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Learning Chip's Projects

aggregation icon aggregation

The aggregation repository contains a set of algorithms for grouping vertices of DAGs coming from loop-carried dependencies. For more information see Sympiler website

alp icon alp

Home of ALP/GraphBLAS, featuring shared- and distributed-memory auto-parallelisation of linear algebraically formulated graph algorithms and other programs. Soon with more to come!

bootcmatch icon bootcmatch

Bootstrap AMG based on Compatible weighted Matching

dmg icon dmg

Source code for Deep Multigrid method https://arxiv.org/pdf/1711.03825.pdf

ginkgo icon ginkgo

Numerical linear algebra software package

hdagg-benchmark icon hdagg-benchmark

HDagg's source code used to evaluate the paper "HDagg: Hybrid Aggregation of Loop-carried Dependence Iterations in Sparse Matrix Computations."

helmnet icon helmnet

Deep-learning iterative solver for the heterogeneous 2D Helmholtz equation

libflame icon libflame

High-performance object-based library for DLA computations

modern-cpp-template icon modern-cpp-template

A template for modern C++ projects using CMake, Clang-Format, CI, unit testing and more, with support for downstream inclusion.

nanogpt icon nanogpt

The simplest, fastest repository for training/finetuning medium-sized GPTs.

npbench icon npbench

NPBench - A Benchmarking Suite for High-Performance NumPy

pargemslr icon pargemslr

The parGeMSLR is an MPI-based sparse linear system solution/preconditioning package implementation with C++.

parsy_bench icon parsy_bench

Artifact Description for paper titled: ParSy: Inspection and Transformation of Sparse Matrix Computations for Parallelism

sparseinv icon sparseinv

Experiments on sparse inverses based on the Computational Linear Algebra course at EPFL

spllt icon spllt

Sparse Cholesky solver implemented with a runtime system

spral icon spral

Sparse Parallel Robust Algorithms Library

sympiler icon sympiler

Sympiler is a Code Generator for Transforming Sparse Matrix Codes

transformers icon transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

tvm icon tvm

Open deep learning compiler stack for cpu, gpu and specialized accelerators

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