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new 8fc6517 Add history
8fc6517 is described below
commit 8fc6517f339514bc4a901cb58f4688b841d932f0
Author: tqchen <[email protected]>
AuthorDate: Sun Sep 27 15:43:39 2020 -0700
Add history
---
history.md | 15 +++++++++++++++
index.md | 6 ++++--
2 files changed, 19 insertions(+), 2 deletions(-)
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+---
+layout: page
+title: "History"
+---
+# History
+
+TVM began as a research project at the [SAMPL
group](https://sampl.cs.washington.edu/) of
+Paul G. Allen School of Computer Science & Engineering, University of
Washington.
+The project is now an effort undergoing incubation at The Apache Software
Foundation (ASF),
+driven by an open source community involving multiple industry and academic
institutions
+under the Apache way.
+
+TVM provides two level optimizations show in the following figure.
+Computational graph optimization to perform tasks such as high-level operator
fusion, layout transformation, and memory management.
+Then a tensor operator optimization and code generation layer that optimizes
tensor operators. More details can be found at the
[techreport](https://arxiv.org/abs/1802.04799).
diff --git a/index.md b/index.md
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{:.responsiveImg}
* {:.aboutDetailsCol}
#### About Apache TVM
-Apache TVM is an open deep learning compiler stack for CPUs, GPUs, and
specialized accelerators. It aims to close the gap between the
productivity-focused deep learning frameworks,
-and the performance- or efficiency-oriented hardware backends. TVM provides
the following main features:
+The vision of the Apache TVM Project is to host a diverse community of experts
and practitioners
+in machine learning, compilers, and systems architecture to build an
accessible, extensible, and
+automated open-source framework that optimizes current and emerging machine
learning models for
+any hardware platform. TVM provides the following main features:
* Compilation of deep learning models into minimum deployable modules.
* Infrastructure to automatic generate and optimize models on more backend
with better performance.
