· devops
[Paper] Otus Supercomputer
Otus is a high-performance computing cluster that was launched in 2025 and is operated by the Paderborn Center for Parallel Computing (PC2) at Paderborn Univers...
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- · ai
[Paper] From sparse recovery to plug-and-play priors, understanding trade-offs for stable recovery with generalized projected gradient descent
We consider the problem of recovering an unknown low-dimensional vector from noisy, underdetermined observations. We focus on the Generalized Projected Gradient...
- · software
[Paper] Challenges in Developing Secure Software -- Results of an Interview Study in the German Software Industry
The damage caused by cybercrime makes the development of secure software inevitable. Although many tools and frameworks exist to support the development of secu...
- · ai
[Paper] An Asynchronous Mixed-Signal Resonate-and-Fire Neuron
Analog computing at the edge is an emerging strategy to limit data storage and transmission requirements, as well as energy consumption, and its practical imple...
- · devops
[Paper] Communication-Efficient Serving for Video Diffusion Models with Latent Parallelism
Video diffusion models (VDMs) perform attention computation over the 3D spatio-temporal domain. Compared to large language models (LLMs) processing 1D sequences...
- · ai
[Paper] Venus: An Efficient Edge Memory-and-Retrieval System for VLM-based Online Video Understanding
Vision-language models (VLMs) have demonstrated impressive multimodal comprehension capabilities and are being deployed in an increasing number of online video ...
- · ai
[Paper] DCO: Dynamic Cache Orchestration for LLM Accelerators through Predictive Management
The rapid adoption of large language models (LLMs) is pushing AI accelerators toward increasingly powerful and specialized designs. Instead of further complicat...
- · devops
[Paper] ContinuumConductor : Decentralized Process Mining on the Edge-Cloud Continuum
Process mining traditionally assumes centralized event data collection and analysis. However, modern Industrial Internet of Things systems increasingly operate ...
- · ai
[Paper] Synchrony-Gated Plasticity with Dopamine Modulation for Spiking Neural Networks
While surrogate backpropagation proves useful for training deep spiking neural networks (SNNs), incorporating biologically inspired local signals on a large sca...
- · ai
[Paper] Winning the Lottery by Preserving Network Training Dynamics with Concrete Ticket Search
The Lottery Ticket Hypothesis asserts the existence of highly sparse, trainable subnetworks ('winning tickets') within dense, randomly initialized neural networ...
- · ai
[Paper] Neuro-Vesicles: Neuromodulation Should Be a Dynamical System, Not a Tensor Decoration
We introduce Neuro-Vesicles, a framework that augments conventional neural networks with a missing computational layer: a dynamical population of mobile, discre...
- · ai
[Paper] Arc Gradient Descent: A Mathematically Derived Reformulation of Gradient Descent with Phase-Aware, User-Controlled Step Dynamics
The paper presents the formulation, implementation, and evaluation of the ArcGD optimiser. The evaluation is conducted initially on a non-convex benchmark funct...