3 papers
cs.CL2026
TensorBench: Benchmarking Coding Agents on a Compiler-Based Tensor Framework
Bobby Yan, Fredrik Kjolstad
Repository-level coding benchmarks face a trade-off between task difficulty and evaluation reliability: tasks that challenge frontier models often involve large codebases with inco…
cs.PL2026
Partitioning Unstructured Sparse Tensor Algebra for Load-Balanced Parallel Execution
Atharva Chougule, Alexander J Root, Rubens Lacouture +3
Sparse tensor algebra is challenging to efficiently parallelize due to the irregular, data-dependent, and potentially skewed structure of sparse computation. We propose the first p…
cs.LG2024
Scorch: A Library for Sparse Deep Learning
Bobby Yan, Alexander J. Root, Trevor Gale +2
The rapid growth in the size of deep learning models strains the capabilities of traditional dense computation paradigms. Leveraging sparse computation has become increasingly popu…