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f1ce646
added modulo op
Ameya674 Sep 2, 2024
0f6a518
Update README.md
AtharvaKhedkar Sep 4, 2024
672e3ef
Merge pull request #2 from MPSLab-ASU/readme-update
AtharvaKhedkar Sep 4, 2024
308096d
support negative signed tensor
Megan0704-1 Sep 5, 2024
6596679
Merge pull request #3 from Megan0704-1/negativeTensor
AtharvaKhedkar Sep 11, 2024
5d90b11
Merge pull request #1 from Ameya674/modulo_op
AtharvaKhedkar Oct 11, 2024
c19e20b
fft
Ameya674 Oct 11, 2024
1ae6e37
Merge pull request #9 from MPSLab-ASU/modulo_op
AtharvaKhedkar Oct 15, 2024
67ed568
add echo,hearing_aid and vibrationanalysis apps
AtharvaKhedkar Oct 16, 2024
2763561
Merge pull request #10 from MPSLab-ASU/dspapps
AtharvaKhedkar Oct 16, 2024
6e82ddd
Zero Cross Count op (#8)
kurtis-b Oct 18, 2024
06a87b3
Conv2 dop (#11)
Megan0704-1 Oct 19, 2024
f5d1680
Added ShiftRight and Matmul (#12)
HwisooSo Oct 19, 2024
73e00eb
add convertbinary operation and underwatercomm app (#13)
AtharvaKhedkar Oct 24, 2024
4804185
add benchmark applications and helper scripts (#14)
AtharvaKhedkar Oct 24, 2024
0f6eb10
Qam modulate (#15)
Megan0704-1 Oct 31, 2024
daf7f10
implement qam demodulate (#16)
Megan0704-1 Oct 31, 2024
6d0b6a3
Added find_peaks (#17)
AtharvaKhedkar Oct 31, 2024
cee6a35
Add 12 benchmarks (#18)
AtharvaKhedkar Oct 31, 2024
9a55653
beam form op (#19)
Megan0704-1 Oct 31, 2024
ff64288
qam application (#22)
Megan0704-1 Nov 1, 2024
31cf03d
add dynamic fft and median filter (#21)
Ameya674 Nov 1, 2024
7998af6
beam form application and bug fix (#23)
Megan0704-1 Nov 1, 2024
d1c6ab4
add signal smoothing (#25)
AtharvaKhedkar Nov 1, 2024
c057969
Space communication application (#24)
Megan0704-1 Nov 3, 2024
ad08969
add Findpeaks, biomed signal processing with canonOpt (#26)
HwisooSo Nov 3, 2024
30b67b1
Space communication optimization (#28)
Megan0704-1 Nov 6, 2024
e1651cc
Power op for 1 dimension array (#4)
Megan0704-1 Nov 6, 2024
f628f58
Beam form application v1 (#29)
Megan0704-1 Nov 9, 2024
dab151b
Add benchmark applications (#27)
AtharvaKhedkar Nov 9, 2024
141ff24
Normalize & opt (#30)
Megan0704-1 Nov 9, 2024
76b1b2a
parsevaals opt (#31)
Megan0704-1 Nov 9, 2024
b5187a6
add optimizations for biomed, peakdiffmean (#32)
AtharvaKhedkar Nov 9, 2024
4e5e542
add echo , noise and underwatercomm optimization (#33)
AtharvaKhedkar Nov 10, 2024
3ed94c5
Bug fix - beam form (#36)
Megan0704-1 Nov 10, 2024
1460077
implemented dtmf app (#34)
Ameya674 Nov 10, 2024
77b6fed
Dtmfabs optimization (#37)
AtharvaKhedkar Nov 10, 2024
41a0beb
optimize DTMF, Vibration Analysis (#39)
AtharvaKhedkar Nov 11, 2024
f13c32b
Added correlate op, speaker identification app and correl2max opt (#41)
AtharvaKhedkar Nov 11, 2024
d4b604c
Add Pattern for Energy of Signal or Parsevaal theorem
tridhapuku Nov 12, 2024
ba00253
Merge pull request #42 from MPSLab-ASU/AddPatternForEnergyOfSignal
tridhapuku Nov 12, 2024
d4e5881
added applications (#40)
Ameya674 Nov 14, 2024
1e00932
bugfix for digital modulation implementation (#43)
Megan0704-1 Nov 14, 2024
a11f03b
Add getSize for benchmark (#44)
Megan0704-1 Nov 15, 2024
30d3574
add convolution theorem (#45)
Megan0704-1 Nov 15, 2024
7cfac1a
rename benchmark files for consistency (#46)
AtharvaKhedkar Nov 17, 2024
3165243
Added Hexagon v68 emit option (#48)
AtharvaKhedkar Mar 14, 2025
9143fef
add benchmark resultscripts
AtharvaKhedkar Mar 21, 2025
6893a02
register DSP dialect with mlir-opt (#50)
AtharvaKhedkar May 18, 2025
d28437b
update license
AtharvaKhedkar May 29, 2025
ae377f9
Changed names of dsp flags and descriptions. (#55)
HwisooSo Jul 15, 2025
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11 changes: 11 additions & 0 deletions .gitignore
Original file line number Diff line number Diff line change
Expand Up @@ -35,6 +35,7 @@
# Explicit files to ignore (only matches one).
#==============================================================================#
# Various tag programs
tags
/tags
/TAGS
/GPATH
Expand Down Expand Up @@ -73,3 +74,13 @@ pythonenv*
# automodapi puts generated documentation files here.
/lldb/docs/python_api/
mlir_opt_helper.txt
mlir/examples/dsp/SimpleBlocks/Output/TryDSPApps/BenchmarkTest/Matlab/Output/*
mlir/examples/dsp/SimpleBlocks/Output/TryDSPApps/BenchmarkTest/CCode/Output/*
mlir/examples/dsp/SimpleBlocks/Output/TryDSPApps/BenchmarkTest/DSP-DSL/Output/*
mlir/examples/dsp/SimpleBlocks/Output/TryDSPApps/BenchmarkTest/Output/*
# csv files
*.csv
/mlir/examples/dsp/SimpleBlocks/Output/TryDSPApps/BenchmarkTest/DSP-DSL/LClanglogs
/mlir/examples/dsp/SimpleBlocks/Output/TryDSPApps/BenchmarkTest/DSP-DSL/HClanglogs
/mlir/examples/dsp/SimpleBlocks/Output/TryDSPApps/BenchmarkTest/DSP-DSL/ServerExeLogs
/mlir/examples/dsp/SimpleBlocks/Output/TryDSPApps/BenchmarkTest/CCode/ServerExeLogs
216 changes: 216 additions & 0 deletions LICENSE.TXT
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@@ -1,3 +1,219 @@
==============================================================================
Dual License
==============================================================================

