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75 changes: 0 additions & 75 deletions .github/workflows/fpga-ci.yml

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25 changes: 0 additions & 25 deletions .github/workflows/hardware_test.yml

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37 changes: 0 additions & 37 deletions .github/workflows/verilator_compatibility.yml

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6 changes: 0 additions & 6 deletions .gitmodules
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Expand Up @@ -5,12 +5,6 @@
[submodule "dace/external/moodycamel"]
path = dace/external/moodycamel
url = https://github.com/cameron314/concurrentqueue.git
[submodule "dace/external/hlslib"]
path = dace/external/hlslib
url = https://github.com/definelicht/hlslib.git
[submodule "dace/viewer/webclient"]
path = dace/viewer/webclient
url = https://github.com/spcl/dace-webclient.git
[submodule "dace/external/rtllib"]
path = dace/external/rtllib
url = https://github.com/carljohnsen/rtllib.git
3 changes: 1 addition & 2 deletions README.md
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@@ -1,6 +1,5 @@
[![General Tests](https://github.com/spcl/dace/actions/workflows/general-ci.yml/badge.svg)](https://github.com/spcl/dace/actions/workflows/general-ci.yml)
[![GPU Tests](https://github.com/spcl/dace/actions/workflows/gpu-ci.yml/badge.svg)](https://github.com/spcl/dace/actions/workflows/gpu-ci.yml)
[![FPGA Tests](https://github.com/spcl/dace/actions/workflows/fpga-ci.yml/badge.svg)](https://github.com/spcl/dace/actions/workflows/fpga-ci.yml)
[![Documentation Status](https://readthedocs.org/projects/spcldace/badge/?version=latest)](https://spcldace.readthedocs.io/en/latest/?badge=latest)
[![PyPI version](https://badge.fury.io/py/dace.svg)](https://badge.fury.io/py/dace)
[![codecov](https://codecov.io/gh/spcl/dace/branch/main/graph/badge.svg)](https://codecov.io/gh/spcl/dace)
Expand All @@ -13,7 +12,7 @@ _Decoupling domain science from performance optimization._

DaCe is a [fast](https://nbviewer.org/github/spcl/dace/blob/main/tutorials/benchmarking.ipynb) parallel programming
framework that takes code in Python/NumPy and other programming languages, and maps it to high-performance
**CPU, GPU, and FPGA** programs, which can be optimized to achieve state-of-the-art. Internally, DaCe
**CPU, GPU, and [FPGA](https://github.com/spcl/dace-fpga)** programs, which can be optimized to achieve state-of-the-art. Internally, DaCe
uses the Stateful DataFlow multiGraph (SDFG) *data-centric intermediate
representation*: A transformable, interactive representation of code based on
data movement.
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