11 papers
SpaDA: A Spatial Dataflow Architecture Programming Language
Lukas Gianinazzi, Tal Ben-Nun, Torsten Hoefler
Spatial dataflow architectures like the Cerebras Wafer-Scale Engine deliver exceptional performance in AI and scientific computing by distributing scratchpad memory across hundreds…
Benchmarking Filtered Approximate Nearest Neighbor Search Algorithms on Transformer-based Embedding Vectors
Patrick Iff, Paul Bruegger, Marcin Chrapek +3
Advances in embedding models for text, image, audio, and video drive progress across multiple domains, including retrieval-augmented generation, recommendation systems, and others.…
GraphSeek: Next-Generation Graph Analytics with LLMs
Maciej Besta, Åukasz Jarmocik, Orest Hrycyna +7
Graphs are foundational across domains but remain hard to use without deep expertise. LLMs promise accessible natural language (NL) graph analytics, yet they fail to process indust…
Demystifying Higher-Order Graph Neural Networks
Maciej Besta, Florian Scheidl, Lukas Gianinazzi +4
Higher-order graph neural networks (HOGNNs) and the related architectures from Topological Deep Learning are an important class of GNN models that harness polyadic relations betwee…
Inductive Loop Analysis for Practical HPC Application Optimization
Philipp Schaad, Tal Ben-Nun, Patrick Iff +1
Scientific computing applications heavily rely on multi-level loop nests operating on multidimensional arrays. This presents multiple optimization opportunities from exploiting par…
VEIL: Reading Control Flow Graphs Like Code
Philipp Schaad, Tal Ben-Nun, Torsten Hoefler
Control flow graphs (CFGs) are essential tools for understanding program behavior, yet the size of real-world CFGs makes them difficult to interpret. With thousands of nodes and ed…