yang , Hao Zheng

Detecting weaknesses in cryptographic algorithms is of utmost importance for designing secure information systems. The state-of-the-art soft analytical side-channel attack (SASCA) uses physical leakage information to make probabilistic…

Machine Learning · Computer Science 2025-01-24 Thomas Wedenig , Rishub Nagpal , Gaëtan Cassiers , Stefan Mangard , Robert Peharz

A computing job in a big data system can take a long time to run, especially for pipelined executions on data streams. Developers often need to change the computing logic of the job such as fixing a loophole in an operator or changing the…

Databases · Computer Science 2022-10-20 Zuozhi Wang , Shengquan Ni , Avinash Kumar , Chen Li

Domain-specific accelerators deliver exceptional performance on their target workloads through fabrication-time orchestrated datapaths. However, such specialized architectures often exhibit performance fragility when exposed to new kernels…

Hardware Architecture · Computer Science 2026-02-20 Zhenyu Bai , Pranav Dangi , Rohan Juneja , Zhaoying Li , Zhanglu Yan , Huiying Lan , Tulika Mitra

Verifying multi-threaded programs is becoming more and more important, because of the strong trend to increase the number of processing units per CPU socket. We introduce a new configurable program analysis for verifying multi-threaded…

Logic in Computer Science · Computer Science 2016-12-23 Dirk Beyer , Karlheinz Friedberger

Fast SC decoding overcomes the latency caused by the serial nature of the SC decoding by identifying new nodes in the upper levels of the SC decoding tree and implementing their fast parallel decoders. In this work, we first present a novel…

Information flow security ensures that the secret data manipulated by a program does not influence its observable output. Proving information flow security is especially challenging for concurrent programs, where operations on secret data…

Cryptography and Security · Computer Science 2023-04-12 Marco Eilers , Thibault Dardinier , Peter Müller

The aim of the paper is to introduce general techniques in order to optimize the parallel execution time of sorting on a distributed architectures with processors of various speeds. Such an application requires a partitioning step. For…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-08-16 Christophe Cérin , Jean-Christophe Dubacq , Jean-Louis Roch , the SafeScale Collaboration

Despite recent progress in video generation, inference speed remains a major bottleneck. A common acceleration strategy involves reusing model outputs via caching mechanisms at fixed intervals. However, we find that such fixed-frequency…

Computer Vision and Pattern Recognition · Computer Science 2025-07-10 Zishen Huang , Chunyu Yang , Mengyuan Ren

Parallel computing is very important to accelerate the performance of software systems. Additionally, considering that a recurring challenge is to process high data volumes continuously, stream processing emerged as a paradigm and software…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-05-14 Adriano Vogel , Sören Henning , Esteban Perez-Wohlfeil , Otmar Ertl , Rick Rabiser

Each application developer desires to provide its users with consistent results and an always-available system despite failures. Boldly, the CALM theorem disagrees. It states that it is hard to design a system that is both consistent and…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-08-25 Junchao Chen , Suyash Gupta , Daniel P. Hughes , Mohammad Sadoghi

Modern processors rely heavily on speculation to keep the pipeline filled and consequently execute and commit instructions as close to maximum capacity as possible. To improve instruction-level parallelism, the processor core needs to fetch…

Hardware Architecture · Computer Science 2021-10-19 Ilias Vougioukas , Andreas Sandberg , Nikos Nikoleris

Deterministic execution offers many benefits for debugging, fault tolerance, and security. Running parallel programs deterministically is usually difficult and costly, however - especially if we desire system-enforced determinism, ensuring…

Operating Systems · Computer Science 2010-05-20 Amittai Aviram , Shu-Chun Weng , Sen Hu , Bryan Ford

Execution of concurrent programs implies frequent switching between different thread contexts. This property perplexes analyzing and reasoning about concurrent programs. Trace simplification is a technique that aims at alleviating this…

Software Engineering · Computer Science 2014-05-20 Mohamed A. El-Zawawy , Mohammad N. Alanazi

Hardware failures are a growing challenge for machine learning accelerators, many of which are based on systolic arrays. When a permanent hardware failure occurs in a systolic array, existing solutions include localizing and isolating the…

Machine Learning · Computer Science 2024-12-24 Youssef A. Ait Alama , Sampada Sakpal , Ke Wang , Razvan Bunescu , Avinash Karanth , Ahmed Louri

Reliability and real-time responsiveness in safety-critical systems have traditionally been achieved using error detection mechanisms, such as LockStep, which require pre-configured checker cores,strict synchronisation between main and…

Hardware Architecture · Computer Science 2025-03-19 Tinglue Wang , Yiming Li , Wei Tang , Jiapeng Guan , Zhenghui Guo , Renshuang Jiang , Ran Wei , Jing Li , Zhe Jiang
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