· ai
[Paper] SIGMA: An AI-Empowered Training Stack on Early-Life Hardware
An increasing variety of AI accelerators is being considered for large-scale training. However, enabling large-scale training on early-life AI accelerators face...
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- · software
[Paper] Mapping of the system of software-related emissions and shared responsibilities
The global climate is experiencing a rapid and unprecedented warming trend. The ICT sector is a notable contributor to global greenhouse gas emissions, with its...
- · software
[Paper] A Data Annotation Requirements Representation and Specification (DARS)
With the rise of AI-enabled cyber-physical systems, data annotation has become a critical yet often overlooked process in the development of these intelligent i...
- · ai
[Paper] From User Interface to Agent Interface: Efficiency Optimization of UI Representations for LLM Agents
While Large Language Model (LLM) agents show great potential for automated UI navigation such as automated UI testing and AI assistants, their efficiency has be...
- · software
[Paper] QMon: Monitoring the Execution of Quantum Circuits with Mid-Circuit Measurement and Reset
Unlike classical software, where logging and runtime tracing can effectively reveal internal execution status, quantum circuits possess unique properties, such ...
- · software
[Paper] PSALM: applying Proportional SAmpLing strategy in Metamorphic testing
Metamorphic testing (MT) alleviates the oracle problem by checking metamorphic relations (MRs) across multiple test executions. The fault detection effectivenes...
- · software
[Paper] UCRBench: Benchmarking LLMs on Use Case Recovery
Use cases are widely employed to specify functional requirements, yet existing benchmarks are scarce and face the risk of being misaligned with actual system be...
- · devops
[Paper] Temporal parallelisation of continuous-time maximum-a-posteriori trajectory estimation
This paper proposes a parallel-in-time method for computing continuous-time maximum-a-posteriori (MAP) trajectory estimates of the states of partially observed ...
- · devops
[Paper] SPARS: A Reinforcement Learning-Enabled Simulator for Power Management in HPC Job Scheduling
High-performance computing (HPC) clusters consume enormous amounts of energy, with idle nodes as a major source of waste. Powering down unused nodes can mitigat...
- · software
[Paper] A Decision Support Framework for Blockchain Pattern Selection Based on Soft Goals
Blockchain technology is gaining momentum across many sectors. Whereas blockchain solutions have important positive effects on the business domain, they also in...
- · devops
[Paper] Towards Secure Decentralized Applications and Consensus Protocols in Blockchains (on Selfish Mining, Undercutting Attacks, DAG-Based Blockchains, E-Voting, Cryptocurrency Wallets, Secure-Logging, and CBDC)
With the rise of cryptocurrencies, many new applications built on decentralized blockchains have emerged. Blockchains are full-stack distributed systems where m...
- · devops
[Paper] Toward Self-Healing Networks-on-Chip: RL-Driven Routing in 2D Torus Architectures
We investigate adaptive minimal routing in 2D torus networks on chip NoCs under node fault conditions comparing a reinforcement learning RL based strategy to an...