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🔍 gerhard stenzel 📂 Computer Science
Showing 323 results for "gerhard stenzel" in Computer Science
Computer Science Preprint PDF DOI

Unfolding an Atomistic World: Atomistic Simulation of Reactor Pressure Vessel Steel Across Year-and-Meter Scales

Haozhi Han, Ruge Zhang, Haoquan Chen, Yifeng Chen, Haipeng Jia, Liang Yuan, Yunquan Zhang, Ting Cao, Yunxin Liu, Ya-Qin Zhang, Kun Li · 2026

Lifetime prediction of reactor pressure vessel (RPV) steel requires bridging atomistic degradation mechanisms with service-scale spatial and temporal regimes, from Angstroms and picoseconds to meters …

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Computer Science Preprint PDF DOI

GICC: A High-Performance Runtime for GPU-Initiated Communication and Coordination in Modern HPC Systems

Baodi Shan, Mauricio Araya-Polo, Barbara Chapman · 2026

Distributed GPU applications increasingly rely on kernel-level, cross-node coordination to reduce launch overheads and improve compute-communication overlap, but such support is lacking. On OFI-based …

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Computer Science Preprint PDF DOI

Robust Uniform Recovery of Structured Signals from Nonlinear Observations

Pedro Abdalla, Radu Balan, Junren Chen · 2026

While it is well known that the restricted isometry property (RIP) guarantees uniform sparse recovery from noisy linear measurements, uniform recovery of structured signals from nonlinear observations…

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Computer Science Preprint PDF DOI

EPAC: The Last Dance

Filippo Mantovani, Fabio Banchelli, Pablo Vizcaino, Roger Ferrer, Oscar Palomar, Francesco Minervini, Jesus Labarta, Mauro Olivieri, Sebastiano Pomata, Pedro Marcuello, Jordi Cortina, Alberto Moreno, Josep Sans, Roger Espasa, Vassilis Papaefstathiou, Nikolaos Dimou, Georgios Ieronymakis, Antonis Psathakis, Michalis Giaourtas, Iasonas Mastorakis, Manolis Marazakis, Eric Guthmuller, Andrea Bocco, Jerome Fereyre, Cesar Fuguet, Mate Kovac, Mario Kovac, Luka Mrkovic, Josip Ramljak, Luca Bertaccini, Tim Fischer, Frank K. Gurkaynak, Paul Scheffler, Luca Benini, Bhavishya Goel, Madhavan Manivannan, Tiago Rocha, Nuno Neves, Jens Kruger · 2026

This paper presents EPAC, a RISC-V-based accelerator chip developed within the European Processor Initiative (EPI) as part of a multi-year, multi-partner effort to build a European HPC processor ecosy…

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Computer Science Preprint PDF DOI

AutoLALA: Automatic Loop Algebraic Locality Analysis for AI and HPC Kernels

Yifan Zhu, Yekai Pan, Yanghui Wu, Chen Ding · 2026

Data movement is the primary bottleneck in modern computing systems. For loop-based programs common in high-performance computing (HPC) and AI workloads, including matrix multiplication, tensor contra…

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Computer Science Preprint PDF DOI

A Parametric, Geometry-Aware Residential Construction Cost Estimation Model for Ghana: Design, Validation, and the "Completeness Gap" in Informal Contractor Quotes

Emmanuel Apaaboah (University of Cape Coast), Bernard Opoku (Kwame Nkrumah University of Science, Technology), the GhanaHousePlanner Research Team (GhanaHousePlanner) · 2026

Ghana faces a residential housing deficit of two million units. A key driver of project failure is the "completeness gap", a systematic discrepancy between informal contractor quotes and actual costs.…

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Computer Science Preprint PDF DOI

From Herbrand schemes to functional interpretation

Sebastian Enqvist-Pyk · 2026

Herbrand schemes are a method to extract Herband disjunctions directly from sequent calculus proofs, without appealing to cut elimination, using a formal grammar known as a higher-order recursion sche…

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Computer Science Preprint PDF DOI

Numerical benchmark for damage identification in Structural Health Monitoring

Francesca Marafini, Giacomo Zini, Alberto Barontini, Nuno Mendes, Alice Cicirello, Michele Betti, Gianni Bartoli · 2026

The availability of a dataset for validation and verification purposes of novel data-driven strategies and/or hybrid physics-data approaches is currently one of the most pressing challenges in the eng…

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Computer Science Preprint PDF DOI

BLK-Assist: A Methodological Framework for Artist-Led Co-Creation with Generative AI Models

Daniel Grimes, Rachel M. Harrison · 2026

This paper presents BLK-Assist, a modular framework for artist-specific fine-tuning of diffusion models using parameter-efficient methods. The system is implemented as a case study with a single profe…

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Computer Science Preprint PDF DOI

Do We Need Tensor Cores for Stencil Computations?

