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To improve power efficiency, researchers are experimenting with dynamically adjusting the supply voltage of systems below the nominal operating points. However, production systems are typically not allowed to function on voltage settings…

Under Windows operating system, existing I/O benchmarking tools does not allow a developer to efficiently define a file access strategy according to the applications' constraints. This is essentially due to the fact that the existing tools…

Performance · Computer Science 2010-07-26 Jalil Boukhobza , Timsit Claude

Cycle-accurate simulators are widely used to study systolic accelerators, yet their accuracy and usability are often limited by weak validation against real hardware and poor integration with modern ML compiler stacks. This paper presents…

Hardware Architecture · Computer Science 2026-03-25 Jingtian Dang , Ritik Raj , Changhai Man , Jianming Tong , Tushar Krishna

Phase-based statistical sampling methods such as SimPoints have proven to be effective at dramatically reducing the long time for architectural simulators to run large workloads such as SPEC CPU2017. However, generating and validating them…

Performance · Computer Science 2021-12-15 Haiyang Han , Nikos Hardavellas

The current verification flow of complex systems uses different engines synergistically: virtual prototyping, formal verification, simulation, emulation and FPGA prototyping. However, none is able to verify a complete architecture.…

Logic in Computer Science · Computer Science 2018-02-12 Tomas Grimm , Djones Lettnin , Michael Hübner

The DEVStone benchmark allows us to evaluate the performance of discrete-event simulators based on the DEVS formalism. It provides model sets with different characteristics, enabling the analysis of specific issues of simulation engines.…

Software Engineering · Computer Science 2023-09-29 Román Cárdenas , Kevin Henares , Patricia Arroba , José L. Risco-Martín , Gabriel A. Wainer

Cyber-physical system (CPS) forecasting models depend on sensor streams with noisy, biased, missing, or temporally misaligned readings, yet standard forecasting evaluation often selects models by nominal error without showing whether they…

Machine Learning · Computer Science 2026-05-12 Alexander Windmann , Philipp Wittenberg , Gianluca Manca , Marcel Dix , Jens U. Brandt , Oliver Niggemann

Machine learning (ML) plays a pivotal role in detecting malicious software. Despite the high F1-scores reported in numerous studies reaching upwards of 0.99, the issue is not completely solved. Malware detectors often experience performance…

Architectural simulators play a critical role in early microarchitectural exploration due to their flexibility and high productivity. However, their effectiveness is often constrained by fidelity: simulators may deviate from the behavior of…

Hardware Architecture · Computer Science 2026-02-13 Hao Zhen , Qingxuan Kang , Yungang Bao , Trevor E. Carlson

In the paper Controlling Garbage Collection and Request Admission to Improve Performance of FaaS Applications, we verified and evaluated the impact of memory management mechanics of programming languages in the context of Functions as a…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-06-30 David Ferreira Quaresma , Thiago Emmanuel Pereira , Daniel Fireman

Simulation is a fundamental research tool in the computer architecture field. These kinds of tools enable the exploration and evaluation of architectural proposals capturing the most relevant aspects of the highly complex systems under…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-02-11 Adrian Colaso , Pablo Prieto , Jose-Angel Herrero , Pablo Abad , Valentin Puente , Jose-Angel Gregorio

Unlike most other software quality attributes, testability cannot be evaluated solely based on the characteristics of the source code. The effectiveness of the test suite and the budget assigned to the test highly impact the testability of…

Software Engineering · Computer Science 2022-08-25 Morteza Zakeri-Nasrabadi , Saeed Parsa

Agent skills, structured procedural knowledge packages injected at inference time, are increasingly used to augment LLM agents on software engineering tasks. However, their real utility in end-to-end development settings remains unclear. We…

Software Engineering · Computer Science 2026-03-17 Tingxu Han , Yi Zhang , Wei Song , Chunrong Fang , Zhenyu Chen , Youcheng Sun , Lijie Hu

Context: Static Application Security Testing Tools (SASTTs) identify software vulnerabilities to support the security and reliability of software applications. Interestingly, several studies have suggested that alternative solutions may be…

Software Engineering · Computer Science 2024-03-15 Matteo Esposito , Valentina Falaschi , Davide Falessi

Test-based automated program repair has been a prolific field of research in software engineering in the last decade. Many approaches have indeed been proposed, which leverage test suites as a weak, but affordable, approximation to program…

This paper explores the impact of simulator accuracy on architecture design decisions in the general-purpose graphics processing unit (GPGPU) space. We perform a detailed, quantitative analysis of the most popular publicly available GPU…

Hardware Architecture · Computer Science 2020-06-04 Mahmoud Khairy , Jain Akshay , Tor Aamodt , Timothy G. Rogers

Quantum information processors need to be protected against errors and faults. One of the most widely considered fault-tolerant architecture is based on surface codes. While the general principles of these codes are well understood and…

Quantum Physics · Physics 2016-11-15 Nicolas Delfosse , Pavithran Iyer , David Poulin

Simulation-based software testing supports engineers in finding faults in Simulink models. It typically relies on search algorithms that iteratively generate test inputs used to exercise models in simulation to detect design errors. While…

Software Engineering · Computer Science 2022-12-23 Federico Formica , Tony Fan , Akshay Rajhans , Vera Pantelic , Mark Lawford , Claudio Menghi

New speculation-based attacks that affect large numbers of modern systems are disclosed regularly. Currently, CPU vendors regularly fall back to heavy-handed mitigations like using barriers or enforcing strict programming guidelines…

Cryptography and Security · Computer Science 2023-06-21 Ali Hajiabadi , Archit Agarwal , Andreas Diavastos , Trevor E. Carlson

The growing complexity of modern computing platforms and the need for strong isolation protections among their software components has led to the increased adoption of Trusted Execution Environments (TEEs). While several commercial and…

Cryptography and Security · Computer Science 2022-05-26 Moritz Schneider , Ramya Jayaram Masti , Shweta Shinde , Srdjan Capkun , Ronald Perez
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