5680908
doi
10.5281/zenodo.5680908
oai:zenodo.org:5680908
Sioni Summers
CERN
Javier Duarte
UC San Diego
Nhan Tran
Fermi National Accelerator Laboratory
Ben Kreis
jngadiub
Nicolò Ghielmetti
CERN
Duc Hoang
MIT
EJ Kreinar
Kelvin Lin
Maksymilian Graczyk
Imperial College London
Adrian Alan Pol
CERN, Previously IBM
ngpaladi
Dejan Golubovic
CERN
Yutaro Iiyama
University of Tokyo
Zhenbin Wu
University of Illinois at Chicago
Delon
Paolo Cretaro
veyron8800
Anders Wind
Alipes ApS
David
STMicroelectronics
GDG
Columbia University
Jovan Mitrevski
Fermilab
Konstantin Vinogradov
Konstantin Vinogradov
Petr Zejdl
CERN
Sarun Nuntaviriyakul
@vmware
Thea Aarrestad
drankincms
fastmachinelearning/hls4ml: coris
vloncar
arxiv:arXiv:1804.06913
doi:10.1088/1748-0221/13/07/P07027
info:eu-repo/semantics/openAccess
Other (Open)
<p>What's Changed</p>
<ul>
<li><code>VivadoAccelerator</code> backend: target <code>pynq-z2</code> and <code>zcu102</code> boards directly from hls4ml by @nicologhielmetti</li>
<li>Updated <code>PyTorch</code> and <code>ONNX</code> converters by @Duchstf</li>
<li><code>line_buffer</code> Conv2D implementation for <code>io_stream</code>: reduced resource usage and latency by @Keb-L, @violatingcp, @vloncar</li>
<li>Support <code>QConv2DBatchnorm</code> layer from <code>QKeras</code> by @nicologhielmetti</li>
<li>Improved profiling plots - easier to compare original vs <code>hls4ml</code> converted models by @maksgraczyk</li>
<li>Better derivation of data types for <code>QKeras</code> models by @jmduarte, @thesps</li>
<li>Improved CI by @thesps</li>
<li>More support for models with branches, skip connections, <code>Merge</code> and <code>Concatenate</code> layers by @jmduarte, @vloncar</li>
<li>Support for <code>Dense</code> layers over multi-dimensional tensors by @vloncar</li>
<li>Overall improvements by @vloncar, @jmduarte, @thesps, @jmitrevs & others</li>
</ul>
<p>New Contributors</p>
<ul>
<li>@siorpaes made their first contribution in <a href="https://github.com/fastmachinelearning/hls4ml/pull/424">https://github.com/fastmachinelearning/hls4ml/pull/424</a></li>
<li>@jmitrevs made their first contribution in <a href="https://github.com/fastmachinelearning/hls4ml/pull/403">https://github.com/fastmachinelearning/hls4ml/pull/403</a></li>
<li>@anders-wind made their first contribution in <a href="https://github.com/fastmachinelearning/hls4ml/pull/302">https://github.com/fastmachinelearning/hls4ml/pull/302</a></li>
<li>@KOVI89alipes made their first contribution in <a href="https://github.com/fastmachinelearning/hls4ml/pull/318">https://github.com/fastmachinelearning/hls4ml/pull/318</a></li>
<li>@maksgraczyk made their first contribution in <a href="https://github.com/fastmachinelearning/hls4ml/pull/323">https://github.com/fastmachinelearning/hls4ml/pull/323</a></li>
<li>@Keb-L made their first contribution in <a href="https://github.com/fastmachinelearning/hls4ml/pull/332">https://github.com/fastmachinelearning/hls4ml/pull/332</a></li>
<li>@ConsVin made their first contribution in <a href="https://github.com/fastmachinelearning/hls4ml/pull/307">https://github.com/fastmachinelearning/hls4ml/pull/307</a></li>
<li>@nicologhielmetti made their first contribution in <a href="https://github.com/fastmachinelearning/hls4ml/pull/298">https://github.com/fastmachinelearning/hls4ml/pull/298</a></li>
</ul>
<p><strong>Full Changelog</strong>: <a href="https://github.com/fastmachinelearning/hls4ml/compare/v0.5.0...v0.6.0">https://github.com/fastmachinelearning/hls4ml/compare/v0.5.0...v0.6.0</a></p>
Zenodo
2021-11-12
info:eu-repo/semantics/other
1201549
v0.6.0
1683993364.795739
1382259
md5:4793f3df24897d2bfda30614aecd2e89
https://zenodo.org/records/5680908/files/fastmachinelearning/hls4ml-v0.6.0.zip
public
arXiv:1804.06913
Is documented by
arxiv
10.1088/1748-0221/13/07/P07027
Is documented by
doi
10.5281/zenodo.1201549
isVersionOf
doi