11 papers
Scaling Laws of Global Weather Models
Yuejiang Yu, Langwen Huang, Alexandru Calotoiu +1
Data-driven models are revolutionizing weather forecasting. To optimize training efficiency and model performance, this paper analyzes empirical scaling laws within this domain. We…
ADELIA: Automatic Differentiation for Efficient Laplace Inference Approximations
Afif Boudaoud, Lisa Gaedke-Merzhäuser, Alexandros Nikolaos Ziogas +6
Spatio-temporal Bayesian inference drives environmental and health sciences using latent Gaussian models. Integrated Nested Laplace Approximations (INLA) enable inference for these…
MLIR-Forge: A Modular Framework for Language Smiths
Berke Ates, Philipp Schaad, Timo Schneider +2
Optimizing compilers are essential for the efficient and correct execution of software across various scientific fields. Domain-specific languages (DSL) typically use higher level…
Design in Tiles: Automating GEMM Deployment on Tile-Based Many-PE Accelerators
Aofeng Shen, Chi Zhang, Yakup Budanaz +4
Tile-based many-Processing Element (PE) accelerators can achieve competitive performance on General Matrix Multiplication (GEMM), but they are extremely hard to program, as their o…
Computing the Full Earth System at 1 km Resolution
Daniel Klocke, Claudia Frauen, Jan Frederik Engels +24
We present the first-ever global simulation of the full Earth system at 1.25 km grid spacing, achieving highest time compression with an unseen number of degrees of freedom. Our mo…
Cppless: Single-Source and High-Performance Serverless Programming in C++
Marcin Copik, Lukas Möller, Alexandru Calotoiu +1
The rise of serverless computing introduced a new class of scalable, elastic and widely available parallel workers in the cloud. Many systems and applications benefit from offloadi…