Search Results for author: Fredrik Kjolstad

Found 2 papers, 1 papers with code

Scorch: A Library for Sparse Deep Learning

no code implementations27 May 2024 Bobby Yan, Alexander J. Root, Trevor Gale, David Broman, Fredrik Kjolstad

To bridge this gap, we introduce Scorch, a library that seamlessly integrates efficient sparse tensor computation into the PyTorch ecosystem, with an initial focus on inference workloads on CPUs.

BaCO: A Fast and Portable Bayesian Compiler Optimization Framework

1 code implementation1 Dec 2022 Erik Hellsten, Artur Souza, Johannes Lenfers, Rubens Lacouture, Olivia Hsu, Adel Ejjeh, Fredrik Kjolstad, Michel Steuwer, Kunle Olukotun, Luigi Nardi

We introduce the Bayesian Compiler Optimization framework (BaCO), a general purpose autotuner for modern compilers targeting CPUs, GPUs, and FPGAs.

Compiler Optimization

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