diff --git a/0001-common-gpu-include-thread-and-limit-headers-to-fix-G.patch b/0001-common-gpu-include-thread-and-limit-headers-to-fix-G.patch
new file mode 100644
index 0000000..0a4d6df
--- /dev/null
+++ b/0001-common-gpu-include-thread-and-limit-headers-to-fix-G.patch
@@ -0,0 +1,38 @@
+From cfbefd8d744d4cdcdf3dd2f18576f487b36911b6 Mon Sep 17 00:00:00 2001
+From: Denis Samoilov <denis.samoylov@intel.com>
+Date: Fri, 2 Apr 2021 19:46:22 -0700
+Subject: [PATCH] common, gpu: include thread and limit headers to fix GCC 11
+ build issues
+
+---
+ src/common/primitive_cache.hpp      | 1 +
+ src/gpu/jit/ngen/ngen_auto_swsb.hpp | 1 +
+ 2 files changed, 2 insertions(+)
+
+diff --git a/src/common/primitive_cache.hpp b/src/common/primitive_cache.hpp
+index 73cb1224f..05a3e53e5 100644
+--- a/src/common/primitive_cache.hpp
++++ b/src/common/primitive_cache.hpp
+@@ -20,6 +20,7 @@
+ #include <future>
+ #include <list>
+ #include <memory>
++#include <thread>
+ #include <unordered_map>
+ 
+ #include "c_types_map.hpp"
+diff --git a/src/gpu/jit/ngen/ngen_auto_swsb.hpp b/src/gpu/jit/ngen/ngen_auto_swsb.hpp
+index de3417af3..62ef2a571 100644
+--- a/src/gpu/jit/ngen/ngen_auto_swsb.hpp
++++ b/src/gpu/jit/ngen/ngen_auto_swsb.hpp
+@@ -33,6 +33,7 @@
+ 
+ #include <list>
+ #include <map>
++#include <limits>
+ 
+ namespace ngen {
+ namespace autoswsb {
+-- 
+2.26.2
+
diff --git a/oneDNN-2.2.3.tar.gz b/oneDNN-2.2.3.tar.gz
new file mode 100644
index 0000000..cc02d3a
--- /dev/null
+++ b/oneDNN-2.2.3.tar.gz
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:07e5cc2a30e7bb5a381eba04f8579f427372132ed3d44363f5fd89850a7b50fd
+size 9534138
diff --git a/onednn-2.2.2.tar.gz b/onednn-2.2.2.tar.gz
deleted file mode 100644
index b29264a..0000000
--- a/onednn-2.2.2.tar.gz
+++ /dev/null
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:01e651eb20ca1943bbdf756804fd02d13e5ff3c84b89e3aa5d40abdeb5bb07ee
-size 9533876
diff --git a/onednn.changes b/onednn.changes
index 588e7f5..d3f4c24 100644
--- a/onednn.changes
+++ b/onednn.changes
@@ -1,3 +1,23 @@
+-------------------------------------------------------------------
+Thu Jun  3 01:38:56 UTC 2021 - Ferdinand Thiessen <rpm@fthiessen.de>
+
+- Update to version 2.2.3
+  * Fixed a bug in int8 depthwise convolution ptimitive with groups
+    and 1d spatial size for processors with AVX-512 and AVX2 support
+  * Fixed correctness issue for PReLU primitive
+  * Fixed corretness issue in reorder for blocked layouts with
+    zero padding
+  * Improved performance of weights reorders used by BRGEMM-based
+    convolution primitive for processors with AVX-512 support
+  * Added -fp-model=precise build flag for DPC++ code
+  * Fixed potential memory leak in matmul primitive
+  * Fixed performance of matmul primitive when fused with bias
+    update and sum
+  * Fixed a bug in matmul primitive when writing to non-contiguous
+    destination buffer
+- Add upstream patch for GCC11 support
+  * 0001-common-gpu-include-thread-and-limit-headers-to-fix-G.patch
+
 -------------------------------------------------------------------
 Thu May 27 08:10:13 UTC 2021 - Jan Engelhardt <jengelh@inai.de>
 
diff --git a/onednn.spec b/onednn.spec
index 5ac027a..23b8a88 100644
--- a/onednn.spec
+++ b/onednn.spec
@@ -31,14 +31,16 @@
 
 %define libname libdnnl2
 Name:           onednn
-Version:        2.2.2
+Version:        2.2.3
 Release:        0
 Summary:        Intel Math Kernel Library for Deep Neural Networks
 License:        Apache-2.0
 URL:            https://01.org/onednn
-Source0:        https://github.com/oneapi-src/oneDNN/archive/v%{version}/%{name}-%{version}.tar.gz
-# PATCH-FIX-UPSTREAM - https://github.com/oneapi-src/oneDNN/pull/1045
-Patch1:         onednn-1045.patch
+Source0:        https://github.com/oneapi-src/oneDNN/archive/v%{version}/oneDNN-%{version}.tar.gz
+# PATCH-FIX-UPSTREAM onednn-1045.patch -- https://github.com/oneapi-src/oneDNN/pull/1045
+Patch0:         onednn-1045.patch
+# PATCH-FIX-UPSTREAM 0001-common-gpu-include-thread-and-limit-headers-to-fix-G.patch
+Patch1:         0001-common-gpu-include-thread-and-limit-headers-to-fix-G.patch
 BuildRequires:  cmake
 BuildRequires:  doxygen
 BuildRequires:  fdupes
@@ -114,8 +116,7 @@ Intel MKL-DNN contains vectorized and threaded building blocks that you can use
 to implement deep neural networks (DNN) with C and C++ interfaces.
 
 %prep
-%setup -q -n oneDNN-%{version}
-%autopatch -p1
+%autosetup -p1 -n oneDNN-%{version}
 
 %build
 %cmake \
@@ -169,6 +170,7 @@ popd
 %{_datadir}/benchdnn
 
 %files devel
+%doc README.md
 %{_includedir}/mkl-dnn
 %{_includedir}/mkldnn*.h*
 %{_includedir}/dnnl*.h*
@@ -187,7 +189,6 @@ popd
 
 %files -n %{libname}
 %license LICENSE
-%doc README.md
 %{_libdir}/libdnnl.so.*
 %{_libdir}/libmkldnn.so.*