The DSP-MLIR project is dual-licensed under:

1. The DSP-MLIR Apache License, Version 2.0
2. The standard LLVM Project License: Apache License v2.0 with LLVM Exceptions
==============================================================================
The DSP-MLIR Apache License, Version 2.0:


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==============================================================================
The LLVM Project is under the Apache License v2.0 with LLVM Exceptions:
==============================================================================
Expand Down
67 changes: 35 additions & 32 deletions README.md
Original file line number Diff line number Diff line change
@@ -1,44 +1,47 @@
# The LLVM Compiler Infrastructure
# DSP-MLIR Compiler

[![OpenSSF Scorecard](https://api.securityscorecards.dev/projects/github.com/llvm/llvm-project/badge)](https://securityscorecards.dev/viewer/?uri=github.com/llvm/llvm-project)
[![OpenSSF Best Practices](https://www.bestpractices.dev/projects/8273/badge)](https://www.bestpractices.dev/projects/8273)
[![libc++](https://github.com/llvm/llvm-project/actions/workflows/libcxx-build-and-test.yaml/badge.svg?branch=main&event=schedule)](https://github.com/llvm/llvm-project/actions/workflows/libcxx-build-and-test.yaml?query=event%3Aschedule)
This repository contains the source code for **DSP-MLIR**, a compiler tailored for Digital Signal Processing (DSP) applications. It provides highly optimized tools and environments for building, optimizing, and running DSP operations like Fast Fourier Transforms (FFT), Finite Impulse Response (FIR) filters, and more.

Welcome to the LLVM project!
The project is built on top of the **LLVM** infrastructure and leverages the **MLIR** (Multi-Level Intermediate Representation) framework for implementing DSP-specific operations and transformations.

