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Walter — Thu, 27 Apr 2017 07:14:57 -0000

Hi, I 'm trying to profile load efficiency of MapGraph by using nvprof --metrics branch_efficiency there is a warning: "Warning: No CUDA application was profiled, exiting". I do not know why this is happening.
I used the Redhat 6.5 OS and CUDA 7.5 on K20M GPU card.
Thanks for your kindly response.

Home modified by Bryan Thompson

Bryan Thompson — Sun, 30 Mar 2014 17:57:32 -0000

--- v7
+++ v8
@@ -4,7 +4,7 @@

 [Download MapGraph today](http://sourceforge.net/projects/mpgraph/files/latest/download?source=files).  See the README to get started.

-- [ReleaseGuide]
+- [ReleaseGuide](ReleaseGuide)

 The wiki uses [Markdown](/p/mpgraph/wiki/markdown_syntax/) syntax.

Home modified by Bryan Thompson

Bryan Thompson — Sun, 30 Mar 2014 17:56:51 -0000

--- v6
+++ v7
@@ -4,7 +4,7 @@

 [Download MapGraph today](http://sourceforge.net/projects/mpgraph/files/latest/download?source=files).  See the README to get started.

-- [[ReleaseGuide]]
+- [ReleaseGuide]

 The wiki uses [Markdown](/p/mpgraph/wiki/markdown_syntax/) syntax.

Home modified by Bryan Thompson

Bryan Thompson — Sun, 30 Mar 2014 17:56:32 -0000

--- v5
+++ v6
@@ -4,7 +4,7 @@

 [Download MapGraph today](http://sourceforge.net/projects/mpgraph/files/latest/download?source=files).  See the README to get started.

-- [ReleaseGuide]
+- [[ReleaseGuide]]

 The wiki uses [Markdown](/p/mpgraph/wiki/markdown_syntax/) syntax.

Home modified by Bryan Thompson

Bryan Thompson — Sun, 30 Mar 2014 17:55:48 -0000

--- v4
+++ v5
@@ -4,7 +4,7 @@

 [Download MapGraph today](http://sourceforge.net/projects/mpgraph/files/latest/download?source=files).  See the README to get started.

-- ReleaseGuide
+- [ReleaseGuide]

 The wiki uses [Markdown](/p/mpgraph/wiki/markdown_syntax/) syntax.

Home modified by Mike Personick

Mike Personick — Sun, 30 Mar 2014 16:25:05 -0000

--- v3
+++ v4
@@ -2,7 +2,7 @@

 The MapGraph API makes it easy to develop high performance graph analytics on GPUs. The API is based on the Gather-Apply-Scatter (GAS) model as used in GraphLab. To deliver high performance computation and efficiently utilize the high memory bandwidth of GPUs, MapGraph’s CUDA kernels use multiple sophisticated strategies, such as vertex-degree-dependent dynamic parallelism granularity and frontier compaction.

-[http://sourceforge.net/projects/mpgraph/files/latest/download?source=files Download MapGraph today].  See the README to get started.
+[Download MapGraph today](http://sourceforge.net/projects/mpgraph/files/latest/download?source=files).  See the README to get started.

 - ReleaseGuide

Home modified by Mike Personick

Mike Personick — Sun, 30 Mar 2014 16:22:36 -0000

--- v2
+++ v3
@@ -1,8 +1,8 @@
-Welcome to the MPGraph wiki!
+Welcome to the MapGraph wiki!

-The MPGraph API makes it easy to develop high performance graph analytics on GPUs. The API is based on the Gather-Apply-Scatter (GAS) model as used in GraphLab. To deliver high performance computation and efficiently utilize the high memory bandwidth of GPUs, MPGraph’s CUDA kernels use multiple sophisticated strategies, such as vertex-degree-dependent dynamic parallelism granularity and frontier compaction.
+The MapGraph API makes it easy to develop high performance graph analytics on GPUs. The API is based on the Gather-Apply-Scatter (GAS) model as used in GraphLab. To deliver high performance computation and efficiently utilize the high memory bandwidth of GPUs, MapGraph’s CUDA kernels use multiple sophisticated strategies, such as vertex-degree-dependent dynamic parallelism granularity and frontier compaction.

-[http://sourceforge.net/projects/mpgraph/files/latest/download?source=files Download MPGraph today].  See the README to get started.
+[http://sourceforge.net/projects/mpgraph/files/latest/download?source=files Download MapGraph today].  See the README to get started.

 - ReleaseGuide

Home modified by Bryan Thompson

Bryan Thompson — Mon, 17 Feb 2014 22:22:49 -0000

--- v1
+++ v2
@@ -1,6 +1,10 @@
-Welcome to your wiki!
+Welcome to the MPGraph wiki!

-This is the default page, edit it as you see fit. To add a new page simply reference it within brackets, e.g.: [SamplePage].
+The MPGraph API makes it easy to develop high performance graph analytics on GPUs. The API is based on the Gather-Apply-Scatter (GAS) model as used in GraphLab. To deliver high performance computation and efficiently utilize the high memory bandwidth of GPUs, MPGraph’s CUDA kernels use multiple sophisticated strategies, such as vertex-degree-dependent dynamic parallelism granularity and frontier compaction.
+
+[http://sourceforge.net/projects/mpgraph/files/latest/download?source=files Download MPGraph today].  See the README to get started.
+
+- ReleaseGuide

 The wiki uses [Markdown](/p/mpgraph/wiki/markdown_syntax/) syntax.

Home modified by Bryan Thompson

Bryan Thompson — Wed, 26 Jun 2013 11:00:31 -0000

Welcome to your wiki!

This is the default page, edit it as you see fit. To add a new page simply reference it within brackets, e.g.: [SamplePage].

The wiki uses Markdown syntax.

Project Members:

Bryan Thompson (admin)