From 5dff59039e84624a156cde66fe3f6bcf6e81d761 Mon Sep 17 00:00:00 2001
From: Chethiya Abeysinghe <chethiya@gmail.com>
Date: Sun, 19 Aug 2018 16:38:06 +0530
Subject: [PATCH] Changed Wave Computing logo

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 README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/README.md b/README.md
index ef314cc..04846d8 100644
--- a/README.md
+++ b/README.md
@@ -548,7 +548,7 @@ Bitcoin Mining Giant [Bitmain](https://www.bitmain.com/) is developing processor
 
 <div align="center"><h3> </h3></div>
 <a name="Wave"></a>
-<div align="center"><a href="http://wavecomp.ai/"><img src="https://github.com/basicmi/Deep-Learning-Processor-List/raw/master/resource/Wave_Computing_logo.png" height="40"></a></div>
+<div align="center"><a href="http://wavecomp.ai/"><img src="https://cdn.nanalyze.com/uploads/2017/05/Wave-Computing-Logo-300x61.jpg" height="40"></a></div>
 <div align="center"><h3> </h3></div>
 Wave’s Compute Appliance is capable to run TensorFlow at 2.9 PetaOPS/sec on their 3RU appliance. Wave refers to their processors at DPUs and an appliance has 16 DPUs. Wave uses processing elements it calls Coarse Grained Reconfigurable Arrays (CGRAs). It is unclear what bit width the 2.9 PetaOPS/s is referring to. Some details can be fund in their  [white paper](http://wavecomp.ai/technology/).<br><br>
 After HotChips 2017, in the next plateform article "[First In-Depth View of Wave Computing’s DPU Architecture, Systems](https://www.nextplatform.com/2017/08/23/first-depth-view-wave-computings-dpu-architecture-systems/)", more details were discussed.