From bafcc59f728578c1770998f5df0986089461c4f5 Mon Sep 17 00:00:00 2001 From: jegp Date: Fri, 20 Sep 2024 11:00:44 +0200 Subject: [PATCH] Updated citation and website --- CITATION.cff | 2 +- README.md | 18 ++++++++------ docs/neuroir.org/index.html | 47 ++++++++++++++++++++++--------------- 3 files changed, 40 insertions(+), 27 deletions(-) diff --git a/CITATION.cff b/CITATION.cff index 8d5a632..9b47ee5 100644 --- a/CITATION.cff +++ b/CITATION.cff @@ -1,6 +1,6 @@ cff-version: 1.2.0 title: 'Neuromorphic Intermediate Representation: A Unified Instruction Set for Interoperable Brain-Inspired Computing' -doi: arXiv:2311.14641 +doi: 10.1038/s41467-024-52259-9 message: If you use this software in your work, please cite it as follows. date-released: 2023-11-23 authors: diff --git a/README.md b/README.md index 815081a..d5e2a10 100644 --- a/README.md +++ b/README.md @@ -67,12 +67,16 @@ This work was originally conceived at the [Telluride Neuromorphic Workshop 2023] If you use NIR in your work, please cite the [following arXiv preprint](https://arxiv.org/abs/2311.14641) ``` -@inproceedings{NIR2023, - title={Neuromorphic Intermediate Representation: A Unified Instruction Set for Interoperable Brain-Inspired Computing}, - author={Jens E. Pedersen and Steven Abreu and Matthias Jobst and Gregor Lenz and Vittorio Fra and Felix C. Bauer and Dylan R. Muir and Peng Zhou and Bernhard Vogginger and Kade Heckel and Gianvito Urgese and Sadasivan Shankar and Terrence C. Stewart and Jason K. Eshraghian and Sadique Sheik}, - year={2023}, - doi={https://doi.org/10.48550/arXiv.2311.14641} - archivePrefix={arXiv}, - primaryClass={cs.NE} +article{NIR2024, + title={Neuromorphic intermediate representation: A unified instruction set for interoperable brain-inspired computing}, + author={Pedersen, Jens E. and Abreu, Steven and Jobst, Matthias and Lenz, Gregor and Fra, Vittorio and Bauer, Felix Christian and Muir, Dylan Richard and Zhou, Peng and Vogginger, Bernhard and Heckel, Kade and Urgese, Gianvito and Shankar, Sadasivan and Stewart, Terrence C. and Sheik, Sadique and Eshraghian, Jason K.}, + rights={2024 The Author(s)}, + DOI={10.1038/s41467-024-52259-9}, + number={1}, + journal={Nature Communications}, + volume={15}, + year={2024}, + month=sep, + pages={8122}, } ``` diff --git a/docs/neuroir.org/index.html b/docs/neuroir.org/index.html index 1652aa6..9767613 100644 --- a/docs/neuroir.org/index.html +++ b/docs/neuroir.org/index.html @@ -22,6 +22,7 @@ .font-cinzel { font-family: 'Cinzel', serif; } + [class*="iconoir-"] { vertical-align: middle; margin-top: -0.2rem; @@ -50,6 +51,9 @@

Inspect our code + + Use NIR on your platform @@ -60,21 +64,29 @@

Logo -
+

- The Neuromorphic Intermediate Representation (NIR) is an exchange format that translates neuromorphic software from one platform to another. - NIR is supported by numerous neuromorphic simulators, and is the preferred choice for porting models to neuromorphic hardware platforms.

-

NIR allows researchers and companies to build their software independently from the hardware&emdash;and vice versa. + The Neuromorphic Intermediate Representation (NIR) is an exchange format that translates neuromorphic software from one + platform to another. + NIR is supported by numerous neuromorphic simulators, and is the preferred choice for porting models to neuromorphic hardware platforms.

+

NIR allows researchers and companies to build their software independently from + the hardware—and vice versa. Developers save time by focusing on the NIR graph integration. Users save time by letting them use their favourite toolchain. The seamless translation between software and hardware let's you focus on the job instead of the ecosystem.

- See our supported platforms

+ +
+ +
@@ -84,20 +96,17 @@

Acknowledgement

If you use NIR in your research, please cite the following:


-@article{NIR_2023, 
-  title={Neuromorphic Intermediate Representation: A Unified Instruction Set for Interoperable Brain-Inspired Computing},
-  url={http://arxiv.org/abs/2311.14641},
-  DOI={10.48550/arXiv.2311.14641},
-  note={arXiv:2311.14641 [cs]},
-  number={arXiv:2311.14641},
-  publisher={arXiv},
-  author={Pedersen, Jens E. and Abreu, Steven and Jobst, Matthias and Lenz, Gregor 
-    and Fra, Vittorio and Bauer, Felix C. and Muir, Dylan R. and Zhou, Peng and 
-    Vogginger, Bernhard and Heckel, Kade and Urgese, Gianvito and Shankar, Sadasivan 
-    and Stewart, Terrence C. and Eshraghian, Jason K. and Sheik, Sadique
-  }, 
-  year={2023},
-  month=nov
+@article{NIR2024, 
+    title={Neuromorphic intermediate representation: A unified instruction set for interoperable brain-inspired computing}, 
+    author={Pedersen, Jens E. and Abreu, Steven and Jobst, Matthias and Lenz, Gregor and Fra, Vittorio and Bauer, Felix Christian and Muir, Dylan Richard and Zhou, Peng and Vogginger, Bernhard and Heckel, Kade and Urgese, Gianvito and Shankar, Sadasivan and Stewart, Terrence C. and Sheik, Sadique and Eshraghian, Jason K.}, 
+    rights={2024 The Author(s)},
+    DOI={10.1038/s41467-024-52259-9}, 
+    number={1},
+    journal={Nature Communications}, 
+    volume={15},
+    year={2024}, 
+    month=sep, 
+    pages={8122},
 }

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