5 papers
Do AI Models Perform Human-like Abstract Reasoning Across Modalities?
Claas Beger, Ryan Yi, Shuhao Fu +5
OpenAI's o3-preview reasoning model exceeded human accuracy on the ARC-AGI-1 benchmark, but does that mean state-of-the-art models recognize and reason with the abstractions the be…
Beyond Exascale: Dataflow Domain Translation on a Cerebras Cluster
Tomas Oppelstrup, Nicholas Giamblanco, Delyan Z. Kalchev +5
Simulation of physical systems is essential across scientific and engineering domains. Commonly used domain decomposition methods are unable to simultaneously deliver both high sim…
A Performance Portable Matrix Free Dense MTTKRP in GenTen
Gabriel Kosmacher, Eric T. Phipps, Sivasankaran Rajamanickam
We extend the GenTen tensor decomposition package by introducing an accelerated dense matricized tensor times Khatri-Rao product (MTTKRP), the workhorse kernel for canonical polyad…
ShyLU node: On-node Scalable Solvers and Preconditioners Recent Progresses and Current Performance
Ichitaro Yamazaki, Nathan Ellingwood, Sivasankaran Rajamanickam
ShyLU-node is an open-source software package that implements linear solvers and preconditioners on shared-memory multicore CPUs or on a GPU. It is part of the Trilinos software fr…
CELLO: Co-designing Schedule and Hybrid Implicit/Explicit Buffer for Complex Tensor Reuse
Raveesh Garg, Michael Pellauer, Sivasankaran Rajamanickam +1
Tensor algebra accelerators have been gaining popularity for running high-performance computing (HPC) workloads. Identifying optimal schedules for individual tensor operations and…