This repository contains the source code for LLVM, a toolkit for the
construction of highly optimized compilers, optimizers, and run-time
environments.

The LLVM project has multiple components. The core of the project is
itself called "LLVM". This contains all of the tools, libraries, and header
files needed to process intermediate representations and convert them into
object files. Tools include an assembler, disassembler, bitcode analyzer, and
bitcode optimizer.

C-like languages use the [Clang](https://clang.llvm.org/) frontend. This
component compiles C, C++, Objective-C, and Objective-C++ code into LLVM bitcode
-- and from there into object files, using LLVM.

Other components include:
the [libc++ C++ standard library](https://libcxx.llvm.org),
the [LLD linker](https://lld.llvm.org), and more.
## Build Instructions

## Getting the Source Code and Building LLVM
To build the DSP-MLIR compiler, follow these steps:

Consult the
[Getting Started with LLVM](https://llvm.org/docs/GettingStarted.html#getting-the-source-code-and-building-llvm)
page for information on building and running LLVM.
### Step 1: Clone this repository and cd into the DSP-MLIR folder.

For information on how to contribute to the LLVM project, please take a look at
the [Contributing to LLVM](https://llvm.org/docs/Contributing.html) guide.

## Getting in touch
### Step 2: Make and cd into the build directory using the following command:

Join the [LLVM Discourse forums](https://discourse.llvm.org/), [Discord
chat](https://discord.gg/xS7Z362),
[LLVM Office Hours](https://llvm.org/docs/GettingInvolved.html#office-hours) or
[Regular sync-ups](https://llvm.org/docs/GettingInvolved.html#online-sync-ups).
```bash
mkdir build
cd build

```
### Step 3: To build the project, run the following command:
```bash
cmake -G Ninja ../llvm \
-DLLVM_ENABLE_PROJECTS=mlir \
-DLLVM_BUILD_EXAMPLES=ON \
-DLLVM_TARGETS_TO_BUILD="Native" \
-DCMAKE_BUILD_TYPE=Release \
-DLLVM_ENABLE_ASSERTIONS=ON
```

### Step 4: After configuring the build, compile the project by running:
```bash
ninja
```

## Running an Example

After the build completes, you can run an example to test the DSP operations. From the build directory:

```bash
ninja && ./bin/dsp1 ../mlir/test/Examples/DspExample/dsp_gain_op.py -emit=mlir-affine
ninja && ./bin/dsp1 ../mlir/test/Examples/DspExample/dsp_gain_op.py -emit=jit
```

The LLVM project has adopted a [code of conduct](https://llvm.org/docs/CodeOfConduct.html) for
participants to all modes of communication within the project.
12 changes: 12 additions & 0 deletions matmul_test/dsp_matmul.py
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def main() {
var x = [[1.0, 2.0], [4.0, 5.0]];
var y = [[1.0, 2.0], [4.0, 5.0]];
var z = matmul(x, y);
print(z);


var x2 = [[1.0, 2.0, 3.0], [4.0, 5.0, 6.0]];
var y2 = [[1.0, 2.0], [3.0, 4.0], [5.0, 6.0]];
var z2 = matmul(x2, y2);
print(z2);
}
2 changes: 2 additions & 0 deletions mlir/.gitignore
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@@ -0,0 +1,2 @@
/examples/dsp/SimpleBlocks/Output/TryDSPApps/BenchmarkTest/DSP-DSL/logs
/examples/dsp/SimpleBlocks/Output/TryDSPApps/BenchmarkTest/Matlab_Functions
14 changes: 7 additions & 7 deletions mlir/examples/dsp/CMakeLists.txt
Original file line number Diff line number Diff line change
@@ -1,11 +1,11 @@
add_custom_target(Dsp)
set_target_properties(Dsp PROPERTIES FOLDER Examples)
# add_custom_target(Dsp)
# set_target_properties(Dsp PROPERTIES FOLDER Examples)

macro(add_dsp_chapter name)
add_dependencies(Dsp ${name})
add_llvm_example(${name} ${ARGN})
endmacro(add_dsp_chapter name)
# macro(add_dsp_chapter name)
# add_dependencies(Dsp ${name})
# add_llvm_example(${name} ${ARGN})
# endmacro(add_dsp_chapter name)


add_subdirectory(SimpleBlocks)
# add_subdirectory(SimpleBlocks)

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