Qiqi Gu, Chenpeng Wu, Heng Shi, Jianguo Yao, Haibing Guan · 2026

Stencil computation constitutes a cornerstone of scientific computing, serving as a critical kernel in domains ranging from fluid dynamics to weather simulation. While stencil computations are convent…

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Computer Science Preprint PDF DOI

MPM Lite: Linear Kernels and Integration without Particles

Xiang Feng, Yunuo Chen, Chang Yu, Hao Su, Demetri Terzopoulos, Yin Yang, Joe Masterjohn, Alejandro Castro, Chenfanfu Jiang · 2026

In this paper, we introduce MPM Lite, a new hybrid Lagrangian/Eulerian method that eliminates the need for particle-based quadrature at solve time. Standard MPM practices suffer from a performance bot…

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Computer Science Preprint PDF DOI

LAAFD: LLM-based Agents for Accelerated FPGA Design

Maxim Moraru, Kamalavasan Kamalakkannan, Jered Dominguez-Trujillo, Patrick Diehl, Atanu Barai, Julien Loiseau, Zachary Kent Baker, Howard Pritchard, Galen M Shipman · 2026

FPGAs offer high performance, low latency, and energy efficiency for accelerated computing, yet adoption in scientific and edge settings is limited by the specialized hardware expertise required. High…

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Computer Science Preprint PDF DOI

Making progress: Reducibility Candidates and Cut Elimination in the Ill-founded Realm

Gianluca Curzi, Graham E. Leigh · 2026

Ill-founded (or non-wellfounded) proof systems have emerged as a natural framework for inductive and coinductive reasoning. In such systems, soundness relies on global correctness criteria, such as th…

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Computer Science Preprint PDF DOI

An MLIR Lowering Pipeline for Stencils at Wafer-Scale

Nicolai Stawinoga, David Katz, Anton Lydike, Justs Zarins, Nick Brown, George Bisbas, Tobias Grosser · 2026

The Cerebras Wafer-Scale Engine (WSE) delivers performance at an unprecedented scale of over 900,000 compute units, all connected via a single-wafer on-chip interconnect. Initially designed for AI, th…

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Computer Science Preprint PDF DOI

An Adaptive Distributed Stencil Abstraction for GPUs

Aditya Bhosale, Laxmikant Kale · 2025

The scientific computing ecosystem in Python is largely confined to single-node parallelism, creating a gap between high-level prototyping in NumPy and high-performance execution on modern supercomput…

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Computer Science Preprint PDF DOI

Muddy Waters

Hans van Ditmarsch (CNRS) · 2025

In the 2013 Advent calender of the Berlin Mathematics Research Center MATH+, Gerhard Woeginger presents a novel hat problem with an uncommon initial announcement. Although the information given is ins…

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Computer Science Preprint PDF DOI

QPU Micro-Kernels for Stencil Computation

Stefano Markidis, Luca Pennati, Marco Pasquale, Gilbert Netzer, Ivy Peng · 2025

We introduce QPU micro-kernels: shallow quantum circuits that perform a stencil node update and return a Monte Carlo estimate from repeated measurements. We show how to use them to solve Partial Diffe…

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Computer Science Preprint PDF DOI

SpaDA: A Spatial Dataflow Architecture Programming Language

Lukas Gianinazzi, Tal Ben-Nun, Torsten Hoefler · 2025

Spatial dataflow architectures like the Cerebras Wafer-Scale Engine deliver exceptional performance in AI and scientific computing by distributing scratchpad memory across hundreds of thousands of pro…

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Computer Science Preprint PDF DOI

On the gradient of the coefficient of the characteristic polynomial

Christian Ikenmeyer · 2025

We prove the bivariate Cayley-Hamilton theorem, a powerful generalization of the classical Cayley-Hamilton theorem. The bivariate Cayley-Hamilton theorem has three direct corollaries that are usually …

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Computer Science Preprint PDF DOI

Unlocking Thickness Modeling for Codimensional Contact Simulation

Gonzalo Gomez-Nogales, Zhen Chen, Rosalie Martin, Elena Garces, Danny M. Kaufman · 2025

In this work we analyze and address a fundamental restriction that blocks the reliable application of codimensional yarn-level and shell models with thickness, to simulate real-world woven and knit fa…

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